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  3. 株式会社Roxy
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株式会社Roxy

EstablishmentApril 2020
addressAichi/Iwakura-shi/44 Higashimachi, Iwakura City
phone05036491414
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last updated:Jul 11, 2025
株式会社Roxylogo
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株式会社Roxy List of News Articles

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  • Publication year : 2025

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2025-07-14_11h43_55.png

[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

Jul 14, 2025

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2025-01-31_09h51_23.png

The appearance inspection AI "Roxy AI" has been upgraded to version V1.19!

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The high-precision, high-speed appearance inspection AI 'Roxy AI' has been upgraded. 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. ■ Learning Environment - Added model stability check function - You can understand the stability for each label - You can pre-check resistance to changes in imaging conditions - Added support for measurement AI that can be used without learning - Enhanced alignment function - Enhanced data cleaning function ■ Runtime Environment - Supports ModbusTCP through PLC integration ■ Common to Learning and Runtime - Supports USB dongle licensing

Jan 31, 2025

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