IOT BASED SPEAKING SYSTEM FOR MUTE PEOPLE

ABSTRACT
Communication for a person who cannot hear is visual, not auditory. Generally dumb
people use sign language for communication, but they find difficulty in
communicating with others who don’t understand sign language. So, there is a barrier
in communication between these two communities. Smart Glove for Sign Language
Translation is a work that aims to provide a cost-effective system which can give
voice to voiceless person with the help of Smart Gloves. This work consists of a glove
equipped with switches which gives different information’s, these information data are
fed to Node MCU and transfer data to android phone via Wi-Fi module, a common
android phone is used in this work for show location, call and data. In real life, the
sign language users mostly use both hands. Thus, this is a prototype work attempts to
bridge the communication gap between normal ones and the disabled by designing a
portable glove that captures the users gestures and outputs the translated text on an
android phone. It means that using smart gloves lowers the barrier in the means of
communication.

This project uses regulated 5V, 500mA power supply. Unregulated 12V DC is used
for relay. 7805 three terminal voltage regulator is used for voltage regulation. Bridge
type full wave rectifier is used to rectify the ac output of secondary of 230/12V step
down transformer.
 CHAPTER 1
INTRODUCTION TO EMBEDDED SYSTEMS

1.1 INTRODUCTION:

Microcontroller are widely used in Embedded Systems products. An

Embedded product uses the microprocessor (or microcontroller) to do one task &
one task only. A printer is an example of Embedded system since the processor
inside it perform one task only namely getting the data and printing it. Although
microcontroller is preferred choice for many Embedded systems, there are times
that a microcontroller is inadequate for the task. For this reason, in recent years
many manufactures of general-purpose microprocessors such as INTEL, Motorola,
AMD & Cyrix have targeted their microprocessors for the high end of Embedded
market. One of the most critical needs of the embedded system is to decrease
power consumptions and space. This can be achieved by integrating more functions
into the CPU chips. All the embedded processors have low power consumptions in
additions to some forms of I/O, ROM all on a single chip. In higher performance
Embedded system, the trend is to integrate more & more function on the CPU chip
& let the designer decide which feature he/she wants to use.

1.2 EMBEDDED SYSTEM:

Physically, embedded systems range from portable devices such as

digital watches and MP3 players, to large stationary installations like traffic lights,
factory controllers, or the systems controlling nuclear power plants. Complexity
varies from low, with a single microcontroller chip, to very high with multiple
units, peripherals and networks mounted inside a large chassis or enclosure

In general, "embedded system" is not an exactly defined term, as many

systems have some element of programmability. For example, Handheld
computers share some elements with embedded systems such as the operating
systems and microprocessors which power them but are not truly embedded
systems, because they allow different applications to be loaded and peripherals to
be connected. Embedded systems span all aspects of modern life and there are
many examples of their use. Telecommunications systems employ numerous
embedded systems from telephone switches for the network to mobile phones at
the end-user. Computer networking uses dedicated routers and network bridges to
route data.

Examples of Embedded System:

 Automated teller machines (ATMS).

 Integrated system in aircraft and missile.
 Cellular telephones and telephonic switches.
 Computer network equipment, including routers timeservers and firewalls
 Computer printers, Copiers.
 Disk drives (floppy disk drive and hard disk drive)
 Engine controllers and antilock brake controllers for automobiles.
 Home automation products like thermostat, air conditioners sprinkles
and security monitoring system.
 House hold appliances including microwave ovens, washing machines, TV
sets DVD layers/recorders.
 Medical equipment.
 Measurement equipment such as digital storage oscilloscopes, logic
analyzers and spectrum analyzers.
 Multimedia appliances: internet radio receivers, TV set top boxes.
 Small hand-held computer with P1M5 a n d other applications.
 Programmable logic controllers (PLC’s) for industrial automation and
monitoring.
 Stationary video game controllers.

1.3 CHARACTERISTICS:

Embedded systems are designed to do some specific tasks, rather than be

a general-purpose computer for multiple tasks. Some also have real-time
performance constraints that must be met, for reasons such as safety and usability;
others may have low or no performance requirements, allowing the system
hardware to be simplified to reduce costs.
 Embedded systems are not always standalone devices. Many embedded
systems consist of small, computerized parts within a larger device that serves a
more general purpose. For example, the Gibson Robot Guitar features an
embedded system for tuning the strings, but the overall purpose of the Robot Guitar
is, of course, to play music. Similarly, an embedded system in an automobile
provides a specific function as a subsystem of the car itself.

The software written for embedded systems is often called firmware,

and is usually stored in read-only memory or Flash memory chips rather than a disk
drive. It often runs with limited computer hardware resources: small or no
keyboard, screen, and little memory.

1.4 MICROPROCESSOR (MP):

A microprocessor is a general-purpose digital computer central

processing unit (CPU). Although popularly known as a “computer on a chip” is in
no sense a complete digital computer. The block diagram of a microprocessor CPU
is shown, which contains an arithmetic and logical unit (ALU), a program
counter (PC), a stack pointer (SP), some working registers, a clock timing circuit,
and interrupt circuits.

Serial
CPU COM
General RAM ROM I/O Port Timer Port
MICROCONTR
OLLERS (MC)-
Purpose

Fig 1.1 Block diagram of microprocessor

1.5 MICROCONTROLLER (MC):

Figure shows the block diagram of a typical microcontroller. The design

incorporates all of the features found in micro-processor CPU: ALU, PC, SP,
and registers. It also added the other features needed to make a complete
computer: ROM, RAM, parallel I/O, serial I/O, counters, and clock circuit.
 Fig 1.2 Microcontroller

1.6 Comparison between microprocessor and

microcontroller

The microprocessor must have many additional parts to be

operational as a computer whereas microcontroller requires no additional
external digital parts.
1. The prime use of microprocessor is to read data, perform
extensive calculations on that data and store them in the mass storage
device or display it. The prime functions of microcontroller is to read
data, perform limited calculations on it, control its environment based on
these data. Thus, the microprocessor is said to be general-purpose digital
computers whereas the microcontroller is intended to be special purpose
digital controller.
2. Microprocessor need many opcodes for moving data from the
external memory to the CPU, microcontroller may require just one or
two, also microprocessor may have one or two types of bit handling
instructions whereas microcontrollers have many.
Peripherals:

Embedded Systems talk with the outside world via peripherals, such as
 Serial Communication Interfaces (SCI): RS-232, RS-422, RS-
485etc
 Synchronous Serial Communication Interface: I2C, JTAG, SPI,
SSC and ESSI
 Universal Serial Bus (USB)
 Networks: Ethernet, Controller Area Network, LAN networks,
etc.
 Timers: PLL(s), Capture/Compare and Time Processing Units
 Discrete IO: aka General Purpose Input/output (GPIO)
 Ana log to Digital/Digital to Analog (ADC/DAC)

Tools:

As for other software, embedded system designers use compilers,

assemblers, and debuggers to develop embedded system software.
However, they may also use some more specific tools:

 Utilities to add a checksum or CRC to a program, so the

embedded system can check if the program is valid.
 For systems using digital signal processing, developers may use a
math workbench such as MATLAB, Simulink, Mathcad, or
Mathematica to simulate the mathematics. They might also use
libraries for both the host and target which eliminates developing
DSP routines as done in DSP nano RTOS and Unison Operating
System.
 Custom compilers and linkers may be used to improve
optimization for the particular hardware.
 An embedded system may have its own special language or
design tool, or add enhancements to an existing language such as
Forth or Basic.
 Another alternative is to add a Real-time operating system or
Embedded operating system, which may have DSP capabilities
like DSP Nano RTOS.
 CHAPTER 2

