Computer Vision Integrated Website
C S S Krishna Kaushik1, Prathit Panda2, P S S Asrith3, M Patrick Rozario4, Ayain John5
1C S S Krishna Kaushik, Department of Artificial Intelligence and Machine Learning Dayananda Sagar University, Bangalore (Karnataka), India.
2Prathit Panda, Department of Artificial Intelligence and Machine Learning Dayananda Sagar University, Bangalore (Karnataka), India.
3P S S Asrith, Department of Artificial Intelligence and Machine Learning Dayananda Sagar University, Bangalore (Karnataka), India.
4M Patrick Rozario, Department of Artificial Intelligence and Machine Learning Dayananda Sagar University, Bangalore (Karnataka), India.
5Prof. Ayain John, Department of Artificial Intelligence and Machine Learning Dayananda Sagar University, Bangalore (Karnataka), India.
Manuscript received on 21 December 2023 | Revised Manuscript received on 31 December 2023 | Manuscript Accepted on 15 January 2024 | Manuscript published on 30 January 2024 | PP: 20-25 | Volume-13 Issue-2, January 2024 | Retrieval Number: 100.1/ijitee.B978313020124 | DOI: 10.35940/ijitee.B9783.13020124
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Computer vision, Pose Estimation, Emotion Detection.
Scope of the Article: Computer vision