Evolving the quality control process with Custom Vision

Computer vision as a discipline has made some amazing strides in recent years to help augment (or enable the augmentation of) human sight. Applications for facial recognition, description of images, and initial sensors being used for self-driving cars have become everyday technology, just to name a few common examples. In the case of self-driving vehicles, computer vision can be used to detect objects in the road, street signs, and the curvature of the road, which then sends signals to the appropriate action by the brakes, accelerator, and so on. However, the origins of computer vision date back to the early 1960s, when a key component of AI systems being developed at universities robots to “see” what was in front of them and respond appropriately. Clearly, the original vision proved to be a bit more challenging than originally anticipated, as those original pioneers would be in their 80s and 90s at their youngest...