Protecting our little ones: A GPS-based child supervision tool with 99% accuracy rate

This study aimed to develop a child supervision tool with a sound system to help parents quickly detect and locate danger to their children. The tool utilizes a Push Button or a microphone that, when activated by the child saying "Danger," sends the GPS coordinates to a NodeMCU ESP8266 mic...

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Hauptverfasser: Syahrorini, Syamsudduha, Salsabillah, Jamaaluddin, Jamaaluddin, Wisaksono, Arief, Ayuni, Shazana Dyah, Hayatal, Agus
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container_issue 1
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container_volume 3167
creator Syahrorini, Syamsudduha
Salsabillah
Jamaaluddin, Jamaaluddin
Wisaksono, Arief
Ayuni, Shazana Dyah
Hayatal, Agus
description This study aimed to develop a child supervision tool with a sound system to help parents quickly detect and locate danger to their children. The tool utilizes a Push Button or a microphone that, when activated by the child saying "Danger," sends the GPS coordinates to a NodeMCU ESP8266 microcontroller that sends location signals and notifications to the parent’s smartphone. The buzzer on the device also activates to alert the parent of danger. The study found that Voice Recognition as a sender of Blynk notifications and activating the buzzer function properly, and the GPS U-Blox Neo 6m accurately captured locations with an accuracy rate above 99%, with a sensor reading error rate below 0.1%. The implication is that this tool can help parents supervise their children and prevent them from becoming victims of kidnapping.
doi_str_mv 10.1063/5.0220168
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subjects Children
Error analysis
Parents
Smartphones
Voice recognition
title Protecting our little ones: A GPS-based child supervision tool with 99% accuracy rate
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