Seat belt recognition

Keyword: Oil field、 smart construction site、 high altitude operation

Introduction
Functional Demo
Application Scenarios
Related Algorithms

Based on large-scale seat belt data for algorithm model training, with on-site cameras, it can automatically recognize whether workers on the construction site are wearing seat belts. The recognition accuracy rate is not less than 90%, and the effect of efficient supervision is achieved.

Oil field, construction site, aerial work site

Automatic identification of monitoring personnel wearing safety belts, real-time warning, efficient supervision, construction site safety management to reduce the cost of human supervision.

Helmet Detection

Based on the large-scale helmet data identification training, combined with the field camera, the system can automatically identify whether the worker wears a helmet, if not , a real-time alarm will sound . The precision is up to 90%.
Reflective clothing recognition

Based on large-scale reflective clothing data recognition training, with on-site cameras, it can automatically monitor whether people are wearing reflective clothing in special environments such as highways and construction sites, effectively preventing accidental injuries caused by not wearing reflective clothing, and efficiently supervise and supervise.
Glasses

Based on large-scale goggles data recognition training, in conjunction with on-site cameras, it can automatically monitor whether personnel in special environments such as electric welding steelmaking, lathes and sanders are wearing goggles in compliance with regulations, reducing accidental injuries, and efficiently supervising and supervising. It can support the identification of common goggles on the market: such as black goggles, transparent goggles, and ordinary black-frame glasses.

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