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Connected e-Health pp 475–492Cite as

A Smart and Intelligent Security System for Healthcare Facilities with AWS and Raspberry Pi Integration

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 1021))

Abstract

The main aim of this chapter is to build a smart security device to cater to the security problems that have arisen in the recent times, in the healthcare facilities, with the onset of the covid19 pandemic. With more and more people occupied with providing emergency services, the special restricted mode in our designed smart security system will help in flexible surveillance of hospital wards as per requirement. The demand within the global market for healthcare security systems has been rising on account of the need to ensure optimal security and productivity across all hospitals and healthcare facilities. A smart security system with IoT and cloud connectivity, along with multiple smart modes to cater to the needs of the user is the need of the hour. With the onset of the pandemic situation, things have become more intense, with minimal efforts given towards surveillance. This is where our smart security system finds its application along with other restricted zones. With its seamless connection with AWS for 24 × 7 connectivity with the user, one can expect constant updates as per requirement. With the integration of raspberry pi, other security features are also achieved like a fire alarm, motion detection, gas sensing, temperature detection, footfall tracking and noise detection with stable conditions.

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Author information

Authors and Affiliations

  1. Kalinga Institute of Industrial Technology, Bhubaneswar, India

    Ankush Sinha Roy & Tushar Singhal

  2. Indian Institute of Management, Ranchi, India

    Sibanjan Das

Authors
  1. Ankush Sinha Roy
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  2. Tushar Singhal
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  3. Sibanjan Das
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Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India

    Sushruta Mishra

  2. Grupo de Investigación BISITE, Departamento de Informática y Automática, Facultad de Ciencias, University of Salamanca, Instituto de Investigación Biomédica de Salamanca, Salamanca, Spain

    Alfonso González-Briones

  3. KIET Group of Institutions, Ghaziabad, Delhi-NCR, India

    Akash Kumar Bhoi

  4. School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India

    Pradeep Kumar Mallick

  5. Grupo de Investigación BISITE, Departamento de Informática y Automática, Facultad de Ciencias, University of Salamanca, Instituto de Investigación Biomédica de Salamanca, Salamanca, Spain

    Juan M. Corchado

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Roy, A.S., Singhal, T., Das, S. (2022). A Smart and Intelligent Security System for Healthcare Facilities with AWS and Raspberry Pi Integration. In: Mishra, S., González-Briones, A., Bhoi, A.K., Mallick, P.K., Corchado, J.M. (eds) Connected e-Health. Studies in Computational Intelligence, vol 1021. Springer, Cham. https://doi.org/10.1007/978-3-030-97929-4_22

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