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Mitsubishi Electric's KOTSUMON® System Uses AI Video Technology to Analyze Production Line Workers' Motions
[October 08, 2019]

Mitsubishi Electric's KOTSUMON® System Uses AI Video Technology to Analyze Production Line Workers' Motions


Mitsubishi Electric Corporation (TOKYO: 6503) announced today its newly developed KOTSUMON® system uses the company's Maisart®* artificial-intelligence (AI) technologies to extract video data for the automatic identification and analysis of specific types of human motions, such as those of workers on production lines. The system simply requires a normal video to automatically measure work efficiency and detect omitted or mistaken motions, which manufacturers are expected to use to upgrade their line operations for improved productivity.
* Mitsubishi Electric's AI creates the State-of-the-ART in technology

Key Features

1) Measures wrk time and detects mistaken motions to reduce analysis time to one-tenth normal



Mitsubishi Electric's (News - Alert) new system automatically identifies motions with 90 percent accuracy** by using AI to learn a worker's poses and motions. Since the analysis can be performed with normal videos, there is no need to attach sensors to the worker, etc. Moreover, the analytical workload and time is just one-tenth** that of visual observation performed manually by supervisors. The technology was developed in collaboration with Professor Aoki Yoshimitsu and Aoki Media Sensing Laboratory of Department of Electrical Engineering, Faculty of Science and Technology, Keio University.
** Based on in-house analysis

2) Motion extraction and visualization enables standardized analysis by any supervisor


Correcting a line worker's motions is generally a three-step process: firstly, detect inappropriate or useless motions; secondly, determine needed corrections in physical processes and/or working environment; and thirdly, teach the worker more efficient motions. Often, however, workers move too fast to detect problems visually, and analytical results can vary from one supervisor to the next, making it difficult to obtain consistently useful results through manual analysis.

For the full text, please visit: www.MitsubishiElectric.com/news/


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