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Learn to transform computer vision demo projects into production-ready AI systems with comprehensive database integration in this 21-minute tutorial. Master the complete pipeline from object detection and tracking to zone-based logic implementation and persistent data storage. Discover how to build a computer vision solution that achieves speed detection with less than 5% error using only camera feeds, making it ideal for smart cities, surveillance, and industrial applications. Explore practical techniques for moving beyond proof-of-concept demonstrations to create deployable systems that can handle real-world scenarios with reliable data logging and tracking capabilities.
Syllabus
Object Tracking + Database Logging | From Demo to Deployable AI System
Taught by
Pysource