Computer Vision Technologies: Where and Why to Apply?

Computer vision is one of the branches of today’s technological progress that helps businesses to develop and grow. Check out where and why we can apply this technology!

Technical progress develops fast, and with every year we have more and more new technologies and approaches that solve our daily tasks. Even though computer vision technologies originated back in 1960, for more than 50 years they continue to progress and conquer new industries where they can be applied. But in what way now businesses can adopt computer vision? And what important problems can be solved through the agency of it? I studied many interesting articles about computer vision use cases, but all of them show different opinions and various points of views. So, to find the golden mean and figure out where computer vision can be actually applied, I made a comparison review of two articles and ready to share my findings.

One of the articles I chose was a blog post “How Businesses Can Apply Computer Vision” by Redwerk software development company that described the use of computer vision in the modern world and also shared its own experience in the realization of some computer vision cases like building recognition and visual effects placement over objects. The second article was “Solving real-world business problems with computer vision” blog post on the O’Reilly learning company website, that reviewed computer vision from the prospect of the tool for solving actual business problems.

After reading them, first of all, I highlighted three industries where computer vision is widely used. They are:

  • Automotive
  • Media & Entertainment
  • Healthcare

Yet this list is much longer, so today we will talk only about the most promising ones.

1.Automotive industry

 Every day we see hundreds of cars on the roads, but don’t even think that computer vision technologies watch them on each meter. As it was stated in Redwerk’s post, computer vision helps in scene analysis, automated road sign reading, electronic toll and fines collection, and tracking of non-registered vehicles. All information about cars is collected through the optical character recognition on images provided by road rule cameras or other means of observation. Furthermore, modern cars by Tesla, Volvo, Audi, BMW, and Mercedes-Benz use computer vision for perceiving car’s environment, automated lane and vehicles detection to make driving better and help to avoid challenging situations. Have you ever thought about this when driving a car?

2.Media & Entertainment industry

 O’Reilly article said that computer vision could significantly grow the profit of media business by identifying brands. So companies can better position their brands around relevant content. Also, big eCommerce websites use computer vision to let users visually search for items with photos. But that’s not all! From Redwerk’s post, I found out that the leading industry that used computer vision technologies is entertainment! Millions of people are using smartphones with Face ID function that recognizes owner’s face with infrared dots grid projected onto the user’s face and creates a 3D facial map that then is matched with the existed pattern. Furthermore, we all love Snapchat that also identifies our face parts and imposes a certain pattern on them. I think, all this is a computer vision magic.

3.Healthcare Industry

 Among all industries, the great attention I think should be paid to computer vision technologies applied to the healthcare industry, as every day they help to improve and save people’s lives. I think detection, treatment, and prediction of diseases would be impossible without MRI scans and other apparatus, that determine texture, shape, contour in the picture, and provides 3D and 4D information for better understanding of the human body with the help of computer vision technologies. Additionally, computer vision helps disabled people to navigate and control computers with their eyes due to eye tracking systems, as well as make some usual everyday actions like phone calls, typing messages, playing games and using social networks.

All in all, this comparison helps to learn more about computer vision and find out how this technology makes our lives easier every day. However, the implementation of such technology can be challenging, and O’Reilly article clearly describes why, but considering Redwerk’s experience at computer vision and projects they described in their blog post, I am sure that everything is possible! The only thing you need is the qualified team and the idea that can help your business to change the world.

 

 

 

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