AI visualizes danger points based on on-site images and videos. It also reflects internal rules, supporting the improvement and efficiency of hazard prediction activities.
At Chino Technology Co., Ltd., we offer the hazard prediction AI "KikenMieru AI." Based on images and videos taken on-site, the AI specifically analyzes potential hazards during work. It supports both still images and videos, allowing for hazard prediction that takes into account changes and movements in different scenarios. Furthermore, by registering the safety rules and unique standards used by various companies in advance, it enables practical analysis in line with company-specific rules, in addition to general hazard detection. By reflecting the different judgment criteria for each site, it contributes to preventing the oversight of hazards, streamlining verification tasks, and standardizing safety awareness. Please feel free to contact us.
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basic information
【Features】 ■ Capable of analyzing danger points from images and videos ■ Responds to hazard prediction based on company standards that reflect internal rules ■ Reduces variability in judgment at each site and streamlines safety confirmation tasks
Price range
P3
Delivery Time
P3
※It depends on the quantity and contract duration.
Applications/Examples of results
【Usage Examples】 ■ Confirming whether construction work is being carried out in compliance with internal rules at construction sites, etc. ■ Utilizing the hazards identified by KikenMieru AI in safety training and the formulation of internal rules.
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Company information
We provide a one-stop solution to meet your company's needs from consulting to implementation. - Automation of routine desk tasks - Labor shortages - Quality control measures - Safety measures (avoiding hazardous and arduous tasks) With our "comprehensive technical capabilities," we offer a wide range of solutions in robotics, AI, and sensing, from clarifying issues to design and manufacturing. We have gained the trust of major companies through our extensive track record.
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