Peer-reviewed article
A smart wearable device based on internet of things for the safety of children in online transportation
Elsyea Adia Tunggadewi, Eva Inaiyah Agustin, Riky Tri Yunardi ·
Summary
Written by AI, not yet AICS's view · claude-haiku-4-5-20251001Researchers in Indonesia designed a wearable safety device for children that sends their location and photos to parents when a button is pressed. The device uses a Raspberry Pi controller, GPS module, and camera to capture incident information via the Telegram app. Tests showed the device could share location data in under 1 second and capture photos in about 12 seconds, with high accuracy rates on both same and different networks.
Key points
- Device sends location data in average 0.91 seconds (same network) and 0.96 seconds (different network)
- Photo capture takes average 11.57 seconds (same network) and 12.09 seconds (different network)
- Location accuracy rate of 97.5% across both network conditions
- Photo accuracy rate of 100%
- Device designed as a holdable wearable equipped with a button for children to activate in emergencies
Limitations
The document reports only technical performance specifications and does not evaluate whether the device actually improves child safety outcomes or reduce violence incidents. No information is provided about testing with real children, usability, acceptance by parents or children, or any impact on actual safety incidents.
Abstract
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.