An example of the Augmented Reality experience

Computer Vision Tools

AI’s development & its impact on our world is not an unfamiliar concept anymore. As AI continues to take over the internet, our awareness of them grows alongside. Has AI reached its peak? No. Is AI now capable of replacing humans? No. Do we know everything about AI? The answer to that is no as well. However, we learn and we grow. That is one of our most distinctive features, and now we’re implementing that in AI as well. The concept of AI explains itself as a simulation of human intelligence. The development of AI is aimed at making it capable of ‘learning, improvising and growing’ like we do. Although we’re still quite far away from achieving it, we’re making steady progress. Computer Vision is a branch of AI dealing with Visual Data Analysis. We’ll learn more about Computer Vision & its applications in this article. 

Computer Vision Tools, as a term itself, is pretty self explanatory. However, we’re not dealing with its terminology here. Today, we’ll be dealing with Computer Vision Tools as an essential part of artificial intelligence. Although a part of more ‘futuristic’ aspects of AI, it does possess plenty of applications in present times as well. In this article, we’ll tackle the concept of Computer Vision Tools, how they work and what purposes do they serve. As for its definition, Computer Vision is the branch of AI that analyzes visual data to extract information. The visual data mentioned here refers to data in the form of images, videos and other forms of graphic input. It is the field of AI that studies visual data, generates information & uses it as a base for further operations. 

We’ll learn more about Computer Vision tools, how they work, the purposes they serve & much more in this article. So without any further delay, let’s begin.

What are Computer Vision Tools?

Computer Vision is similar to human vision. Both share a similar working principle. Humans use the eyes to capture certain information. It reaches our brain with lightning speed by traveling through nerves attached to retinas. The brain proceeds to analyze that information. Once the brain completes understanding the information thoroughly, it sends out signals to the rest of the body. Our body used the signals from the brain to react/respond to the information our eyes initially captured. This process of absorbing information, analyzing it & then responding to it happens instantly. The working processes of Computer Vision are pretty much similar to that. In the case of Computer Vision Tools, elements like cameras, programs, algorithms & codes replace retinas, nerves, & the brain. Computer Vision Tools employ this process to analyze input data & generate useful output. This output helps us in multiple ways and has plenty of applications. 

Although working on a similar principle, Computer Vision is way behind human vision. The massive difference lies in the speed with which information is tackled. Human vision is several times faster in every operation of the entire process. The reason we process visual data much faster is the centuries of generational context we carry with ourselves. Computer Vision simply fails to compare. 

Computer Vision captures visual data via cameras. Programs, codes, & algorithms do the job of transmission & analysis of the information. Finally, all of it comes together as an output information used to base further operations on. Computer Vision is a branch of AI, and it also trains computers/devices. Machines using Computer Vision are used to carry out a variety of functions based on visual data. There are several tools out there based on the concept of Computer Vision. These Computer Vision Tools have a lot of applications. 

Applications of Computer Vision Tools

In the above paragraph, we discussed the concept of Computer Vision & compared it with that of our own. The reason why Computer Vision Tools stand inferior to our vision is simple. Their speed of transmission of information is several times slower compared to that of ours. Computer Vision Tools need plenty of improvement before they’re capable of handling information like our nervous system does. Despite being significantly inferior to our vision, Computer Vision have some applications exclusive to themselves only. 

Image Recognition

The process of Image Recognition in Computer Vision is quite interesting. It uses the element of distinction to constantly train itself to identify an image. Computer Vision Tools analyze hundreds & thousands of image data of a single object along with included anomalies. This way, they train themselves to distinguish & identify images and objects. The two techniques Computer Vision Tools use to achieve it are deep learning and convolutional neural network (CNN). A highly trained AI model trained in Image Recognition brings great value and functionality. Computer Vision using Image Recognition include some famous names like TensorFlow, PyTorch, Caffe & Clarifai.

Object Detection

Computer Vision have an application known as Object Detection. Cameras are used to capture and store data of a certain environment/surrounding. These tools’ algorithms analyze it in real time. By using techniques like edge detection & pattern recognition, these algorithms proceed to recognize and/or detect objects. Highly trained object detection models are capable of detecting and recognizing an object based on its visual appearance, shape & size. OpenCV, YOLO, MMDetection & Detectron2 are some examples of Computer Vision using object detection.

Augmented Reality

An example of the Augmented Reality experience

Computer Vision attempt to simulate Augmented Reality using the two applications we discussed above, viz. Image Recognition & Object Detection. Augmented reality is all about interaction with the real world, and Computer Vision tools make it an actual accessible reality. It uses techniques like eye tracking and object detection to provide an authentic augmented reality experience. ARKit/ARCore, Unity, Vuforia, social media filters are some examples of Computer Vision Tools using Augmented Reality. 

Computer Vision: Revolutionizing Visual Data

In this article, we discussed Computer Vision and its applications. Although still under development, what it is capable of is already quite impressive. Computer Vision is the branch of AI dealing with generating information based on visual data. A highly trained Computer Vision Tool’s model is capable of surreal actions like Object Detection and Image Recognition. These two applications are of great value in today’s world, and Computer Vision Tools combine them both to create Augmented Reality. With technology constantly aiming to improve AI, we can expect Computer Vision to take the world by awe very soon. We hope you learnt something new from this article. With that being said, we’ll be signing off now. 

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