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  5. Visual Inspection Equipment
  6. Achieving high precision with data-centric approach! Appearance inspection AI 'Roxy AI'

Achieving high precision with data-centric approach! Appearance inspection AI 'Roxy AI'

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last updated:Jan 31, 2025

株式会社Roxy
株式会社Roxy
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An AI that has learned inappropriate data is useless. Roxy AI maximizes AI performance by cleaning the data!

*There is an explanatory video, so please take a look.* The AI used for visual inspection prioritizes accuracy above all else. For many of the products mentioned above, the goal is to improve accuracy by adding data or repeatedly tuning parameters until accuracy increases. In 'Roxy AI', we focus on organizing data to achieve high accuracy under the condition of having a limited number of defective samples. In this version upgrade, we have added various features as follows, making it even easier to use and achieving even higher accuracy. ■ Judging the quality of shooting conditions before AI learning Roxy AI detects poor conditions that could negatively impact AI learning before the learning process begins. This minimizes unnecessary trial and error and rework. ■ Automatic data organization The AI can automatically exclude data deemed inappropriate during learning. This eliminates the need for visual checks and reduces the time and labor required for data maintenance. ■ An integrated viewer that allows observation of data from various perspectives, among other features. *For more details, please download the materials or contact us through our website.*

    Visual Inspection Equipment
機能一覧.jpeg

Achieving high precision with data-centric approach! Appearance inspection AI 'Roxy AI'

機能一覧.jpeg
機能一覧.jpeg
  • Related Link - https://roxy-ai.jp/

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It is utilized in a wide range of inspections, including automobiles, home appliances, and food. 【Usage Scenarios】 ■ Detecting various types of defects (such as scratches and discoloration) ■ Detecting foreign objects such as metal fragments, cardboard, and hair that have mixed into the products ■ Detecting products or materials left on conveyor belts and cleaning equipment ■ Other inspections that are generally confirmed visually by humans *For more details, please download the PDF or contact us.

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Roxy_AI_Flyer (Z-fold)

Roxy_AI_Flyer (Z-fold)

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What are the key points for introducing AI visual inspection software, explained through manga?

What are the key points for introducing AI visual inspection software, explained through manga?

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Roxy AI Introduction Materials Ver2.0 Learning Edition

Roxy AI Introduction Materials Ver2.0 Learning Edition

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Roxy AI Runtime (KEYENCE Product Integration) Brochure

Roxy AI Runtime (KEYENCE Product Integration) Brochure

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Roxy AI Introduction Materials Ver1.19 Runtime Edition

Roxy AI Introduction Materials Ver1.19 Runtime Edition

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If you refine the flyer data, the accuracy will definitely improve.

If you refine the flyer data, the accuracy will definitely improve.

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Roxy AI Introduction Materials Ver1.19 Learning

Roxy AI Introduction Materials Ver1.19 Learning

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Roxy AI Introduction Materials Ver2.0 Runtime Edition

Roxy AI Introduction Materials Ver2.0 Runtime Edition

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[Video Available] Appearance Inspection AI 'Roxy AI' Major Version Up!

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High-precision, high-speed appearance inspection AI 'Roxy AI' has undergone its first major version upgrade! With this addition of features, we have lowered the barriers to implementing AI inspections more than ever before, achieving stabilization of inspection process quality and cost reduction. ■ Attention Map A representative method for defect detection is semantic segmentation (hereafter referred to as semseg). High-performance models such as Yolo have been released, and many appearance inspection AI products have adopted them; however, the annotation for semseg is very cumbersome, which has become a bottleneck for implementation. When the boundary between normal and defective is ambiguous, it is even difficult to annotate correctly. With the newly added unique 'Attention Map' in Roxy AI V2, this problem is dramatically improved. There is no need to be conscious of the boundaries between normal and defective; simply clicking on the defective area is sufficient. This achieves semantic segmentation in an overwhelmingly efficient manner. ■ Learning Environment - Significantly improved detection capability of small objects in measurement AI - Official support for RTX 50 series - Support for learning on CPU - Other numerous improvements ■ Runtime Environment - Compatible with KEYENCE's LJ-S8000 - Added a group of workers to flexibly control inspection results

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株式会社Roxy

株式会社Roxy

IT/Telecommunications

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In small and medium-sized enterprises that support a large part of the manufacturing industry, it is difficult to secure engineers who are knowledgeable about AI. Additionally, in environments that are forced to produce small quantities of a wide variety of products, it is not realistic to outsource AI development each time. What is needed now is "AI that can be effectively utilized on-site." "Being able to effectively utilize it on-site" does not simply refer to the ability to easily create AI or to have a user-friendly interface. There are many AI inspection products that focus on finding highly accurate AI through repeated parameter tuning, but we adopt the approach of injecting the know-how of inspectors into AI to create high-quality AI. Roxy AI will cultivate high-quality AI by improving the quality of training data. To enhance the quality of training data, we incorporate unique features such as proprietary visualization technology and tactile feedback. Roxy is an AI inspection product that is closely aligned with the on-site needs, contributing to the improvement of productivity in the manufacturing industry.

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