speed-detection

This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation

This project leverages YOLO (You Only Look Once) to detect various traffic violations in real-time, aimed at improving road safety and compliance.

Detect speed of vehicles on multi-lane highways.

基于多尺度特征融合的高速公路违章行驶车辆识别与处理系统

Speed Estimate

A script to track objects and estimate their speed in videos

An AI-powered traffic enforcement system that turns standard CCTV cameras into calibrated speed detectors using Gemini 3 Flash for spatial reasoning and YOLOv8 for real-time tracking.

Real-time object detection and tracking using YOLO11 with SRT (Secure Reliable Transport) video streams. Tracks vehicles, people, and bicycles with direction detection, speed calculation, and automatic screenshot capture. Includes comprehensive time-series metrics storage with InfluxDB and Grafana visualization.

Mobile object speed detection app that utilizes Machine Learning and Computer Vision.

AI-powered speed enforcement & ANPR system. Detects and tracks vehicles using YOLO11 + ByteTrack, estimates speed from pixel displacement, extracts plates with PaddleOCR, and generates watermarked evidence, violation reports, and calculated fines.

Raspberry Pi speed camera that detects vehicles via motion tracking, estimates speed, and offloads YOLO-based false-positive filtering to a GPU machine, with a web dashboard.

Vehicle speed detection - license plate recognition - upload data to database - send message to vehicle owner

Real-time vehicle speed detection from highway footage using OpenCV, Canny edge detection, and per-lane threading

RoadSense AI: Transforming Safety with Computer Vision in Automated Speeding Detection and Traffic Reporting A real-time traffic monitoring system that uses computer vision to detect speeding vehicles, recognize number plates, detect faces, helmets, and masks — all via webcam.