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Anomaly Detection Expands Use of AI in Defect Inspections

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With the help of new user-friendly tools such as heat maps, vision system operators have greater control in distinguishing good samples from bad — making deep learning more effective for inspection tasks.

BRUNO MÉNARD AND YVON BOUCHARD, TELEDYNE DALSA

The manufacturing industry is being turned on its head as AI and deep learning transform the way goods are manufactured and inspected. The combination of software, new deep learning techniques, the power of parallel processing, and easy-to-use tools is at the core of this transformation. While traditional image-processing software relies on task-specific algorithms, deep learning software uses a multilayer network that implements pretrained or user-trained algorithms to recognize good and bad images or regions. Traditionally, hundreds or even thousands of high-quality, properly...Read full article

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