There are 67 repositories under license-plate-recognition topic.
License Plate Detection and Recognition in Unconstrained Scenarios
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.
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).
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:)。
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.
Detects license plate of car and recognizes its characters
The project developed using TensorFlow to recognize the License Plate from a car and to detect the charcters from it.
A python program that uses the concept of OCR using machine learning to identify the characters on a Nigerian license plate
Automatic Number Plate Detection YOLOv8
ALPR model in unconstrained scenarios for Chinese license plates
A computer based NVR (Network Video Recorder) with AI capabilities
Open Source and Free License Plate Recognition Software
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 followed by tracking down the vehicles and estimating their speeds with the help of their respective locations, ppm (pixels per meter) and fps (frames per second). Now, the cropped images of the identified trucks are sent for License Plate detection. The CCA (Connected Component Analysis) assists in Number Plate detection and Characters Segmentation. The SVC model is trained using characters images (20X20) and to increase the accuracy, 4 cross fold validation (Machine Learning) is also done. This model aids in recognizing the segmented characters. After recognition, the calculated speed of the trucks is fed into an excel sheet along with their license plate numbers. These trucks are also assigned some IDs to generate a systematized database.
A License-Plate detecttion application based on YOLO
深度学习车牌检测与识别,检测结果包含车牌矩形框和4个角点,基于pytorch框架运行
Automatic License Plate Recognition System for Vietnamese Plates
A multi-purpose camera system focused on offline license plate and object recognition
RodoSol-ALPR: a dataset for license plate detection and recognition that includes 20K images of vehicles with Brazilian/Mercosur license plates.
A pytorch implementation of a darkent trained yolov4-tiny model that can detect number plates and helmets if a number plate is detected it is passed through an OCR to recognize the number
Read Vehicle Number Plate and store the data in a CSV file with date and time.
License Plate Recognition based on CNN/Deep Learning
In this project we utilize OpenCV t in order to identify the license number plates and the python pytesseract for the characters and digits extraction from the plate. As well this project will presents a robust and efficient ALPR system based on the state-of-the-art YOLO object detector. We build Web App with a Python program that automatically recognizes the License Number Plate by the end of this journi. The results have shown that the trained neural network is able to perform with high accuracy of nearly 90-95 percent in recognizing license plates in low resolution images using this system.
Deep Learning Applied To Vehicle Registration Plate Detection and Recognition in PyTorch.
pytorch implementation of crnn. A sample training of license plate is provided.
UFPR-ALPR: a dataset for license plate detection and recognition that includes 4,500 fully annotated images acquired in real-world scenarios where both the vehicle and the camera (inside another vehicle) are moving.
使用opencv部署深度学习车牌检测与识别,包含Python和C++两种版本的实现
Vietnamese license plate recognition
Lightweight & fast OCR models for license plate text recognition.
Automatic License Plate Recognition using Yolo v4 (2020-1 CNU SW Capstone Design Project)
Giriş Seviyesinden İleri Seviyeye Kadar Python ile Görüntü İşleme.. Nesne Tespiti, Nesne Takibi, Yüz Tespiti, Göz Algılama ve Göz Hareketleri Takibi, Beden Tespiti, El Hareketlerini Anlamlandırma, Şerit Takibi, Plaka Okuma vs. gibi resim, video ve gerçek zamanlı örnek uygulamalar