MigasVision — AI Computer Vision System for Fuel Tanker Detection & Monitoring
MigasVision brings all field supervision of fuel distribution operations -- from depots and fuel stations, pipeline/access roads, tank farms, and well pads 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 overloaded tankers, open flames/smoking in hazardous areas, fuel leaks/spills, stopped or 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/operator management, digital SOP checklists (HSE/PTW), monthly compliance reports, and road congestion status per zone (depot/fuel station, pipeline/access road, entry-exit portal, tank farm, well pad) -- ideal for oil and gas companies with more than one facility. Integrated Modules Login & Security -- encrypted authentication, tiered roles, login audit log Operational Dashboard & KPIs -- real-time tanker & trip KPIs, multi-site filters, road congestion status per zone (Depot/Fuel Station, Pipeline/Access Road, Portal, Tank Farm, Well Pad) MigasVision Assistant (AI Chatbot) -- ask questions about operational data in Indonesian, free forever with no third-party AI token costs Real-Time CCTV Monitoring -- multi-camera grid, Video Wall mode for command centers Recording & Playback (DVR) -- continuous per-camera recording, automatic segmentation, retention configured in Settings Detection Testing -- upload images/videos to validate the AI model before connecting live cameras Alert Center & Notifications -- alert log by camera/zone/shift, Mark as Handled button, CSV/PDF export Reports & Analytics -- detection of overloaded tankers, open flames/smoking, fuel leaks/spills, personnel without PPE, stopped/unauthorized vehicles; tanker trip logs & incident-prone zone heatmaps Incident Management -- formal incident reports by shift supervisors with tanker license plate/unit number, location, and actions taken Digital SOP Checklists (HSE/PTW) -- custom checklists (e.g. Tanker Pre-Start Check, PPE & Load Compliance), filled in directly from the dashboard Driver & Operator Management -- driver records, driver's license number, tanker plate, incident history per driver Camera Management -- location zone & facility site tagging per camera for multi-site operations Telegram Bot Integration -- real-time notifications with photo evidence, anti-spam throttling AI Model Center & Model Training -- retrain detection models in-house without a vendor, with bounding box annotation right in the browser User Management -- Admin/Shift Supervisor/Operator roles Settings -- company info, dashboard theme, confidence threshold, alert data retention, Email (SMTP) & WhatsApp (API gateway) notifications Why Choose MigasVision The YOLO model is trained specifically for fuel distribution facility scenarios -- not a generic model. Detections map directly to real operational risks: tanker load compliance, safety in fire-hazard areas, and potential leaks/spills -- so every alert is relevant and actionable for field teams. The MigasVision Assistant answers operational questions straight from system data rather than relying on a paid generative AI chatbot -- with no ongoing token subscription costs. Ideal for fuel depots, large fuel stations, tank farm facilities, well pads, and oil and gas distribution companies with more than one facility that want to move away from paper-based manual supervision and conventional CCTV. Technical Specifications 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 enterprise needs. DVR recordings are stored locally on your server, not in a third-party cloud.
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