I want to protect my privacy.

I don't want to disturb your peaceful sleep.

Even so, I want to be there for them when they need it.

Falling accidents result in a huge amount of follow-up work.

It's too late once you've fallen, so we want to prevent it from happening in the first place.

Despite continued recruitment efforts, the labor shortage persists, and operations are constantly overwhelmed.

With labor costs and prices continuing to rise, we want to keep investment and operating costs to a minimum.

I don't like being watched by cameras 24/7.

I don't want my life and activities to be known more than necessary.

I get woken up during nighttime patrols and can't get enough rest.

I want to sleep peacefully in a quiet environment like my own home.

I want to do things myself that I can do myself.

Rather than excessive support, I'd prefer you watch over me from the sidelines.

I feel hesitant to call the staff over multiple times.

I can't properly ask for help when I really need it.

Main Unit (Bedside)

It detects movements such as getting up in the room, room illumination, temperature and humidity, and unusual noises, and identifies potential signs that could lead to falls or accidents based on everyday changes in conditions.

Subunit (Floor / Door)

It detects movement through doors and foot movements to identify actions that require attention, such as getting out of bed or moving outside the room.

Conversation Unit

It features a call function that connects staff and residents, allowing staff to assess the situation and provide safe guidance even before arriving at the scene.

Camera Unit

It operates only when an anomaly is detected and necessary, allowing for situation monitoring while respecting privacy.

Resident getting up in bed

The main unit's sensors detect the upper body movements of the residents.

Getting out of bed

After detection by the main unit, a sensor in a sub-unit placed under the bed detects the resident's foot movements and estimates whether they have left the bed.

Turn on the lights in the room

By detecting when the lights in a room are turned on, it can detect signs that the resident is about to take some kind of action.

Call from a resident

The conversation unit allows for confirmation of the resident's wishes through conversation.

Detection of falls and loud noises

If a loud noise or voice that suggests a fall or accident is detected, a call will automatically be initiated, allowing the caregiver to make contact.

Alerts triggered by detection of resident departure

In cases where a resident leaves their room, a sub-unit attached to the door can detect the resident's departure and issue an alert.

Pattern 1: Detecting when a person gets up and turns on the lights

By detecting signs of behavior such as getting up or changes in lighting, we can understand the situation before an accident occurs and make appropriate decisions.

Pattern 2: Detecting getting out of bed and abnormal behavior

The system detects signs of patients getting out of bed or unusual behavior, and delivers accurate information to the scene before a dangerous situation develops.

Pattern 3: SOS operation

We ensure that residents' requests for help are effectively translated into on-site support.

Step 1: Sensing the signs

By combining multiple sensors, it can quickly detect serious signs that could lead to falls or accidents. We capture every "pre-accident movement" that could lead to an accident!

Step 2: Share via alert

When an anomaly is detected, an alert and camera footage are transmitted wirelessly. This footage can then be remotely shared on a tablet or smartphone from a distance. The detected "signs" are instantly digitized and notified via intuitive alerts.

Step 3: Understanding the situation

Staff can intuitively understand the situation in rooms where alerts have been triggered through live video feeds and determine in advance what kind of assistance is needed. Check the video and call status on your device and decide whether to go now.

Step 4: We'll handle it while talking

Even while waiting to arrive, the system allows for a more accurate understanding of the resident's condition through the conversation function, enabling safe guidance through verbal communication. Staff can communicate using tablets/smartphones.