Computer Vision

What is Computer Vision?

Computer vision can be defined as a field of study that focuses on developing techniques to help computers see and understand the content of digital images like video and photographs. In the context of computer vision there are various methods in which machines are able to understand and sense their surroundings.

Object Detection

With object detection, the machine is able to sense elements of an image by extracting pixels and running them on a machine learning or deep learning algorithm. One of the most common examples of object detection is facial recognition that is used to secure access to smartphones.

3d Scene Reconstruction

Computer vision algorithms can reconstruct 3d objects from 2d imagery taken from multiple angles to create as realistic of an image as possible. Some of the most popular applications of this technology is seen in interior design and architecture.

Image And Video Pre-processing

Advanced computer vision incorporates neural networks that can perform image transformations which are not available for traditional image processing algorithms for instance the number of trees can be artificially increased on an image without noticing a change by making use of computer vision technology.

Scene Segmentation

By making use of computer vision technology pixels can be isolated and scanned obtaining an image that is very similar to stained glass. This technology will be extensively used in autonomous navigation and radiology to outline cancerous changes in tissue as an example.

Video And Image Context Indexing

Using computer vision can also incorporate machine learning models that are trained to detect objects in photos. These can extract the content and prepare tags automatically which can help to optimize page rank ads and lead generation campaigns.

How Computer Vision Works?

To learn about how computer vision works, we have to see how the human brain works. A human brain is something that relies on the pattern. Every object has a particular pattern that they follow. A human brain will try to decode the pattern. The brain will notice the pattern and based on the pattern it will process the information that is already stored. Computer vision is where the computer is programmed in a similar way. At first, the computer is provided enough data from which we can identify things, and then the computer will use that data to decode the image. The main aim of the program is to analyze the image and provide the result based on the information decoded. This is called pattern recognition. Here the data is identified by the pixels. Each image has many pixels. if we zoom into the image we can see the small boxes and the images and that's what the pixels are. So the computer will first detect the pixels and then find out other details. Once the program has identified all the images it will then process them and this depends on the data provided. 

Applications Of Computer Vision

Some of the computer vision current applications are:

Retail shelf analysis

RTG analysis automatic video tagging

Real estate valuation security systems

Id verification and industrial maintenance.

Conclusion

Computer vision really helps to make life easier. This is a major technology that will transform the future of automation. This domain will help to create new industries and also open new areas of development. This field is already advancing at a rapid speed.