Data Science

Python is not compulsory for Computer Vision classes but it is very much preferred and is considered the standard programming language for Computer Vision applications because of its ease of use, rich pool of libraries and frameworks and large resource community available online.

So Python proficiency can be a game changer in your career as a Computer Vision specialist. Having said that, other languages like C+ and MATLAB can also be used.

The starting Computer Vision salary for freshers is around INR 5 LPA to INR 7 LPA, which differs based on internship experience (if any), skills, recruiter, job role, and the company location. As a fresher just graduated from college or upon completion of an advanced-level online course, you can get around INR 5 LPA, but with years of experience, you can take home high salary packages because of the potential of this field in this world of AI and automation.

You can look forward to several promising career options with healthy salary packages and skill enhancement opportunities. Some top Computer Vision career options are given below:

• Computer Vision Engineer
• Machine Learning Engineer
• Data Scientist
• AI Researcher
• AI Product Manager
• Robotics Engineer

It is rare to find specific, standalone courses for Computer Vision enthusiasts at the UG level as of now but you can easily find related courses like AI & ML, CSE, Data Science or Robotics Engineering which include class lectures on the basics of computer vision frameworks and fundamentals. You can further take up online certificate courses and be a part of projects or internships for future growth.

For your information, DIT University in Dehradun offers a BTech CSE course with a specialisation in Computer Vision and Biometrics. For more information you can go to their official website and fetch relevant details about the program.

A typical Computer Vision course teaches you about the introduction to computer vision, image processing fundamentals, feature detection, image segmentation, advanced machine learning techniques, deep learning frameworks, motion analysis and object tracking, and programming. Rest; the online course modules differ based on the specific programme opted for by you and the platform offering the course.

You can find the list of some basic technical and soft skills that you will learn after attending Computer Vision classes here:

In our everyday lifestyle, smartphone cameras are used for face unlocking and apps like Google Translate facilitate image-to-text translation in no time. What do you think makes all of this possible? It is nothing but Computer Vision.

Other real world applications include self driving cars for easy navigation and obstacle detection, medical imaging like X-rays and CT scans for disease diagnosis, automated robotic systems in manufacturing and logistics and drone cameras for crop monitoring in agriculture.

Since Computer Vision is in itself a part of AI and is majorly dependent on machine learning fundamentals, some prior basic knowledge of AI is good to have. With basic knowledge of AI you can dive deep into the advanced and more complex understanding of Computer Vision concepts.

Having said that it is not a mandatory requirement for all online Computer Vision courses with certificate. Introductory courses do teach you the basics of AI and ML to provide a strong base before heading towards the world of difficult Computer Vision topics.

Computer Vision is basically a branch of AI that helps computers understand and interpret visual information from images, videos, and other visual inputs, just like any human would do. This means that you can artificially imitate human vision and derive meaningful data in no time. Some examples of Computer Vision applications include medical imaging in the healthcare sector, autonomous vehicles, crop monitoring and spatial analysis, and surveillance systems.