Fujitsu Develops AI Technology to Automatically Differentiate Between Work Tasks in Video Data for Employee Training and Quality Control Purposes
Retrieved on:
Thursday, February 18, 2021
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.
Key Points:
- 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.
- Fujitsu has successfully developed a technology to automatically detect work elements even for different video data of the same work, taking into account variations in motion and other similar movements, by learning each work element using data obtained by dividing a single video for each element as training data.
- Next, the division position (timestamp) of the work element section corresponding to the training data video is used to associate the discreet movement with the work element.
- In each process, by only training with the division data of each work element of one person's video, the work element is automatically detected even in another video of the same work with 90% or more accuracy.