AI Cuts Safety Labor by 70% at Volga Cable Factory

The Beeline Big Data & AI team developed and implemented an artificial intelligence system for safety control at a cable plant in the Volga region. The implementation reduced routine labor costs for the occupational safety service by 70%.

Previously, occupational safety engineers manually reviewed hours-long video recordings of production processes, which took significant time and did not ensure prompt response to violations.

The new system is based on computer vision. Cameras are installed on overhead cranes, and the AI model analyzes the video stream in real time, performing two main functions:

• Automatic checking for the presence of personal protective equipment — a helmet and vest on the crane operator.
• Monitoring compliance with the technological sequence of operations: walking around the load to check slings, preliminary lifting with a pause, and subsequent full lifting.

If deviations from the rules are detected, the system instantly sends a notification to the responsible specialist. All incidents are recorded in a unified database with timestamps and links to the corresponding video clips for subsequent analysis.

Thanks to automation, occupational safety engineers have been freed from monotonous work. Now they can use ready-made analytics for preventive measures and training personnel on specific examples.

Konstantin Romanov, Director of Artificial Intelligence and Digital Products at Beeline:
— In conditions where employee safety and economic efficiency are becoming increasingly important, solutions based on artificial intelligence are not just an innovation, but a necessity for modern production. The system can be installed in cloud infrastructure or locally — directly within the company«s network, which is often critical for organizations operating with limited internet connectivity.