Video only when a
fall is detected
Avoiding unnecessary ER visits from falls in memory care is now more important than ever.
Amid COVID-19 distancing measures, falls in
memory care have increased by 20 percent.
SafelyYou's fall detection and prevention technology
are here to help.
Results-driven AI technology designed for fall prevention in memory care

Residents in memory care fall an average of 4 times per year. SafelyYou provides detection technology to support.

93% of falls detected 1 false alarm every 19 days
greater than 99% accuracy

70% reduction in need for Emergency Medical Services
80% reduction in need for
Emergency Medical Services
Emergency Medical Services

40% fewer falls
40% fewer falls
Accessible & Secure


No software to
download
download

No audio
recording
recording

Fall video available
immediately
immediately

Strict privacy
standards
standards

No wearable
devices
devices
Real-time fall detection technology that empowers care staff

SafelyYou empowers care staff to implement fall prevention programs based on the following insights derived through the fall detection video review

WHAT
caused the resident to go to the ground

WHERE
The resident fell vs where they were found

WHEN
The event started vs when the resident was found

WHY
The resident got up in the first place

HOW
Mobility aids used might present a risk factor.
Interested in learning more?
Innovation backed by research

SafelyYou stemmed from UC Berkeley's Artificial Intelligence Research Lab – one of the top 5 AI Research groups in the world.
Journal of Medical Internet Research, October 2017


"The goal is to help senior living providers update their operations and minimize those risks in light of the information provided by the images."


"Similar fall detection technologies in various stages of testing include SafelyYou, which uses wall-mounted cameras and software algorithms to detect falls"


"Until recently, Personal Emergency Response Systems (PERS) — made famous by the TV ads — was the only technology to help older adults who had fallen."