Think Different

  Introduction: In modern industrial production, ensuring the quality of products is paramount. Traditional methods of inspection involve human inspectors, but with advancements in machine learning and artificial intelligence, custom models are now capable of detecting defects and anomalies in images. This article explores the application of machine learning in visual inspection, discussing its benefits for manufacturers across various industries. It delves into how AI-based visual anomaly detection is becoming increasingly popular in the world of manufacturing. Traditional Inspection on Production Lines: Historically, manufacturers relied on human inspectors to monitor product quality. As production volumes increased, human inspection became inadequate, leading to challenges in maintaining consistent quality. Introduction of Automation for Anomaly Detection: Automation was a significant leap forward, allowing manufacturers to increase production volumes without compromising qualit...