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Kepler Night Nurse

by Kepler Vision Technologies

AI Application
Low Confidence

Kepler Night Nurse is fall-detection software for nursing homes, mental-health wards and hospitals, used by care staff who receive its alerts through the nurse-call system on their phones. The vendor says computer-vision AI analyses the live image of a ceiling-mounted optical sensor and recognises posture and movement: a fall or a person on the floor, sitting on the edge of the bed, getting out of bed or a chair, lying position in bed, entering or leaving the room, and staying too long in the bathroom. Video is not recorded and faces are blurred, per the vendor. Per room, the care organisation chooses which alerts are active; carers decide how to respond. Kepler sells two editions: Night Nurse On Server, which runs on an Edge Appliance in the care organisation's network (up to 50 sensors each), and Night Nurse On Camera, sold with MOBOTIX c71 cameras as Kepler NurseAssist, where the analysis runs on the camera itself. The vendor says it is integrated with dozens of nurse-call systems.

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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

Fall Detection
Fall Risk Alerting
Bed Exit Detection
Room Exit Detection
Lying Position Detection
Nurse Call Integration

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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