02. Computer Vision in Industry

Spatially Coherent Data

One cool thing about computer vision, is that the techniques that we will learn about, need not only be used with camera images - but also images created with other sensors. So those techniques that you will learn, will be useful for any data, that has what we call, “spatial coherency”.

And spatially coherent data can be thought of as any data that predictably varies over space, like sound, for example. If you hear sound from a speaker close up it will sound very loud, but the farther you get away, the softer the sound will get. And so the volume of a sound can give you spatial information!

Examples of Computer Vision Applications

In general, computer vision is used in many applications to recognize objects and their behavior. Below are some examples.

** Self-Driving Car**

Computer vision is used for vehicle and pedestrian recognition and tracking (to determine their speed and predict movement).

** Medical Image Analysis and Diagnosis**

An AI system, using computer vision, can learn to recognize images of cancerous tissue and help with early detection and diagnoses.

Photo Tagging and Face Recognition

Computer vision can be trained to recognize and tag (or label) faces or different features in any given photo library. This is already a feature that many of our phones have!