| dc.contributor.author | Lalamentik, Steve Emanuel William | |
| dc.date.accessioned | 2025-06-17T02:58:33Z | |
| dc.date.available | 2025-06-17T02:58:33Z | |
| dc.date.issued | 2024 | |
| dc.identifier.uri | http://repository.president.ac.id/xmlui/handle/123456789/12980 | |
| dc.description.abstract | This project demonstrates the development of an Arduino-based emergency response system that uses GPRS, ESP WiFi, and voice recognition technologies to provide real-time GPS tracking and communication in an emergency The system takes GPS data and transmits it via GPRS and WiFi so go a PHP-based web platform And in addition to enabling sharing, the system facilitates instant calls to predefined phone numbers, increasing emergency response speed and efficiency. The voice recognition function allows users to initiate alerts and share their GPS information hands-free, ensuring quick and accurate requests for help. This integrated approach aims to improve public safety by ensuring better coordination with emergency personnel and faster response times. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | President University | en_US |
| dc.relation.ispartofseries | Information Technologies;001202100128 | |
| dc.subject | Arduino | en_US |
| dc.subject | GPRS | en_US |
| dc.subject | ESP WiFi | en_US |
| dc.subject | Voice Recognition | en_US |
| dc.subject | GPS Tracking | en_US |
| dc.subject | Emergency Response | en_US |
| dc.subject | Real-time Monitoring | en_US |
| dc.subject | PHP Web Platform | en_US |
| dc.subject | Automated Emergency Calls | en_US |
| dc.subject | Public Safety | en_US |
| dc.title | EMERGENCY HELP : MONITORING SELF ACCIDENT AND DANGER DETECTOR SITUATION WITH REALTIME RESPONSE | en_US |
| dc.type | Thesis | en_US |