In:
Electronics, MDPI AG, Vol. 8, No. 10 ( 2019-09-23), p. 1079-
Abstract:
There are many ways to maintain the safety of workers on a working site, such as using a human supervisor, computer supervisor, and smoke–flame detecting system. In order to create a safety warning system for the working site, the machine-learning algorithm—Haar-cascade classifier—was used to build four different classes for safety equipment recognition. Then a proposed algorithm was applied to calculate a score to determine the dangerousness of the current working environment based on the safety equipment and working environment. With this data, the system decides whether it is necessary to give a warning signal. For checking the efficiency of this project, three different situations were installed with this system. Generally, with the promising outcome, this application can be used in maintaining, supervising, and controlling the safety of a worker.
Type of Medium:
Online Resource
ISSN:
2079-9292
DOI:
10.3390/electronics8101079
Language:
English
Publisher:
MDPI AG
Publication Date:
2019
detail.hit.zdb_id:
2662127-7
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