1 / 2025-05-12 23:48:33
Live Occupancy Tracking System
Occupancy Detection, Arduino, Photoelectric Sensor, Embedded System, Fault Alert, Real-Time Monitoring
全文待审
L Josemafita / Sri Ramakrishna Engineering College
In the modern world of rising automation and safety regulations, real-time monitoring of room occupancy has become a necessity in rooms such as classrooms, Conference hall, offices,and laboratories. This project introduces a low-cost, sensor-based Real-Time Occupancy Monitoring System that accurately counts the number of people entering and leaving a room using Cx-491 compact photoelectric sensors with retroreflective reflectors. The system utilizes an Arduino Uno to interpret sensor data and refresh a 7-segment LED display of the present occupancy level. In case the number of occupants in room is above a pre-set threshold, an audible warning (buzzer) is initiated and a fault code is flashed, alerting users to a threshold violation.The system has been engineered to be direction-dependent, where an entry or an exit is recognized based on sequential sensor triggering. The system also functions satisfactorily with any change in the light, thanks to power shutdown protection being handled by a 12V–2A Mini UPS. Integrated into a handcrafted 3D-printed casing and being constructed over a PCB prototype board, the system is miniature-sized, resilient, and easily portable.This intelligent monitoring technology offers an energy-saver, scalable solution to occupancy management and is thus ideal for implementation in smart building infrastructures and guaranteeing compliance with crowd control protocols.

In the modern world of rising automation and safety regulations, real-time monitoring of room occupancy has become a necessity in rooms such as classrooms, Conference hall, offices,and laboratories. This project introduces a low-cost, sensor-based Real-Time Occupancy Monitoring System that accurately counts the number of people entering and leaving a room using Cx-491 compact photoelectric sensors with retroreflective reflectors. The system utilizes an Arduino Uno to interpret sensor data and refresh a 7-segment LED display of the present occupancy level. In case the number of occupants in room is above a pre-set threshold, an audible warning (buzzer) is initiated and a fault code is flashed, alerting users to a threshold violation.The system has been engineered to be direction-dependent, where an entry or an exit is recognized based on sequential sensor triggering. The system also functions satisfactorily with any change in the light, thanks to power shutdown protection being handled by a 12V–2A Mini UPS. Integrated into a handcrafted 3D-printed casing and being constructed over a PCB prototype board, the system is miniature-sized, resilient, and easily portable.This intelligent monitoring technology offers an energy-saver, scalable solution to occupancy management and is thus ideal for implementation in smart building infrastructures and guaranteeing compliance with crowd control protocols.

 
重要日期
  • 会议日期

    11月17日

    2025

    11月20日

    2025

  • 07月15日 2025

    初稿截稿日期

  • 10月10日 2025

    终稿截稿日期

  • 10月15日 2025

    初稿录用通知日期

主办单位
IEEE
承办单位
西悉尼大学
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