Predictive Monitoring Sensor HC-MR1

By being able to grasp the signs of dangerous behavior through images, we can reduce the burden of caregiving and decrease the occurrence of lighting accidents.

■Operation ● Detects the movements of users on the sensor bed in the room. ● Notifies staff on their "mobile devices." They can view the screen to determine the necessity and priority of visits. ● The detected data is sent to and stored on the "server PC," allowing for integrated management. The detectable actions are the following seven types: 1. Getting up 2. Sitting on the edge 3. Climbing over the rail 4. Leaving the bed 5. Sliding off 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 at any time ● 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 the silhouette images. ■Identification of accident causes and situation understanding ● The detection history at the time of notification (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.

Security devicesSecurity Sensor Systems