Real-Time Alzheimer’s Care System using Embedded Technology

This research focuses on the development of OpenCV-enabled assistance system for Alzheimer's patients using embedded technology. The system was designed to enhance user safety and independence through real-time monitoring and alert mechanisms. It integrates key components such as a GPS module for location tracking, a GSM module for sending emergency alerts, and an intuitive interface comprising an LCD display and a push-button. The system operates by prompting users to confirm their safety through the push-button interface, with a countdown timer displayed on the screen. If the user fails to respond within the allocated time, an automated SMS alert containing the user’s real-time GPS location is sent to registered caregivers. This ensures that assistance is provided promptly in emergency situations. The hardware was selected and optimized for low power consumption and reliability, ensuring continuous operation. The results demonstrated efficient performance in message transmission, precise location tracking, and user interaction, making the system highly effective for its intended purpose. Limitations, such as dependency on network availability and potential issues in GPS signal reception in certain environments, were identified, suggesting areas for future enhancement. The proposed system addresses critical challenges faced by Alzheimer’s patients, such as the risk of wandering or becoming lost, by leveraging embedded technology to provide timely support. This work establishes a practical, cost-effective solution to improve the safety of Alzheimer's patients, while also offering a foundation for further advancements in assistive technologies.