Development of a hybrid device based on infrared and ultrasonic sensors for human resource management

Joo Heon Kim, Hun Hee Cho, Ung Kyun Lee, Kyung In Kang

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    Human resources are continuously gaining importance in association with construction site management. With increasing interest being shown in the use of state-of-the-art technologies such as radio frequency identification (RFID) in site management, we developed a device based on infrared radiation and ultrasonic sensors for application in the management of human resources, especially labour safety management. We tested sensors and optimized the sensing range and angle of the device, which could detect workers using an infrared sensor that senses body heat and an ultrasonic sensor to measure the object's distance. The device allows a manager to determine where workers are, and how far they are from the point of sensing. This paper shows that the device can prevent fatal accidents such as falls. In doing so, it addresses a key issue in the management of safety on work sites.

    Original languageEnglish
    Title of host publicationAutomation and Robotics in Construction - Proceedings of the 24th International Symposium on Automation and Robotics in Construction
    Pages111-115
    Number of pages5
    Publication statusPublished - 2007
    Event24th International Symposium on Automation and Robotics in Construction, ISARC 2007 - Kochi, India
    Duration: 2007 Sept 192007 Sept 21

    Publication series

    NameAutomation and Robotics in Construction - Proceedings of the 24th International Symposium on Automation and Robotics in Construction

    Other

    Other24th International Symposium on Automation and Robotics in Construction, ISARC 2007
    Country/TerritoryIndia
    CityKochi
    Period07/9/1907/9/21

    Keywords

    • Infrared sensor
    • Safety management
    • Ultrasonic sensor

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Vision and Pattern Recognition
    • Building and Construction

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