License Plate Detection and Recognition in Unconstrained Scenarios
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Updated
Jul 1, 2022 - C
License Plate Detection and Recognition in Unconstrained Scenarios
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.
NanoNets OCR API Example for Python
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.
Open Source and Free License Plate Recognition Software
This is an implementation of a research paper - creating an Automatic Car License Plate Recognizer with some Computer Vision Techniques.
This is one of the best vehicle recognition applications. It can determine the car's license plate number, color, model, brand and year.
A multi-purpose camera system focused on offline license plate and object recognition
A project where the license plate number is extracted from image of a vehicle using Object detection and Character recognition techniques.
Detect vehicles license plate location
License plate parsing using Darknet and YOLO
Pretrained Pytorch license plate segmentation model (DeepLabV3 with ResNet-101 backbone)
Reconocedor Automatico (real-time) de Patentes utilizando Redes Neuronales Convolucionales
CampusCar provides automated vehicle entry system for any campus/institute or any buildings/socities to automate the process and help maintain records,logs,vehicles etc.
Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) on Android Mobile App.
Free Version of License Plate Recognition Software with Docker
Detection of license plate and recognising the registration number
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