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Deep Learning-Powered Camouflaged Object Recognition Model

Publication Type : Conference Proceedings

Publisher : IEEE

Source : International Conference on Integrated Circuits and Communication Systems (ICICACS)

Url : https://ieeexplore.ieee.org/document/10498339

Campus : Chennai

School : School of Engineering

Year : 2024

Abstract : This research paper delves into the intersection of advanced technology and military strategies, specifically focusing on the imperative task of camouflaged object detection within the Indian Paramilitary forces. Leveraging cutting-edge DL Frameworks, like CNNs, Faster RCNN, and YOLOv8, our methodology aims to enhance the precision and efficiency of identifying concealed weapons and camouflaged objects in real-world scenarios. The collaboration with the Indian Paramilitary has enabled the creation of a dataset tailored to the challenges faced on the ground, reflecting a commitment to addressing contemporary threats. The study explores the global positioning of India in military technology, emphasizing the nation’s role as a key player in adopting sophisticated solutions for defense. Beyond technological innovation, this research underscores a noble cause the protection of lives and the fortification of national security. The fusion of advanced technology and a profound sense of duty forms the core of this work, exemplifying a commitment to the greater good.

Cite this Research Publication : Riya Tomar,Naman Chauhan,Chhavi Chauhan,Yash Tomar,Soumyendra Singh,Nishant Chauhan, Deep Learning-Powered Camouflaged Object Recognition Model, International Conference on Integrated Circuits and Communication Systems (ICICACS),2024.

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