Computer Vision and Techniques

Computer vision has been around for more than 50 years but recently we see a major resurgence of interest in how machines ‘see’ and how computer vision can be used to build products for consumers and businesses. Few examples of such applications are- Amazon Go Google Lens Autonomous Vehicles and Face Recognition. The key driving factor behind all these is Computer Vision. In the simplest terms Computer Vision is the discipline under a broad area of Artificial Intelligence which teaches machines to see. Its goal is to extract meaning from pixels. From the biological science point of view its aims are to come up with computational models of the human visual system. From the engineering point of view computer vision aims to build autonomous systems which could perform some of the tasks which the human visual system can perform (and even surpass it in many cases).