[Term of the Day]: Computer Vision
Term of the Day
“Computer Vision”
Definition — What is CV?
Computer Vision, often abbreviated as CV, is a field in computer science that falls under the umbrella of artificial intelligence (AI). The CV technology can process, analyze, and make sense of visual data (images or videos) in the same way that humans visualize. The concept of computer vision is based on teaching computers to process an image at a pixel level and understand it. Deep learning models enable machines to accurately identify and classify objects.
The CV technology may sound simple, well, technology isn’t even though the concept is simple. Object Identification and classifying are challenging in this field. Enabling a machine to see and procedure what it sees like a human is an adamant thing. Not least because we are still learning precisely how human works. It includes solving issues like identification, classification, verification, and detection.
History - The CV technology started to take shape as a field in the 1960s, its aim was to try and mimic human vision systems and ask computers to tell us what they see, automating the process of image analysis. It was only from 2010 onward, there was an acceleration in deep learning techniques. Today computer vision systems continue to move forward By 2022, the computer vision and hardware market are expected to reach $48.6 billion. Many industries have already started using CV technology, few examples are.
- Automotive - Car manufactures like Tesla, BMW, Volvo, and Audi have adopted CV for their self-driving cars.
- Healthcare - They already use CV based machines to analyze X-rays, MRI, CAT, mammography, and other scans.
- Smartphones - Mobile phones use CV for major features such as security like "Face recognization", "Face ID" and more.