Car Plate Speed With Open-ai

Car Plate & Speed Detection is a computer vision and AI project designed to detect vehicle license plates and estimate vehicle speed from video input. The system combines object detection with computer vision techniques to identify cars, recognize their license plates, and calculate the speed of moving vehicles.

The project workflow begins by processing video frames captured from a traffic camera or recorded footage. The system first detects vehicles using a pre-trained object detection model. Once a vehicle is detected, license plate regions are extracted and processed for recognition using image processing techniques.

In addition to detection, the project calculates vehicle speed by tracking the movement of detected vehicles across consecutive video frames and estimating their displacement over time. This enables the system to provide real‑time speed measurements along with license plate identification.

Technologies used in this project include Python, computer vision libraries, object detection models, and image processing algorithms. The project demonstrates how AI and vision techniques can be applied to traffic analysis, surveillance systems, and smart transportation applications.