Reduces time for analyzing manual work on production sites by up to 99%

Mitsubishi Electric Corporation (TOKYO: 6503) announced today that it has developed a behavioral-analysis AI that analyzes the efficiency of manual tasks performed on production sites in just a few minutes without requiring operators to prepare AI-training data in advance, by adopting a probabilistic generative model. This new addition to the company's Maisart AI lineup quickly analyzes videos of people performing repetitive tasks and then visualizes how tasks can be performed more efficiently for greater productivity.

This is believed to be the world's first application of a probabilistic generative model that modeled cyclical (repetitive) physical actions performed during factory work. The technology, first announced by Mitsubishi Electric on February 13, 2019, has been shown in tests to reduce the time conventionally required for work analysis by up to 99%.

Commercialization is targeted for the fiscal year ending in March 2026, or later.

The technology will be exhibited and demonstrated at IIFES 2024 (Innovative Industry Fair for E x E Solutions 2024), which will be held at Tokyo Big Sight from January 31.

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