In the rapidly changing landscape of automation and artificial intelligence (AI), manufacturers are looking for innovative solutions to overcome their operational hurdles. One such challenge that has been a longstanding pain point is electronic inspection. However, the advent of edge-learning AI promises a new paradigm, simplifying the complexities inherent in electronic inspection processes.
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
Artificial intelligence startup Neurala Inc. today added “explainability technology” to its vision AI software that it says can identify objects in an image that present an anomaly or cause other problems.
While machine vision has been around for more than 60 years, the recent surge in the popularity of deep learning has elevated this sometimes misunderstood technology to the attention of major manufacturers globally.