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SMART

TECHNOLOGY
AMBULANCE

Group Members:-

Vaishnavi Rajpure - 20220901111


Gauri Jadhav - 20220901115
Anuja Chavan – 20220901082
Aarya Ratnaparkhi – 20220901097
Darshan Oswal - 20220901124
INTRODUCTION
 Smart Ambulances are a revolutionary concept that is transforming the way
Emergency Medical Services[EMS] are delivered. These ambulances are
equipped with cutting-edge technology that allows for faster and more
accurate diagnosis and treatment of patients. The purpose of Smart
Ambulances is to provide better care to patients in emergency situations
and to improve overall health outcomes.
 The primary concern today is traffic, which is causing a alot of issues for
everyday living. In comparison to all other cars, EVs must be given priority;
nonetheless, these vehicles sometimes arrive late owing to unforeseen
circumstances or selfish drivers. A delayed emergency vehicle response
might endanger lives. A technology that can identify the EV before it
reaches the intersection and clear the traffic in front of it must exist, it
would seem.
 So we tried to create the density-based traffic control system using IR
sensors. This innovative system utilizes infrared sensors to detect the
density of vehicles on the road and adjust traffic signals accordingly. By
reducing wait times and minimizing congestion, this system has the
potential to revolutionize the way we think about traffic control.
Resources

Following are the resources necessary for the operation of the device .
1] IR sensors
2] Pannel
3] circuit diagram
4] sensors

IR SENSORS CIRCUIT DIAGRAM


IR Sensor Technology
The density-based traffic control system uses IR sensors to detect the
presence of vehicles at intersections.
IR sensors emit infrared radiation and then measure the amount of
radiation reflected back to the sensor. When a vehicle is present, the
amount of reflected radiation changes, allowing the sensor to detect the
vehicle's presence.

Traffic Control System Architecture


The traffic control system architecture is designed to use IR sensors to detect the
density of traffic in a given area.
Sensor Network
The IR sensors are arranged in a network to cover the entire area of interest. The
sensors communicate with each other to detect traffic density and relay this
information to the central control system.
Central Control System
The central control system receives traffic density information from the sensor
network and uses this information to dynamically adjust traffic signals to optimize
traffic flow.
PROBLEMS
1) Lack of Staff and Resource Constraints
One of the primary reasons for ambulance delays in India is the chronic issue of understaffing and resource constraints.
Many regions across the country struggle with a shortage of trained medical personnel, paramedics and drivers. This shortage
often leads to delays in dispatching ambulances to emergency situations. Additionally, inadequate funding and budget
allocations for ambulance services hinder the availability of essential
resources, such as vehicles and medical equipment.
2) Poor Road Infrastructure
In many parts of India, especially rural and remote areas, the lack of proper infrastructure poses a significant challenge for
timely ambulance services. Poorly maintained roads, inadequate transportation networks and absence of designated
ambulance lanes contribute to delays in reaching patients.
3) Traffic Congestion and Urban Challenges
India's increasing urban population has led to increased traffic congestion
in cities, making it difficult for ambulances to navigate through crowded streets. Traffic jams and roadblocks due to accidents
or construction work can cause significant delays in reaching emergency scenes. Moreover, the lack of awareness among the
public about giving way to emergency vehicles exacerbates the problem.
4) Communication Gaps and Technology Shortcomings
Efficient communication is paramount in ensuring timely ambulance services. However, communication gaps between
emergency helpline centers, ambulance drivers and medical facilities hinder the coordination
needed for quick response. Outdated communication systems, lack of real
time tracking and inadequate use of technology contribute to delays inambulance dispatch and patient transfer.impede
ambulance movement.
Proposed Solutions
Smart Ambulances are equipped with advanced diagnostic tools
that can provide critical information to emergency medical
personnel before arriving at the hospital. These diagnostics can help
save lives by allowing medical professionals to provide more
targeted and effective treatments.
• Electrocardiogram (ECG) - Smart Ambulances can perform ECGs
on patients experiencing chest pain or other heart-related
symptoms. This allows medical professionals to quickly diagnose
and treat conditions such as heart attacks or arrhythmias.
• Blood Glucose Monitoring - Diabetic patients can benefit from
Smart Ambulances' ability to monitor blood glucose levels. This
can help medical professionals determine the appropriate
treatment for patients experiencing high or low blood sugar
levels.
• Ultrasound - Smart Ambulances can perform ultrasounds on
patients experiencing abdominal pain or other symptoms. This
can help diagnose conditions such as gallstones or appendicitis,
allowing medical professionals to provide appropriate
treatment more quickly.
TECHNOLOGY
TARGET MARKET / USER

1. Emergency medical services, hospitals, and healthcare providers are the primary users
of smart ambulances.
2. Additionally, urban areas with high population density and heavy traffic often benefit
the most from the efficiency and advanced capabilities of smart ambulances.
3. The market for smart ambulances has been growing due to technological
advancements. These ambulances are equipped with advanced medical devices,
connectivity, and data analysis tools to enhance emergency care.
4. The market potential lies in improving response times, patient monitoring, and overall
efficiency in delivering critical care.
5. It's an evolving sector with potential for significant impact on emergency medical
services.
PRODUCT
THANK YOU Ambulance

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