The Camera, Transformed By Machine Learning

This article introduces the AI and ML movements into the field of Computer Vision, and more specifically in Cameras. Before 2010, some of the best performing Vision algorithms operated on code written and reasoned by humans. With the rise of AI, autonomous systems capable of understanding patterns among thousands of pieces of data were able to outperform some of the best human algorithms, thus introducing AI into the Vision world.

Now with intelligent vision systems, the operator has less responsibility when taking a photo, and can leave the camera to do more work. The role as an operator should be to have the creative freedom to decide on a photograph when taking it, and the AI should only interfere to enhance the photo if the operator requests it (sometimes AI can make a photo worse). We are currently at the point where operators and cameras work together, but we very well may be entering a future in which cameras can make most of the decisions when taking a photograph.