International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Exploring Computer Vision: From Traditional Techniques to AI - Driven Innovations

Shubham Sarang, Flavia Gonsalves

Abstract: This paper presents a thorough investigation into the expansive realm of computer vision, meticulously charting its progression from foundational traditional techniques to the forefront of AI - driven innovations. By meticulously dissecting the historical trajectory, current applications, and impending challenges of computer vision, this study unveils a rich tapestry of insights. Through critical analysis, the paper unveils the transformative influence of artificial intelligence in catapulting the capabilities of computer vision, heralding a new era of perception and understanding. Furthermore, this examination serves to illuminate prospective pathways for research and development, propelling the field towards unprecedented frontiers of discovery and innovation.

Keywords: Computer vision, AI - driven innovations, Traditional Techniques, Applications

How to Cite?: Shubham Sarang, Flavia Gonsalves, "Exploring Computer Vision: From Traditional Techniques to AI - Driven Innovations", Volume 13 Issue 6, June 2024, International Journal of Science and Research (IJSR), Pages: 855-861, https://www.ijsr.net/getabstract.php?paperid=SR24611174902, DOI: https://dx.doi.org/10.21275/SR24611174902

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