#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.
From Video Monitoring to an AI Safety Ecosystem: How to Turn HSE Data into Incident Prevention
Building a comprehensive AI ecosystem for industrial safety using an internal team without hiring professional software developers. The solution includes a computer vision system, a hardware-software module for pupil-reaction fatigue monitoring, automated generation of training materials and standard operating procedures, as well as AI simulators for behavioral audits and knowledge checks.
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
At the company JSC "Apatit", the analysis of footage from video surveillance cameras made it possible to identify critical violations of occupational health and safety requirements during the operation of rail transport. Based on the results of internal investigations, organizational and technical measures were developed, including conducting tests of a video analytics system with computer vision. The article examines practical examples of hazardous situations and describes the operating princip...
Microsleep: The Invisible Enemy Behind the Wheel
The article describes the experience of implementing a driver fatigue monitoring system (SKUV) at the Bystrinsky GOK to combat microsleep — involuntary falling asleep at the wheel of a mining dump truck. The hardware and software system tracks signs of fatigue in real time and instantly responds with an audio signal and seat vibration. The author reveals the technology's design, the process of overcoming employee distrust, and the practical benefits of the system for preventing traffic accidents...
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
In the nickel electrolysis shop of Kola MMC, an artificial intelligence system recorded a violation of industrial safety rules for the first time when an employee entered a hazard zone without shutting down the equipment. A neural network with nine video cameras recognized a person in a restricted area, activated an audible alert, and sent notifications to management via email and the Supernika messenger. The article examines this practical case study, as well as the prospects for scaling the te...
Implementation of Digital Technologies in the Safety Compliance Control Process at ZARUBEZHNEFT-Dobycha Kharyaga LLC
The article examines the experience and plans of LLC Zarubezhneft-Dobycha Kharyaga regarding the implementation of video analytics systems and unmanned technologies for the early detection of operational risks. Based on the "Intellect" software platform, it is planned to deploy modules for monitoring the use of PPE, fire detection, and personnel behavior analysis, expanding facility coverage using UAVs and inspection robots. The implementation of these solutions will make it possible to transiti...
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.