Real-Time AI Video Analysis on Jetson

Job ID: 40009479

Budget: $25 – $50 AUD

Description:
We are building an AI system for commercial gyms that analyzes camera feeds in real-time to detect hazards, bad exercise form, spills, trip risks, and safety issues.

We need an engineer who can build the edge AI pipeline on Jetson Orin Nano.

Responsibilities:
• Connect to RTSP/ONVIF camera feeds
• Implement DeepStream or GStreamer pipelines
• Integrate YOLO + MediaPipe/BlazePose
• Handle real-time video processing
• Create local APIs for cloud alerts
• Optimize performance (FPS, latency)

Requirements:
• Experience with NVIDIA Jetson boards
• Strong with Python + GStreamer or DeepStream
• Experience deploying YOLO
• Understanding of real-time CV
• Solid testing & debugging skills

Bonus:
• Experience with gyms or industrial safety AI