Be Global Safety

Chicago,  IL 
United States
  • Booth: 2174

Hi! My name is Nilay and I am looking forward to meeting you

 Press Releases

  • Safety An indirect application of ML in AM is in the field of safety. Today, we employ cameras and other detection devices for safety and security monitoring, but this approach is not truly effective in preventative safety, only offering event data after the fact.

    Be Global Safety (BGS) has employed ML to train its algorithm to spot unsafe situations and make instant notifications for human intervention. To do this, the company employs deep learning technology, a form of supervised learning. BGS digitises the environment, including health and safety considerations, in manufacturing. It is effectively a real-time safety solution that can be trained to assist in complying with local, national, and international safety standards.

    The use of ML allows digitisation of current safety operations, but in the process also creates a tool for virtual safety audits (Fig. 9). Updates can then be incorporated instantly to advise human observers as new threats emerge. In line with today’s coronavirus (COVID-19) safety measures, for example, wearing a face mask would be important, and compliance can be measured quickly. As BGS puts it, “These digital updates to safety standards, machine specifications and required training are of great importance to advanced manufacturing technologies like Additive Manufacturing, where the technologies continue to evolve at a breakneck pace.”


  • BGS software
    Connect BGS software to existing cameras and sensors in your facility and see analytics and statistics on the dashboard where, how often and what kind of near misses and incidents happen around you....

  • You take control over your workplace safety, enable modules you need and pay only for what you use. You can also eliminate floor audits - 24/7 analytics give you more insight than any floor audit will. Additionally, 85% of near misses are not detected nor reported which leads to fines, injuries and accidents. 
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