20% of the population is affected by workplace illnesses, of which 87% are musculoskeletal disorders. Every year, 40,000 new people suffer from MSD caused by their working environments.
The Rennes-based team behind Moovency have developed a concept to automatically detect these risks using a depth of field camera. These types of cameras, initially developed for the video games industry, cannot be used directly in factory conditions, as objects - whether static of moving - get in the way of the cameras and workers, which can lead to significant measurement errors. But the algorithm developed by KIMEA means this technology can now be used in these kinds of scenarios, providing reliable assessments of workers’ postures.
On a computer screen, a digital silhouette is reproduced that models the workers’ movements as they operate their machines. The goal is to automatically detect any potential causes of musculoskeletal disorders at workstations. This method provides a diagnosis based solely on a depth of field camera and the algorithms developed by the Moovency team.
More information is available on the Moovency website.