#Artificial intelligence
Artificial Intelligence (AI) in occupational health and safety management. Moving to predictive analytics. Cases on neural networks analyzing Big Data, forecasting incidents, and tailoring training.
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.
Digitalization of Access Control: New Horizons of Safety
Implementation of a comprehensive access control system for high-risk work, including the personal presence of experts ("demonstration access"), continuous video recording of the process using mobile recorders, and testing of stationary neural network video analytics complexes. The practice aims to eliminate a formal approach to pre-shift briefings and PPE checks, as well as to build trusting relationships between personnel and regulatory bodies.
Implementation of an Integrated Safety Barrier System
Implementation of an integrated safety barrier system at a petrochemical enterprise. Includes a vertically integrated risk management system, practice-oriented training, targeted audits, personnel engagement through safety championships, and intelligent video surveillance for PPE control at heights.
Principles of Developing HSE Specialists in the Tatneft Group
Centralization of HSE management in the group of companies with the creation of a unified Industrial and Environmental Safety Center. Introduction of innovative control tools, including UAVs and AI for facility monitoring, as well as comprehensive programs for attracting and developing young specialists.
Opening a Corporate Licensed HSE Training Center. Testing the Hypothesis: "HSE Can Make Money"
Creating a corporate licensed HSE training center based on a scientific enterprise of the holding. The project included developing microlearning programs, implementing the Olimpoks LMS, preparing a training classroom, and obtaining an educational license in 6 months.
A New Perspective on Safety Signs
Modernizing standard safety signs by adding QR codes linking to thematic videos and English descriptions. This tool is used to increase staff engagement, visualize occupational risks, and assist line managers during briefings.
Transforming Human Capital Investments as a Guarantee of Employee and Business Well-being in Changing Conditions
Integrating HSE and employee well-being into the overall ESG strategy of an investment holding. Implementing digital tools (AI, IoT, video analytics) for safety monitoring and developing a corporate culture focused on psychological safety and personnel meta-skills.
"External Knowledge Assessment" Project. Development of Knowledge Matrices for Drilling and Well Intervention Crews
Implementation of a remote HSE knowledge testing system for contractor personnel using AI proctoring. Development of specialized knowledge matrices involving contractor experts and integration of testing results into an automated facility admission system.
Features of the Environmental Impact Risk Management System at VSMPO-AVISMA Corporation PJSC
Implementation of a combined environmental risk management system at a large industrial enterprise. Using the acceptable risk concept for mass events (over 4,000 risks) and minimal risk for strategic threats, applying individual technological solutions (e.g., transition to titanium laser cutting).
Process Transformation in Occupational Safety
Transformation of the HSE function in a large mining and metallurgical company by separating it into an independent vertical and shifting from a reactive model to a risk-oriented approach. Implementation of phased injury reduction KPIs, cross-functional collaboration, and targeted technological safety programs using digital tools.
Incident Management
The incident management system at Danone, which includes investigating all incidents (including micro-injuries and near-misses) using a combination of 5M and "5 Whys" methods. The practice covers involving contractors on an equal footing with full-time employees and developing a neural network to forecast future incidents based on large datasets.
External Knowledge Assessment
Implementation of an external knowledge assessment (EKA) system to verify contractor employee competencies before admission to production sites. The practice includes the "knowledge quantization" methodology for creating targeted tests and using an IT platform with AI proctoring to ensure independent test completion.