Computer Vision — A beginner’s guide

Computer Vision is one of the most powerful field of Artificial Intelligence that focuses on designing and replicating the elements of human eye to give machines the power to see different objects, colours and their features in the world.

In simple terms, we can understand Computer vision as the process of training machines with the help of training images by creating a model and then using them for the real life tasks. The simplest example is training a computer to distinguish between a cat and a dog.

Since the last decade, with the increase in the computational power and storage capacity, there has been a great advancement in deep learning and neural nets but still the vision technology lacks everywhere. We have created great high pixel cameras but they are still not being used properly by the machines to see the world and give the desired solution to the problems. We have drones but they are still not trained properly to understand the real life problems and situations. Our smartest machines are great but the machines are still lagging in the vision technology.

Use Cases of Computer Vision:

Face Recognition: As the name suggests, computer vision is used to match the images of the people with their faces. It is being used on a large scale in multiple areas like face recognition for social media login, to identify criminal and law breakers in videos or through cameras, authenticate the device owners, trace people using their photographs, and in…