[Case Study on AI Implementation] Achieving High Inspection Quality Independent of Subjective Judgments! Introducing a case where AI was implemented for inspecting parts of large transport machinery.

Achieving high inspection quality that does not rely on personal judgment! Introducing a case study of implementing AI in the inspection of parts for large transport machinery.

At Araya, we solve various business challenges for our customers using image recognition technology powered by deep learning. Here, we introduce a case study where AI was implemented for inspecting parts of large transport machinery. The company that requested our services had a statutory inspection task for parts of transport machinery. Traditionally, workers used endoscopes to conduct inspections on the fine parts that were subject to inspection, but they faced challenges such as "difficulty in maintaining high inspection quality" and "time-consuming processes." To address these challenges, we were able to reduce the overall burden of the inspection work by having AI automatically determine whether the inspection images indicated "normal" or "potentially abnormal and requiring focused inspection." If you are considering the introduction of AI for the visual inspection of large machinery and structures (such as towers and bridges), please feel free to consult with Araya. [Effects After AI Implementation] ■ Maintenance of high inspection quality ■ Reduction in required time *For more details, please refer to the PDF document or feel free to contact us.

• Visual Inspection Equipment
• Defect Inspection Equipment
• Image Processing Software

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