[AI Implementation Case] Inspection of Large Machinery Parts

Araya utilizes image recognition technology through deep learning to achieve "AI implementation that can truly be used in business," tailored to the industry's and customers' operational challenges. For high-demand development projects by industry, we can leverage templates (pre-trained models) as "semi-custom AI," enabling relatively quick AI development. Additionally, we also build AI models from scratch as "fully custom AI." We are currently accepting free image diagnostics. Please feel free to contact us.

At Araya, we utilize deep learning-based image recognition technology to solve various business challenges for our clients. Here, we will introduce a case where AI was implemented for the inspection of parts of large transportation machinery. The company that requested our services had a statutory 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 for the visual inspection of large machinery and structures (such as towers and bridges), please feel free to consult with Araya.