Popular GitHub Repositories for Plates

license plate detection and recognition

Creepy stalking tool to process security camera motion triggered images and sort seen objects in different categories, detect license plates and faces. Has PWA ready web front end. Meant to make property monitoring faster without need to watch video recordings.

ALPR model in unconstrained scenarios for Chinese license plates

Automatic License Plate Recognition System for Vietnamese Plates

Code to Blur Human Faces and Vehicle License Plates in Video and Images using a SoTA Object Detection model YOLOv8

License plate recognition . Model training and conversion to tflite

Offline Android application for detecting license plates in cars and recognizing their content in real time with Tensorflow model

License Plate Detection library powered by YOLO v3 and OpenCV with Command Line Interface

Training Number Plate detector using SSD mobilenet v2, Tensorflow Object Detection and face recognition.

Steel Plate Defect Prediction | Prediction of the probabilities of various defects on steel plates

? Licence plate detection and recognition tool. A new lightweight tool is able to recognize license plates in real time on devices with significant limitations in computing power.

High-accuracy Russian ANPR system built with YOLOv8 for detection and an optimized, custom-trained PyTorch CRNN for OCR.

The License Plate Recognition (LPR) System is a computer vision project designed to detect and recognize license plates in images or video streams.

Using yolov4 object detection and image processing with OpenCV, the project enables detecting and reading licence plates and storing a log plates detected. The detection is achieved by detecing all the vehicles in the photo using a yolov4 tiny model that was converted to tflite and for each of the detected vehicles using image processing the lince plate is detected and after enhancing the contrast between the letters and the background the letters the licence plate is being processed by tesseract-ocr and we get the licence plate number.

This is a desktop application designed to recognize and detect car license plates of the Russian Federation. The application uses a pre-trained neural network model on TensorFlow Lite to perform the task of recognizing license plates, and also provides a user-friendly interface created using Qt Designer.

Training and Inference script to automatically recognise number plates of Indian vehicles

? A Streamlit application for detecting Turkish car license plates using YOLOv8.

An AI-powered license plate recognition system that detects, crops, and reads vehicle plates using YOLOv8, Real-ESRGAN, and PaddleOCR. It enhances blurred images, extracts clean text with custom logic, and delivers accurate results for real-world traffic and surveillance applications.