OVERVIEW OF THE PROJECT

2.1 INTRODUCTION

Gesture based communication is utilized everywhere throughout the world

by the hearing-hindered and impaired to speak with each other and
whatever remains of the world. Communication via gestures is something
beyond moving fingers or hands; it is a reasonable and noticeable dialect in
which motions assume and vital part. These signs can be successfully
utilized the extent that correspondence with people is concerned yet
regarding correspondence with machines better philosophies and
calculations must be created. Individuals associate with each other to pass
on their thoughts, contemplations, and encounters to the general population
around them. Yet, this isn't the situation for hard of hearing quiet
individuals. Gesture based communication prepares for hard of hearing
quiet individuals to convey. Through gesture-based communication,
correspondence is feasible for a hard of hearing quiet individual without the
methods for sense of hearing sounds. It aims to enhance a system for
diagnosing the sign language, thereby creating a link between dumb people
and normal people, and also reduce the conveyance gap between them.
Hand gesture plays a vital role when compared to other gestures since it
expresses the user's views in less time in this paper to perceive the English
letters in order a present work flex sensor-based signal acknowledgment
module is made. K. Bairagi et al proposed a paper on Glove based gesture
recognition wherein a dumb individual can't talk like an ordinary
individual. To have correspondence between idiotic individuals and typical
individuals, motion correspondence is testing one. Picture preparing based
systems are requiring the camera to be before motion, which may not be
conceivable constantly. To reduce correspondence hole in the middle of
stupid individuals and typical individuals, hand gloves are outlined which
can be effectively worn and worked by the idiotic individual. The protection
sensor and ADXL335 accelerometer sensor are fitted close by gloves,
which can without much of a stretch measure the twist and development of
hand motion of the client These sign signs are changed over into a
computerized flag utilizing ADC. The microcontroller is utilized to
acknowledgment hand motion. After acknowledgment of motion, these
signs are sent to the android telephone by means of Bluetooth module. The
got content flag at an Android is changed over into discourse flag utilizing
Text to Speech android application. The changed over content to discourse
yield is given the assistance of speaker framework with the goal that it will
be useful to ordinary individuals to comprehend sign performed by the
imbecilic individual. The LCD module is likewise used to show perceived
motion at microcontroller. Manisha U. Kakde1 , Amit M. Rawate2 , et al
proposed a paper in which the gesture based communication is a strategy of
correspondence for hearing hindered - quiet individuals. The proposed
framework is planned in genuine time mode to perceive 9 signals from
gesture-based communication utilizing MATLAB. Signs are caught through
web camera and YCbCr shading change show utilized for highlight
extraction. PCA calculation is utilized to perceive sign. PCA thought about
element of caught picture with preparing database and to ascertain least
Euclidian separation. At long last perceived yield is changed over into
content and discourse. this framework takes out correspondence boundary
between hearing disabled quiet and ordinary individuals.

2.2 EXISTING SYSTEM

In Existing System, when movements are performed before marks passed

on in a circumstance, the multipath of each name's flag expansion will be
changed nearby hand improvements, which can be received by the RFID
arrange information. Second, RFID stage data is shown to be more
powerful to natural impedance, labeled items' properties, and furthermore
label introductions, contrasted and Received Signal Strength Indicator.
Since various motions experience diverse spatial ways and cause
unmistakable multipath impacts, subsequently, stage profiles of signals vary
from each other. Signal acknowledgment has risen as of late as a promising
application in our everyday lives. Inferable from a minimal effort, pervasive
accessibility, and basic effortlessness, RFID might turn into a well-known
innovation for motion acknowledgment.

Disadvantage of Existing system

 It is hard to understand every text and sensibility voice for the user.
 It is Not reliable to operations performed.

2.3 PROPOSED SYSTEM

In this project, we propose Glove, a wearable device which acts as an

assistive technology for disabled people. The proposed Glove is a low-cost
solution supporting to users to autonomously communicate with the rest of
the world, letting them directly interact with other persons, without the need
of an assistant or of an interpreter. The proposed Glove is mainly composed
by a glove equipped with sensors, connected with an Arduino Uno
microcontroller, and connected to the mobile phone via Wi-Fi Module.

2.3.1 BLOCK DIAGRAM OF PROPOSED SYSTEM

RPS
IOT

SW1 MOBILE
NODE MCU APP
SW2
ESP8266
SW3
SW4 LCD
SW5
SW6
 Fig 2.1 Block Diagram

2.3.2 HARDWARE COMONENTS

 Power Supply
 Node MCU ESP8266
 Switches
 LCD

2.3.3 SOFTWARE COMPONENTS

 Arduino IDE
 Proteus

2.3.4 TECHNOLOGY USED

 IOT Technology
 CHAPTER 3

IOT TECHNOLOGY

3.1INTRODUCTION OF IOT TECHNOLOGY

1. The term "Internet of Things" has come to describe a number of

technologies and research disciplines that enable the Internet to
reach out into the real world of physical objects.
2. The Internet of Things, also called The Internet of Objects,
refers to a wireless network between objects.
3. From any time, any place connectivity for anyone, we will now
have connectivity for anything!

Fig 3.1 IOT Technology

1.1.1 THE VISION

To improve human health and well-being is the ultimate goal of any

economic, technological and social development. The rapid rising and
aging of population are one of the macro powers that will transform the
world dramatically, it has caused great pressure to food supply and
healthcare systems all over the world, and the emerging technology
breakthrough of the Internet-of-Things (IoT) is expected to offer
promising solutions (National Information Council 2008). Therefore, the
application of IoT technologies for the food supply chain (FSC) (so-
called Food-IoT) and in-home healthcare (IHH) (so-called Health-IoT1)
have been naturally highlighted in the strategic research roadmaps
(European Commission Information Society 2009). To develop
practically usable technologies and architectures of IoT for these two
applications is the final target of this work. The phrase "Internet of
Things" (IoT) was coined at the beginning of the 21st century by the
MIT Auto-ID Center with special mention to Kevin Ashton (Ashton
2009) and David L. Brock (Brock 2001). As a complex cyber- physical
system, the IoT

Integrates all kinds of sensing, identification, communication,

networking, and informatics devices and systems, and seamlessly
connects all the people and things upon interests, so that anybody, at any
time and any place, through any device and media, can more efficiently
access the information of any object and any service (ITU 2005,
European Commission Information Society 2008 and 2009).
“Ubiquitous” is the distinct feature of IoT technologies, so the IoT is
often related to ubiquitous identification (Sheng et al. 2010), ubiquitous
sensing (ITU-T, 2008), ubiquitous computing (Fried Ewald and Raabe
2011), ubiquitous intelligence (Zheng et al. 2008), etc. As shown in
Figure 1-1, a vivid description of this vision has been illustrated in a
report by The Economist in 2007 (The Economist 2007).

A vivid description of the vision of Internet-of-Things

(Authorized by Jon Berkeley) The impact caused by the IoT to human
life will be as huge as the internet has caused in the past decades, so the
IoT is recognized as “the next of internet”. A part of the enabling
technologies are sensors and actuators, Wireless Sensor Network
(WSN), Intelligent and Interactive Packaging (I2Pack), real-time
embedded system, Microelectromechanical Systems (MEMS), mobile
internet access, cloud computing, Radio Frequency Identification
(RFID), Machine-to-Machine (M2M) communication, human machine
interaction (HMI), middleware, Service Oriented Architecture (SOA),
Enterprise Information System (EIS), data mining, etc. With various
descriptions from various viewpoints, the IoT has become the new
paradigm of the evolution of information and communication technology
(ICT).

3.2 CHARACTERISTICS FOR INTERNET OF

THINGS: -

 Event driven

 Ambient intelligence

 Flexible structure

 Semantic sharing

 Complex access technology

Anyone who says that the Internet has fundamentally changed

society may be right, but at the same time, the greatest transformation
actually still lies ahead of us. Several new technologies are now
converging in a way that means the Internet is on the brink of a
substantial expansion as objects large and small get connected and
assume their own web identity.

Following on from the Internet of computers, when our servers

and personal computers were connected to a global network, and the
Internet of mobile telephones, when it was the turn of telephones and
other mobile units, the next phase of development is the Internet of
things, when more or less anything will be connected and managed in
the virtual world. This revolution will be the Net’s largest enlargement
ever and will have sweeping effects on every industry — and all of our
everyday lives.

Smart connectivity with existing networks and context-aware

computation using network resources is an indispensable part of IoT.
With the growing presence of Wi-Fi and 4G-LTE wireless Internet
access, the evolution towards ubiquitous information and communication
networks is already evident. However, for the Internet of Things vision
to successfully emerge, the computing paradigm will need to go beyond
traditional mobile computing scenarios that use smart phones and
portables, and evolve into connecting everyday existing objects and
embedding intelligence into our environment. For technology to
disappear from the consciousness of the user, the Internet of Things
demands: a shared understanding of the situation of its users and their
appliances, software architectures and pervasive communication
networks to process and convey the contextual information to where it is
relevant, and the analytics tools in the Internet of Things that aim for
autonomous and smart behavior. With these three fundamental grounds
in place, smart connectivity and context-aware computation can be
accomplished.

