Computer Vision, Data Science & AI

Computer Vision: boundary between human and computer blurred

Written by
YTC Dev
Published on
January 29, 2024

At breakneck speed, we see the boundaries between humans and machines blurring.
Computer Vision plays an important role in this.
But what is Computer Vision?
And why is it so valuable for the future?
Why are the big tech organizations investing massively in this?

What is Computer Vision? Computer Vision is a branch within AI that helps computers understand visual information similar to the human brain.
Computers can analyze images and videos, recognize patterns and detect objects.
For example, Computer Vision allows a computer to distinguish a dog from a human.
The computer has had to learn this, just as we humans have had to.
The computer has seen an extensive collection of pictures showing both humans and dogs.
The images are analyzed and the computer begins to notice patterns and features that are typical of a human and a dog.
These include shapes, colors, textures, but they can also be other visual characteristics.
Once the computer has seen enough images and recognized patterns, new images can be analyzed.
When there are similarities between the visual characteristics of the new image and the patterns the computer has learned from the previous pictures, the computer detects a dog or a person (see image). recognizing computer vision objects The computer’s ability to detect a person and a dog is an example of Computer Vision.
The computer can understand and respond to visual information just as our own eyes and brains help us understand the world around us. Applications of Computer Vision The revolutionary thing about Computer Vision is that computers can now perform complex visual tasks that were previously exclusive to humans.
This not only means time savings and efficiency, but also opens doors to innovative solutions to challenges in various industries. How can you apply Computer Vision in our daily lives? It may seem like a far-off show, but chances are you are already confronted with Computer Vision on a daily basis.
Do you still open your phone with a password?

Face RecognitionForgetPasswords, Say Hello to Face Recognition! FaceID is a very clear example of Computer Vision.
Your phone can recognize your face and give you instant access to your smartphone.
It is just a taste of what is possible with this technology.Medical DiagnosisMaybea life-saving Revolution? In the medical world, Computer Vision can support doctors in diseases and identify abnormalities on medical images such as X-rays and CT & MRI scans.
Diagnoses are quickly detected, which can be vital.
In addition, it allows doctors to always have a second opinion. Autonomous VehiclesTheFuture of Mobility Perhaps 2024 will be the year of self-driving cars that navigate the road safely and efficiently.
This is possible thanks to Computer Vision.
The computer can scan the road and identify obstacles.
This technology has the potential to dramatically change the future of mobility.
The predictions are that traffic will become a lot more predictable and thus safer. Smart CamerasWatchOver Your Safety Security systems and surveillance cameras use Computer Vision to detect suspicious activity or objects and generate instant alerts.
Consider weapons detection, for example. Agriculture and Food ProductionTheGreen Revolution? In the agricultural sector, computer vision is being used to monitor crops, pests and irrigation needs.
This contributes to sustainable and efficient agriculture.
Computer vision is also being used in food production for such things as quality control and sorting of produce, this allows us to enjoy even fresher foods. Generative AIKartificialCreativity Generative AI/ Generative AI has shown us in 2023 that it can create new and original content, instead of just analyzing or reacting to existing data.
Tools such as ChatGPT and DALL-E are being used to turn textual information into beautiful pictures and works of art.
Definitely an example of Computer Vision that is going to amaze us immensely.
Blurring boundaries By investing in this technological revolution, we can contribute to developments and discover new applications that will change our daily lives even more. This is also 1 of the reasons why the big tech giants invest so much, as they want to play a daily role in our lives. The boundaries are blurring more and more. What do you guys think? Where is this revolution headed?Do you want to learn more about Computer Vision? Or specifically explore what Computer Vision can do for your organization? Get in touch with us. Our Computer Vision team will be happy to tell you more.

Questions? Please contact us

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