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Electronic Distance Measuring Instruments01:30

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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
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Passive Infrared Sensor-Based Occupancy Monitoring in Smart Buildings: A Review of Methodologies and Machine Learning

Azad Shokrollahi1, Jan A Persson1, Reza Malekian1

  • 1Internet of Things and People Research Center, Department of Computer Science and Media Technology, Malmö University, 211 19 Malmö, Sweden.

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Summary
This summary is machine-generated.

This review details passive infrared (PIR) sensor applications for smart building occupancy monitoring. It analyzes PIR sensor technology from 2015-2023 for people counting, activity, and location detection, enhancing building management.

Keywords:
IoT (internet of things)activity detectionmachine learningoccupancy informationpassive infrared sensors (PIR)people countingsmart buildings

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Area of Science:

  • Building Technology
  • Sensor Networks
  • Human-Computer Interaction

Background:

  • Smart buildings increasingly rely on the Internet of Things (IoT) for digitization.
  • Effective building status monitoring is crucial for services dependent on occupant presence and activity.
  • Occupancy information is vital for smart building management, encompassing people counting, detection, and tracking.

Purpose of the Study:

  • To provide a comprehensive literature review on passive infrared (PIR) sensors for occupancy information.
  • To analyze PIR sensor applications in people counting, activity detection, and localization from 2015 to 2023.
  • To consolidate findings on PIR sensor capabilities, techniques, and algorithms for indoor environments.

Main Methods:

  • Systematic literature review of articles published between 2015 and 2023.
  • Focus on studies utilizing passive infrared (PIR) sensors for occupancy data.
  • Analysis of various techniques, machine learning algorithms, and sensor configurations.

Main Results:

  • PIR sensors are cost-effective, privacy-preserving, and computationally simple for occupancy monitoring.
  • Review covers advancements in PIR sensor applications for people counting, activity detection, and indoor localization.
  • Identified advantages, limitations, and efficacy of different PIR sensor approaches.

Conclusions:

  • PIR sensors offer a viable solution for accurate occupancy information in smart buildings.
  • Improvements in PIR sensor technology enhance energy efficiency, security, and user comfort.
  • The review highlights the current state and future potential of PIR sensors in building management.