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Assessment of conformal use of personal protective equipment by object and human pose recognition

Cédric Le Bono 1, 2 Panagiotis Papadakis 1, 2 Cédric Buche 3
1 Lab-STICC_IMTA_CID_IHSEV
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 Lab-STICC_ENIB_CID_IHSEV
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : On construction sites, workers are exposed to a wide range of hazards. To reduce risk and prevent severe work accidents, the use of PPE (Personal Protective Equipment), such as hard hat or harness has been adopted by the industry. Monitoring the use of PPE is an inherently difficult task since its protective effectiveness depends on whether it is conformally worn. In recent years, the advent of deep learning for the tasks of object detection and human pose analysis has enabled the rise of discriminative and all-purpose PPE detectors. However, most of earlier works solely focus on detecting the equipment irrespective of their positioning. By assessing conformal PPE usage based on the combined output of object detection and articulated human pose extraction we can combine learning with domain expertise, which allows a straightforward, in-field application of the approach that attains high quantitative performance.
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https://hal-imt-atlantique.archives-ouvertes.fr/hal-03001159
Contributor : Panagiotis Papadakis <>
Submitted on : Thursday, November 12, 2020 - 11:33:34 AM
Last modification on : Sunday, November 22, 2020 - 3:04:53 AM

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  • HAL Id : hal-03001159, version 1

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Cédric Le Bono, Panagiotis Papadakis, Cédric Buche. Assessment of conformal use of personal protective equipment by object and human pose recognition. IEEE International Conference on Safety, Security and Rescue Robotics (SSRR), Nov 2020, Abu Dhabi (virtual), United Arab Emirates. ⟨hal-03001159⟩

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