While labor shortages are intensifying at distribution warehouses, factories, construction sites, and other industrial workplaces, many processes reliant on manual labor remain. As such, there is a growing demand to optimize the allocation of personnel and work processes by visualizing working conditions to utilize the limited labor force more effectively. Although technology for recognizing work tasks from video already exists, in order to recognize specific tasks at workplaces, a great deal of time and effort have been needed for preparations, including collecting on-site video data and training AI models.
Moreover, to digitalize work tasks over an entire wide area worksite using multiple cameras, workers must be identified across video from all cameras, and the work tasks recognition results must be consolidated for each worker. With conventional technology, however, it has been challenging to accurately distinguish workers wearing identical uniforms and to continue identifying the same person without error across multiple cameras.
The features of NEC’s newly developed technology are as follows.