05/24/2022 | Press release | Distributed by Public on 05/24/2022 00:10
--To the press -
FRONTEO Inc.
Masahiro Morimoto, President and CEO
2-12-23 Konan, Minato-ku, Tokyo
(Code number: 2158 TSE Growth)
FRONTEO Inc. (Headquarters: Minato-ku, Tokyo, President: Masahiro Morimoto, hereafter FRONTEO) is a natural language processing AI solution that discovers and predicts risks related to safety measures at construction and manufacturing sites."Word Sonar for Accident View"We are pleased to inform you that we have greatly expanded the types and number of occupational accident cases that can be read into, and have improved the functions to detect and analyze the information requested by users with higher accuracy and abundant case presentations.
WordSonar for AccidentView is an AI engine "Concept Encoder (trademark: conceptencoder), which reads a huge amount of text data such as occupational accident data published by the Ministry of Health, Labor and Welfare and daily reports, work reports, accident reports, etc. owned by construction and manufacturing companies. : Concept encoder) "is used to centrally aggregate and analyze, detect risk factors at each work site, predict and present them several days before the occurrence of an accident, and easily utilize them for understanding risk factors and safety measures. It is an AI solution presented in.By analyzing a large amount of data using our proprietary natural language processing AI, we can objectively and comprehensively evaluate risks, implement effective alerts and countermeasures, and reduce the burden of checking and tabulating documents such as daily reports. And so on.Since analysis is performed while capturing the latest data including meteorological data, seasonal data, geographical factors, characteristics of personnel involved in the work, etc., risk level evaluation in response to changes in site conditions and continuous improvement of prediction accuracy are possible. Is possible.
In this expansion of the data source, in addition to the conventional "machine accident database" registration cases, "work accident casebook", "fatal accident database", and "work accident (death and injury) database" will be used for occupational accident cases read by the Ministry of Health, Labor and Welfare in advance. "Hiyari Hat Cases" have been added to the four database registration cases (a total of about 4 cases).This enables users to detect cases that are more similar to the characteristics of their own company and each site, and to identify various potential risks.In addition, even companies that manage their own occupational accident data on a paper document basis and have a small amount of electronic text data for AI to learn can immediately utilize similar data in the cases published by the Ministry of Health, Labor and Welfare. You can start using this solution at.
In the construction and manufacturing industry, the number of fatalities and injuries is on the rise while the working population is declining.According to the Ministry of Health, Labor and Welfare, the number of casualties due to occupational accidents in 2021 over four days off was 4, an increase of 14% in the four years from 6856.1)..According to the Statistics Bureau of the Ministry of Internal Affairs and Communications, the manufacturing industry has the highest number of occupational accident casualties among all industries, followed by the health and hygiene industry, commerce, transportation, and construction.2)..These occupational accidents are often caused by small mistakes and lack of information transmission that could have been avoided with appropriate alerts, so it is important to build a mechanism for prediction and prevention.
WordSonar for AccidentView detects information that leads to disaster prediction, prevention, and business improvement from data that cannot be used in a timely manner at construction and manufacturing sites, and effectively utilizes it to predict the risk of occupational accidents in companies and in the workplace. We support the improvement of safety measures. FRONTEO will contribute to the promotion of workplace safety through the research and development and provision of innovative AI solutions.
1) Ministry of Health, Labor and Welfare: Occurrence of occupational accidents in XNUMXrd year of Reiwa (preliminary figures for March XNUMXth year of Reiwa), https://www.mhlw.go.jp/bunya/roudoukijun/anzeneisei11/rousai-hassei/dl/21-15.pdf
2) Statistics Bureau, Ministry of Internal Affairs and Communications: Statistics of Japan 2022, 29-4 Number of occupational accident casualties by industry and accident type (XNUMXnd year of Reiwa), https://www.stat.go.jp/data/nihon/29.html