As the global population ages, the need for reliable and non-intrusive systems to safeguard the well-being of elderly individuals living independently is growing. Traditional monitoring methods, such as wearable devices, can be inconvenient and inconsistently used, making them less effective. A preferable solution is a passive system that functions without requiring direct user interaction, ensuring privacy while providing continuous support. This study explores the use of floor-based vibration sensors to monitor movement patterns and detect anomalies, with an emphasis on identifying falls. The objective is to evaluate whether unique vibration signatures can reliably differentiate between routine activities and potential hazards, forming the foundation for cost-effective monitoring systems. By examining the accuracy and feasibility of this technology, the research seeks to improve senior people’s independence and safety, while offering caregivers valuable insights to enable more proactive and informed care. First part of the project focuses on developing a home laboratory to gather data through vibration sensors and establishing a baseline of normal activity. Once this baseline is set, the sensors will monitor for deviations that could indicate a fall. The goal is to create a system capable of detecting falls, thereby enhancing the safety of older adults living independently. This paper presents a detailed overview of the project’s motivation, objectives, and scope, as well as the proposed framework, setup, and software architecture.