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  5. Visual Inspection Equipment
  6. Benefits of Introducing Roxy AI

Benefits of Introducing 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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Not just cost reduction! Various benefits of automated inspection.

Transitioning from visual inspection to automated inspection offers many benefits beyond cost reduction. ■ Labor Savings - Freeing valuable personnel from simple tasks and shifting them to higher value-added work - Improving the 'crowded' environment of inspection areas - Preparing for the impending labor shortage in the near future ■ Stabilization of Inspection Quality - Eliminating variations among inspectors to stabilize inspection quality - Eradicating human errors that inevitably occur - Reducing excessive detections that tend to occur as inspectors gain experience ■ Increased Operation Without Relying on Human Labor, Horizontal Expansion - Achieving 24/7 operation - Realizing horizontal and overseas expansion by AI-izing the experience of skilled inspectors ■ Improvement of Manufacturing Processes Without Relying on Memory - Accumulating inspection evidence that serves as a reference during problem occurrences The benefits mentioned here are not limited to Roxy AI, but with Roxy AI's high speed, high precision, ease of learning, and easy system integration, these benefits can be maximized.

    Visual Inspection Equipment
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Benefits of Introducing Roxy AI

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  • Related Link - https://roxy-ai.jp/

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Roxy AI Introduction Materials Ver1.19 Runtime Edition

Roxy AI Introduction Materials Ver1.19 Runtime Edition

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Roxy AI Introduction Materials Ver1.19 Learning

Roxy AI Introduction Materials Ver1.19 Learning

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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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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_Flyer (Z-fold)

Roxy_AI_Flyer (Z-fold)

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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 Introduction Materials Ver2.0 Runtime Edition

Roxy AI Introduction Materials Ver2.0 Runtime Edition

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Organizing data from various perspectives.

"Roxy AI," which realizes the automation of visual inspections, has been upgraded to version V1.13! An AI that has learned from inappropriate data is useless. Roxy AI maximizes AI performance by cleaning the data!

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The AI used for visual inspection places the utmost importance on accuracy. Many visual inspection AI products aim to improve accuracy by adding data or repeatedly tuning parameters until accuracy increases. To achieve high precision under the condition of having a limited number of defective samples, Roxy AI emphasizes data organization. In this version upgrade, various features have been added to make it even more user-friendly and to achieve even higher accuracy. - Judging the quality of shooting conditions before AI learning: It is often discovered after trial and error that the reason for low AI accuracy was poor imaging conditions. Roxy AI detects adverse conditions that could negatively impact AI learning before the learning process begins, minimizing unnecessary trial and error and rework. - Automatic data organization: There is no need to manually check large amounts of data thoroughly. By automatically excluding data deemed inappropriate by the AI during training, the time and labor required for data organization are reduced. - Additionally, an integrated viewer that allows observation of data from various perspectives, among other features.

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Roxy AI has been upgraded to version 1.11. Achieving even higher accuracy!

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We have released Roxy AI V1.11. Various features have been added to achieve further improvements in accuracy and usability. - Added image integration feature (patent pending) The image integration feature is very effective when using KEYENCE's LumiTrax to capture and inspect multiple types of images (such as shape images). It allows for annotation, learning, and inspection of multiple types of images at once, improving accuracy, shortening inspection time, and reducing the effort required for AI creation. - Added new AI model Compared to previous AI models, accuracy has been further improved. The inspection speed remains high, similar to previous AI models. - Enhanced detection capability for unknown defects Roxy AI can detect not only learned defects but also unknown defects. In this version, the detection capability for unknown defects has significantly improved. - Added variations for data organization Data organization is a feature of Roxy AI. In this version, we have enhanced functions to extract and organize inappropriate data during learning, as well as boost functions to strengthen weaknesses. - Additionally, many features have been added that contribute to improved accuracy and usability.

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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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