International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 1 January-March 2026 Submit your research before last 3 days of March to publish your research paper in the issue of January-March.

Real-time Object Detection Using Deep Learning

Author(s) Mr. S KASHIF KAMRAN NAWAZ, Mr. ABDUL KHADER, Mr. MOHAMMED TAHER, Prof. KRISHNA MEHAR
Country India
Abstract Real-time object detection plays a crucial role in various domains, including autonomous systems, surveillance, and robotics. Deep learning techniques have revolutionized object detection by providing state-of-the-art accuracy and speed. This research presents a comprehensive comparative study of deep learning architectures for real-time object detection.
Keywords Object Detection Using Deep Learning
Field Engineering
Published In Volume 16, Issue 4, October-December 2025
Published On 2025-12-04
DOI https://doi.org/10.71097/IJSAT.v16.i4.9814
Short DOI https://doi.org/hbdsw7

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