A radical evolution of the current Internet into a Network of

interconnected objects that not only harvests information from the
environment (sensing) and interacts with the physical world (actuation/
command/control), but also uses existing Internet standards to provide
services for information transfer, analytics, applications, and
communications. Fueled by the prevalence of devices enabled by open
wireless technology such as Bluetooth, radio frequency identification
(RFID), Wi-Fi, and telephonic data services as well as embedded sensor
and actuator nodes, IoT has stepped out of its infancy and is on the verge
of transforming the current static Internet into a fully integrated Future
Internet.

The Internet revolution led to the interconnection between

people at an unprecedented scale and pace. The next revolution will be
the interconnection between objects to create a smart environment. Only
in 2011 did the number of interconnected devices on the planet overtake
the actual number of people. Currently there are 9 billion interconnected
devices and it is expected to reach 24 billion devices by 2020. According
to the GSMA, this amounts to $1.3 trillion revenue opportunities for
mobile network operators alone spanning vertical segments such as
health, automotive, utilities and consumer electronics.

3.3DEFITNITION OF INTERNET OF THINGS (IoT)

“Today computers—and, therefore, the Internet—are almost

wholly dependent on human beings for information. Nearly all of the
roughly 50 petabytes(a petabyte is 1,024 terabytes) of data available on
the Internet were first captured and created by human beings— by
typing, pressing a record button, taking a digital picture, or scanning a
bar code. Conventional diagrams of the Internet … leave out the most
numerous and important routers of all - people. The problem is, people
have limited time, attention and accuracy—all of which means they are
not very good at capturing data about things in the real world. And that's
a big deal. We're physical, and so is our environment … You can't eat
bits, burn them to stay warm or put them in your gas tank. Ideas and
information are important, but things matter much more. Yet today's
information technology is so dependent on data originated by people that
our computers know more about ideas than things. If we had computers
that knew everything there was to know about things—using data they
gathered without any help from us—we would be able to track and count
everything, and greatly reduce waste, loss and cost. We would know
when things needed replacing, repairing or recalling, and whether they
were fresh or past their best. The Internet of Things has the potential to
change the world, just as the Internet did. Maybe even more so”.

“Things are active participants in business, information and social

processes where they are enabled to interact and communicate among
themselves and with the environment by exchanging data and
information sensed about the environment, while reacting autonomously
to the real/physical world events and influencing it by running processes
that trigger actions and create services with or without direct human
intervention.”
“The Internet of Things represents an evolution in which objects are
capable of interacting with other objects. Hospitals can monitor and
regulate pacemakers’ long distance, factories can automatically address
production line issues and hotels can adjust temperature and lighting
according to a guest's preferences, to name just a few examples.”

3.4 24 HOURS IN FUTURE WITH INTERNET OF

THINGS
How many devices do you currently own? Three, four or more?
A laptop, a tablet, a smartphone or even a smart watch and a smart band
or the new Nike smart shoes maybe? It goes without saying that
technology has become an indispensable part of our lives.

Here is how 24 hours would like in the future with IoT-

I wouldn’t need to set an alarm for the next day. My smartphone

will pick up the time of my meeting from my digital calendar will
connect to estimate the real time traffic and predict my travelling time to
the meeting venue will analyze how much time I usually take to get
ready AND finally it will calculate how early I need to wake up!

My smart heater would know that I am up and it will adjust the

water temperature according to my preference.

When I'll be ready to leave the house, the smart refrigerator will
tell me that there is milk and fruits for my breakfast and I shouldn’t eat
cheese today because I didn’t exercise yesterday. It is so smart that if any
food item has finished or expired- it will connect to the supermarket on
the internet, order my groceries and I would be able to pay sitting from
anywhere anytime through my mobile wallet.

When I am finished eating breakfast, my smart car will turn the

AC on so that as soon as I start driving there is a favorable temperature
in the car and smart radio will be automatically turned to my favorite
radio station. When let's say I get back from a yoga class, my smart
clothing will know that I am sweating and this data will be sent to my
smart home temperature system which will adjust the room temperature
as soon as I enter the house to make me feel comfortable.

These devices are so smart that they would be collecting data from my
physical movements and will monitor my activities and behavior to
do predictive analysis of my routine and preferences. You would be
amazed at how many such smart devices already exist or are going to be
available in the near future to make up a powerful Internet of Things.

3.5ARCHITECTURE OF INTERNET OF THINGS

Architecture of internet Of Things contains basically 4 layers:

Application Layer

1. Gateway and the network layer

2. Management Service layer
3. Sensor layer

3.5.1 APPLICATION LAYER:

 Lowest Abstraction Layer

 With sensors we are creating digital nervous system.

 Incorporated to measure physical quantities

 Interconnects the physical and digital world

 Collects and process the real time information

3.5.2 GATEWAY AND THE NETWORK LAYER:

 Robust and High-performance network infrastructure

 Supports the communication requirements for latency, bandwidth

or security

 Allows multiple organizations to share and use the same network

independently

3.5.3 MANAGEMENT LAYER:

 Capturing of periodic sensory data

 Data Analytics (Extracts relevant information from massive

amount of raw data)

 Streaming Analytics (Process real time data)

  Ensures security and privacy of data.

3.5.4 SENSOR LAYER:

 Provides a user interface for using IoT.
 Different applications for various sectors like Transportation,
Healthcare, Agriculture, Supply chains, Government, Retail etc.

3.6 INTERNET OF THINGS ELEMENTS

There are three IoT components which enables seamless:

a) Hardware—made up of sensors, actuators and embedded

communication hardware
b) Middleware—on demand storage and computing tools for data
analytics and
c) Presentation—novel easy to understand visualization and
interpretation tools which can be widely accessed on different
platforms and which can be designed for different applications

3.7 RADIO FREQUENCY IDENTIFICATION (RFID)

RFID technology is a major breakthrough in the embedded
communication paradigm which enables design of microchips for
wireless data communication. They help in the automatic identification
of anything they are attached to acting as an electronic barcode. The
passive RFID tags are not battery powered and they use the power of the
reader’s interrogation signal to communicate the ID to the RFID reader.
This has resulted in many applications particularly in retail and supply
chain management. The applications can be found in transportation
(replacement of tickets, registration stickers) and access control
applications as well. The passive tags are currently being used in many
bank cards and road toll tags which are among the first global
deployments. Active RFID readers have their own battery supply and
can instantiate the communication. Of the several applications, the main
application of active RFID tags is in port containers for monitoring
cargo.
3.8WIRELESS SENSOR NETWORKS (WSN)

Recent technological advances in low power integrated circuits and

wireless communications have made available efficient, low cost, low
power miniature devices for use in remote sensing applications. The
combination of these factors has improved the viability of utilizing a
sensor network consisting of a large number of intelligent sensors,
enabling the collection, processing, analysis and dissemination of
valuable information, gathered in a variety of environments. Active
RFID is nearly the same as the lower end WSN nodes with limited
processing capability and storage. The scientific challenges that must be
overcome in order to realize the enormous potential of WSNs are
substantial and multidisciplinary in nature. Sensor data are shared
among sensor nodes and sent to a distributed or centralized system for
analytics. The components that make up the WSN monitoring network
include:

a) WSN hardware—Typically a node (WSN core hardware)

contains sensor interfaces, processing units, transceiver units and
power supply. Almost always, they comprise of multiple A/D
converters for sensor interfacing and more modern sensor nodes
have the ability to communicate using one frequency band
making them more versatile.

b) WSN communication stack—The nodes are expected to be

deployed in an ad-hoc manner for most applications. Designing
an appropriate topology, routing and MAC layer is critical for the
scalability and longevity of the deployed network. Nodes in a
WSN need to communicate among themselves to transmit data in
single or multi-hop to a base station. Node drop outs, and
consequent degraded network lifetimes, are frequent.

c) WSN Middleware—A mechanism to combine cyber

infrastructure with a Service Oriented Architecture (SOA) and
sensor networks to provide access to heterogeneous sensor
resources in a deployment independent manner. This is based on
 the idea of isolating resources that can be used by several
applications. A platform-independent middleware for developing
sensor applications is required, such as an Open Sensor Web
Architecture.

d) Secure Data aggregation—An efficient and secure data

aggregation method is required for extending the lifetime of the
network as well as ensuring reliable data collected from sensors.
Node failures are a common characteristic of WSNs, the network
topology should have the capability to heal itself. Ensuring
security is critical as the system is automatically linked to
actuators and protecting the systems from intruders becomes very
important.

