Dec 2, 2019 · In this tutorial, you will learn how to use OpenCV and Deep Learning to detect vehicles in video streams, track them, and apply speed estimation to detect the MPH/KPH of …

The home_speed_detection set of python scripts is designed to log vehicle numbers and speeds using a camera and image recognition to track vehicles. The resultant information can be used …

By combining the power of YOLOv8 and DeepSORT, in this tutorial, I will show you how to build a real-time vehicle tracking and counting system with Python and OpenCV.

Jun 21, 2024 · For vehicle detection, we use various techniques and algorithms like Background Subtraction Method, Feature Based Method, Frame Differencing and motion-based method, …

Detect the speed of a car using Python library OpenCV. It checks the speed of the car passing through a specified lane and prints it on the console window.

Vehicle Detection: Using OpenCV's object detection algorithms, we identify and localize vehicles within each frame of the video. Techniques like Haar cascades or deep learning-based.

This repository features a robust vehicle detection and speed tracking system developed using Python, OpenCV, and dlib. It accurately identifies vehicles in real-time video streams, tracks …

This project contains a Python script for tracking vehicles in a video and estimating their speed using the OpenCV and dlib libraries. This script reads a video, detects and tracks cars using …

Vehicle Detection and Speed Calculation using Python, In this project user have to upload any video to machine learning model and first it will detect the vehicle because this project is …

In this project, we will detect vehicle and classify it accordingly like two wheeler, four wheeler, bus, car, truck, etc. and further this project will count the number of vehicle passed through it. we …