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All Journal Journal of Information Systems and Technology
Nurul Hidayati
Universitas Amikom, Yogyakarta
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering

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Bridging Vision and Understanding: The Central Role of Computer Vision in AI Nurul Hidayati
Journal of Information Systems and Technology Vol. 1 No. 1 (2025): Journal of Information Systems and Technology
Publisher : Athallah Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64845/jistech.v1i1.37

Abstract

Computer vision has become one of the most critical components in the advancement of artificial intelligence, enabling machines not only to perceive but also to interpret the world around them. This paper explores the central role of computer vision in bridging the gap between visual perception and higher-level machine understanding. By integrating deep learning, pattern recognition, and semantic interpretation, computer vision transforms raw visual data into structured knowledge that supports decision-making, reasoning, and autonomous behavior. The discussion highlights recent progress in image recognition, object detection, scene understanding, and multimodal learning, emphasizing how these innovations drive AI toward more human-like cognition. Furthermore, the paper addresses the challenges of scalability, generalization, and ethical implications, offering insights into future directions for research and applications.
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