Fujitsu Develops AI Technology to Automatically Differentiate Between Work Tasks in Video Data for Employee Training and Quality Control Purposes

Kawasaki, Japan, February 18, 2021 – Fujitsu Laboratories Ltd. today announced the development of a technology that automatically detects different work elements—for instance, “removing a part,” “tightening a screw,” or “installing a cover”—from video data consisting of a series of tasks from manufacturing lines and other places of manual work.

Conventionally, in workplaces like factories, efforts to improve productivity and enhance quality have included recording the work of staff and identifying and improving upon problems in different work elements from the data. To measure the time required for each work element from the video data, however, it’s necessary to divide video data into separate work elements manually. This often means that the man-hours required to measure the time for each work element is several times to several tens of times more than the total length of the video.

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