How To Become A Computer Vision Engineer?

For years, scientists and researchers have been dreaming of developing machines that can replicate the actions of humans. They have been trying to imbue computers with the ability to think for themselves and interpret this world that we live in. Thanks to the computer vision engineers as they made all these dreams come true.

So the question remains, Is Computer Vision a good career choice?

In short, Yes.

The field of Computer Vision is booming, with the demand for Computer Vision engineers soaring. There are over 60,000 job postings in the US and 2000+ jobs in India. Top Computer Vision companies like Apple, Amazon, Facebook, Google, and Rockstar Games are always looking for talent. These facts show that computer vision engineer jobs hold great potential in 2022 and beyond. 

Artificial intelligence in recent years has surpassed humans in tasks related to the detection and labeling of objects, owing to data collection. We generate 2.5 quintillion bytes of data created each day at our current pace, but that pace is only accelerating with the growth of the Internet of Things (IoT). Hence it is a great time to enter the field.

 

What is Computer Vision?

 

Computer Vision is an AI technology that aims to replicate parts of the human vision system and creates digital systems that are able to perceive and perform human actions.

There are 3 domains that you can venture into as a Computer Vision Engineer:

• Computer Vision: Computer vision focuses on the underlying algorithmic and geometric concepts. You will study various image processing topics such as image formation, depth and shape recovery, photometry, motion, and classification.  
• 3D Computer Vision: 3D computer vision primarily extracts three-dimensional information from video and image data. You can learn concepts related to 2D images and 3D scenes, including 3D reconstruction, single and multiple-view geometry, and structure from motion.
• Robot Perception: You will focus on developing computer vision models that enable robots to perceive, comprehend, and reason about the world.

 

Computer Vision is used for tasks such as -

• Object Identification
• Object Tracking 
• Object Classification
• Facial Recognition
• Image Classification etc

 

Who is a Computer Vision Engineer?

Computer vision engineers develop complex machine algorithms that can comprehend, analyze, and extract important information from a large stack of visual data. They generally operate on a data-based approach to develop solutions. Here are some of the key roles and responsibilities of a Computer Vision Engineer job-

• Computer Vision model development
• Creating, annotating, and handling large datasets
• Work on code and join hands with domain experts from machine learning and data science
• Training data creation 
• Automating computer vision tasks to get optimal results.
• Prototyping algorithms and testing to articulate/quantify results. 
• Image Restoration
• Motion analysis
• Object recognition
• Scene construction

 

Job Market Opportunities

Computer Vision is a billion-dollar market that has flourished over the past few years. The market is expected to reach $17 billion by 2023. 

Next, you need to understand the skills required to become a successful Computer Vision Engineer. A Computer Vision Engineer salary in India earns between ₹ 2.2 Lakhs to ₹ 22.2 Lakhs per year. The average annual salary is ₹ 8.0 Lakhs.

 

Skills needed for a successful career in Computer Vision

• You should display skills in object-oriented programming skills and a basic understanding of software development concepts and lifecycle since the work revolves around software engineering and development. You need to be well-versed in robust software testing and debugging skills as well.
• Experience in research paper publications and industry-relevant projects is appreciated and is seen as a standout factor. 
• You must be well-versed in implementing languages and libraries like Python, C++, Matlab, R, SQL server, OpenCV, etc.
• You need a firm grasp of linear algebraic principles such as matrix factorization, principal component analysis, dimensional reduction, linear transformation, matrix multiplication, etc.

 

The Way Forward

Gaining the skills required to become a successful Computer Vision Engineer and completing a standout industry-relevant project takes a lot of work. One needs able guidance to build a successful career. That’s where we come in.

Check out our courses to take the next step in your career. Do not miss this opportunity to upscale and become a top Computer Vision Engineer.