| Title |
IoT-based Safety Recognition Service for Construction Site |
| ID_Doc |
44518 |
| Authors |
Park, M; Song, M; Park, S; Park, S |
| Title |
IoT-based Safety Recognition Service for Construction Site |
| Year |
2019 |
| Published |
|
| DOI |
10.1109/icufn.2019.8806080 |
| Abstract |
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%. |
| Author Keywords |
IoT; Deep-learing; Smart-City; Safety Recognition; Construction site; Zigbee |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000560607200171 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Theory & Methods; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
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