The Real-Time Image-Based Emergency Notification System (RIENS) is using the human detection algorithms to identify the presence of a human, and analyzes the detected action to determine if matched any predefined S.O.S postures. These postures are trained into the system, allowing it to recognize specific signals that indicate an emergency or distress situation. When the system identifies a possible S.O.S. posture signal from the user, it transmits this information to the notifier system. The notifier system is designed not only to alert the emergency call center about distress situations but also to reduce the number of unnecessary distress calls. The notifier consists basic information about the user, including their medical history and predefined emergency contact, the system allows the emergency call center to gain a better understanding of the situation before dispatching emergency responders. With this additional information, the emergency call center can assess the severity of the situation and determine the appropriate response. If the situation does not require immediate emergency assistance, the center can provide alternative guidance or support to the user, potentially avoiding the need for dispatching emergency responders. This helps optimize the allocation of emergency resources and increases the efficiency of emergency responses. In summary, the RIENS incorporating features such as medical history, user information, and real-time emergency alerts and utilize the mobile technology to enable users to access the system and send distress signal when needed, meanwhile improve the emergency response and reduce the caretakers' burden in monitoring the patients. This system will offer convenience, accessibility, and real-time communication for users in distress.