IoT-based Safety Recognition Service for Construction Site

被引：0

作者：

Park, Miri ^{[1
]}

Song, Minjeong ^{[1
]}

Park, SangOh ^{[2
]}

Park, Sangil ^{[1
]}

机构：

[1] Seoul Natl Univ Sci & Technol, Grad Sch Nano IT Design Fus, Seoul, South Korea

[2] Seoul Natl Univ Sci & Technol, Dept Elect & IT Media Engn, Seoul, South Korea

来源：

2019 ELEVENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2019) | 2019年

关键词：

IoT; Deep-learing; Smart-City; Safety Recognition; Construction site; Zigbee;

D O I：

10.1109/icufn.2019.8806080

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we implemented a service that supports the safety situation of the construction site using IoT sensor network that prevents the dangerous situation of workers. We built a sub-1ghz based Zigbee SensorTags and Edge Routers for sensor networks which is suitable for construction sites. Using the gyroscope and accelerometer data of the wearable device, it provides a safety service that detects worker's falls using Deep Learnings. Using Deep Learning networks falls detection performance was achieved above 94%.

引用

页码：738 / 741

页数：4

共 8 条

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[8] Young Yoo Moo, 2019, The International Journal of Internet, Broadcasting and Communication, V11, P27, DOI 10.7236/IJIBC.2019.11.1.27

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