Computer vision is a specialized field of computer science that involves the
design and development of digital devices that can imitate human sight,
understand objects that are in front of them, and act accordingly to meet the
needs of users for a variety of applications. Some of the best-known uses of
computer vision technology include self-driving cars and facial recognition on
smart phones.
Computer vision engineers are creative, analytical problem solvers who
assist with the creation of digital applications that involve computer vision
technology. They have the ability to analyze the needs of users, as well as
the creativity and problem-solving skills to design cost-effective software
programs to meet these needs. Computer vision engineers are detail-oriented
professionals who can work on different components of an application
and ensure those parts work well together. They have interpersonal and
communication skills for collaborating with colleagues and explaining how
products work to customer support and sales specialists.
Computer vision software engineers analyze users’ computer-vision
related needs and collaborate with other engineers and product managers
to formulate product feasibility estimates. They then plan, test, and
develop computer-vision algorithms, or instructions, for creating computer
programs that meet those needs. They design components of devices that
use computer-vision technology and make sure these components work well
together. Although computer-vision software engineers often work closely
with computer programmers, many write code themselves. They conduct
tests to debug, or identify and eliminate defects from the programs and
products they design. Finally, they answer questions which come from sales
and customer support professionals to ensure the satisfaction of users of
computer-vision applications.
Computer vision software engineers typically need at least a bachelor’s
degree in computer science, software engineering, or a related field. Many
positions also require a master’s degree. They need to develop a strong
background in computer programming, or coding, as well as experience in
the industry in which they work. For example, computer vision software
engineers who work on smart phones need a background in digital imaging
and camera development.