Explore real-world CCTV feeds processed by Streamux AI models. Optimized for high accuracy and ultra-low inference latency on NVIDIA edge and cloud pipelines.
Real-time inference identifying hard hats, high-visibility reflective vests, and safety boots across multiple concurrent personnel.
Instant face detection, 512-dimensional vector embedding matching, and automated visitor check-in against company rosters.
Deep temporal pose-estimation neural networks detecting aggressive gestures, physical altercations, and crowd unrest in real time.
High-speed license plate recognition, boom barrier trigger signaling, and vehicle movement classification for high-throughput gates.
Bi-directional highway traffic counting, lane speed estimation, and vehicle type breakdown (cars, trucks, buses, two-wheelers).
Holistic building safety monitoring: loitering detection, corridor overcrowding, and automated perimeter tripwire security.
We provide a live proof-of-concept on your RTSP feeds in less than 48 hours. Zero obligation, zero hardware changes.
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