vehicle-identification

开源移动端车型识别 Mobile Plateform Vehicle Identification Model

PLPR utilizes YOLOv5 and custom models for high-accuracy Persian license plate recognition, featuring real-time processing and an intuitive interface in an open-source framework.

A multi-camera vehicle detection, tracking and re-identification system

Decode and Validate Vehicle VINs - Javascript Client Wrapper for the nhtsa.dot.gov VPIC Vehicles API.

This repository demonstrates YOLOv8-based license plate recognition with GCP Vision AI integration, enabling versatile real-world applications like vehicle identification, traffic monitoring, and geospatial analysis while capturing vital media metadata for enhanced insights.

LogiTraffic is an IoT based Deep Learning Powered Traffic Management and Theft Detection Solution. It’s an online website platform using which user can keep check on certain real-time parameters associated with the vehicle which includes fuel-level, GPS location, Brake System Temperature, Speed, Traffic Forecasting using Vehicle Detection and obtaining vehicle count through different road nodes and predicting Traffic Congestion/Jams. In case the user suspects his/her car has been stolen by logging in using the credentials one can lock the vehicles and see driver’s real time video stream and a picture of the driver is downloaded on the system so that it can be used for further investigation and police cases. (YouTube Video Presentation by Team Aztecs: https://youtu.be/rP2OGjZJ5NY) – Presented in E-Ujjwala Hackathon 2020 by Birsa Institute of Technology, Jharkhand (Team Aztecs - Finalists)

Improved Computer Vision-based Framework for Electronic Toll Collection

Vehicle Information: Using a vehicles VIN, search the CarMD API for information on it.

Based on the improved Gaussian mixture model and the flute-based vehicle identification method which incorporates MFCC features and RASTA-PLP features.