Predictive Monitoring Sensor HC-MR1

By being able to detect signs of dangerous behavior in images, we can reduce the burden of caregiving and decrease the incidence of lighting accidents.

■Operation ● Detects the movements of users on the sensor bed in their room. ● Notifies staff on their "mobile devices." They can check the screen to determine the necessity and priority of visits. ● The detected data is sent to and stored on the "server PC" for integrated management. The detectable movements are the following seven types: 1. Rising up 2. Sitting on the edge 3. Overcoming the railing 4. Leaving the bed 5. Sliding down 6. Entering the room 7. Exiting ■Sensor Accurate image analysis with minimal false alarms ● The sensor can accurately recognize the human body from three-dimensional shapes. ● There is no performance degradation even in complete darkness during sleep. ■Features Check the room's status anytime ● Real-time video can be checked regardless of day or night. ● Users can be monitored without waking them during sleep. ● Privacy is protected due to silhouette images. ■Identification of accident causes and situation understanding ● The detection history during notifications (10 to 120 seconds before and after) can be checked to identify accident factors. ● 24-hour video recording (up to 3 beds simultaneously) allows for monitoring the movements of concerned users and visit situations.

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