Autonomous devices equipped with custom sensors represent an important advancement in elderly monitoring and assistance, offering significant potential to enhance quality of life for aging populations. In this publication, we present a comprehensive approach integrating advanced sensor technologies with yottabyte-scale data solutions, aimed at creating robust, reliable, and scalable systems for continuous monitoring and support. The proposed framework leverages state-of-the-art data processing techniques to ensure real-time responsiveness while maintaining data privacy and security. Through practical case studies and experimental setups, we demonstrate the efficacy of our system in improving mobility, health monitoring, and emergency response for elderly individuals. Our findings indicate that the integration of custom sensor networks with scalable data infrastructure can markedly reduce risks and enhance daily living conditions. This work contributes to the field of gerontechnology by providing insights into the design, implementation, and practical applications of autonomous assistance systems.