Vision: Chapter 1 - Introduction

Computer Vision Jul 2, 2021
Vision, Perception, Seeing are just synonyms for one of the most fundamental senses of any living being

Time and Time again we have realised that Artificial Intelligence is nothing more than a machine built to mimic Human behaviour.

Teaching methods involving Photographic memory have been proven to be one of the fastest methods of learning for a growing child.

Let's talk a bit about the wonders of our human perception. We humans can persist an image in our brain for 1/30th of a second. Basically that means any set of images shown at a rate faster than this would break our barrier of Persistence of Vision and we would visualise it as a video.

Now let's take the above thought up a notch.

Our eyes are capable of visualising 8K images without any constraints. A single 8K video is easily a minimum of 60GB per minute, on top of that let's just say that it runs at a minimum of 120 FPS (Frames Per Second).

This basically implies that our human eye and brain processes over 100 mb worth of data in 1/10th of a second.

The discussion above brings us to a conclusion that Vision is the most widely available source of rich Data and can help us perceive features for understanding our environment like no other basic sense can.

Now that we know that Vision can provide us with humongous volumes of Data and Perception allows us to learn features from those images to understand and classify object from our nature, the next obvious question is How do we do it?

Well as a part of our previous posts we have explained in detail the steps involved in development of an AI product.

So then what are we exploring in today's article? Well we all are now aware of what are the steps involved to build a product, but do we know What are the type of Products you can build out of Vision?

Computer Vision caters to a plethora of problem statements tackling variety of problems of our daily life. Before we dive in deeper, let's take a look at what mysteries does this technology hold for us in the Future.

STAY TUNED for more on Computer Vision. 😁

Tags

Vaibhav Satpathy

AI Enthusiast and Explorer

Great! You've successfully subscribed.
Great! Next, complete checkout for full access.
Welcome back! You've successfully signed in.
Success! Your account is fully activated, you now have access to all content.