Machine Learning APIs for common use cases, include: General OCR (Simplified/Traditional Chinese), Custom OCR, Image Similarity, Object Recognition, Face Detection, Face Comparison, Human Image Segmentation, Human Attribute Recognition, Pornography Detection, Image Super Resolution, Text Similarity, Car License Plate, etc.

This is an implementation of a research paper - creating an Automatic Car License Plate Recognizer with some Computer Vision Techniques.

Car License Plate Recognition by TensorFlow and Pytesseract

Object detection with CreateML

Flutter ALPR/ANPR Project: license plate recognition, vehicle number plate recognition, ALPR reader, ALPR scanner, license plate OCR, car number plate recognition

Our Automatic License Plate Recognition (ALPR) system is built using state-of-the-art methodologies and techniques to provide the optimal speed/accuracy trade-off at each level. Images of vehicles and Moroccan and European LPs were used to train the neural networks.

This project develops a license plate recognition system using YOLOv8 for detection and PaddleOCR for character recognition. It extracts license plate numbers from video streams, incorporating image preprocessing for enhanced accuracy and a user interface for interaction.