Computer Vision Integrated Website

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C S S Krishna Kaushik
Prathit Panda
P S S Asrith
M Patrick Rozario
Prof. Ayain John

Abstract

Computer vision is an integral part of artificial intelligence that empowers machines to perceive the world similar to human vision. Despite its extensive evolution, widespread awareness of its potential remains limited. The goal of the "Computer Vision Integrated Website" paper is to enhance awareness and exhibit the capabilities of computer vision. By creating an accessible platform featuring various computer vision models, authors aim to captivate audiences and drive growth in the field. The paper seeks to illustrate how computers interpret visual information by integrating user-friendly computer vision models into a website. Through practical demonstrations like emotion detection and pose estimation, authors intend to showcase the potential of computer vision in everyday scenarios. Ultimately, authors strive to narrow the knowledge gap between technical advancements in computer vision and public understanding, fostering curiosity and encouraging broader interest in the technology.

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How to Cite
[1]
C S S Krishna Kaushik, Prathit Panda, P S S Asrith, M Patrick Rozario, and Prof. Ayain John , Trans., “Computer Vision Integrated Website”, IJITEE, vol. 13, no. 2, pp. 20–25, Jan. 2024, doi: 10.35940/ijitee.B9783.13020124.
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How to Cite

[1]
C S S Krishna Kaushik, Prathit Panda, P S S Asrith, M Patrick Rozario, and Prof. Ayain John , Trans., “Computer Vision Integrated Website”, IJITEE, vol. 13, no. 2, pp. 20–25, Jan. 2024, doi: 10.35940/ijitee.B9783.13020124.
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