Long-term care & skilled nursing
Shared hallways, dining rooms, and other common areas where staff cannot watch every camera live.
Features
NeuraVue detects potential abuse, falls, wandering, and distress on your community’s existing cameras, and alerts staff in the NeuraVue mobile app. No new cameras. Runs on your on-site server (GPU capability required).
Shared hallways, dining rooms, and other common areas where staff cannot watch every camera live.
Earlier awareness for teams supporting residents who still move through the community on their own.
Faster awareness when someone moves toward an exit or a restricted area.
NeuraVue provides privacy-first earlier awareness, so you get a faster response and 24/7 visibility across your community.
Using your existing camera feeds.
Automated analysis. No human monitoring. GPU capability required.
Delivered through the NeuraVue mobile app, typically within 10–15 seconds.
Staff quickly assess what happened and take the appropriate action.
NeuraVue detects physical interactions in monitored areas that may indicate potential abuse, such as hitting (including slapping and punching), kicking, grabbing (including hair-pulling), and pushing or shoving. It is designed to tell these apart from normal care like lifting, bathing, and feeding. The analysis uses the live feed from IP cameras the community already operates.
Staff can step in earlier. Leaders get a reviewable alert in the NeuraVue mobile app, and a caregiver decides what to do.
Fall Detection analyzes the live feed for potential falls in monitored areas and sends an alert to staff in the NeuraVue mobile app.
Less time before help arrives.
It detects movement toward exits or restricted areas on the cameras already covering those spaces, and alerts staff in the NeuraVue mobile app.
Faster awareness, especially in memory care.
It detects visible distress or a wave for help in monitored areas, including when a resident cannot reach a call bell.
A response even when a resident can’t reach a call bell.
NeuraVue detects physical interactions in monitored areas that may indicate potential abuse, such as hitting (including slapping and punching), kicking, grabbing (including hair-pulling), and pushing or shoving. It is designed to tell these apart from normal care like lifting, bathing, and feeding. The analysis uses the live feed from IP cameras the community already operates.
Staff can step in earlier. Leaders get a reviewable alert in the NeuraVue mobile app, and a caregiver decides what to do.
Fall Detection analyzes the live feed for potential falls in monitored areas and sends an alert to staff in the NeuraVue mobile app.
Less time before help arrives.
It detects movement toward exits or restricted areas on the cameras already covering those spaces, and alerts staff in the NeuraVue mobile app.
Faster awareness, especially in memory care.
It detects visible distress or a wave for help in monitored areas, including when a resident cannot reach a call bell.
A response even when a resident can’t reach a call bell.
NeuraVue supports your care team; it doesn’t replace staff or clinical judgement. An alert is a prompt to look, not proof of abuse, and it doesn’t replace an investigation. Detection isn’t prevention. Distress recognition isn’t a medical diagnosis. Wandering alerts don’t physically stop anyone.
Request a demo and we will walk through Responsive Behaviour Detection / Abuse Detection on the cameras you already have. No new cameras. Runs on your on-site server (GPU capability required).