Applying machine learning to keep employees safe and save lives

摘要： Whether on factory floors, construction sites, or warehouses, accidents have been an ongoing, and sometimes deadly, factor across industries. Add in the pandemic — and an increasing rate and intensity of natural disasters — and the safety of employees and citizens becomes more complicated.

▲圖片標題(來源：Adobe)

Reducing accidents with a high degree of accuracy

Work-related injuries cost the economy $61.8 billion with the costs borne by both the organization and the worker themselves, making this extremely challenging for both parties. Many of those injuries happen on the factory floor which is over-represented as a proportion of all work-related injuries, Orr says.

“70% of workplace injuries or deaths happen because of unwanted interactions between heavy vehicles and people,” he says. “Of those 70%, more than 30% are unwanted interactions between forklifts and people.”

Organizations have stepped up their Occupational Health & Safety activities to make employees more aware of workplace dangers and improved safety measures, which does help, but accidents can still occur.

Bigmate developed Warny to enhance safety in the workplace and reduce these kinds of accidents. The Warny ecosystem is comprised of three core applications: vehicle collision avoidance, safety zone alerting, and thermal analysis of people and industrial systems on the factory floor.

Developed over a number of years, the solution is built in-house and uses both edge hardware for local performance and privacy as well as AWS Services in the cloud. Warny leverages many of the key AWS Services such as IoT, Greengrass, and Sagemaker.

Warny uses sophisticated computer vision algorithms to protect people working around dangerous machines — such as forklifts, trucks, or manufacturing machinery. It can detect instances of spontaneous combustion of materials, overheating of equipment, and fires in the workplace, as well as analyze, report on, and alert machine operators in real time about unexpected events, such as a person being in an unsafe area even when not in line of sight of the operator.

詳見全文Full Text： venturebeat.com

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