3.9APPLICATIONS:

There are several application domains which will be impacted by

the emerging Internet of Things. The applications can be classified based
on the type of network availability, coverage, scale, heterogeneity,
repeatability, user involvement and impact.

We categorize the applications into four application domains:

1) Personal and Home

2) Enter prize.
3) Utilities.
4) Mobile.

There is a huge crossover in applications and the use of data between

domains. For instance, the Personal and Home IoT produces electricity
usage data in the house and makes it available to the electricity (utility)
company which can in turn optimize the supply and demand in the
Utility IoT. The internet enables sharing of data between different
service providers in a seamless manner creating multiple business
opportunities.
3.9.1 PERSONAL AND HOME
The sensor information collected is used only by the individuals
who directly own the network. Usually, Wi-Fi is used as the backbone
enabling higher bandwidth data (video) transfer as well as higher
sampling rates (Sound).

Ubiquitous healthcare has been envisioned for the past two

decades. IoT gives a perfect platform to realize this vision using body
area sensors and IoT back end to upload the data to servers. For instance,
a Smartphone can be used for communication along with several
interfaces like Bluetooth for interfacing sensors measuring physiological
parameters. So far, there are several applications available for Apple
iOS, Google Android and Windows Phone operating systems that
measure various parameters. However, it is yet to be centralized in the
cloud for general physicians to access the same.

An extension of the personal body area network is creating a

home monitoring system for elderly care, which allows the doctor to
monitor patients and the elderly in their homes thereby reducing
hospitalization costs through early intervention and treatment.

Control of home equipment such as air conditioners,

refrigerators, washing machines etc., will allow better home and energy
management. This will see consumers become involved in the IoT
revolution in the same manner as the Internet revolution itself.

Social networking is set to undergo another transformation with

billions of interconnected objects. An interesting development will be
using a Twitter like concept where individual ‘Things’ in the house can
periodically tweet the readings which can be easily followed from
anywhere creating a Tweetot. Although this provides a common
framework using cloud for information access, a new security paradigm
will be required for this to be fully realized.

3.9.2 ENTER PRIZE

We refer to the ‘Network of Things’ within a work environment
as an enter prize- based application. Information collected from such
networks are used only by the owners and the data may be released
selectively. Environmental monitoring is the first common application
which is implemented to keep track of the number of occupants and
manage the utilities within the building (e.g., HVAC, lighting).

Sensors have always been an integral part of the factory setup for
security, automation, climate control, etc. This will eventually be
replaced by a wireless system giving the flexibility to make changes to
the setup whenever required. This is nothing but an IoT subnet dedicated
to factory maintenance.

One of the major IoT application areas that is already drawing

attention is Smart Environment IoT. There are several test beds being
implemented and many more planned in the coming years. Smart
environment includes subsystems and the characteristics from a
technological perspective.

These applications are grouped according to their impact areas.

This includes the effect on citizens considering health and well-being
issues; transport in light of its impact on mobility, productivity,
pollution; and services in terms of critical community services managed
and provided by local government to city inhabitants.
 3.9.3Utilities

The information from the networks in this application domain is

usually for service optimization rather than consumer consumption. It is
already being used by utility companies (smart meter by electricity
supply companies) for resource management in order to optimize cost
vs. profit. These are made up of very extensive networks (usually laid
out by large organization on a regional and national scale) for
monitoring critical utilities and efficient resource management. The
backbone network used can vary between cellular, Wi-Fi and satellite
communication.

Smart grid and smart metering are another potential IOT

application which is being implemented around the world. Efficient
energy consumption can be achieved by continuously monitoring every
electricity point within a house and using this information to modify the
way electricity is consumed. This information at the city scale is used for
maintaining the load balance within the grid ensuring high quality of
service.

Video based IOT, which integrates image processing, computer

vision and networking frameworks, will help develop a new challenging
scientific research area at the intersection of video, infrared, microphone
and network technologies. Surveillance, the most widely used camera
network applications, helps track targets, identify suspicious activities,
detect left luggage and monitor unauthorized access.

Water network monitoring and quality assurance of drinking water is

another critical application that is being addressed using IOT. Sensors
measuring critical water parameters are installed at important locations
in order to ensure high supply quality. This avoids accidental
contamination among storm water drains, drinking water and sewage
disposal. The same network can be extended to monitor irrigation in
agricultural land. The network is also extended for monitoring soil
parameters which allows informed decision-making concerning
agriculture.

3.9.4 MOBILE:
Smart transportation and smart logistics are placed in a separate
domain due to the nature of data sharing and backbone implementation
required. Urban traffic is the main contributor to traffic noise pollution
and a major contributor to urban air quality degradation and greenhouse
gas emissions. Traffic congestion directly imposes significant costs on
economic and social activities in most cities. Supply chain efficiencies
and productivity, including just-in-time operations, are severely
impacted by this congestion causing freight delays and delivery schedule
failures. Dynamic traffic information will affect freight movement, allow
better planning and improved scheduling. The transport IoT will enable
the use of large scale WSNs for online monitoring of travel times,
origin– destination (O–D) route choice behavior, queue lengths and air
pollutant and noise emissions. The IoT is likely to replace the traffic
information provided by the existing sensor networks of inductive loop
vehicle detectors employed at the intersections of existing traffic control
systems. They will also underpin the development of scenario-based
models for the planning and design of mitigation and alleviation plans,
as well as improved algorithms for urban traffic control, including multi-
objective control systems. Combined with information gathered from the
urban traffic control system, valid and relevant information on traffic
conditions can be presented to travelers. The prevalence of Bluetooth
technology (BT) devices reflects the current IoT penetration in a number
of digital products such as mobile phones, car hands-free sets, navigation
systems, etc. BT devices emit signals with a unique Media Access
Identification (MAC-ID) number that can be read by BT sensors within
the coverage area.

Readers placed at different locations can be used to identify the

movement of the devices. Complemented by other data sources such as
traffic signals, or bus GPS, research problems that can be addressed
include vehicle travel time on motorways and arterial streets, dynamic
(time dependent) O–D matrices on the network, identification of critical
intersections, and accurate and reliable real time transport network state
information. There are many privacy concerns by such usages and digital
forgetting is an emerging domain of research in IoT where privacy is a
concern. Another important application in mobile IoT domain is efficient
logistics management. This includes monitoring the items being
transported as well as efficient transportation planning. The monitoring
of items is carried out more locally, say, within a truck replicating
enterprize domain but transport planning is carried out using a large
scale IoT network.

3.9.5 CLOUD CENTRIC INTERNET OF

THINGS
The vision of IoT can be seen from two perspectives— ‘Internet’
centric and ‘Thing’ centric. The Internet centric architecture will involve
internet services being the main focus while data is contributed by the
objects. In the object centric architecture, the smart objects take the
center stage.

In order to realize the full potential of cloud computing as well as

ubiquitous sensing, a combined framework with a cloud at the center
seems to be most viable. This not only gives the flexibility of dividing
associated costs in the most logical manner but is also highly scalable.
Sensing service providers can join the network and offer their data using
a storage cloud; analytic tool developers can provide their software tools;
artificial intelligence experts can provide their data mining and machine
learning tools useful in converting information to knowledge and finally
computer graphics designers can offer a variety of visualization tools.
Cloud computing can offer these services as Infrastructures, Platforms or
Software where the full potential of human creativity can be tapped
using them as services.

The new IoT application specific framework should be able to provide

support for:

a) Reading data streams either from sensors directly or fetch the

data from databases.
b) Easy expression of data analysis logic as functions/operators that
process data streams in a transparent and scalable manner on
Cloud infrastructures
c) If any events of interest are detected, outcomes should be passed
to output streams, which are connected to a visualization
program. Using such a framework, the developer of IoT
applications will able to harness the power of Cloud computing
without knowing low-level details of creating reliable and scale
applications.

