Visual Inspection of Collective Protection Equipment Conditions with Mobile Deep Learning Models

Bruno Ferreira, Bruno Lima, Tiago Vieira

2020

Abstract

Even though Deep Learning models are presenting increasing popularity in a variety of scenarios, there are many demands to which they can be specifically tuned to. We present a real-time, embedded system capable of performing the visual inspection of Collective Protection Equipment conditions such as fire extinguishers (presence of rust or disconnected hose), emergency lamp (disconnected energy cable) and horizontal and vertical signalization, among others. This demand was raised by a glass-manufacturing company which provides devices for optical-fiber solutions. To tackle this specific necessity, we collected and annotated a database with hundreds of in-factory images and assessed three different Deep Learning models aiming at evaluating the trade-off between performance and processing time. A real-world application was developed with potential to reduce time and costs of periodic inspections of the company’s security installations.

Paper Citation

in Harvard Style

Ferreira B., Lima B. and Vieira T. (2020). Visual Inspection of Collective Protection Equipment Conditions with Mobile Deep Learning Models.In Proceedings of the 1st International Conference on Deep Learning Theory and Applications - Volume 1: DeLTA, ISBN 978-989-758-441-1, pages 76-83. DOI: 10.5220/0009834600760083

in Bibtex Style

@conference{delta20,
author={Bruno Ferreira and Bruno Lima and Tiago Vieira},
title={Visual Inspection of Collective Protection Equipment Conditions with Mobile Deep Learning Models},
booktitle={Proceedings of the 1st International Conference on Deep Learning Theory and Applications - Volume 1: DeLTA,},
year={2020},
pages={76-83},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009834600760083},
isbn={978-989-758-441-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Deep Learning Theory and Applications - Volume 1: DeLTA,
TI - Visual Inspection of Collective Protection Equipment Conditions with Mobile Deep Learning Models
SN - 978-989-758-441-1
AU - Ferreira B.
AU - Lima B.
AU - Vieira T.
PY - 2020
SP - 76
EP - 83
DO - 10.5220/0009834600760083