Video Analysis & Management System for School Surveillance
تفاصيل العمل
Designed and developed a distributed real-time surveillance system with AI-based video analysis on edge devices (Jetson Nano), reducing response time to safety incidents by 85% o Built a scalable backend using Node.js and BullMQ with Redis for job scheduling, processing 500+ clips/day and cutting storage costs by 40% through TTL-based cleanup o Architected a hybrid storage model (local + cloud metadata via MongoDB) with retention policies managing 2TB+ of data across 50+ devices
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