Implanting Machine Vision algorithms as unsleeping sentinels. Deploying neural code over standard CCTV grids. Identifies maskless workers, trespassing acts into perilous red zones, and rogue truck navigation.
Implementation of a machine vision system based on the Open Source MoonDream model to monitor PPE usage and sanitary compliance in food production. The system analyzes real-time video streams, sends violation alerts to a Telegram bot for responsible managers within 15 seconds, and is accompanied by a positive employee motivation program without fines.
A comprehensive transport safety management system at an industrial enterprise, including abandoning the rotational method, implementing automated pre-trip medical exams, and creating mobile road safety control groups. Application of technical assistants: driver fatigue monitoring systems, onboard machine vision on locomotives, telemetry alertness bracelets for drivers, and laser visualization of danger zones.
Development and implementation of a video analytics system based on the open-source MoonDream model by the company's internal specialists. The solution analyzes the real-time video stream from cameras, detects violations of PPE and sanitary clothing rules, as well as unauthorized actions with equipment, and automatically sends notifications to responsible persons via a Telegram bot.
Implementation of an automated HSE incident detection system (ASVIOT) based on machine vision and video analytics. The system recognizes the absence of PPE, hazardous situations, and controls geofences, supplemented by smart bracelets for personnel condition monitoring and two-way communication at high-security facilities.