Design of a Monitoring and Tracking System for Children and Patients with Mental Needs Using Arduino

Abstract

This paper presents the design and implementation of an Arduino-based monitoring and tracking system to ensure the safety of children and patients with mental illnesses requiring 24-hour care. Leveraging Internet of Things (IoT) principles, the system integrates Arduino as a controller, passive infrared (PIR) sensors, and GPS/GSM modules with Google Maps to provide real-time alerts and location tracking when a child or patient moves away from a defined safe zone. The system operates in three stages. First, it detects motion in the dark using PIR sensors, triggering alarms and SMS alerts. Second, it monitors the boundaries of the safe zone and sends alerts if the target exits the designated area. Finally, it tracks the target’s location via GPS, providing real-time updates every minute and sending an SMS with a Google Maps link for precise location retrieval. The system is cost-effective, reliable, and responsive, providing caregivers and parents with real-time notifications and accurate location data. Its modular design allows for easy integration of new features, making it a practical and effective solution for protecting and tracking vulnerable individuals.