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Internet of Things-Based Labor/Manpower Tracking System for Construction Projects

Author

Listed:
  • Sameer Jain

    (Department of Computer Science and Engineering, Institute of Engineering and Technology, JK Lakshmipat University, Jaipur 302026, Rajasthan, India)

  • S. Taruna

    (Department of Computer Science and Engineering, Institute of Engineering and Technology, JK Lakshmipat University, Jaipur 302026, Rajasthan, India)

  • D. K. Sharma

    (Department of Computer Science and Engineering, Institute of Engineering and Technology, JK Lakshmipat University, Jaipur 302026, Rajasthan, India)

  • Gustavo Sanchez

Abstract

India’s construction industry contributes over 13% to the country’s total GDP. Materials, plant, machinery, equipment, and labor are the building blocks or assets of any project. Additionally, cost is also associated with procurement, storage, use, tracking, repair, maintenance, mobilization, and demobilization, among other things. There are human errors, such as incorrect data recording, transportation, safety and security, or system difficulties, such as inventory issues and transparency, which can lead to stakeholder distrust and wastage of time and money. Construction personnel data is vast, and automatically capturing and analyzing it is currently a top priority in the industry. In this paper, a tracking system based on the Internet of Things (IoT) to track labor with motion status is described. Then, the collected data is utilized to identify participants, their activities, average productivity, hours worked overtime, estimated productivity, and wages paid to the participants.

Suggested Citation

  • Sameer Jain & S. Taruna & D. K. Sharma & Gustavo Sanchez, 2025. "Internet of Things-Based Labor/Manpower Tracking System for Construction Projects," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-19, February.
    • Handle: RePEc:wsi:ijitmx:v:22:y:2025:i:01:n:s0219877025500038
    DOI: 10.1142/S0219877025500038
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