Planning on Becoming a Computer Vision Engineer? Here’s what you need to know

A computer vision engineer is an exciting role that has witnessed exponential growth in recent years.

In the world of automation, the path of a computer vision engineer attracts thousands of aspirants. Computer vision technology explores to create understanding and analysis of the visual stimulus, meaning, it concerns analyzing and creating different methods that allow devices to understand any visual information.

Skills required to become a Computer Vision Engineer

A computer vision engineer should understand the use of advanced technologies and software to detect and analyze data populations to support automation and decision-making through visuals. One needs to possess knowledge about the different methods that can be used to analyze, process, and acquire an understanding of digital images. Close familiarity with the programming language Matlab with machine learning skills helps to get ahead in this career path.

Various technical skills like experience with OpenCV, Convolutional Neural Networks (CNNs) can become an added advantage in improving one's chances of getting selected. A computer vision engineer should have a keen interest in algebra, calculus, and statistics with knowledge and experience in programming languages like C++, Java, Python, and others. Other skills required to become a successful computer vision engineer are:

• Ability to develop different image analysis algorithms and deep learning architectures to generate automated solutions.
• Developing clean and reusable codes.
• Ability to design platforms and image processing and visualizations.
• Should possess strong analytical skills and the ability to work with minimal supervision.
• Knowledge about computer vision technology frameworks and libraries.
• And, an ability to perform in a fast-paced working environment.

Strong analytical and critical thinking skills are a plus point to move ahead in this career to solve complex problems for accurate solutions.

Degrees and Experience Required

Several companies look for aspiring computer vision engineers with a bachelor's or a higher degree in computer vision, machine learning, information systems, computer science, mathematics, or other related fields. Many employers look for interns and freshers with undergraduate and master's degrees to develop and grasp knowledge about the skills on the job. Experience in managing and leveraging data sets and in UNIX/Linux command-line tools might become an added advantage. Organizations look for candidates with excellent analytical and mathematical knowledge with remarkable interpersonal skills.

Responsibilities of a Computer Vision Engineer

• Developing and analyzing computer vision and machine learning solutions for critical problems.
• Analyze and improve the efficiency of the previously deployed systems.
• Understanding computational and analytical statistics, geometry, and algebra.
• Proficiency in vector quantization to build search engines and systems.
• Collaborate with other teams to integrate and develop the system prototypes and analytical algorithms and software.

The Future of Computer Vision Technology

Computer Vision Technology enjoys a steady market of US$2.37 million and is anticipated to grow at a CAGR of 47% by 2023. It is a fast-developing field and has attracted the attention of several industries. Different hardware advancements with the emerging deep learning technologies have amplified the growth of the field. The availability of different data sets like ImageNet and Caltech 101 have encouraged vision engineers and advanced practitioners to choose this career path.