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  6. Case Study 1 of AI Image Inspection Service: Development of AI for Diagnosing Exterior Wall Crack Images

Case Study 1 of AI Image Inspection Service: Development of AI for Diagnosing Exterior Wall Crack Images

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last updated:Nov 08, 2022

Rist
Rist
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We would like to introduce a case where our AI image inspection service has achieved the refinement, standardization, and efficiency of exterior wall crack inspection operations.

Rist has developed a system in collaboration with Tokyu Livable, Inc., a real estate company, and Japan Home Shield, Inc., which specializes in ground surveys and building inspections, to diagnose cracks in the exterior walls and foundation of used houses based on certain standards using AI. (Patent obtained) 【Challenges】 ■ Since the evaluation is based on visual inspection and judgment by inspectors (humans), there can be variations in the assessment. ■ To ensure inspection accuracy, double-checking is conducted in the back office. ■ To maintain inspection quality, it takes several days from on-site inspection to final evaluation. We have resolved these challenges with our AI image inspection system. *For more details, please download the PDF document or feel free to contact us.

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Case Study 1 of AI Image Inspection Service: Development of AI for Diagnosing Exterior Wall Crack Images

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  • Related Link - https://www.rist.co.jp/service/deepinspection/?utm…

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Image Inspection System "DEEP INSPECTION"

Image Inspection System "DEEP INSPECTION"

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Rist Inc. is a company that develops and provides solutions and products using AI technology, primarily focused on the manufacturing industry, under the mission of "Bringing brilliance to Japan's future with AI." We possess the technical expertise to address the unique challenges of the manufacturing industry and develop custom solutions tailored to our clients' needs, including appearance inspection systems utilizing Deep Learning, data analysis, and predictive models. By mastering new technologies such as Deep Learning, which are being researched worldwide, we continue to challenge ourselves to solve the issues faced by our clients and society through the systematization of tasks that have traditionally been performed by humans and the accumulation and analysis of know-how.

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