Technical Specifications:: Over Speed & Unauthorized Vehicle Detection Using Ir Based Speed Sensors
Technical Specifications:: Over Speed & Unauthorized Vehicle Detection Using Ir Based Speed Sensors
Technical Specifications:: Over Speed & Unauthorized Vehicle Detection Using Ir Based Speed Sensors
Technical Specifications:
Name of the Project : Over speed & unauthorized vehicle detection using
IR based speed sensors
IR (Tx,Rx) : 3 (Pairs)
It is important to know the road traffic density real time especially in mega cities for signal
control and effective traffic management. In recent years, video monitoring and surveillance
systems have been widely used in traffic management. Traffic control is a very difficult task for
traffic control department, especially in metro cities. The Project is designed to check the density
of traffic in particular place and the information is conveyed to traffic control station.
This project is designed with Raspberry pi microcontroller. Three pairs of IR Tx-Rx are
used here to indicate the density of the traffic. The module consists of a IR emitter and TSOP
receiver pair. The high precision TSOP receiver always detects a signal of fixed frequency. Due
to this, errors due to false detection of ambient light are significantly reduced. Status will be
displayed on 16X2 LCD. As if the person come in the speed with crossing limit to the sensor
will detect speed and ask camera to capture image and captured image will be sent to the rto and
the person who has crossed the speed limit. And alert notification will be given by buzzer at the
location before person entering in that zone
This project uses regulated 5V, 500mA power supply. 7805 three terminal voltage
regulator is used for voltage regulation. Bridge type full wave rectifier is used to rectify the ac
out put of secondary of 230/12V step down transformer.
BLOCK DIAGRAM
Camera
16x2 LCD
IR Tx-Rx pair1
Raspberry pi
IR Tx-Rx pair2
Crystal
oscillator
IOT for
emailing
Reset
Future Application :
Even our automobiles may soon be outfitted with miniature eyes. Built
into a cruise control system, for instance, such a camera would suddenly
alert the driver if it noted a rapidly decelerating vehicle. The cameras
could also take the place of the rear view and side-view mirrors, thereby
eliminating dangerous blind spots and - in the event of an accident –
recording the seconds prior to a collision.
Conclusion
we design the experimentalprototype of the embedded image capturing
system with Raspberry Pi system. This system is smaller, lighter and
with lower power consumption, so it is more convenient than the PC-
based face recognition system. Because of the open source code, it is
freer to do software development on Linux. Experimental results show
that it’s an effective method of using Raspberry Pi board to actualize
embedded image capturing system.