Computer Vision’s Impact on the Automotive Industry

June 14, 2018

Computer vision, machine vision, or vision technology is an emerging tool that aims to provide expert-level accuracy in identifying objects or classifying them in less than a fraction of a second. This is done by replicating the sensorial systems in living creatures. A sensor captures a representation of the image, then a processing core analyzes it by comparing the input with an existing database. Once the system identifies a good enough match, it makes a decision.

This process performs numerous transformations on the image to make it look like something that it already knows. It can work with colors, brightness, angles or reflections.

The difficulty compared to the way our brain processes images and recognizes objects is that the machine does not actually see anything, it only gets an input of numbers representing brightness, distances, elevation and more. It’s almost like playing charades. By looking at descriptive data, it has to guess what the object might be.

The mind of the computer vision system consists of neural networks, which, through proper training, can learn to recognize various patterns as objects. However, until now the results have been far from perfect.