How does machine vision contribute to automation? 🔊
Machine vision contributes to automation by enabling machines to visually interpret and analyze objects through image processing. This technology uses cameras and algorithms to monitor production lines, identifying defects or measuring parameters to ensure quality control. Machine vision systems enhance efficiency by replacing manual inspections, allowing for faster and more reliable operations. Industries such as manufacturing and logistics benefit greatly, as they can optimize processes and reduce human error.
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