- manufacturing
Introduced a "KY (hazard prediction) suggestion system" that utilizes advanced AI to five domestic factories
Mitsubishi Gas Chemical Co., Ltd.- natural language processing
business challenges
Many near-miss reports are created every month at the factory, and in addition to crisis prevention activities on-site, the system has had a certain effect on education, such as fostering safety sensitivity. However, because there is a large amount of information regarding near misses submitted in the past, it is difficult to pinpoint the necessary information, and past data has not been fully utilized.
Deployment solution
Smart security support service
Solution features
- Extract and structure work content from data in various formats as needed
- Possible to suggest troubles that may occur during work from past information
- Supports system linkage and on-premises support for individual development.
Benefits
It is now possible to timely suggest near-miss information and accident/work-related injury information related to the day's work, making it easier to check related information. In addition, we have improved the inability to share information between locations in the past, and progress has been made in the utilization of past near-miss and accident information.
contact contact
Consultation, questions, etc.
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