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Currently, the average computer vision engineer in the United States makes an average salary of 122,000 dollars. According to the United States Bureau of Labor Statistics, jobs for computer and information research scientists are expected to grow by 15% between 2019 and 2029. However, it is important to note that computer and information research science is a small field. Still, while that figure may seem small, it is important to remember that this is a highly specialized field, and the number of qualified candidates for these jobs remains low too. If you have a newer iPhone model, your phone likely has facial recognition features that help you unlock your phone and set up secure Apple payments. If you\u2019ve used either of these two common examples of this technology, you will know that while they work well, they are far from seamless.<\/p>\n<\/p>\n
Computer vision can distinguish between what is likely to be a fall versus someone kneeling and other voluntary acts that involve being in a non-standing position. By regularly monitoring costly equipment for cracks, changes, rust, and missing pieces, manufacturers can prevent unexpected breakdowns and avoid disruptions in operations. Computer vision can continuously track goods moving along the production line, and identify when a component is the wrong size or angled incorrectly. When a problem is detected, it can trigger an alarm for production crews to resolve the issue proactively. Let\u2019s dive into how computer vision is shaping the future of automation with real-world examples. Becoming a computer vision engineer requires building expertise in a variety of technical areas.<\/p>\n<\/p>\n
Experience with specific projects or publications in the field of computer vision can also be a strong indicator of a candidate\u2019s capabilities. Knowledge and experience in programming languages like Python, C++, and Java is important. These advanced degrees should ideally be in computer vision, artificial intelligence or a related discipline.<\/p>\n<\/p>\n