Offline Computer Vision Developer Needed for RTSP People Counting System

I am building FZYX, an offline AI business monitoring system for playgrounds, gyms, and pools. I need a serious Computer Vision developer/team to build the first milestone using my own video file. First milestone requirements: * Detect adults vs children * Track each person * Avoid double counting * Count entries/exits using line crossing * Handle occlusions as much as possible * Export structured JSON events * Run locally/offline using Python/OpenCV/YOLO or similar tools Later milestones: * Live RTSP camera support * Custom zones * Dashboard * Database * WhatsApp reports * Payment-behavior analysis using cashier-zone dwell time, drawer opening, and group linking Important: * Fixed-price milestone only * Weekly demo required * GitHub commits required * Clear documentation required * No full payment before working demo Please apply only if you have experience with: Python, OpenCV, YOLO/Ultralytics, RTSP, object tracking, ByteTrack/BoT-SORT, line crossing, and real-time video analytics.