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Al-Powered Employee Attendance & Multi-Camera Tracking Platform Computer vision

Buget: $410.0 FIXED / ⭐ 5.00 (437) United States

api-integration, next.js, node.js, artificial-intelligence, automation, python, firebase

Preferred qualifications

  • Experience: Intermediate
We are looking for an experienced Computer Vision / AI developer (or team) to build a scalable, on-premise employee attendance and tracking platform using NVIDIA DeepStream or Savant Framework (DeepStream preferred). The system will use CCTV cameras for face recognition, person re-identification (ReID), and multi-camera tracking to automatically record attendance, monitor employee movements, and detect when employees leave or return to their assigned work areas. The platform must include a modern web-based Admin and Supervisor dashboard to manage employees, upload multiple face images, configure unlimited cameras, buildings and floors, upload floor plans, place cameras on maps, create work zones (geofencing), and display employees' real-time locations on a 2D floor plan. It should be designed as a universal, modular solution that can be deployed in different environments and scale to any number of cameras or employees. Please apply only if you have proven experience with NVIDIA DeepStream/Savant, multi-camera tracking, face recognition, and modern web dashboard development. Share examples of similar AI/computer vision projects you have completed.
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