Nursing Home Safety

What Can a Night Patrol Robot Do in a Nursing Home?

The functions provided today are fall candidate detection, an alert when a person is found in a time window and place you have set, and patrol gap monitoring. Delivery to the responsible staff member once something is detected is within 30 seconds. With photos, here is how the alerts arrive, what the robot does not do, the demo steps, and what a facility should prepare.

"What can a night patrol robot do?" Delivery to the responsible staff member once something is detected is within 30 seconds; staff check and respond. Nursing home safety thumbnail with the question and a diagram.

The functions our AI nursing home patrol robot provides today are fall candidate detection, an alert when a person is found in a time window and place you have set, and patrol gap monitoring. Delivery to the responsible staff member once something is detected is within 30 seconds. It makes no medical diagnosis.

Three things the AI nursing home patrol robot does. 1 Fall candidate alert, 2 Time and place alert, 3 Patrol gap alert. Delivery time is within 30 seconds. Staff check and respond.
Three things the AI nursing home patrol robot does. 1 Fall candidate alert, 2 Time and place alert, 3 Patrol gap alert. Delivery time is within 30 seconds. Staff check and respond.

At night, a small number of staff have to cover several floors. The patrol robot goes around corridors and common areas all night taking photos, picks out the situations staff should check first, and notifies the responsible staff member. Staff make the final judgment and the response.

A photo of the patrol robot standing in a large common area of a facility. The robot has a screen on top, with tables and chairs around it.
A photo of the patrol robot standing in a large common area of a facility. The robot has a screen on top, with tables and chairs around it.

What to look at here: The robot goes around common areas and corridors like this and takes photos.


What functions does it provide today?

Three.

Three things it tells staff about. 1 Fall candidate (lying or slumped on the floor), 2 A person at a set time and place (for example, an entrance or common area at night), 3 Patrol gap (a floor or time window missing from last night's photos). Staff make the final judgment and the response.
Three things it tells staff about. 1 Fall candidate (lying or slumped on the floor), 2 A person at a set time and place (for example, an entrance or common area at night), 3 Patrol gap (a floor or time window missing from last night's photos). Staff make the final judgment and the response.

What to look at here: All three functions are about "notifying"; staff do the responding.

FunctionWhat it does
Fall candidate detectionIt finds people in the photos taken during patrol, and if a person is lying or slumped on the floor rather than on a bed or chair, it reports a fall candidate
Alert when a person is found in a set time window and placeThe time window and place are set at installation to match the facility's request, and can be changed during operation. Places are set within the area the robot patrols
Patrol gap monitoringIf a floor or time window is missing from last night's patrol photos, the manager is notified the next morning

How does it pick a fall candidate?

First it finds people in the patrol photo, then looks at their posture.

A photo of a facility corridor taken by the patrol robot, with the AI drawing blue boxes around two people. The boxes are labeled person 0.83 and person 0.81, and the faces are covered with a bear illustration.
A photo of a facility corridor taken by the patrol robot, with the AI drawing blue boxes around two people. The boxes are labeled person 0.83 and person 0.81, and the faces are covered with a bear illustration.

What to look at here: The AI draws a box around each person in the photo. At this stage it finds every person, including those who are standing.

If a person it found is lying or slumped on the floor rather than on a bed or chair, that becomes a fall candidate.

A staged scene of a person lying on the floor next to the patrol robot. Staff acted it out and the face is covered. Video scene: Seoul National University Active Aging HAI Center.
A staged scene of a person lying on the floor next to the patrol robot. Staff acted it out and the face is covered. Video scene: Seoul National University Active Aging HAI Center.

What to look at here: A posture like this, slumped or lying on the floor, is a fall candidate. This is a scene staged by staff.


How does the alert arrive?

When a fall candidate, or a person at a set time and place, is detected, a KakaoTalk notification (Alimtalk) goes to the registered staff member's phone. Delivery to the responsible staff member once something is detected is within 30 seconds.

The order in which alerts are sent. 1 The robot patrols and photographs corridors and common areas, 2 The AI judges the photo, 3 An Alimtalk goes to the responsible staff member (delivery time is within 30 seconds), 4 Staff first view the situation through the photo link, then go to check and respond.
The order in which alerts are sent. 1 The robot patrols and photographs corridors and common areas, 2 The AI judges the photo, 3 An Alimtalk goes to the responsible staff member (delivery time is within 30 seconds), 4 Staff first view the situation through the photo link, then go to check and respond.

What to look at here: Steps 1 to 3 are done by the robot and the AI; step 4 is done by staff.

The KakaoTalk Alimtalk screen on the responsible staff member's phone. It reads "Notice to staff on floor 2F. A person was detected at 2." and has a "View captured image" button. This is a demo screen.
The KakaoTalk Alimtalk screen on the responsible staff member's phone. It reads "Notice to staff on floor 2F. A person was detected at 2." and has a "View captured image" button. This is a demo screen.

What to look at here: The alert states the floor and location, and the "View captured image" button opens the photo right away.

On the admin screen you can view the original photo taken at that time side by side with the photo the AI judged.

The event log on the admin screen, showing the original photo and the analyzed photo side by side. In the analyzed photo, a box is drawn around the person lying on the floor. This is a scene staged by staff.
The event log on the admin screen, showing the original photo and the analyzed photo side by side. In the analyzed photo, a box is drawn around the person lying on the floor. This is a scene staged by staff.

