ItemConference Paper

An Optimized Convolutional Neural Network Model for Real-Time Object Detection in Drones

Title
An Optimized Convolutional Neural Network Model for Real-Time Object Detection in Drones
Creator
Singh, Ujjwal Kumar; Raj, Aryan; Anand, Amritesh; Baghel, Neeraj; Sharma, Vandana; Mallick, Rahul Dev
Description
The capacity of drones to perform item detection in actual-time is crucial for applications inclusive of surveillance, seek and rescue, and environmental tracking. This look at investigates how convolutional neural networks (CNNs) can beautify object detection in aerial imagery by enhancing both accuracy and speed. CNNs excel at extracting spatial info, permitting drones to apprehend objects even in relatively complicated environments. by adopting light-weight CNN architectures and optimization strategies, we acquire advanced performance with minimum computational requirements, ensuring green operation on embedded drone platforms. Our findings verify that CNN-based fashions considerably decorate detection accuracy and responsiveness, allowing the improvement of smarter and more self reliant drones. 2025 IEEE.
Source
2025 International Conference on Artificial Intelligence and Machine Vision, AIMV 2025;
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
autonomous navigation; Convolutional Neural Networks; drones; object detection; optimization strategies; real-time processing
Coverage
Singh U.K., Kalinga Institute of Industrial Technology, School of Computer Engineering, Odisha, India; Raj A., Kalinga Institute of Industrial Technology, School of Computer Engineering, Odisha, India; Anand A., Tata Consultancy Services Limited, Lucknow, India; Baghel N., Bennett University, SCSET, India; Sharma V., CHRIST University, Computer Science Department, Bengaluru, India; Mallick R.D., Kalinga Institute of Industrial Technology, School of Computer Engineering, Odisha, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833152697-9;
Format
online
Language
English
Type
Conference paper

Citation

Singh, Ujjwal Kumar; Raj, Aryan; Anand, Amritesh; Baghel, Neeraj; Sharma, Vandana; Mallick, Rahul Dev, “An Optimized Convolutional Neural Network Model for Real-Time Object Detection in Drones,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/25751.

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