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Fig. 1 Advanced system for work analysis and resulting improvements in work effi

Fig. 1 Advanced system for work analysis and resulting improvements in work efficiency

TOKYO, January 25, 2024 - 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 data1 in advance, by adopting a probabilistic generative model.2 This new addition to the company's Maisart3 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 first4 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, 2019,5 has been shown in tests to reduce the time conventionally required for work analysis by up to 99%.6
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.

  1. 1Data set of examples and correct answers for AI machine learning
  2. 2A type of AI that treats data as random variables, and models the process of generating observed data
  3. 3Brand name ("Mitsubishi Electric's AI creates the State-of-the- ART in Technology") of AI for making devices smarter Maisart
  4. 4According to Mitsubishi Electric research as of January 25, 2024
  5. 5https://www.MitsubishiElectric.com/news/2019/pdf/0213-c.pdf
  6. 6Comparisons with the time required to create data for manual analysis and existing AI for general work analysis


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