If I ask you to identify and name things around you, You will answer them in no time because the things are not new to your mind and you can easily identify them. But have you ever thought about how your mind does so. Basically, our minds are trained through constant experiences of interacting and understanding different things around us that’s why we can easily recognize them.
For the past many years, scientists were trying to develop computers with characteristics of human intelligence to see and understand as humans do. The idea came into action with the name of Computer Vision. By the implication of Artificial Intelligence and innovation in Deep Learning and Neural Networks, the technology of Computer Vision has taken a breakthrough all over the world and is continuing to do so.
In this article, I’ll let you know what is Computer Vision, how it works, and will discuss some of its applications. So let’s get started!
What is Computer Vision?
Computer Vision is the field of AI that enables computer and digital systems to understand and recognize the visual world as humans do. It made the whole world think about changing their ideas and perception by providing innovative ideas. It allows computers to extract and process valuable information from images, videos, and other visuals to identify and classify object attributes and make predictions based on that.
Computer Vision works the same as Human Vision. But firstly it needs to be trained with massive amounts of data to identify and put a name to Object just like human minds are trained to do so The main goal of Computer Vision is to enable computers to identify objects correctly and efficiently. Let’s get dwell on some deeper insights.
How does Computer Vision Works?
Computer vision allows computers to perform a variety of tasks like Image segmentation, pattern recognition, object classification, object detection, and facial recognition. Computer Vision acquires excessive amounts of data and repeatedly performs analysis on that. The iteration continues until the images are recognized.
Deep learning, a subfield of AI, and Convolutional Neural Networks are used to accomplish Computer Vision tasks. CNN works by dividing images into pixels and assigning them each a label to perform convolutions (mathematical operations) to make predictions. Multiple iterations are performed until predictions start coming true and it recognizes images. The CNN model works on a single image while the Recurrent Neural Network(RNN) works for the video to help computers understand how pictures are related in a series of frames.
Applications of Computer Vision
Computer vision is used across different industries in such a way that it has evoked new innovations in industries from detecting early signs of cancer to tightening security through object detection in cameras. Here are some computer vision applications to learn how it is knocking the world.
We came across different types of security cameras and sensors on daily basis. These are designed by using different types of Computer Vision techniques. It provides a deep insight into public spaces, workplaces, and other important places where they are installed. It collects real-time information from the video and performs Face Recognition and Object Detection to detect criminals and other crime-related activities.
Computer Vision is taking part in different areas of education like attendance monitoring, and school logistics, It helps teachers to keep track of students through real-time automated attendance and improve their behavior in a class by estimating their poses. There are specially designed products that help the education industry to revamp its educational processes through automation.
Computer Vision is used in different types of tracking systems designed for the decision-making process usually by umpires and coaches by detecting and tracking the movement of balls on the ground. Moreover, different Coaching Solutions leverage the idea of sports analytics by helping coaches to monitor and improve the performances of the players by showcasing different pose estimation techniques.
The field of Computer Vision is diving deeply into the automotive industry by developing self-driven cars that can keep track of their surrounding by detecting cars, street lights, and object around them to make their flow smooth and avoid accidents to safely deliver passengers to their desired destination. Also, tracking systems help to find out the location of the vehicle by Real-time Object Detection.
Media & Entertainment
Computer Vision has come up in a very interactive manner by advancing the scope of digital media through augmented reality. It helps the media industry to make users visualize things innovatively with advanced graphics and also increases their level of engagement. It is used in the entertainment industry to help dance coaches teach and improve students’ dance steps by implementing different pose estimation techniques.
Computer vision is also playing a vital role in the medical sector. It helps medical staff to detect cancerous cells in the skin through image processing. CV is deeply indulging in radiology, pathology, and ophthalmology departments to perform X-rays, and MRIs to scan different diseases quickly and confidently. These applications have sped up the process of medical centers.
That’s it, folks! In this article, I have shed light on some basic concepts of what is Computer Vision, and how it works, I have also discussed some real-life examples of Computer Vision and how fast it is emerging in the world. Computer Vision is the art of turning machines to think and see as humans do.
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