Intelligent and Disaster Prevention Hard Hat Based on AIOT and Speeches Recognition

2019 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2019-07-01 DOI:10.1109/ICMLC48188.2019.8949271

Feng-Long Huang, Zih-Zrong Liao, Tsun-Hong Wang, Qiming Chen, Ting-Hua Wu, Ching-Hsiang Chang

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引用次数: 3

Abstract

Technology always comes from human nature and life safety is more important than anything. In recent years natural disasters and work safety accidents happened frequently. So we put what have learned into practice. With the technology of IoT, our team has developed the Intelligent and Disaster Prevention Hard Hat, which improve the life safety more than tradition hard hat. Different from traditional Hard Hats, we combine Raspberry 3 and various sensors to transform into an Intelligent and Disaster Prevention Hard Hat, with Global Positioning System and MQ2 toxic gas detection, which is the best to apply in a variety of disaster situations. The main control terminal is built with a Responsive Web Design (RWD), which can change the webpage frame with various devices to provide the best visual effect. With 21 kinds of multi-hazard instant alarms, users can instantly know whether there will be a secondary disaster in near future, and combine voice and face recognition, etc. The Hakka's speech recognition is included for communication between client and backsite center.

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基于AIOT和语音识别的智能防灾安全帽

技术总是源于人性，生命安全比什么都重要。近年来，自然灾害和生产安全事故频发。所以我们把所学到的付诸实践。我们的团队利用物联网技术，开发了智能防灾安全帽，比传统安全帽更能提高生命安全。与传统安全帽不同的是，我们将树莓3与各种传感器相结合，改造成一顶智能防灾安全帽，具有全球定位系统和MQ2有毒气体检测功能，最适合应用于各种灾害情况。主控终端采用响应式网页设计(Responsive Web Design, RWD)，可以随各种设备改变网页框架，提供最佳的视觉效果。21种多灾种即时报警，用户可即时得知近期是否会有二次灾害，并结合语音和人脸识别等功能。客家语音识别功能用于客户端与后台中心之间的沟通。

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2019 International Conference on Machine Learning and Cybernetics (ICMLC)

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