This describes a system for watching vehicles, robots, or drones from a central location. Each autonomous unit has its own sensors and cameras to collect data, which it processes locally before sending to the control center. The control center then uses this processed data to train artificial intelligence, which calculates and updates a risk level for potential incidents, sometimes using computer vision.
Why it matters: Filed before the widespread maturation of efficient edge AI processing and robust computer vision models. The ability to process data on-device and train AI with that processed data is now significantly more powerful and accessible.
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