3.9.6 BENEFITS OF INTERNET OF THINGS

 Improved citizen's quality of life

Healthcare from anywhere

Better safety, security and productivity

 New business opportunities

 IoT can be used in every vertical for improving the efficiency

Creates new businesses, and new and better jobs

 Economic growth

Billions of dollars in savings and new services

 Better environment

Saves natural resources and trees

Helps in creating a smart, greener and sustainable planet

 Improved competitiveness

Competitive in providing cutting edge products/services

3.10 INTERNET OF THINGS IN 2016

3.10.1 SMARTWATCHES

Smartwatches broke new ground last year, with the popularity of

the devices like the pebble and the Galaxy Gear. More mart watches
making their way in the market with better and at the feasible prices.
With apple’s long-anticipated but expected announcement of the iWatch,
as the company has been ramping up its sapphire glass production and
flexible, wearable watch like patents.

Industry Innovators: Pebble, Meta watch, Samsung Galaxy Gear

3.10.2THE AUTOMATED HOME

Popular devices like Google’s Nest Smart Thermostat and
WeMo’s electrical outlet controller gained in popularity last year. Since
then, numerous home automation IoT technologies have flourished-
everything from smart locks to Wi-Fi enabled light bulbs.

Industry Innovators: Nest, Lockitron, Lifx

3.10.3FITNESS AND HEALTH

TRACKING
 Last year, health and fitness devices like Nike Fuel band and
Jawbone Up were among the most popular IoT gadgets, making large
appearance at CES.

Industry Innovators: Fitbit, Nike, Jawbone

3.10.4CONNECTED RETAIL
Traditional retailer store is struggling to keep up with the
growing e-commerce. Thanks to the Internet Of Things, innovators have
started to breathe new life into the retail experience- offering connected
point of sale systems, NFC payments solutions and supply chain
software’s.

Industry Innovators: Shop keep, Cisco, Place meter

3.10.5VIRTUAL AUGMENTED
REALITY
Last year Oculus Rift and Google glass made headline in both the
virtual and augmented Reality worlds. Oculus was acquired by Facebook
for $2.3 Billion earlier this year and Google glass recently rolled out a
one-day sale of its “Explorer Edition”.

Industry Innovators: Oculus, Google Glass, Sony

3.11 OPEN CHALLENGES AND FUTURE

DIRECTIONS

The proposed Cloud centric vision comprises a flexible and open

architecture that is user centric and enables different players to interact
in the IoT framework. It allows interaction in a manner suitable for their
own requirements, rather than the IoT being thrust upon them. In this
way, the framework includes provisions to meet different requirements
for data ownership, security, privacy, and sharing of information.

Some open challenges are discussed based on the IoT elements presented
earlier. The challenges include IoT specific challenges such as privacy,
participatory sensing, data analytics, GIS based visualization and
Cloud computing apart from the standard WSN challenges including
architecture, energy efficiency, security, protocols, and Quality of
Service.

3.11.1 ARCHITECTURE
Overall architecture followed at the initial stages of IoT research
will have a severe bearing on the field itself and needs to be investigated.
Most of the works relating to IoT architecture have been from the
wireless sensor networks perspective.

European Union projects of SENSEI and Internet of Things-

Architecture (IoT-A) have been addressing the challenges particularly
from the WSN perspective and have been very successful in defining the
architecture for different applications.

3.11.2 ENERGY EFFICIENT

SENSING
Efficient heterogeneous sensing of the urban environment needs
to simultaneously meet competing demands of multiple sensing
modalities. This has implications on network traffic, data storage, and
energy utilization. Importantly, this encompasses both fixed and mobile
sensing infrastructure as well as continuous and random sampling. A
generalized framework is required for data collection and modeling that
effectively exploits spatial and temporal characteristics of the data, both
in the sensing domain as well as the associated transform domains.

3.11.3 SECURE
REPROGRAMMABLE NETWORKS
AND PRIVACY
Security will be a major concern wherever networks are deployed
at large scale. There can be many ways the system could be attacked—
disabling the network availability; pushing erroneous data into the
network; accessing personal information; etc.

The three physical components of IoT—RFID, WSN and cloud

are vulnerable to such attacks. Security is critical to any network and the
first line of defense against data corruption is cryptography.
 Of the three, RFID (particularly passive) seems to be the most
vulnerable as it allows person tracking as well as the objects and no
high-level intelligence can be enabled on these devices. These complex
problems however have solutions that can be provided using
cryptographic methods and deserve more research before they are widely
accepted.

Against outsider attackers, encryption ensures data confidentiality,

whereas message authentication codes ensure data integrity and
authenticity. Encryption, however, does not protect against insider
malicious attacks, to address which non cryptographic means are
needed, particularly in WSNs. Also, periodically, new sensor
applications need to be installed, or existing ones need to be updated.
This is done by remote wireless reprogramming of all nodes in the
network. Traditional network reprogramming consists solely of a data
dissemination protocol that distributes code to all the nodes in the
network without authentication, which is a security threat. A secure
reprogramming protocol allows the nodes to authenticate every code
update and prevent malicious installation. Most such protocols are based
on the benchmark protocol Deluge. We need cryptographic add-ons to
Deluge, which lays the foundation for more sophisticated algorithms to
be developed. Security in the cloud is another important area of research
which will need more attention. Along with the presence of the data and
tools, cloud also handles economics of IoT which will make it a bigger
threat from attackers. Security and identity protection becomes critical
in hybrid clouds where private as well as public clouds will be used by
businesses. Remembering forever in the context of IoT raises many
privacy issues as the data collected can be used in positive (for
advertisement services) and negative ways (for defamation). Digital
forgetting could emerge as one of the key areas of research to address
the concerns and the development of an appropriate framework to
protect personal data.

3.11.4 QUALITY OF SERVICE

Heterogeneous networks are (by default) multi-service; providing
more than one distinct application or service. This implies not only
multiple traffic types within the network, but also the ability of a single
network to support all applications without QoS compromise. There are
two application classes: throughput and delay tolerant elastic traffic of
(e.g., monitoring weather parameters at low sampling rates), and the
bandwidth and delay sensitive inelastic (real-time) traffic (e.g., noise or
traffic monitoring), which can be further discriminated by data-related
applications (e.g., high-vs.-low resolution videos) with different QoS
requirements. Therefore, a controlled, optimal approach to serve
different network traffics, each with its own application QoS needs is
required. It is not easy to provide QoS guarantees in wireless networks,
as segments often constitute ‘gaps’ in resource guarantee due to resource
allocation and management ability constraints in shared wireless media.
Quality of Service in Cloud computing is another major research area
which will require more and more attention as the data and tools become
available on clouds. Dynamic scheduling and resource allocation
algorithms based on particle swarm optimization are being developed.
For high-capacity applications and as IoT grows, this could become a
bottleneck.

3.11.5 NEW PROTOCOLS

The protocols at the sensing end of IoT will play a key role in
complete realization. They form the backbone for the data tunnel
between sensors and the outer world. For the system to work efficiently,
an energy efficient MAC protocol and appropriate routing protocol are
critical. Several MAC protocols have been proposed for various domains
with TDMA (collision free), CSMA (low traffic efficiency) and FDMA
(collision free but requires additional circuitry in nodes) schemes
available to the user. None of them are accepted as a standard and with
more ‘things’ available this scenario is going to get more cluttered,
which requires further research. An individual sensor can drop out for a
number of reasons, so the network must be self-adapting and allow for
multi-path routing. Multi-hop routing protocols are used in mobile ad
hoc networks and terrestrial WSNs. They are mainly divided into three
categories—data centric, location based and hierarchical, again based on
different application domains. Energy is the main consideration for the
existing routing protocols. In the case of IoT, it should be noted that a
backbone will be available and the number of hops in the multi- hop
scenario will be limited. In such a scenario, the existing routing
protocols should suffice in practical implementation with minor
modifications.

3.11.6 CLOUD COMPUTING

Integrated IoT and Cloud computing applications enabling the
creation of smart environments such as Smart Cities need to be able to:

a) Combine services offered by multiple stakeholders

b) Scale to support a large number of users in a reliable and
decentralized manner.

