vehicle-detection-and-counting-system

This repository contains Python scripts for real-time vehicle detection, tracking, and counting using the YOLO object detection model (YOLOv8). It is designed for vehicle counting on multi-lane highways and integrates tools like Supervision for annotation, object tracking, and detection smoothing.

This is my first repository and it is based on object detection and object tracking of vehicles. It will first detect and count the vehicles.

Real-time license plate recognition system with RTSP camera support, searchable logs, watchlists, and privacy-first self-hosted deployment.

This project performs real-time vehicle detection, tracking, and counting using YOLO models and ByteTrack via a self modified and improved Supervision library. It supports both local video files and live video streams.

Detect and count vehicles in video without using object detection models