A collection of practical examples of manufacturing DX to resolve "labor shortages" and "dependency on individuals" at the site.
In the automotive industry, quality inspections require high precision to ensure product safety and reliability. Particularly in visual inspections, it is crucial not to overlook minute scratches or foreign substances. Oversights can lead to serious accidents. This document introduces examples of over-detection suppression in visual inspections using AI, contributing to the efficiency and accuracy of quality management. 【Application Scenarios】 - Detection of scratches and foreign substances in visual inspections - Early detection of defective products in the manufacturing process - Streamlining inspection operations in the quality management department 【Effects of Implementation】 - Improved quality through enhanced inspection accuracy - Cost reduction by preventing the outflow of defective products - Optimization of human resources through the efficiency of inspection operations
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【Features】 - Suppression of over-detection in appearance inspection using AI - Inventory optimization utilizing demand forecasting AI - Prevention of defective products through work analysis - Skill inheritance system that verbalizes the "tacit knowledge" of skilled workers - Introduction of six practical use cases directly addressing on-site challenges 【Our Strengths】 Aismiley Co., Ltd. operates one of Japan's largest AI portal media supporting corporate DX, featuring over 500 of the latest AI products and services. We support the optimal implementation of AI to address our customers' challenges.
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IceMiley Inc. is a company that proposes appropriate solutions to solve various challenges faced by businesses through AI. Our job is to connect companies that want to develop and sell AI products with those that want to implement AI and achieve digital transformation, bringing smiles to both sides. Additionally, we operate one of the largest portal media in the country that introduces suitable AI products for companies, referencing numerous implementation and utilization case studies.
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