They need to be able operate in both wired and wireless network

environments and deal with constraints such as access devices or data
sources with limited power and unreliable connectivity.

The Cloud application platforms need to be enhanced to support:

a) The rapid creation of applications by providing domain specific

programming tools and environments.
b) Seamless execution of applications harnessing capabilities of
multiple dynamic and heterogeneous resources to meet quality
of service requirements of diverse users.

CHAPTER 4

HARDWARE COMPONENTS

HARDWARE COMPONENTS ARE

 Power Supply
 Node MCU ESP8266
 Switch
  LCD

4.1 POWER SUPPLY

In this project we have power supplies with +5V & -5V option
normally +5V is enough for total circuit. Another (-5V) supply is used in
case of OP amp circuit.

Transformer primary side has 230/50HZ AC voltage where as at

the secondary winding the voltage is step downed to 12/50 Hz and this
voltage is rectified using two full wave rectifiers the rectified output is
given to a filter circuit to fitter the unwanted ac in the signal. After that
the output is again applied to a regulator LM7805 (toprovide+5v)
regulator. WhereasLM7905 is for providing –5Vregulation. Z (+12V
circuit is used for stepper motors, Fanand Relay by using LM7812
regulator same process like above supplies).

Fig 4.1 RPS

TRANSFORMER

Transformers are used to convert electricity from one voltage to

another with minimal loss of power. They only work with AC
(alternating current) because they require a changing magnetic field to be
created in their core. Transformers can increase voltage (step-up) as well
as reduce voltage (step-down).
 Alternating current flowing in the primary (input) coil creates a
continually changing magnetic field in their on core. This field also
passes through the secondary (output) coil and the changing strength of
the magnetic field induces an alternating voltage in the secondary coil. If
the secondary coils connected to a load the induced voltage will make an
induced current flow. The correct term for the induced voltage is
‘induced electromotive force’ which is usually abbreviated to induced
e.m.f.

RECTIFIERS
The purpose of a rectifier is to convert an AC wave form into a
DC wave form (OR) Rectifier converts AC current or voltages into DC
current or voltage. There are two different rectification circuits, known as
'half-wave' and 'full-wave' rectifiers. Both use components called diodes
to convert AC into DC.

FILTERS
A filter circuit is a device which removes the ac component of
rectifier output but allows the dc component to the load. The most
commonly used filter circuits are capacitor filter, choke input filter and
capacitor input filter or pi-filter. We used capacitor filter here.

The capacitor filter circuit is extremely popular because of its low

cost, small size, little weight and good characteristics. For small load
currents this type of filter is preferred. It is commonly used in transistor
radio battery eliminators.

Rectifier O/PCRL

Fig 4.2 Capacitor

4.2 NODE MCU

Node MCU is an open source development board and firmware

based in the widely used ESP8266 12-E Wi-Fi module. It allows you to
program the ESP8266 Wi-Fi module with the simple and powerful LUA
programming language or Arduino IDE.
With just a few lines of code you can establish a Wi-Fi connection
and define input/output pins according to your needs exactly like arduino,
turning your ESP8266 into a web server and a lot more. It is the Wi-Fi
equivalent of ether net module. Now you have internet of things (IOT) real
tool.

With its USB-TTL, the node MCU Dev board supports directly flashing
from USB port. It combines features of WIFI access point and station +
microcontroller. These features make the Node MCU extremely
powerful tool for Wi-Fi networking. It can be used as access point and/or
station, host a web server or connect to internet to fetch or upload data.
Node MCU Pin out is having labels D0 to D8 and RX-TX but when
programming it using Arduino IDE we observe that its labels are not
matching with IO connections. Let’s see actual connections of Node-MCU
with ESP8266 i.e. ESP-12.

Node MCU is an open source IoT platform. It includes firmware which

runs on the ESP8266 Wi-Fi SOC from Espress if Systems, and hardware
which is based on the ESP-12 module. The term “Node MCU” by default
refers to the firmware rather than the dev kits.

We get two on board LEDs one is connected to GPIO2 and another is to

GPIO16.

FEATURES OF NODE MCU

 Finally, programmable Wi-Fi module.

  Arduino-like (software defined) hardware IO.

 Can be programmed with the simple and powerful Lua

programming language or Arduino IDE.

 USB-TTL included, plug & play.

 10 GPIOs D0-D10, PWM functionality, IIC and

SPI communication, 1-Wire and ADC A0 etc. all in one
board.

 Wi-Fi networking (can be used as access point and/or

station, host a web server), connect to internet to fetch or
upload data.

 Event-driven API for network applications.

 PCB antenna.

ADVANTAGES OF NODE MCU

 Low cost

 Integrated support for WIFI network

 Reduced size of the board

 Low energy consumption

PIN DIAGRAM OF NODE MCU

 Fig 4.3 Node MCU

PIN DESCRIPTION OF NODE MCU

POWER PINS
There are four power pins viz. one VIN pin & three 3.3V pins. The
VIN pin can be used to directly supply the ESP8266 and its peripherals, if
you have a regulated 5V voltage source. The 3.3V pins are the output of an
on- board voltage regulator. These pins can be used to supply power to
external components.

GND
It is a ground pin of ESP8266 Node MCU development board.

12C
These are used to hook up all sorts of I2C sensors and peripherals in
your project. Both I2C Master and I2C Slave are supported. I2C interface
functionality can be realized programmatically, and the clock frequency is
100 kHz at a maximum. It should be noted that I2C clock frequency should
be higher than the slowest clock frequency of the slave device.
 GPIO PINS
ESP8266 Node MCU has 17 GPIO pins which can be assigned to
various functions such as I2C, I2S, UART, PWM, IR Remote Control,
LED Light and Button programmatically. Each digital enabled GPIO can
be configured to internal pull-up or pull-down or set to high impedance.
When configured as an input, it can also be set to edge-trigger or level-
trigger to generate CPU interruptions.

ADC PINS
The Node MCU is embedded with a 10-bit precision SAR ADC.
The two functions can be implemented using ADC viz. Testing power
supply voltage of VDD3P3 pin and testing input voltage of TOUT pin.
However, they cannot be implemented at the same time.

UART PINS
ESP8266 Node MCU has 2 UART interfaces, i.e. UART0 and
UART1, which provide asynchronous communication (RS232 and RS485),
and can communicate at up to 4.5 Mbps. UART0 (TXD0, RXD0, RST0 &
CTS0 pins) can be used for communication. It supports fluid control.
However, UART1 (TXD1 pin) features only data transmit signal so, it is
usually used for printing log.

SPI PINS
ESP8266 features two SPIs (SPI and HSPI) in slave and master
modes.
These SPIs also support the following general-purpose SPI features:

 Timing modes of the SPI format transfer

 Up to 80 MHz and the divided clocks of 80 MHz

 Up to 64-Byte FIFO

SDIO PINS

ESP8266 features Secure Digital Input / Output Interface (SDIO)

 which is used to directly interface SD cards. 4-bit 25 MHz SDIO v1.1 and
4- bit 50 MHz SDIO v2.0 are supported.

PWM PINS

The board has 4 channels of Pulse Width Modulation (PWM). The

PWM output can be implemented programmatically and used for driving
digital motors and LEDs. PWM frequency range is adjustable from 1000
μs to 10000 μs, i.e., between 100 Hz and 1 kHz.

CONTROL PINS

These are used to control ESP8266. These pins include Chip

Enable pin (EN), Reset pin (RST) and WAKE pin.

EN pin – The ESP8266 chip is enabled when EN pin is pulled HIGH.

When pulled LOW the chip works at minimum power.RST pin – RST
pin is used to reset the ESP8266 chip. WAKE pin – Wake pin is used to
wake the chip from deep-sleep.

3.1.1 ESP8266 WIFI MODULE

INTRODUCTION TO ESP8266

ESP8266 chip having TensilicaXtensa® 32-bit LX106 RISC

microprocessor which operates at 80 to 160 MHz adjustable clock
frequency and supports RTOS.

There’s also 128 KB RAM and 4MB of Flash memory (for program
and data storage) just enough to cope with the large strings that make up
web pages, JSON/XML data, and everything we throw at IoT devices
nowadays.

