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Kepler NurseAssist

by Kepler Vision Technologies

AI Application
Low Confidence

Kepler NurseAssist is the on-camera edition of Kepler Night Nurse: Kepler Vision Technologies' fall-detection AI running directly on a MOBOTIX c71 360-degree camera (sold by MOBOTIX as 'c71 NurseAssist, powered by Kepler Vision Technologies' since November 2023), so no separate server is needed. Kepler's own page for it is titled 'Kepler Night Nurse On Camera' and its FAQ says it uses the same underlying models as the server edition. It detects falls, a person on the floor, bed exits, sitting on the bed edge, entering or leaving the room and long bathroom visits, and alerts carers via the nurse-call system. This entry is superseded by kepler-night-nurse.

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Transparency Score

Weighted across four pillars · updated October 20, 2026

Overall grade
42% weighted
ABCDF
Model
—
Not yet assessed
Infrastructure
—
Not yet assessed

Capabilities

Human Activity Recognition
Patient Monitoring
Alert System
Behavior Analysis
Caregiver Support
False Alarm Reduction

Vendor Information

Complete information about the vendor/provider of this AI application

Kepler Vision TechnologiesView all products →
Kepler Vision Technologies B.V.(Trading as: Kepler Vision Technologies)
Contact Information
keplervision.eu/
info@keplervision.eu
+31 6 22 59 00 36
Registered Address
Science Park 900, Amsterdam, Noord-Holland, 1098 XH, NL

EU AI Act Provider Information

Verification Status:
Verified
(Last verified: October 20, 2026)
Kepler Vision Technologies B.V.(Trading as: Kepler Vision Technologies)
Science Park 900, Amsterdam, Noord-Holland, 1098 XH, NL
info@keplervision.eu+31 6 22 59 00 36
Compliance Documents
CE Marking: Not Applicable
Kepler's FAQ says the ideal settings are elderly-care, mental-health and hospital wards with a nurse-call system and staff trained in how alerts arise; that performance usually improves during implementation; that it records no ethnicity or age in training data, so the demographic make-up cannot be documented, although it reports testing across groups and an independent audit that found no significant bias; and that for the server version it receives on average one missed and about ten false-positive 'man-down' alerts a month (no installed-base denominator given). It says the on-camera NurseAssist version uses the same models, so performance 'should be comparable', and that feedback handling for that version is MOBOTIX's responsibility. Source: https://keplervision.eu/frequently-asked-questions/ (read 2026-10-20).
Compliance & Risk

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Added: September 9, 2026
Updated: October 20, 2026

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