Computer vision is a branch of AI (Artificial Intelligence) that helps systems and computers to get meaningful information from video, digital images, and many other visual inputs. Then it works to make recommendations and take actions based on the obtained information. AI helps computers to think, whereas computer vision helps them to observe, see, and understand.
It works very similarly to human vision. The only difference is that humans have a head start. Computer vision helps train machines to perform various tasks a human can perform. But, these tasks must be done in less time with the help of cameras, algorithms, and data, rather than optic nerves, retinas, and visual cortex.
Computer vision is a new technology and is scaling up aggressively. One can get a computer vision course to learn it properly. One can also do a master’s in computer vision online. There are many universities and colleges which are offering this course online too.
What does one get to learn?
There are many things to learn about computer vision. In a master’s course, one can learn the following things: –
- Image classification
One can learn to use a machine to see an object and classify it as a dog, human, apple, or anything. It helps in accurately predicting that an image belongs to a specific class.
- Object detection
With the help of this course, one can also learn how to detect and tabulate the appearance of an object in an image or video with the help of image classification.
- Object tracking
It helps in tracking an object after it is detected. It is often performed with the help of the images captured or the real-time video feeds. An example of object tracking is autonomous vehicles.
- Content-based image retravel
This aspect of the course uses computer vision to search and retrieve images from the data stores according to the content of the images. In addition, it helps to incorporate automatic image annotation.
Hence, these are the few new-age concepts one gets to learn with the help of computer vision courses. Also, one can learn image-based internet searches, visual product identification, human-computer interfaces, and street-view-related applications. This field is advancing rapidly and will continue to expand in domains of great societal value.
What are the goals of this course?
This course provides intense courses consisting of current and emerging state-of-the-art computer vision topics to help students get a promising career. Also, the other goal is to provide hands-on experience to the students addressing varied applications of computer vision. Some courses also assess the students through presentation, demonstration, and final project report.
Hence, a computer vision course helps get in-depth knowledge of the field. Also, one gets to use its fundamental development tools, conduct experiment analysis, apply mathematical and machine learning (ML) tools (like geometry, statistics, and optimisation), and implement the computer vision techniques clearly and concisely. Also, one can opt for a power electronics course along with computer vision. Power electronics will help learn power processing circuits like AC voltage controllers, frequency converters, rectifiers, and many more.