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Python-based Number Plate Detection System: Automates vehicle license plate identification using computer vision. Efficiently detects, localizes, and recognizes plates for applications like toll collection and security surveillance. Utilizes OpenCV and Numpy.
Guide for setting up a virtual environment and kernel for Python image processing. Practical exercises cover face recognition, shapes detection, vehicle identification, face detection, and vehicle number plate detection in a Jupiter Notebook. Purpose: Hands-on experience with essential computer vision techniques.
it is a Image Processing project which is used to detect vehicle number plate using Rasoberry pi 3.In this project Detecting vehicle number plates is a complex task that typically involves multiple steps, including object detection to locate the vehicles, and then text recognition to extract the characters from the number plate.
Research about Different Deep learning models for ANPR (Automatic number-plate recognition) for Indian Number-Plate Fonts. Includes Training and Testing of CNN models like VGG-9 , MobileNetV2 and Le-Net .