Computer Vision is a scientific endeavor that aims to automate the human visual system, not necessarily aims to imitate it but emulate all the ability of the human visual system and beyond. So, as is the case with any field which has the potential to change the course of humanity, Computer vision has a lot of history made up of the likes of obsessive human effort, hard problems, victories, failures, and immense hope.

In spite of the complexity of visual scenes in the world around us, Computer vision is now capable of detecting practically any type of object including people, vehicles, and so on. Not only that it can detect objects it can recognize the characteristics of those objects like identity and gestures in the case of humans, deformations/defects in the case of objects, intrusions into boundaries, and much more. This is just a small part of an ocean that is applied Computer Vision.

Computer vision is the visual system for computers to play very strategic games like Go and StarCraft better than humans. It can pave a way for self-driving cars to take automatic actions that don’t so that they won’t run into other cars or people. It seems that Computer vision can do anything as long as we have data and computation. Models learning to classify discriminatively and models that actually learn the whole distribution that generated the dataset both have shown significant progress in solving many real-world problems.

As a matter of fact, we at Akaike Technologies, believe that it can solve a lot of problems as long as we could formulate them. As a deep learning services company, we deployed various applications containing object detection, image segmentation, and machine inspection among others with computer vision. Alongside that, at the frontiers of computer vision, we know what the current limitations are and are ambitious to take the field further towards the collective vision of the community.

Now, we wish to delve into how computer vision evolved to be so successful. How started as an application in itself became a great scientific endeavor. And also what are its limitations and prospects, inclining towards its application to real-world problems around us.