Smart Traffic Management System

Waiting in a traffic jam has always been a bad experience for everyone. In this project, you will develop a smart traffic management system. The traffic will be controlled based on the number of vehicles waiting. The lane with a greater number of vehicles will be allowed to move first.

Looking to build project on Smart Traffic Lighting System?:

Skyfi Labs gives you the easiest way to learn and build this project.

1. Smart Traffic Lighting System Kit will be shipped to you (anywhere in the world!)
2. Use high quality videos to understand concepts and build the project
3. Get 1 to 1 expert assistance from Skyfi Labs engineers while doing the project
4. Earn a smart certificate on finishing the project

You can start for free and pay only if you like it!

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You will use Raspberry Pi as the brain of the system. LEDs to represent traffic lights. You will need a surveillance camera to record video. Using video processing algorithms, you will find the total number of cars waiting.

For performing video processing, you will use the OpenCV library.

Project Description:

Raspberry Pi 3: It is a third-generation, single-board computer. It contains a 64-bit quad-core processor. The clock speed is 1.5 GHz. An external micro SD card provides memory to Raspberry Pi. You can give instructions using the Raspbian OS.

Raspbian OS: It is similar to Windows or Ubuntu OS. You can code the Raspberry Pi using Python in the Raspbian OS. It is user-friendly and allows multi-tasking.

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LED: Light Emitting Diode emits light when connected in forward bias. You will use LEDs to represent traffic lights.

Surveillance camera: It is a camera used for continuous surveillance in buildings. You can find surveillance cameras in almost all the major buildings. You will use it to capture the video of the incoming vehicles.

OpenCV: It is a library that allows image and video processing. You will use it to capture the front side image of the vehicle. Then that image can be altered as you desire.

Project implementation:

1. Place four cameras at the four sides of a junction.
2. Interface different coloured LEDs and the cameras with the Raspberry Pi.
3. Open Raspbian OS on your PC/laptop.
4. Begin with coding for the system. First, the cameras have to detect the number of cars in each lane.
5. For this, use the OpenCV library. Begin with converting the image into the required format.
6. Next, you will find the ROI (Region of Interest).
7. Change the perspective of the video as per need.
8. Detect the edges in the video by using various algorithms.
9. Draw contours to calculate the features of the video.
10. Finally, draw a red rectangle around all the vehicles. Calculate the number of red rectangles.
11. Now based on the number of vehicles, give proper traffic signals.
12. Optimize the system for better results.

Programming Language: Python

• Raspberry Pi
• Surveillance Camera
• LED
• Python

• Smart Systems

Smart Traffic Management System