- A method to identify defect factors from inspection data and link them to process improvements -
[Free Participation for Manufacturing Industry] AI Visual Inspection is Not Just "Detect and Done" A Method to Identify Defective Factors from Inspection Data and Improve Processes In manufacturing sites, there are various challenges in the inspection process, such as labor shortages, skill transfer, and variability in visual inspections. While the use of AI visual inspection is advancing to address these challenges, simply determining good and defective products with AI does not lead to process improvement. What is important is to accumulate and analyze inspection data to clarify "when, where, and why defects are occurring." In this seminar, we will introduce the basics of AI visual inspection, analyze the causes of defects using inspection data, and provide methods for improving upstream processes and preventing recurrence, along with specific examples. *For more details, please feel free to contact us.
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Trust Corporation is a professional group that creates the future of finance through technology and community. Based in Chuo-ku, Tokyo, we accompany financial institutions in their digital transformation through AI, data utilization, and IT consulting. We consistently lead support through advanced technologies, such as providing our own developed generative AI products and building data analysis organizations (Centers of Excellence), aiming for transformation in the financial industry.
