K-SAFE

Predict the danger of work to be done at the construction site

Analyze employment accident cases of the Ministry of Health, Labor and Welfare and enhance KY activities

Click here for the press release of Kajima Corporation

Overview of K-SAFE


01 Utilization of Ministry of Health, Labor and Welfare data


Various occupational accidents, large and small, occur at construction sites. The Ministry of Health, Labor and Welfare publishes information on https://anzeninfo.mhlw.go.jp/ . K-SAFE can comprehensively load, analyze, and utilize the information of the Ministry of Health, Labor and Welfare's open data (about 64,000 cases) to capture occupational accidents from multiple perspectives. * As an option, past cases of users can be imported into K-SAFE.

02 Adopts original Japanese analysis method


K-SAFE has a function to intuitively grasp accidents related to work by sorting and organizing work expressions, cause expressions, and accident expressions from unstructured occupational accident occurrence status sentences.

* Joint patent pending with Kajima Corporation

03 You can do KY activities based on your work


At K-SAFE, the user inputs the details of the work to be performed at the construction site, and the disasters that occur in similar work are searched and analyzed by the AI ​​engine developed independently, and the possible risks are determined by the frequency of occurrence and accidents. We will call attention according to the severity of. The aggregated results can be output as PDF for meeting materials and for contacting partner companies.

04 Easy-to-use UI


Depending on the situation at the site, K-SAFE can be used not only in the office at safety meetings, but also on smartphones and tablets for on-site guidance. While the input is simple, the output can be easily selected in various formats such as factor-based graphs and time-series display. Case data for which you want to know the details can be drilled down by intuitive operation, and the detailed contents can be referred to smoothly.