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Intelligent Surveillance System Using Deep Learning

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Proceedings of Data Analytics and Management (ICDAM 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 786))

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Abstract

With the recent developments in the object detection and face recognition areas, the creation of practical video surveillance systems with built-in object detection and face recognition functions that are accurate and fast enough for business use is now feasible. In surveillance apps, it is important to recognize unusual behavior. To capture anomalous behaviors, automated video recording must be used. This work discussed and implemented clever video security system that employs deep learning techniques to identify anomalies in videos. The system will then capture these video frames as an image for the user to review after real-time motion recognition is also an option.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Graphic Era Hill University, Uttarakhand, India

    Rishika Yadav, Anshika Gupta & Vishakha Fulara

  2. Bhilai Institute of Technology, Drug, India

    Monika Verma

  3. Department of Technical Education, Department Govt Polytechnic Bighapur Unnao, Bighapur, U.P., India

    Vikas Yadav

  4. Department of Computer Science & Engineering, Graphic Era Deemed to be University, Uttarakhand, India

    Ruchira Rawat

Authors
  1. Rishika Yadav
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  2. Anshika Gupta
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  3. Vishakha Fulara
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  4. Monika Verma
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  5. Vikas Yadav
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  6. Ruchira Rawat
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Corresponding author

Correspondence to Rishika Yadav .

Editor information

Editors and Affiliations

  1. Department of Information Technology, Bhagwan Parshuram Institute of Technology, New Delhi, Delhi, India

    Abhishek Swaroop

  2. Jan Wyżykowski University, Polkowice, Poland

    Zdzislaw Polkowski

  3. Polytechnic Institute of Portalegre, Portalegre, Portugal

    Sérgio Duarte Correia

  4. Centre for Communications Technology, London Metropolitan University, London, UK

    Bal Virdee

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Cite this paper

Yadav, R., Gupta, A., Fulara, V., Verma, M., Yadav, V., Rawat, R. (2024). Intelligent Surveillance System Using Deep Learning. In: Swaroop, A., Polkowski, Z., Correia, S.D., Virdee, B. (eds) Proceedings of Data Analytics and Management. ICDAM 2023. Lecture Notes in Networks and Systems, vol 786. Springer, Singapore. https://doi.org/10.1007/978-981-99-6547-2_31

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