#Video analytics
Video analytics as an impartial monitor of discipline. Incorporating smart modules into existing CCTV systems. Managing encounters with violators and using thermographic video mapping at complex sites.
Results of Implementing Operator Fatigue Monitoring Systems
Large-scale implementation of a hardware-software operator monitoring system based on machine vision for 3,500 drivers of mining and auxiliary equipment. The solution is integrated with dispatch and surround-view systems, automatically warns against falling asleep at the wheel, and collects video data for neural network analysis of production processes.
Digital Solutions for Ensuring Safety in Mining Operations
Implementation of a complex of digital systems in mining operations to monitor the condition of dump truck drivers and prevent collisions. Use of video analytics (OKO system) to detect falling asleep and distraction, as well as the integration of GPS trackers with ACS for personnel positioning and hazardous zone control.
Identifying Injury Risks in Rail Transport Using Video Surveillance
Microsleep: The Invisible Enemy Behind the Wheel
AI and Video Analytics in HSE: From Idea to In-House Launch
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.
AI in Action: How a Neural Network Prevented a Cardinal Safety Rule Violation at Kola MMC
Implementation of Digital Technologies in the Safety Compliance Control Process at ZARUBEZHNEFT-Dobycha Kharyaga LLC
Effective Road Safety Control for Authorized Company Vehicle Drivers: How to Improve Safety on Russian Roads
Implementation of an AI-based video analytics system to monitor the behavior of fuel truck and company vehicle drivers. The system records critical violations in real time (distraction, falling asleep, unfastened seat belt), warns the driver, and transmits data for analysis and prompt response.
Digital Solutions for Road Safety: State & Business
Implementation of hardware and telematics systems for road safety control. The practice includes integrating mandatory state monitoring systems (ASN, tachographs) with corporate platforms, as well as using in-cabin video analytics to assess driver condition and driving style.
Digital Safety Services: Ecology and Fleet Under Control
Implementation of a telematics and AI video analytics system for fleet control and predictive accident prevention. The system includes sound alerts for drivers during violations, driving style scoring, and automated feedback via Telegram bots for line managers.
How Do Artificial Intelligence and Computer Vision Control HSE at Industrial Facilities?
Implementation of an AI and computer vision-based video analytics system for automatic control of HSE compliance. The solution recognizes correct PPE usage, personnel presence in dynamic hazardous areas, and uses Multimodal LLM for contextual incident analysis.
Results of SKAI Video Analytics Pilot Testing for Azot Company
Implementation of a video analytics system (DMS and ADAS cameras) on truck tractors to monitor driver conditions during hazardous materials transport. Use of vibration motors and audio alerts to correct dangerous behavior and prevent sabotage.