Computer Vision Integrated Website

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Published: Jan 30, 2024
DOI: https://doi.org/10.35940/ijitee.B9783.13020124
Keywords:
Computer vision, Pose Estimation, Emotion Detection

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C S S Krishna Kaushik
Department of Artificial Intelligence and Machine Learning Dayananda Sagar University, Bangalore (Karnataka), India
Prathit Panda
Department of Artificial Intelligence and Machine Learning Dayananda Sagar University, Bangalore (Karnataka), India.
P S S Asrith
Department of Artificial Intelligence and Machine Learning Dayananda Sagar University, Bangalore (Karnataka), India.
M Patrick Rozario
Department of Artificial Intelligence and Machine Learning Dayananda Sagar University, Bangalore (Karnataka), India.
Prof. Ayain John
Department of Artificial Intelligence and Machine Learning Dayananda Sagar University, Bangalore (Karnataka), India.
https://orcid.org/0000-0002-6058-1228

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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[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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Vol. 13 No. 2 (2024): Volume-13 Issue-2, January 2024
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[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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