Can Deep Learning Improve My Manufacturing Process?
By applying DL with a Data-Centric Approach, Users Can Streamline Even the Most Challenging Manufacturing Steps with Fast, Accurate Automated Inspection.
A sub-discipline of artificial intelligence (AI), deep learning (DL) has become a breakout technology in high-profile market sectors such as retail and high-tech. Manufacturing has been slow to follow, though, and that’s a situation ripe for change. Operational success in manufacturing hinges on maximizing throughput while ensuring product quality. Here, DL can play a key role.
For years, machine vision has been the go-to tool for optimizing process performance by removing human error from inspection and identification. While traditional vision systems can be extremely effective for suitable applications, in more complex circumstances, their capabilities fall short. Today, DL-based inspection systems can augment and enhance existing machine vision systems, representing yet another tool in the toolbox of the modern-day manufacturer.