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A WSN and Vision Based Energy Efficient and Smart Surveillance System Using Computer Vision and AI at Edge

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Advanced Information Networking and Applications (AINA 2024)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 201))

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Abstract

The current traditional surveillance systems frequently fall short in delivering satisfactory quality of service, leading to frustrated user experiences. Consequently, there is a growing demand for more efficient and intelligent surveillance solutions. This paper addresses this need by introducing a wireless sensor networking (WSN) and vision based approach that employs optical verification through computer vision and AI at the edge, specifically designed for resource constrained IoT nodes. To support the feasibility and effectiveness of the proposed system, the authors conducted experimental analyses using both simulation and a case study. The results of the study demonstrate that the suggested surveillance system is energy conservative and provides real time information, offering a promising solution to the limitations of traditional surveillance setups.

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Authors and Affiliations

  1. Birla Institute of Technology and Science, Pilani, Rajasthan, India

    Shreeram Hudda, K. Haribabu, Rishabh Barnwal & Abhishek Khurana

Authors
  1. Shreeram Hudda
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  2. K. Haribabu
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  3. Rishabh Barnwal
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  4. Abhishek Khurana
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Corresponding author

Correspondence to Shreeram Hudda .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

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Hudda, S., Haribabu, K., Barnwal, R., Khurana, A. (2024). A WSN and Vision Based Energy Efficient and Smart Surveillance System Using Computer Vision and AI at Edge. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 201. Springer, Cham. https://doi.org/10.1007/978-3-031-57870-0_3

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