Falls are a serious and common health issue among the elderly, especially in the context of the rapidly aging population. The consequences of falls extend beyond physical injuries such as bone fractures or cranial trauma; they also lead to reduced mobility, loss of self-care ability, and increased dependence on healthcare systems. In addition, prolonged psychological effects such as anxiety, decreased confidence in movement, and the risk of depression often occur in individuals who have experienced falls. Timely fall detection plays a crucial role in enabling early intervention and minimizing both physical and psychological complications. This paper focuses on the research and development of a mobile application system capable of detecting fall events, analyzing the level of medical urgency, and transmitting the victim’s status information to family members or relevant emergency services. The system is designed to shorten response time, thereby improving timely access to medical care and increasing the chances of recovery for elderly individuals involved in fall accidents.