Computer Vision – A Brief Guide

Computer vision is essentially a subset of Artificial Intelligence that deals with computers or systems gaining understanding from visual inputs in the form of images or videos. 

These computers are trained to perform several functions with the use of algorithms and data, based on the understanding gained by the visual inputs. It can also analyze these inputs and point out any defects or issues in them in less than a minute. 

To function, computer vision needs a lot of data beforehand to analyze it repeatedly. Then, it uses algorithms developed experts to teach itself regarding the data of the visual inputs provided to it. In a nutshell, computer vision applies the method of self-learning through the algorithms programmed into it by engineers. 

Advantages of Computer Vision

Computer vision can perform difficult and monotonous tasks at a quick pace, which would otherwise be impossible for humans to carry out. 

Furthermore, computer vision is algorithm-backed, hence work is impeccable, with no mistakes. The algorithms programmed into computer vision are spot-on, with maximum accuracy.

Moreover, computer vision is extremely reliable. These computers can more or less function themselves with little to no human intervention. Given that the software and the algorithms are error free.

Additionally, computer vision saves an organization’s time and resources that can be re-invested elsewhere. With computer vision doing the bulk of the work, less employees are needed, hence less capital is invested. 

Disadvantages of Computer Vision

Now that you know some of the advantages of computer vision let us take a look at some of its disadvantages.

One of the major drawbacks of computer vision is the need for expertise. Experts are needed to maintain and operate these specialized computers. These experts must develop algorithms, and they must have a deep understanding and knowledge of this field to operate such complex software. With the absence of such technical experts, it becomes difficult for companies to operate use such of kind of tech.

Moreover, there is a need for regular monitoring. As you already know computer vision works by algorithms hence there may be glitches or breakdowns within the algorithm or the system altogether. 

These glitches are a hurdle to the continuous service and ease provided by computer vision. Therefore, there has to be a team of moderators ready to evaluate such a problem and deal with it. 

In addition, there is the looming threat of viruses or other software issues. The device may stop working due to a virus, and the computer vision may fail to operate. If the virus is not treated, computer vision will not be able to function on any device.

Applications of Computer Vision

Computer vision is just about anywhere you can think of. The examples listed below highlight some of the most common day to day applications of computer vision.

Most notably, Google Translate. Google Translate allows its users to point the camera of a device to a written piece of language. Consequently, the piece of writing is translated to any desired language.

Your favorite Snapchat filters also use computer vision to give you the looks you desire. From your favorite colorful flower crowns to cute dog ears, Snapchat allows you to alter your face through computer vision. It analyzes your face in a matter of seconds, taking in your features and the structure of your face. Then, the algorithm, which runs the computer vision on Snapchat, transforms your face to your desired filter. 

Another notable example is Ai image processing by Amazon Go, which is a wonderful combination of an app and a store. It allows you to simply walk in the store, pick what you need, and walk out of the store, without even bothering the cashier!

 It uses computer vision to keep track of the stock in the store and every customer to ensure security. The cameras and sensors, with in-built computer vision, locate and connect everyone to their Amazon account, while also keeping track of every product or item they are buying. 

When they are done with their shopping, they can simply walk out the door without having to wait in a long queue for their turn at the register. 

Conclusion

Computer vision is a significant improvement in technology, particularly in Artificial Intelligence (AI). It has revolutionized the humans in general think about tech. 

With such advancements, self-driving cars are also a possibility in the near future. In such a scenario computer vision would play a dominant role in it. However, for self-driving cars to function and operate properly, very advanced, and technical algorithms must be developed by engineers, even so it’s still nothing too big to dream about. 

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