/Car_Count_detection_System

This project is a Vehicle Counter that leverages OpenCV and YOLO for vehicle detection and tracking. It is capable of identifying and differentiating between various types of vehicles such as trucks, bicycles, cars, and buses. Each vehicle is assigned a unique tracker ID for tracking its movement across a specified region. The application also main

Primary LanguagePython

Vehicle Counter using OpenCV and YOLO

Project Description

This project is a vehicle counter that uses OpenCV and YOLO for vehicle detection. It can detect and differentiate between various types of vehicles such as trucks, bicycles, cars, and buses. Each detected vehicle is assigned a unique tracker ID. The application also counts the total number of vehicles that pass through a specified region.

Features

  • Vehicle Detection: The application can detect various types of vehicles in a video stream.
  • Vehicle Differentiation: It can differentiate between various types of vehicles such as trucks, bicycles, cars, and buses.
  • Vehicle Tracking: Each detected vehicle is assigned a unique tracker ID for tracking its movement.
  • Vehicle Counting: The application counts the total number of vehicles passing through a specified region.

![Car_Count_Detection video]