What Is Computer Vision?
Computer vision is a branch of artificial intelligence (AI) that allows computers and systems to derive meaningful information from digital images, videos, and other visual inputs. It then acts on or recommends that information. If artificial intelligence allows computers to think, computer vision enables them to see, observe, and comprehend.
Computer vision functions similarly to human vision, except humans have the advantage of lifetimes of context to train how to tell objects apart, how far away they are, if they are moving, and if something is wrong with an image.
Computer vision trains machines to perform these functions, but in a much shorter time, using cameras, data, and algorithms rather than retinas, optic nerves, and the visual cortex. For example, a system trained to inspect products or monitor a production asset can analyze thousands of products or processes per minute, detecting imperceptible defects or issues.
Computer vision is present in various industries, from energy and utilities to manufacturing and automotive. According to Forbes, the market will expand and reach USD 48.6 billion by 2022.
Why Is Computer Vision Important?
Several tasks can be automated using computer vision without human intervention. As a result, it provides several advantages to organizations:
Faster and simpler process: Computer vision systems can perform repetitive and monotonous tasks faster, making human labor easier.
Improved products and services: Computer vision systems with thorough training will make no errors. As a result, high-quality products and services will be delivered more quickly.
Cost-cutting: Because computer vision eliminates the need for faulty products and services, businesses will not have to spend money on fixing them.
Can I Learn About Computer Vision Online?
Online computer vision courses are an excellent way for every level of learner to begin their learning journey. Global institutions and universities offer a variety of programs for both students and professionals looking to upskill or reskill. However, there are specific prerequisites for applying to a computer vision course:
- A solid understanding of Machine Learning and Deep Learning concepts
- Proficiency in programming languages such as Python, C++, and C#
- Knowledge of mathematical concepts such as calculus, linear algebra
What Kind of Career Can I Pursue With a Background in Computer Vision?
Computer Vision Engineering is one of the most lucrative career options for any professional looking to build a career in computer vision. An aspiring computer vision engineer must have the following skills:
- Familiarity with mathematical concepts such as calculus, probability, and statistics
- Capability to use data structures to create codes that represent image characteristics and geometric designs
- Proficiency in at least one programming language, preferably Python