TY - JOUR
T1 - A smart wearable device based on internet of things for the safety of children in online transportation
AU - Tunggadewi, Elsyea Adia
AU - Agustin, Eva Inaiyah
AU - Yunardi, Riky Tri
N1 - Publisher Copyright:
© 2021 Institute of Advanced Engineering and Science. All rights reserved.
PY - 2021/4
Y1 - 2021/4
N2 - The world needs to pay attention to children who often become victims of violence and cannot escape social problems. Various safety devices that are commonly known as smart wearable devices have been created, but they still have many shortcomings. Thus, in this research a safety device that can be held by children is designed and is equipped with a button that can be pressed, then it will automatically send the location and photo of the scene to the parent's cellphone via the telegram application. It uses the raspberry pi zero W controller, the GNSS HMC5983 SAW LNA GPS Module to determine the location, and the 5MP raspberry Pi Zero camera module to capture the incident. Based on the results, the average time needed to share locations is 0.91 seconds, and the average time needed to capture is 11.57 seconds, if the device and receiving cellphone use the same network. Additionally, the average time needed to share locations is 0.96 seconds, and the average time needed to capture is 12.09 seconds, if the device and receiving cellphone use a different network. Both conditions have 97.5% location accuracy rate and 100% photo accuracy rate.
AB - The world needs to pay attention to children who often become victims of violence and cannot escape social problems. Various safety devices that are commonly known as smart wearable devices have been created, but they still have many shortcomings. Thus, in this research a safety device that can be held by children is designed and is equipped with a button that can be pressed, then it will automatically send the location and photo of the scene to the parent's cellphone via the telegram application. It uses the raspberry pi zero W controller, the GNSS HMC5983 SAW LNA GPS Module to determine the location, and the 5MP raspberry Pi Zero camera module to capture the incident. Based on the results, the average time needed to share locations is 0.91 seconds, and the average time needed to capture is 11.57 seconds, if the device and receiving cellphone use the same network. Additionally, the average time needed to share locations is 0.96 seconds, and the average time needed to capture is 12.09 seconds, if the device and receiving cellphone use a different network. Both conditions have 97.5% location accuracy rate and 100% photo accuracy rate.
KW - Camera
KW - GPS
KW - IoT
KW - Raspberry Pi
KW - Smart wearable device
UR - http://www.scopus.com/inward/record.url?scp=85122945733&partnerID=8YFLogxK
U2 - 10.11591/ijeecs.v22.i2.pp100-108
DO - 10.11591/ijeecs.v22.i2.pp100-108
M3 - Article
AN - SCOPUS:85122945733
SN - 2502-4752
VL - 22
SP - 708
EP - 716
JO - Indonesian Journal of Electrical Engineering and Computer Science
JF - Indonesian Journal of Electrical Engineering and Computer Science
IS - 2
ER -