Computer vision is the theme for this year's AI Village. Computer vision is a form of artificial intelligence where computers can “see” the world, analyse visual data and then make decisions from it or gain understanding about the environment and situation. One of the driving factors behind the growth of computer vision is the amount of data we generate today that is then used to train and make computer vision better. Our world has countless images and videos from the built-in cameras of our mobile devices alone. But while images can include photos and videos, it can also mean data from thermal or infrared sensors and other sources. Along with a tremendous amount of visual data (more than 3 billion images are shared online every day), the computing power required to analyse the data is now accessible and more affordable. As the field of computer vision has grown with new hardware and algorithms so has the accuracy rates. In less than a decade, today’s systems have reached 90 percent plus accuracy from 50 percent making them more accurate than humans at quickly reacting to visual inputs. We will demo some real world use cases of Computer Vision in various domains of the industries.