Computer Vision is a scientific field of study regarding how computers and systems gain understanding from visual inputs, such as digital images and videos. Based on the information of these observable inputs, the computer or system takes the best course of action.
The primary goal of computer vision is to understand and perform tasks as the human visual system can. This typically involves understanding the content of the visual input according to the context and deriving action from it.
How Does Computer Vision Work?
Computer vision needs a lot of visual input data to work on. It analyzes this data repeatedly to recognize and distinguish visual input, for example, images.
It uses two essential technologies to function: Deep Learning and Convolutional Neural Networks (CNN).
Deep Learning
Deep learning uses algorithms developed by expert programmers that enable a computer to teach itself regarding the context of the visual input. These algorithms allow the computer to learn by itself instead of manually programming the computer to recognize patterns.
The computer is trained on a massive amount of visual input to find and recognize patterns. As a result, the computer can accurately identify patterns and detect specific objects from visual information.
Convolutional Neural Network (CNN)
A CNN is a model in machine learning that extracts features in a digital image. Like deep learning, it learns from inputs and adjusts its processes to predict the visual input. A CNN recognizes shapes in a digital ai image processing then fills in information regarding the figures, eventually coming to a prediction.
The neural networks run convolutions to check the accuracy of the prediction until the prediction is verified. A CNN, unlike other technologies, is used to understand a single image at a time instead of multiple images.
Benefits of Computer Vision
Computer vision is an advanced technology that can automate tasks without any human intervention. Consequently, it provides quite some benefits.
Faster and Simpler
With computer vision, computers and systems can perform monotonous tasks at a quicker rate. Tasks that would otherwise take humans a lot of time take seconds for computer vision to complete. This significantly simplifies work for you as it saves both resources and time.
Reduced Cost
With computer vision doing the bulk of the work, you will not have to invest capital in other resources and tools to help your organization. Errors will be minimized, leaving no room for using other applications or services.
Accuracy
Computer vision systems are developed by algorithms; hence the tasks performed by computer vision are impeccable. These algorithms are spot-on and minimize any chances of errors.
Furthermore, computer vision also applies self-learning in the form of deep learning mechanisms. If the computer vision system makes any mistake, it reviews it and learns never to repeat it.
Limitations of Computer Vision
Constant Monitoring
Although computer vision works primarily by itself, there is still some need for human moderation. If a computer vision system fails or breaks down, it has to be immediately tended to. Thus, a team of technical experts needs to be hired to monitor computer vision constantly.
Lack of Technical Experts
Computer vision is a complex technology that meddles with Artificial Intelligence. For this reason, a group of technical experts is necessary to develop algorithms so that the computer vision system functions appropriately.
These computer vision specialists must have deep knowledge and understanding of programming and algorithms. The lack of such specialists makes it quite challenging for companies and organizations to operate computer vision in their systems.
Viruses
Viruses are a menace to computer vision programs. A system can break down at any moment, and the computer vision may fail to function at all. If such virus attacks are not prevented, you may not be able to implement computer vision in your systems and programs.
Why is Computer Vision Important?
Computer vision has played a significant part in our lives. With its various implementations across many industries, computer vision has revolutionized nearly every sector. Mainly, enterprises are trying to improve their systems by implementing computer vision technology. This makes their businesses more efficient and streamlined.
It provides computers with visual capabilities to help them make better decisions faster and efficiently. Computer vision is increasingly implemented globally in various industries, typically in healthcare systems, manufacturing, assessments, and theft detection.
Conclusion
Computer vision is a popular topic in the Artificial Intelligence sector. It has revolutionized the way we think of technology and has drastically improved and simplified our lives. While computer vision has some downsides, you cannot ignore its vast potential if implemented correctly. And it will only enhance and become more intelligent in the coming years.