The ESP8266 Integrates 802.11b/g/n HT40 Wi-Fi transceiver, so it

can not only connect to a Wi-Fi network and interact with the Internet, but
it can also set up a network of its own, allowing other devices to connect
directly to it. This makes the ESP8266 Node MCU even more versatile.

ESP8266 PIN DIAGRAM

 Fig 4.4 ESP8266
ESP8266 FEATURES

 Low cost, compact and powerful Wi-Fi Module.

 Power Supply: +3.3V only.
 Current Consumption: 100mA.
 I/O Voltage: 3.6V (max).
 I/O source current: 12mA (max).
 Built-in low power 32-bit MCU @ 80MHz.
 512kB Flash Memory.
 Can be used as Station or Access Point or both combined.
 Supports Deep sleep (<10uA).
 Supports serial communication hence compatible with
many development plat form like Arduino.
 Can be programmed using Arduino IDE or AT-
commands or Lua Script.

ESP8266 PIN CONFIGURATION

 Pin Pin Alternate Normally used for Alternate purpose
Numb Name Name
er

1 Ground - Connected to -
the ground of
the circuit

2 TX GPIO – 1 Connected to Rx Can act as a General

pin of purpose
programmer/uC to Input/output
upload program
pin when not used
as TX

3 GPIO-2 - General purpose -

Input/output pin

4 CH_EN - Chip Enable – -

Active high

5 GPIO - Flash General purpose Takes module into

0 Input/output pin serial programming
when held
low during start up

6 Reset - Resets the module -

7 RX GPIO - 3 General purpose Can act as a General

Input/output pin purpose
Input/output
pin when not used
as RX

8 Vcc - Connect to +3.3V

only

Table 3.1 ESP8266 Pin Description

BEST PINS TO USE

One important thing to notice about ESP8266 is that the GPIO

number doesn’t match the label on the board silkscreen. For example, D0
corresponds to GPIO16 and D1 corresponds to GPIO5.
 The following table shows the correspondence between the labels
on the silkscreen and the GPIO number as well as what pins are the best to
use in your projects, and which ones you need to be cautious.

The pins highlighted in green are OK to use. The ones highlighted

in yellow are OK to use, but you need to pay attention because they may
have unexpected behavior mainly at boot. The pins highlighted in red are
not recommended to use as inputs or outputs.

Label GPIO Input Output Notes

no PWM
no High at boot used to
GPIO16 or I2C
interrupt wake up from deep sleep
D0 support

notesD1 GPIO5 OK OK often used as SCL (I2C)

D2 OK OK often used as SDA (I2C)

GPIO4

connected to FLASH
pulled
D3 GPIO0 OK button, boot fails if
up
pulled LOW

pulled High at boot connected

D4 GPIO2 OK
up to on-board LED, boot
fails if pulled LOW

D5 GPIO14 OK OK SPI(SCLK)
 SPI(MISO)

D6 GPIO12 OK OK

D7 GPIO13 OK OK SPI(MOSI)

SPI(CS)
pulled to
D8 GPIO15 OK Boot fails if pulled
GND
HIGH

RX GPIO3 OK RX PIN High at boot

Table 3.2 Best Pins of ESP8266

ADVANTAGES OF ESP8266

1. 1.Inexpensive

2. Do different.

3. More compatible development environments.

4. Flexible design and enhanced function.

5. Abundant learning resources

6. Convenient application development

7. Incentive program

8. Active maker community.

4.3 SWITCHES

Switches are the buttons given as input to the microcontroller. It is

having two pins . One of the pins is connected to the data pin in the
microcontroller. The another pin of the switch is connected to the ground
of the node MCU microontroller. It is just like an input.

Fig 4.5 Switch

4.4 Wi-Fi MODULE

ESP-01 Wi-Fi module is developed by Ai-thinker Team. Core processor

ESP8266 in smaller sizes of the module encapsulates Tensilica L106
integrates industry-leading ultra-low power 32-bit MCU micro, with the 16-
bit short mode, Clock speed support 80 MHz, 160 MHz, supports the
RTOS, integrated Wi-Fi MAC/BB/RF/PA/LNA, on-board antenna.

The module supports standard IEEE802.11 b/g/n agreement, complete

TCP/IP protocol stack. Users can use the add modules to an existing device
networking, or building a separate network controller.

ESP8266 is high integration wireless SOCs, designed for space and

power constrained mobile platform designer. It provides unsurpassed ability
to embed Wi-Fi capabilities within other systems, or to function as a
standalone application, with the lowest cost, and minimal space
requirement.
 Fig 4.6 Wi -Fi Module

FEATURES

 802.11 b/g/n
 Integrated low power 32-bit MCU
 Integrated 10-bit ADC
 Integrated TCP/IP protocol stack
 Integrated TR switch, balun, LNA, power amplifier and matching
network
 Integrated PLL, regulators, and power management units
 Supports antenna diversity
 Wi-Fi 2.4 GHz, support WPA/WPA2
 Support STA/AP/STA+AP operation modes
 Support Smart Link Function for both Android and iOS devices
 Support Smart Link Function for both Android and iOS devices
 SDIO 2.0, (H) SPI, UART, I2C, I2S, IRDA, PWM, GPIO
 STBC, 1x1 MIMO, 2x1 MIMO
 A-MPDU & A-MSDU aggregation and 0.4s guard interval
 Deep sleep power < 5Ua
 Wake up and transmit packets in < 2ms
 Standby power consumption of < 1.0mW (DTIM3)
  +20dBm output power in 802.11b mode.
 Operating temperature range -40C ~ 125C

4.5 BUZZER

Buzzer is usually like an alarm. Whenever we press the switch

button it gives an output like an alarm sound and then activates the
machine. Buzzer contains of two pins. The negative end is connected to the
data pin of microcontroller. The positive end is connected to the Vcc in the
microcontroller.

Fig 4.7 Buzzer

 CHAPTER 5

SOFTWARE COMPONENTS

5.1 ARDUINO SOFTWARE

5.1.1 PROGRAMMING

Step 1: Installing the Firmware

In Node MCU Boards the first thing you need is to install the Firmware
to the board the following method works for all Node MCU Boards

1. Open the Node MCU flasher master folder than open the
win32/win64 folder as your computer. Now open the folder Release than
double click ESP8266Flasher.

2. Select the COM Port.

3. Go to configure tab.

4. Click on the small gear and open up the firmware which you have
downloaded.

5. Go to the advanced tab and select the desired Baud rate.

 6. Go to the Operation tab and click on Flash Button. Add Tip Ask

Question Comment Download

Step 2: Preparing the Arduino IDE

After installing the firmware you are ready to do the programming with
the ESP8266

1. Install the Arduino IDE

2. Open the Arduino IDE from the desktop icon

3. Click on File tab and than open preferences

4. In the additional Boards Manager URLs add the following link

(http://arduino.esp8266.com/stable/package_esp8266com_index.json) and click OK

5. Go to Tools>Borads>Boards Manager

6. In the search field type esp8266 click the esp8266 by ESP8266

Community option and click Install

Step 3: Code...

Now we can do whatever you want with your Node MCU board
Following is an example for led blinking with Node MCU board via web
server
 In arduino IDE go to tools>Boards>select NODEMCU 1.0
(ESP - 12E Module)
 Again go to tools and select port.
 Change the Wi-Fi name and password from the following code.
 Now click on Upload button to upload the following code.
 Connect the led's positive leg on D9 pin of board and negative to
the ground of the code.
 Power up the board and open the serial monitor from arduino IDE
 After connecting to the Wi-Fi it will show you the IP address.
 Type that IP address on the web browser (Edge, Chrome,
Firefox etc.,)
 A webpage will open you can change the status of LED by
turning it ON or OFF.

5.1.2 COPY, PASTE AND UPLOAD THE TUTORIAL

SKETCH
The sketch is one that comes as an example from ESP8266.COM.
Serial Communication between Node MCU and Arduino

5.1.3 PROJECTS AND APPLICATIONS

Node MCU V3 is mainly used in the Wi-Fi Applications which
most of the other embedded modules fail to process unless incorporated
with some external Wi-Fi protocol. Following are some major applications
used for Node MCU V3.
  Internet Smoked Alarm
 VR Tracker
 Octopod
 Serial Port Monitor
 ESP Lamp
 Incubator Controller
 IoT home automation
 Security Alarms

Application Example:

Node MCU ESP-12E Arduino IDE Digital Input Tutorial

5.1.4 CONNECT THE CIRCUIT

You may wish to power your Node MCU another way. You can
read about it HERE.
5.1.5 COPY, PASTE AND UPLOAD THE CODE
The code is real simple works as follows:

The input is read from switch pin. If switch is closed, it will read a low.

