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This document contains technical information about "AI × Rule-Based Hybrid Image Processing" related to high-level automated transport technology. We will provide detailed examples of cases where AI struggles with certain processes, the collaboration between AI and rule-based systems, and how differences in shapes can be expressed as variations in feature quantities. Additionally, we will clearly explain examples such as the detection of bent pins and the recognition of individual piece positions, accompanied by images. 【Contents (Partial)】 ■ Example 1: Detection of thin defects through good product learning ■ Example 2: Recognition of individual piece positions ■ Example 3: Detection of bent pins ■ Example of feature quantity extraction: Mesh sheet ■ Application cases ■ What is AI × Rule-Based (Hu-Dra)? We will also be exhibiting at the "39th NEPCON JAPAN (East Hall 2 E15-32)" held at Tokyo Big Sight. [Exhibited Products] ■ Free-angle multi-link ■ 3D sensor ■ HU-CUBE AI inspection ■ One scan multiple triggers We sincerely look forward to your visit. *For more details, please download the PDF or feel free to contact us.