The human eye is a remarkable organ with the ability to detect 10 million colors. But even the sharpest eye can make a mistake. Relying exclusively on humans to look for defects during the manufacturing process is time consuming, error prone, and difficult to scale.
Computer vision models—machine learning and artificial intelligence (AI) solutions trained to recognize certain objects—can be used to detect surface area defects, but training the AI behind the computer vision demands massive amounts of image data, specialized knowledge, and technical capability.
Learn how AWS and DXC Technology are solving these challenges