[AI Implementation Case] Inspection of Large Machinery Parts

Towards high inspection quality that does not rely on personal judgment! Introducing a case of implementing AI for inspecting parts of large transportation 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 transportation machinery. The company that requested our services had a legal inspection process for parts of transportation 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." For inquiries about the introduction of AI in 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 materials or feel free to contact us.

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