In an exclusive article for Modern Manufacturing India, Raju Rampa – Chief Growth Officer at Innover, outlines how the relentless march of AI and automation can unlock peak efficiency, performance, and productivity for manufacturers. He further asserts that the convergence of these technologies will herald not just incremental improvements but a radical transformation of how manufacturers design, produce, and deliver goods.
Instances of manufacturers failing to meet safety or performance standards can have significant repercussions, encompassing costly recalls, legal actions, high service costs, and reputational damage. Conventional quality control methods are time-consuming, labor-intensive, and susceptible to human error, amplifying the above-mentioned issues. A powerful alliance of artificial intelligence (AI), automation, and computer vision solutions presents a transformative opportunity for quality control. It can empower production lines to leverage robots equipped with AI-powered vision systems to accurately perform intricate assembly tasks. Trained on sophisticated AI models and algorithms, these bots utilize specialized cameras and sensors to capture high-resolution images of products traversing conveyors or processed by robotic arms.
Previously published in Modern Manufacturing India. Read the entire article here.
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