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Memuat
Software

CoalVision brings all field supervision of coal mining operations -- from hauling roads, weighbridges, and stockpiles to entry and exit portals -- into a single AI computer vision (YOLO) dashboard. Your existing CCTV/RTSP cameras are analyzed in real time to detect loaded trucks, overloaded trucks, uncovered loads, coal spillage on the road, unauthorized vehicles, and personnel without PPE -- instantly triggering tiered alerts to field teams via the dashboard, Telegram, Email, and WhatsApp.
The Enterprise edition adds an enterprise-grade security and operations foundation: login with two-factor authentication (2FA) and audit logs, per-camera DVR video recording, multi-site & multi-driver management, digital SOP checklists, monthly compliance reports, and real API integration with weighbridge devices / ERP systems -- ideal for mining groups operating more than one mine site.
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The YOLO model is trained specifically for coal mine haul road scenarios, not a generic model -- its 10 detection classes map directly to real operational risks (load compliance, road safety, environment). The CoalVision Assistant answers questions about operational data straight from the system database rather than relying on a paid generative AI chatbot -- so there are no ongoing token subscription costs. Weighbridge data and camera alerts complement each other through real webhook API integration with weighbridge devices or ERP software.
Ideal for coal mining companies, hauling contractors, and mining groups with more than one mine site that want to move away from paper-based manual supervision and conventional CCTV.
Built with Node.js + Express + PostgreSQL (Supabase), with YOLO-based object detection, deployed on serverless cloud infrastructure (Vercel) or on-premise with a GPU server for the Enterprise package. DVR recordings are stored locally on your server, not in a third-party cloud.