Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.

A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星 : )

License Plate Detection and Recognition in Unconstrained Scenarios

Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.

World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).

Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.

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.

yolov7 车牌检测 车牌识别 中文车牌识别 检测 支持双层车牌 支持12种中文车牌

Detects license plate of car and recognizes its characters

Hobby project to track vehicles that are over speeding and violating red light

Lightweight & fast OCR models for license plate text recognition.

The project developed using TensorFlow to recognize the License Plate from a car and to detect the charcters from it.

Automatic Number Plate Detection YOLOv8

A python program that uses the concept of OCR using machine learning to identify the characters on a Nigerian license plate

A computer based NVR (Network Video Recorder) with AI capabilities

Fast Automatic License Plate Recognition (ALPR) framework.

Open Source and Free License Plate Recognition Software

ALPR model in unconstrained scenarios for Chinese license plates

The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The model for the classifier is trained using lots of positive and negative images to make an XML file. This is followe…

The ultimate customizable dash-cam platform, with ALPR and object recognition capabilities