First Wind Power Plant LLP
Video analytics and AI algorithms for early detection of OSH threats, procedure violations, and critical situations at a wind power plant.
At First Wind Power Plant LLP, a Best Vision digital safety loop has been deployed: streams from cameras and wearable devices are processed by AI algorithms that monitor deviations from occupational and industrial safety requirements close to real time. The solution is tailored to wind power specifics: work at height, equipment servicing, strict permits, and remote site sections.
AI models analyze video from production zones and capture events requiring HSE and dispatch attention: missing or improper PPE use, presence in hazardous zones, signs of falls, personnel crowding, barrier violations, and other scenarios defined in facility procedures. Alerts are sent to a unified analytics platform so management sees not fragmented reports, but a prioritized risk feed with the ability to respond quickly.
- Early detection of OSH threats — automatic recognition of high-risk situations (work at height, dangerous proximity to equipment, procedure non-compliance) before escalation into an incident.
- Control of procedures and PPE — detection of occupational safety instruction violations, helmet and protective gear use, and compliance with access zones at wind turbines and auxiliary sites.
- Critical events — detection of falls, SOS signals, abnormal activity, and other triggers for immediate notification of responsible personnel.
- Integration with wearable devices — when needed, data from smart helmets and cameras is combined with video analytics for a complete picture in live operations and archives.
- Analytics for HSE and production — violation trends, recurring risk zones, and reports for injury prevention and improved discipline at the facility.
The deployment confirms the facility's course toward predictive safety: Best Vision technologies help reduce human-factor risks, strengthen OSH culture, and shift control from selective inspections to continuous digital monitoring of the wind farm.