Título: | A ROBUST REAL-TIME COMPONENT FOR PERSONAL PROTECTIVE EQUIPMENT DETECTION IN AN INDUSTRIAL SETTING | ||||||||||||
Autor: |
PEDRO HENRIQUE LOPES TORRES |
||||||||||||
Colaborador(es): |
HELIO CORTES VIEIRA LOPES - Orientador THUENER ARMANDO DA SILVA - Coorientador |
||||||||||||
Catalogação: | 19/JUL/2021 | Língua(s): | ENGLISH - UNITED STATES |
||||||||||
Tipo: | TEXT | Subtipo: | THESIS | ||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
||||||||||||
Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=53751&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=53751&idi=2 |
||||||||||||
DOI: | https://doi.org/10.17771/PUCRio.acad.53751 | ||||||||||||
Resumo: | |||||||||||||
In large industries, such as construction, metallurgy, and oil, workers
are continually exposed to various hazards in their workplace. Accordingly
to the International Labor Organization (ILO), there are 340 million occupational
accidents annually. Personal Protective Equipment (PPE) is used
to ensure the essential protection of workers health and safety. There is a
great effort to ensure that these types of equipment are used properly. In
such an environment, it is common to have closed-circuit television (CCTV)
cameras to monitor workers, as those can be used to verify the PPE s proper
usage. Some works address this problem using CCTV images; however, they
frequently can not deal with multiples safe equipment usage detection and
others even skip the verification phase, making only the detection. In this
paper, we propose a novel cognitive safety analysis component for a monitoring
system. This component acts to detect the proper usage of PPE s in
real-time using data stream from regular CCTV cameras. We built the system
component based on the top of state-of-art deep learning techniques for
object detection. The methodology is robust with consistent and promising
results for Mean Average Precision (mAP) and can act in real-time.
|
|||||||||||||
|