Hacia una detección precisa de cascos de seguridad en tiempo real a través de un método basado en el aprendizaje profundo

Q4 Engineering

Ingeniare Pub Date : 2023-07-01 DOI:10.4067/s0718-33052023000100212

Roger Max Calle Quispe, Maya Aghaei Gavari, Eduardo Aguilar Torres

引用次数: 0

Abstract

Occupational safety is a fundamental activity in industries and revolves around the management of the necessary controls that must be present to mitigate occupational risks. These controls include verifying the use of Personal Protection Equipment (PPE). Within PPE, safety helmets are vital to reducing severe or fatal consequences caused by head injuries. This problem has been addressed recently by various research based on deep learning to detect the usage of safety helmets by the present people in the industrial field

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通过基于深度学习的方法实现实时准确检测安全帽

职业安全是工业中的一项基本活动，围绕着必须存在的必要控制的管理，以减轻职业风险。这些控制包括验证个人防护装备(PPE)的使用情况。在个人防护装备中，安全帽对于减少头部受伤造成的严重或致命后果至关重要。最近，各种基于深度学习的研究解决了这个问题，以检测工业领域中人们对安全帽的使用情况

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ingeniare Engineering-Engineering (all)

CiteScore

0.90

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： Ingeniare. Revista chilena de ingeniería is published periodically, is printed in three issues per volume annually, publishing original articles by professional and academic authors belonging to public or private organisations, from Chile and the rest of the world, with the purpose of disseminating their experiences in engineering science and technology in the areas of Electronics, Electricity, Computing and Information Sciences, Mechanical, Acoustic, Industrial and Engineering Teaching. The abbreviated title of the journal is Ingeniare. Rev. chil. ing. , which should be used in bibliographies, footnotes and bibliographical references and strips.