HVS-3091. Traffic Signals and Ambulance Clearance using image processing and Raspberry pi.

₹18,000.00

Category ECE Tags Raspberry pi, Traffic Lights. zigbee

The aim of this project is to develop an intelligent traffic signal control system based on traffic density using image processing and a Raspberry Pi camera, along with an automatic ambulance clearance system using ZigBee wireless communication. The system continuously monitors traffic conditions at the junction and dynamically controls the traffic signals according to the detected vehicle density. In the ambulance clearance system, ZigBee wireless technology is used for communication between the ambulance unit and the traffic signal controller. When the ambulance approaches a traffic junction, the driver activates the ambulance request switch. The ambulance-side controller transmits the direction of travel through the ZigBee transmitter. The ZigBee receiver installed at the traffic signal receives this information and sends it to the PIC microcontroller. The PIC microcontroller processes the received direction and turns the corresponding traffic signal GREEN, allowing the ambulance to pass through the junction with minimum delay. After the ambulance passes, the traffic signal returns to normal operation. For traffic density detection, a Pi Camera mounted on the traffic signal continuously captures images of the road. The camera can be positioned using a servo motor to monitor the required traffic lanes. The Raspberry Pi processes the captured images using image-processing techniques to determine the approximate traffic density. Based on the detected density, the Raspberry Pi sends the required control information to the PIC microcontroller. The PIC microcontroller then controls the traffic signals by adjusting the signal timing according to the traffic density. The PIC microcontroller is programmed using Embedded C to coordinate the traffic signal operation, density-based control, and ambulance clearance.

The main objective of this project is:

To design and develop an intelligent traffic signal control system based on real-time traffic density.
To use a Pi Camera and Raspberry Pi to capture and process traffic images for vehicle density detection.
To automatically adjust traffic signal timing according to the detected traffic density.
To implement ZigBee wireless communication for ambulance-to-traffic-signal communication.
To identify the direction of the approaching ambulance and provide a green signal in that direction.
To reduce ambulance waiting time and traffic congestion by providing priority clearance.
To use a PIC microcontroller to control the traffic signals based on the received density and ambulance-priority information.

The major building blocks of this project are: