From Skeletons to Semantics: Design and Deployment of a Hybrid Edge-Based Action Detection System for Public Safety

1. 1Design a hybrid system combining skeleton and semantic features for action detection
2. 2Deploy the system on edge devices to reduce latency and improve resource efficiency
3. 3Evaluate the system's performance in public safety scenarios, such as transport hubs and city centres
4. 4Refine the system based on feedback from public safety officials and video analysis results

Computer vision engineers and public safety officials can benefit from this system as it provides timely and reliable detection of potentially violent behavior in public spaces

💡 Hybrid approach combining skeleton and semantic features can improve action detection accuracy in public safety scenarios

🚨 Edge-based action detection for public safety! 🚨