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Remote Employee Monitoring and Management

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Applied Computational Technologies (ICCET 2022)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 303))

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Abstract

Organizations have moved towards tracking their employees’ devices and keeping track of their work. We intend to develop a system that not only respects the privacy of employees but also helps employers manage their employees and also get a reliable productivity report. We have been able to monitor the background activities and log in the application names and their active time. The employee authentication process is implemented via a face recognition system which helps in maintaining authenticity. A total of 135 desktop apps and websites were opened while using the application and out of that 125 were successfully logged and their time was recorded accurately and productivity was calculated.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Sardar Patel Institute of Technology, Mumbai, India

    Chaitya Shah, Jinal Shah, Viraj Shah & Nataasha Raul

  2. Department of Applied Science and Humanities, Sardar Patel Institute of Technology, Mumbai, India

    Meghana Naik

Authors
  1. Chaitya Shah
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  2. Jinal Shah
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  3. Viraj Shah
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  4. Nataasha Raul
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  5. Meghana Naik
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Corresponding author

Correspondence to Viraj Shah .

Editor information

Editors and Affiliations

  1. Department of Electronics and Telecommunication Engineering, Dr. B. A. Technological University, Lonere, Maharashtra, India

    Brijesh Iyer

  2. Department of Digital Education and Policy, Swansea University, Swansea, UK

    Tom Crick

  3. Creative Technologies and Product Design, National Taipei University of Business, Taipei City, Taiwan

    Sheng-Lung Peng

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Shah, C., Shah, J., Shah, V., Raul, N., Naik, M. (2022). Remote Employee Monitoring and Management. In: Iyer, B., Crick, T., Peng, SL. (eds) Applied Computational Technologies. ICCET 2022. Smart Innovation, Systems and Technologies, vol 303. Springer, Singapore. https://doi.org/10.1007/978-981-19-2719-5_70

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