The LED output pin is set to the opposite of the switch pin. If the switch
is closed, the output pin will be set to a high. A high will turn on the LED.
5.2PROTEUS

5.2.1 INTRODUCTION:

Generally, we are listening the words PCB’s, PCB layout, PCB

designing, etc. But what is PCB? Why we are using this PCB? We want to
know about all these things as an electronic engineer. PCB means Printed
Circuit Board. This is a circuit board with printed copper layout
connections. These PCBs are two types. One is dotted PCB and another
one is layout PCB. The two examples are shown in below.

Fig 4.1 Dotted PCB and Layout PCB

What is the main difference between the dotted PCB and layout PCB?

In dotted PCB board only, dots are available. According to our

requirement we can place or insert the components in those holes and
attach the components with wires and soldering lid. In this dotted PCB we
can make the circuit as out wish but it is very hard to design. There are so
many difficulties are there. Those are connecting the proper pins, avoiding
shot connections and etc. Coming to the layout PCB this is simple to
design. First, we select the our circuit and by using different PCB
designing software’s, design the layout of the circuit and by itching process
preparing the copper layout of our circuit and solder the components in the
correct places. It is simple to design, take less time to design, no shortages,
looking nice and perfect.

Up to now we have discussed about types of PCB’s and difference

between the types. Now we can discuss about PCB designing software.
There are so many PCB designing software’s available. Some are
Express PCB, eagle PCB, PCB Elegance, free PCB, open circuit
design, zenith PCB and Proteus etc. Apart from remaining Proteus is
different. Proteus is design suit and PCB layout designing software. In
Proteus we can design any circuit and simulate the circuit and make PCB
layout for that circuit.

5.2.2 Introduction to Proteus:

Proteus professional is a software combination of ISIS schematic

capture program and ARES PCB layout program. This is a powerful and
integrated development environment. Tools in this suit are very easy to use
and these tools are very useful in education and professional PCB
designing.

As professional PCB designing software with integrated space

based auto router, it the curser at the component pin end then draw the
connections with that pen symbol. Connect all the components according to
circuit then that designed circuit is show in below image.
 If any modifications want to do to the component place the mouse
point and click on right button then option window will open. That is
shown in below figure.

After completion of designing save with some mane and debug it.
This is virtual simulation means without making circuit we can see the
result in virtually through this software and we can design the PCB layout
to our required circuit with this software.
5.3MIT APP INVENTER

This step-by-step picture tutorial will guide you through making a

talking app.

To get started, go to App Inventor on the web.

Go directly to ai2.appinventor.mit.edu, or click the orange "Create"

button from the App Inventor website.

Log in to App Inventor with a Gmail (or google) user name and
password.
Use an existing gmail account or school-based google account to log in
to ai2.appinventor.mit.edu

To set up a brand new Gmail account, go to accounts.google.com/Sign up

Click "Continue" to dismiss the splash screen.
Start a new project.

Name the project “TALKTOME” (no spaces!)

Type in the project name (underscores are allowed, spaces are not) and
click OK.

You are now in the Designer, where you lay out the "user interface" of your
app.
The Design Window or simply "Designer" is where you lay out
the look and feel of your app, and specify what functionalities it should
have. You choose things for the user interface things like Buttons, Images,
and Text boxes, and functionalities like Text-to-Speech, Sensors, and GPS.
Add a Button

Our project needs a button. Click and hold on the word "Button" in
the palette. Drag your mouse over to the Viewer. Drop the button and a
new button will appear on the Viewer.

Connect App Inventor to your phone for live testing

One of the neatest things about App Inventor is that you can see and
test your app while you're building it, on a connected device. If you have an
Android phone or tablet, follow the steps below. If you do not have a
device, then follow the instructions for setting up the on-screen emulator
(opens a new page) and then come back to this tutorial once you've gotten
the emulator connected to App Inventor.
Get the MIT AI2 Companion from the Play Store and install it on your
phone or tablet.

The preferred method for getting the AI2 Companion App is to

download the app from the Play Store by searching for "MIT AI2
Companion".
To download the AI2 Companion App to your device directly (SKIP THIS
STEP IF YOU already got the app from Play Store)

If for some reason you cannot connect to the Google Play store, you can
download the AI2 Companion as described here.
 First, you will need to go into your phone's settings (#1), choose "Security",
then scroll down to allow "Unknown Sources", which allows apps that are
not from the Play Store to be installed on the phone.

Second, do one of the following:

A) Scan the QR code above(#2)or

B) Click the "Need help finding..." link and you'll be taken to the download
page. From there you can download the MITAI2Companion.apk file to
your computer and then move it over to your device to install it.

Start the AI Companion on your device

On your phone or tablet, click the icon for the MIT AI Companion to start
 the app. NOTE: Your phone and computer must both be on the same
wireless network. Make sure your phones Wi-Fi is on and that you are
connected to the local wireless network. If you cannot connect over Wi-Fi,
go to the Setup Instructions on the App Inventor Website to find out how to
connect with a USB cable.

Get the Connection Code from App Inventor and scan or type it into
Companion app

On the Connect menu, choose "AI Companion". You can connect by:

1. Scanning the QR code by clicking "Scan QR code" (#1). Or

2. Typing the code into the text window and click "Connect with code" (#2).
See your app on the connected device

You will know that your connection is successful when you see your app on
the connected device. So far, our app only has a button, so that is what you
will see. As you add more to the project, you will see your app change on
your phone.
 CHAPTER 6

RESULT AND DISCUSSION

PLACE THE KIT IMAGE AND WRITE THE RESULT

 CHAPTER 7

ADVANTAGES AND APPLICATIONS

7.1 ADVANTAGES

7.2 APPLICATIONS
 CHAPTER 8

CONCLUSION AND FUTURE SCOPE

Sign language is one of the useful tools to ease the communication between
the deaf and mute communities and normal society. Though sign language
can be implemented to communicate, the target person must have an idea of
the sign language which is not always possible. Hence our project lowers
such barriers. The glove is capable of translating their sign language
gestures into speech through android phone. Smart glove focuses on the
translation of gestures of the alphabet. Compared with other approaches,
smart glove uses Principal Component Analysis to classify the real time
input data for feature extraction. Disabled use these gloves to convert sign
performed by them into speech and text. This paper is a useful tool for
speech impaired and partially paralyzed patients which fills the
communication gap between patients, doctors, and relatives.
 From the convenience of simple accelerometers, a user can interact
with others in a more comfortable and easier manner.
 This makes it possible for the user to not only interact with their
community but with others also and they can also live a normal life.
 It is portable to use and is cost effective.
 This project will give dumb a voice to speak for their needs and to
express their gestures.
 Hence this project is an attempt to make it easy to understand the
actions of dumb people by getting the output in the form of text and
voice.
 The text is also forwarded as SMS via Wi-Fi or modem for better
convenience and for security purposes.
 The product will have a cheap and simplistic design making it easy
for users to interact easily.
 The system is capable of recognizing signs more quickly.
 Furthermore, real time recognition ratio of nearly 99% can be easily
achieved.

Thus the gesture recognition system designed using sensor fusion and
gesture recognition techniques in this venture has a lot of future aspects that
has to be taken into consideration in order to support the help for this
differently abled people more. This smart glove readily banishes the
required interpretation between a speech impaired and a normal person.
Future implementation can be made by enhancing the quality of the mobile
application which can be used to produce a lot of technical quality research
as in what is to be implemented to assist them more. We developed for
Android OS, In future we can also develop an application so that it can
work on any platform. We can also reduce the number of connecting wires
to make it simple to wear. It can be implemented in various fields like in
airport and railway stations to assist the speech impaired. One more
technical issue can be handled is to assist multi gesture at a higher speed in
which at times this device accuracy fails to reach the peak. Keeping in mind
the end goal to enhance and encourage the more signal acknowledgment,
movement handling unit can be introduced.
 CHAPTER 9
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