International Journal of Computer Techniques Volume 12 Issue 4 | COMPUTER VISION ARTIFICIAL INTELLIGENCE: PROGRESS, USES, AND FUTURE PROSPECTS
Computer Vision Artificial Intelligence: Progress, Uses, and Future Prospects
Authors:
K. Suriya, Viji Parthasarathy, T. Kavitha, V. Kiruthika, S. S. Nachiya
Department of Computer Applications, Shrimati Indira Gandhi College, Trichy, India
Emails: surik.mca@gmail.com, vijiparthasarathy@sigc.edu, kavitha@sigc.edu, kiruthikav@sigc.edu, nachiya@sigc.edu
Journal: International Journal of Computer Techniques (IJCT)
Volume: 12 | Issue: 4 | Publication Date: July – August 2025
ISSN: 2394-2231 | Journal URL: https://ijctjournal.org/
Abstract
This paper explores the transformative impact of artificial intelligence on computer vision, emphasizing deep learning techniques such as Convolutional Neural Networks (CNNs). Applications span autonomous navigation, medical imaging, facial recognition, and object detection. The study reviews foundational AI models, current industry uses, adoption challenges, and emerging trends including Edge AI and explainable systems.
Keywords
Computer Vision, Artificial Intelligence, Deep Learning, Convolutional Neural Networks, Edge AI
Conclusion
AI-powered computer vision continues to revolutionize industries. While deep learning and large datasets drive innovation, challenges like data bias, generalization, and ethical concerns must be addressed. Future advancements in Edge AI, multimodal systems, and interpretable models promise even greater impact across sectors.
References
Includes 10+ references from NeurIPS, IEEE CVPR, IJCV, and MIT Press covering CNNs, object detection, semantic segmentation, and GANs.
