Vehicular Traffic Monitoring for Housing Societies using AI

This project focuses on Vehicle Registration Number (VRN) and speed detection of vehicles using a real-time input video. You only look once (YOLO) a real-time object detection algorithms used for accurate and precise detection. Machine Learning (Convolutional Neural Network) will extract VRN and the

Project Title

Vehicular Traffic Monitoring for Housing Societies using AI

Project Area of Specialization

Artificial Intelligence

Project Summary

This project focuses on Vehicle Registration Number (VRN) and speed detection of vehicles using a real-time input video. You only look once (YOLO) a real-time object detection algorithms used for accurate and precise detection. Machine Learning (Convolutional Neural Network) will extract VRN and the speed of the car for on-road safety purposes. The Extracted information is then saved in a database in real-time that can be used and shared for multipurpose.

Project Objectives

Real-time Vehicle Registration Number recognition and speed detection for safer traffic.

Providing an affordable monitoring system for housing societies.

Project Implementation Method

The project will be implemented using Convolutional Neural Networks in Python with TensorFlow framework for Deep Learning. Real-time data will be provided by a video surveillance camera and will be processed by the GPU.

Benefits of the Project

This Project is very beneficial for Housing societies by providing the real-time detection of vehicle registration numbers with their speed which can be used for preventing major accidents and can track the cars in societies. The data will be stored on a database in real-time which can be used in the future.   This project can also indirectly benefit the security agencies including police and local enforcement for security purposes. The massive data stored can also be shared with the government and other companies for different applications that can help societies.

Technical Details of Final Deliverable

Final deliverables include the real-time traffic monitoring system in which the video camera will be mounted on roads for feeding the system with live videos on the backend. The system with high-end GPUs then will detect the speed and vehicle registration number and store the data in the database in real-time. The stored data can be used for flagging cars that are unauthorized or violating speed limits. All live feeds with detections will be displayed on LED/Monitor screens.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Transportation

Other Industries

Security

Core Technology

Artificial Intelligence(AI)

Other Technologies

Big Data

Sustainable Development Goals

Sustainable Cities and Communities

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com