Search for car in highway using SIFT algorithm

Car Detection for Autonomous driving using YOLO algorithm.

all things you need to learn about openCV

Machine Learning Projects

C++ programming, using OpenCV, to process and analyze a video sequence of road traffic.

detecting license plates and cars in a video using YOLO NAS and YOLOv5

🎖️1st prize from TotalEnergies for Technical Excellence (the best score) during a Hackathon. It's an AI solution for detecting a car in an image and estimating its CO2 emission.

This project aims to detect vehicles and read license plates from video footage. It leverages YOLOv8 for object detection and the SORT algorithm for tracking vehicles across frames. The detected license plates are then processed using EasyOCR to extract the text, with a focus on Indian license plate formats.

Linux snap app, which can be used to count the amonth of traffic on a street, aka counts 🚗 passing.

Car and pedestrian tracking software made in Python and OpenCV

LiDAR를 활용한 객체 탐지 프로젝트

AI-Driven car announcement helper

A simple night time vehicle tracking algorithm via headlight

using YOLO algorithm for detecting all the cars in an image

Detect Car and Human with Python

Draw bounding boxes for detect vehicles in a video using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM).

This application is designed using Flutter and Dart. This application will ask the user i.e., traffic police to choose any one out of these given options. It will represent information regarding vehicles which either have crossed the zebra crossing or not, at the traffic signal.

Car detection with YOLO