Customer Daido Steel
Daido Steel partners with Sentient.io to improve false rejection rates by 10% through an AI Defect Detection System
Established in 1916, Daido Steel is a globally recognised Japanese steel manufacturing company with over a century of expertise.
Initially relying on conventional image classification algorithms, potentially defective products would then be passed through an experimental deep learning system and human inspection. Daido Steel aimed to reduce false rejection rates without compromising on missed detection rates. A solution was needed to optimise their defect detection process and improve overall accuracy.
entient.io leveraged AI technology to develop a powerful defect detection system for Daido Steel. By training the AI algorithm with Daido’s images, it gained the ability to effectively identify and understand defects in Daido’s steel products.
With Sentient.io’s Defect Detection System, Daido Steel saw a 10% improvement in false rejection rates. By minimising the false rejection rates, Daido Steel could avoid unnecessary delays and expenses associated with the rejection of non-defective products.
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