A major development in machine vision is the increased implementation of artificial intelligence (AI) and deep learning methodologies. These techniques enable machines to acquire knowledge from data, refining their performance autonomously without the specific need for human input. With these advances has come the development of more sophisticated machine vision systems capable of identifying and assessing images or footage with greater accuracy and swiftness. Within industrial automation, AI and deep learning contribute to improving systems designed to identify product flaws, manage inventory, and oversee procedures within a production process.
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