Trinetra - ALPR System for Nepal
Impact
98% accuracy rate, millions of vehicles processed daily, improved traffic enforcement
Project Overview
Automated License Plate Recognition system specifically engineered for Nepali number plates and traffic conditions. Trinetra uses advanced computer vision, OCR, and deep learning to accurately detect and read Nepali vehicle number plates in various lighting conditions, angles, and weather scenarios. The system achieves 98% accuracy in real-world conditions and processes video streams in real-time. Applications include automated toll collection, parking management, traffic law enforcement, vehicle access control, and security surveillance. Features include vehicle speed detection, traffic violation recording, blacklist alerts, and comprehensive analytics dashboard. The system integrates with existing traffic management infrastructure and supports cloud and edge deployment. Successfully deployed across multiple cities in Nepal, processing millions of vehicle movements daily.
Key Features
98% accuracy in Nepali plates
Real-time video processing
Speed detection
Violation recording
Blacklist alerts
Analytics dashboard
Cloud & edge deployment
Technologies Used
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