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  • Introduction
  • Functional Demo
  • Application Scenarios
  • Related Algorithms
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.
Frostmen/stonemasons, etc.
Electric welding/gas welding/glass workshop
Laboratory/hospital

for the lathe workers, frostmen, stonemasons, etc., who have iron sand and gravel flying strike, it can automatically identify whether they are in compliance to wear dustproof/shock-proof glasses, so as to reduce safety accidents.

For electric welding, gas welding, steelmaking, glass blowing and other operations personnel with potential danger of light radiation, automatically identify whether they are wearing anti-arc radiation glasses in compliance, so as to reduce safety accidents.

Automatically identifies whether the staff in the laboratory and hospital are wearing chemical glasses in compliance, so as to prevent solution from splashing in and reduce safety accidents.

One Key to Start The Journey of Intelligent Transformation