Computer Vision

A humanoid android with augmented computer vision glasses.

Computer vision is an interdisciplinary field that deals with how computers can be made to gain a high-level understanding of digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do. Computer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the form of decisions. In this view, it is a subfield of computer science, artificial intelligence, and electrical engineering. A number of competitive exams like the GRE now have a section on computer vision. Algorithms used for object detection are also a part of deep learning and machine learning curriculum now. As such,.it has become one of the prime areas for research as well as development. The breakthroughs made in this area have practically revolutionized many areas like medical image analysis, biometrics, surveillance, etc. Many real-life issues have been solved using techniques from this domain and many more are being tackled every day. It goes without saying that this domain has a very promising future.

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Whether you’re a tech enthusiast, a business leader looking to harness AI, or simply curious about how artificial intelligence is reshaping the world, the AI Blog provides a reliable resource to keep you informed and inspired.

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