Nicolas SS@NicolasMSS

167 construction workers die every single day. Not in a year — every day. Most of those deaths were preventable. Safety on construction sites is still manual. 80% of CCTV footage is never reviewed. The manager-to-worker ratio is 1:50 — impossible at scale. 30% of workplace accidents worldwide happen on construction sites. The cameras are already there. Nobody is watching them. SafeSite AI puts automated eyes on every camera. The moment a worker enters a zone without a helmet, mask, or safety vest, the system detects the violation in under 500 milliseconds. Face recognition identifies the worker by name. A voice alert fires on-site — calling them out personally. The supervisor is pinged. The incident is timestamped and auto-logged for compliance. Zero blind spots. Zero manual inspection. Zero paperwork. The stack: YOLOv26 for PPE detection, InsightFace for identity, Edge-TTS for personalized voice alerts — all running on AMD Developer Cloud with ROCm. FastAPI backend, Next.js + WebSocket dashboard, Huggingface Spaces for hybrid storage. Real-time across every frame, every camera, simultaneously. The math is brutal. One fatal accident costs a contractor over $1 million in medical, legal, and insurance hits. One year of SafeSite AI on a medium site costs ~$10k. That's a 100× ROI on a single prevented death. The global AI construction-safety market hits $11.6B by 2034 — tripling in under a decade. Roadmap: full offline edge mode and mobile by Q3 2026. ASEAN launch — Vietnam, Philippines, Malaysia — in Q1 2027. By 2028, predictive AI: the system learns each worker's behavior and flags risk before accidents happen. Today, SafeSite AI reacts. Tomorrow, it predicts. We become the safety intelligence layer of every major construction project in the region — starting today.

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