Computer Vision Is One Of Fancy Technologies That Have Developed And Combining The CV Combined With A.I. Creates Futuristic Technology That Comes To Life.
When we have heard of Artificial Intelligence we think of it as some kind of humanoid which has its own intelligence, can read, write and perform various tasks which usually humans do. We thought of them as humanoid with eyes through which they detect everything. Well, this kind of technology has created and being used in modern times.
CV in our daily Lives
In the late 1960s, the idea of Computer Vision introduced and begun at universities. It’s meant to mimic the human visual system step by step. Researcher studies the function of a human eye and with the help of that researchers were able to bring Computer Vision ideas to life.
Thanks to the advance development in Artificial Intelligence and deep learning/neural networks, this field has been able to take great leaps in recent years. Applications of cV have also had a great impact on the development and the advance. Its applications include mainly autonomous vehicles, object detection and many more.
Above picture depicts the comparison between computer vision and human vision.
COMPUTER VISION VS IMAGE PROCESSING
Image processing mainly depends or focuses on processing raw images to apply some kind of transformation. Usually, the goal is to boost the pictures or prepare them as AN input for a selected task, whereas in pc vision the goal is to pictures. For instance, noise reduction, contrast, or rotation operations, & typical elements of image processing – performed at element level and don’t want a fancy grasp of the image that permits for a few understanding of what’s happening in it.
For a pc, a picture could be a two-dimensional signal, created of rows and columns of pixels. An input of one form can sometimes be transformed into another. In CV, it is much like the process of visual reasoning of human vision; we can distinguish between objects, classify them, sort them according to their size, and so forth. CV, like image processing, takes images as input and gives output in the form of information on size, color intensity etc.
WORKING OF THE COMPUTER VISION
In the field of Machine learning all the theories basically come on how a human brain works, how a human brain recognizes the patterns, but in reality it’s all in theory. Nobody actually knows whether this theory is true or not. So there is always a debate on the working of Artificial Intelligence.
Computer Vision – a program developed to understand the pattern or in easy words “Pattern Recognition”. So a method to coach a pc a way to perceive visual information to feed it pictures, immeasurable pictures thousands, millions if potential that labeled, and so subject those to numerous code techniques, or algorithms, that enable the pc to seek out patterns altogether the weather that relate to those labels.
The way we train a human baby to learn how to speak or write. Same way we train a model/algorithm to learn about the data we feed it. For example we train the model with images of dogs. After we train it, our model will be able to recognize the images of dogs. This method uses neural networks to train the model.
This is how our computer processes the images. The images are divided into a matrix of pixels values which denotes the specific value of that part of the picture. Since it’s a black and white image, there is only one layer. For a colored picture there would be 3 layers that are R-Red, G-Green, B-Blue.
That’s loads of memory to want for one image, and loads of pixels for an algorithmic rule to reiterate over. However to coach a model with pregnant accuracy particularly once you’re talking concerning Deep Learning you’d typically would like tens of thousands of pictures, and therefore a lot of the merrier.
APPLICATION OF COMPUTER VISION
There are many applications of computer vision. It includes Autonomous vehicles, object detection, Facial Recognition and many more. Let’s take a look at some of the industries where Computer Vision has been the most impactful in recent years.
HEALTHCARE
This industry has been most affected by computer vision and computer vision has brought an evolution to the Healthcare industry. Undoubtedly, medical image analysis is the most successful advancement of computer vision. Computer vision helps in detecting diseases by predicting and the previous data that is fed to the model.
Above is the example of Computer Vision with A.I.
AUTONOMOUS VEHICLES
This is also one industry that has been impactful by cV. All of us have knowledge that self-driving cars are now a reality which is only with the help of Computer vision. This includes object detection in images and videos. Plus this also helps in taking control of the traffic.
DEFENSE AND SECURITY
UAVs with cameras – one of the useful tools that have used for security and defense. So cV not only helps in monitoring but also detects any unusual activities.
CONCLUSION
The above content focuses on image classification and the architecture of deep learning used for it. But there is more to explore in computer vision than just classification tasks. The detection, segmentation and localization tasks of classified objects are equally important.
Article By: ANKUR OMER
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