株式会社Roxy Company Profile

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

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

Roxy AI's proud defect detection AI can accurately detect even very small defects and has contributed to the automation of inspections for many customers. However, the defect detection AI struggles with detecting defects that require a wide view of the image and unknown defects, which may not meet your expectations. The newly added good product learning AI excels at determining defects that the defect detection AI struggles with. Since the good product learning AI only learns from good product data, it can be used in environments where defects do not occur. There are three AIs that support the defect detection AI, including the good product learning AI: - Good product learning AI: Detects a wide range of defects, unknown defects, and human errors - Image generation AI: Generates high-quality training data for the defect detection AI - Zero learning measurement AI: Achieves size measurement and count without learning By combining these, flexible and high-precision inspection automation can be realized. A one-month trial is also available. Please give it a try.