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  6. Detection of unevenness through images: Assessment of floor slipperiness.

Detection of unevenness through images: Assessment of floor slipperiness.

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last updated:Jul 17, 2024

ソホビービー
ソホビービー
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From conventional heavy and large machinery inspections to just one photo! Significantly reduces inspection time and effort.

We would like to introduce a case study of a CSR value (coefficient of friction) measurement experiment conducted using the AI platform service "HAMPANAI AI," which allows anyone to easily create AI models. Wear on station concourses and platforms can lead to slip and fall accidents, so portable slip testing machines have been used to measure slipperiness (CSR value). By collecting image data, synchronizing each data point, and allowing AI to learn and make judgments, we aim to develop a new measuring device using AI. 【Case Overview】 ■Challenges - The machines are heavy, measurement takes time, and they cannot be used during the day. ■Effects - Development of a new measuring device using AI. *For more details, please refer to the PDF document or feel free to contact us.

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Detection of unevenness through images: Assessment of floor slipperiness.

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  • Related Link - https://www.sohobb.jp/hampanai-ai/

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[HAMPANAI AI Implementation Case] JR East Japan Equipment Department

[HAMPANAI AI Implementation Case] JR East Japan Equipment Department

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ソホビービー

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Our company utilizes cutting-edge cloud and AI technologies to support companies in their digital transformation (DX). Since our founding in April 2006, we have been involved in Salesforce implementation and web development for 15 years. In recent years, we have expanded our business to meet the needs of the times, including our own AI platform "HAMPANAI AI" and Shopify development.

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