SafePath Guardian

SafePath Guardian is a camera-based safety copilot designed for autonomous mobile robots operating in busy warehouses. Running on the SiMa.ai Modalix platform, it processes live RTSP video with hardware-accelerated decoding and YOLO26n inference on the Machine Learning Accelerator. The system detects and tracks people across frames, then evaluates their location, confidence, approach motion, and proximity to configurable safety zones. Instead of returning detections alone, SafePath Guardian converts perception into actionable, explainable motion decisions: CLEAR, CAUTION, SLOW, or STOP. A state machine uses persistence and hysteresis to respond quickly to genuine hazards while avoiding unstable commands caused by brief or noisy detections. Each transition includes a human-readable reason, risk score, tracked person ID, and simulated velocity command. The application supports up to four camera streams through a shared detector and presents annotated video, tracking metadata, safety zones, and current decisions in SiMa Insight. It also records structured safety events for later analysis. SafePath Guardian demonstrates how efficient edge AI can provide responsive and transparent collision-risk awareness without relying on cloud processing.