Computer VisionNumber Plate Recognition
An advanced computer vision system for detecting and recognizing vehicle number plates from video feeds. Uses YOLO for object detection and EasyOCR for optical character recognition. Features real-time plate validation against a database, categorizing vehicles as known, unknown, or invalid formats with color-coded visual feedback.
Project Duration
Nov 2024 — Dec 2024
Client
Security Solutions ClientNDA
Key Features
Real-time number plate detection
OCR-based plate recognition
Database validation
Known/Unknown vehicle classification
Regional format support
Video feed processing
Technology Stack
PythonYOLOOpenCVEasyOCRSQLiteUltralytics
Project Metrics
96%
accuracy
25+
fps
5+
formats
Search Demand
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computer vision portfolio projectslatest computer vision projectsALPR & Vehicle Tracking
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