ENHANCING ELDERLY CARE THROUGH FACIAL RECOGNITION TECHNOLOGY

Abstract: The abstract serves as a concise overview of our research paper, which delves into the fusion of facial recognition technology and IoT devices to elevate elderly care in assisted living environments. Through a systematic investigation, we assess the efficacy of this novel system in monitoring residents' well-being and swiftly responding to emergencies. Our methodology entails deploying cameras embedded with facial recognition software and IoT sensors throughout the facility, enabling real-time data collection to detect distress signals and trigger alerts for timely caregiver intervention. Our findings underscore significant enhancements in the responsiveness and effectiveness of elderly care, fostering a safer environment and providing reassurance to residents and their families. This research underscores the transformative potential of technology-driven solutions in addressing the evolving needs of an aging population within the healthcare landscape.

Keywords: facial recognition, IoT, elderly care, emergency response, healthcare technology.