Smart City Gnosys
Smart city article details
| Title | Iot-Based Safety Recognition Service For Construction Site |
|---|---|
| ID_Doc | 33999 |
| Authors | Park M.; Park S.; Song M.; Park S. |
| Year | 2019 |
| Published | International Conference on Ubiquitous and Future Networks, ICUFN, 2019-July |
| DOI | http://dx.doi.org/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%. © 2019 IEEE. |
| Author Keywords | Construction site; Deep-learing; IoT; Safety Recognition; Smart-City; Zigbee |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
869  | 0.863 | Kumar G.S.A.; Roy A.; Singh R.; Gehlot A.; Iqbal M.I.; Akram S.V. | A Comprehensive Approach To Real-Time Site Monitoring And Risk Assessment In Construction Settings Using Internet Of Things And Artificial Intelligence | SSRG International Journal of Electrical and Electronics Engineering, 10, 8 (2023) |
| 33029 | 0.855 | Lorusso A.; Celenta G. | Internet Of Things In The Construction Industry: A General Overview | Lecture Notes in Networks and Systems, 687 LNNS (2023) |