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- Use case 【Smart Hospital/ Care Home】
Smart Hospital/ Care Home
AI analyzes the movements of residents in hospitals and nursing homes to prevent falls
｜Selling Points｜
A series of movements are detected by AI and the condition is communicated to the caregiver in advance.
When a dangerous situations are detected, the system can alert those to the caregiver with a variety of alarm methods, such as e-mail, LINE, LED indicators, and warning lights.
The visualization system on the cloud enables centralized management and visualization of the resident's situation.
｜Optional Features｜
You can check the alerts that are occurring in all rooms in the facility. * The status of response to alerts and room images can be checked.
It is possible to set the monitoring level according to the level of care required for each room.
Alert history can be managed for each resident. * By understanding trends, it is possible to provide care that takes safety into consideration.
｜Usage Scenarios｜
Wake-up detection for residents
Detects the posture of a person in bed. Detection is possible even when a "futon" is in use. Detects the transition from lying in bed to getting up, and alerts caregivers when the person's head comes out of the designated area. This can help prevent falls, which tend to occur when a person gets out of bed.
Fall prevention and detection for residents
The system detects a person in the camera image and determines the person's posture in six different states ("falling," "standing," "sitting," "sitting on the edge," "waking up," and "lying down") and notifies the caregivers. The state of alerting can be set for each resident (e.g., alerting when the resident is in the sitting position, in the standing position, etc.), allowing the caregivers to set the level of monitoring according to the resident's necessary level of care.
Centralizes and visualizes
Warning levels can be set for each resident's room, and the status of response to warnings and images of the room can be viewed centrally from the management screen. By analyzing the history of alerts recorded in the system, it is possible to analyze the risk of accidents and identify trends.
｜System Configuration Chart｜