What to look at here: Before going, staff first see the situation in the photo. They only need to look at the events that require a check, not at every photo taken.

The AI's judgment is an aid and does not replace the night staff's rounds.


What does it not do?

It makes no medical diagnosis, and it cannot see places the robot does not pass.

What it tells you and what it does not do. It tells you: fall candidates, a person at a set time and place, floors and time windows missing from patrol. It does not: make medical diagnoses or judge illnesses, monitor inside rooms the robot does not pass, monitor areas outside the patrol range, or replace staff rounds.
What it tells you and what it does not do. It tells you: fall candidates, a person at a set time and place, floors and time windows missing from patrol. It does not: make medical diagnoses or judge illnesses, monitor inside rooms the robot does not pass, monitor areas outside the patrol range, or replace staff rounds.

What to look at here: Places the robot does not pass, such as inside rooms, need to be planned for together with other methods.

  • Medical diagnosis: It only reports a fall candidate; it does not judge why the person fell or what illness they may have
  • Inside rooms: The robot looks at photos taken while on patrol. It cannot see inside rooms the robot does not pass
  • Outside the patrol range: It only alerts when a person is found within the area the robot patrols

How is the demo run?

It starts with a 30-minute remote demo.

The order of viewing a demo. 1 Remote demo, 30 minutes (see the alert flow through screen sharing), 2 On-site demo, 90 minutes (at a facility considering adoption), 3 Trial operation (discussed separately, together with the robot installation schedule). The video handling standard and the resident and family notice standard are set together before the demo.
The order of viewing a demo. 1 Remote demo, 30 minutes (see the alert flow through screen sharing), 2 On-site demo, 90 minutes (at a facility considering adoption), 3 Trial operation (discussed separately, together with the robot installation schedule). The video handling standard and the resident and family notice standard are set together before the demo.

What to look at here: At first you can see it through screen sharing, without a visit to the facility.

  1. Remote demo, 30 minutes: We show the service flow and how alerts are delivered through screen sharing, and answer questions
  2. On-site demo, 90 minutes: We visit the facility considering adoption and show it there
  3. Trial operation: Running it yourselves at the facility for a period requires the patrol robot installation schedule to be set as well, so we discuss it separately

The video handling standard and the resident and family notice standard are set together with the facility before the demo.


What should a facility prepare?

If you sort out the following 8 items before the demo, the scope of the demo can be set right away.

8 things for a facility to prepare before the demo. Number of floors and residents, night staff and current patrol method, situations of concern, Wi-Fi across the whole patrol area, robot charging spot and power, floor plan or corridor photos, video retention period and access rights, who receives alerts and the response order. The last item is the most important.
8 things for a facility to prepare before the demo. Number of floors and residents, night staff and current patrol method, situations of concern, Wi-Fi across the whole patrol area, robot charging spot and power, floor plan or corridor photos, video retention period and access rights, who receives alerts and the response order. The last item is the most important.

What to look at here: The last item, "who receives alerts and the response order," is the most important.

  • Facility size: Number of floors (buildings) and number of residents
  • Night shift: Number of night staff and the current patrol method
  • Situations of concern: Whether it is falls, or residents coming out into the corridor at night
  • Corridor Wi-Fi: Whether it stays connected across the whole patrol area
  • Robot charging location: A spot where power is available
  • Floor plan or corridor photos: Used to set the scope of the demo
  • Personal information handling standard: Video retention period and access rights. Check the legal standard that applies to your type of institution with the responsible department of your institution
  • Alert recipients and response order: Who goes to check after an alert is received

An alert has no effect if it is not settled who will go to check and in what order.


Frequently asked questions

Can it tell when a resident comes out into the corridor at night?

When a person is found in a time window and place you have set, it reports them as a subject for staff to check. The time window and place are set at installation and can be changed during operation. Delivery to the responsible staff member once something is detected is within 30 seconds.

Will an alert come if someone enters an area that is closed off?

If it is within the area the robot patrols, it alerts. It does not separately monitor a specific area outside the patrol range.

Can it tell if someone falls inside a room?

It cannot see inside rooms the robot does not pass. Such places are planned for together with other methods.

What does patrol gap monitoring tell us?

If a floor or time window is missing from last night's patrol photos, the manager is notified the next morning.

How do we see a demo?

You can see it first through a 30-minute remote demo or a 90-minute on-site demo. Trial operation is discussed separately, together with the patrol robot installation schedule.

Does it add a lot of new work for staff?

You only need to decide who receives the alert and goes to check, and in what order. The remote demo shows that flow.

Next step

You can see how the three alerts would arrive at your facility in a 30-minute remote demo. The same content is also on the nursing home fall alert AI robot page, together with the frequently asked questions.


Sources (checked 2026-10-07): SV Robotics nursing home fall alert AI robot solution page. The photos are demo photos published on the same page, and the scene of the person on the floor is staged by staff (video scene: Seoul National University Active Aging HAI Center). Costs and detection performance figures are not given because they vary with each facility's conditions.

  • #nursing home robot
  • #patrol robot
  • #fall detection
  • #night safety
  • #nursing home demo

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