2022, Vol. 2, Issue 1, Part A
Image recognition with machine learning
Author(s): Parth Kumar Thakur
Abstract: Image recognition or computer vision is a method that allows machines and computers to parse and piece together relevant information from images. It is a fast-growing field of AI with many real-world applications in robotics, artificial intelligence, self-driving car, surgical tool and much more. Computer vision can also be used to implement and render 3D models from 2D images and automating the rendering process. Massive leaps have been made in the technology allowing for AI to implement real world images within the software. A subset of this is seen in self driving cars, and leading companies like Tesla which allow for quick and efficient image processing in both visual and non-visual mediums like infrared to allow for the cars to navigate through their surroundings on their own. Even with the growth Artificial Intelligences (AI) are far from perfect and are as of yet incapable of beating human cognition, but that day may not be too far away before it arrives. Technological improvements have already made self-driving cars a reality, propagating the value of image recognition and computer. Probes to interplanetary missions will be requiring self-governing AIs due to the lacking capability of instantaneous communication, which makes the field all the more relevant for the future growth and progression of humanity.
Pages: 51-56 | Views: 779 | Downloads: 489
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How to cite this article:
Parth Kumar Thakur. Image recognition with machine learning. Int J Electron Microcircuits 2022;2(1):51-56.
