Manufacturing is changing, rapidly. Pressed by efficiency, and in the middle of a race to embrace automation, an overdue revolution is unfolding, driven by the power of artificial intelligence (AI) and machine vision. The traditional methods of quality inspection, reliant on hard-to-find human expert to manually scrutinizing products, are giving way to a new paradigm that promises to redefine what quality and consistency is in modern Manufacturing plants.
Manufacturing, Sustainability And Profitability: How Deep Learning Can Improve our Environmental Impact This article was originally published on Forbes In
In the fourth of our series of A3 interviews with AI leaders, Max Versace, CEO of Neurala, discusses how integrating deep learning into a facility can benefit the manufacturing industry. Versace, who sits on A3’s Artificial Intelligence Technology Strategy Board, recommends a successful proof-of-concept as a starting point. Check out his advice and case study on using vision AI on reducing error and increasing efficiency on the product line.
Two forces in manufacturing are converging: 1) the need to bring more automation into the system during a time when workers are becoming scarce, and 2) advances in automation tools that do not require original programming. As these forces converge, manufacturers may have the opportunity to improve their production methods at the same time they address labor shortages.
