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  6. Engineer Challenge 2: "The cost of adopting the latest technology is high."

Engineer Challenge 2: "The cost of adopting the latest technology is high."

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last updated:Oct 03, 2022

Rist
Rist
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Solve the challenges of AI development faced by AI engineers with our AI development tool specifically for appearance inspection devices, "RPipe-Image"!

By equipping a wealth of features and parts, we significantly reduce development man-hours. Rist has achieved a tenfold reduction in man-hours. The interface, specialized for integration with devices, allows for smooth embedding. 【Features】 ■ Always equipped with cutting-edge and abundant AI algorithms ■ Capable of executing various tasks with a unified format configuration file ■ Detailed settings available for various AI components ■ High-precision parameters set by default ■ Easy integration with external systems and operation from external systems *For more details, please download the PDF document or feel free to contact us.

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Engineer Challenge 2: "The cost of adopting the latest technology is high."

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  • Related Link - https://www.rist.co.jp/service/rpipeimage/?utm_sou…

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Tools for developing AI for visual inspection in-house 1. To enable the know-how gained from various projects to be utilized in other projects, even if the personnel in charge are different. 2. To efficiently create a baseline model that does not depend on the skills of the project personnel. 3. To achieve operational efficiency (reduction of man-hours) and stabilization of quality (accuracy).

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Rist

Rist

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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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