速報APP / 生活品味 / HomeEXCEPT

HomeEXCEPT

價格:免費

更新日期:2020-08-04

檔案大小:42.5 MB

目前版本:2.0.5

版本需求:系統需求:iOS 10.3 或以後版本。相容裝置:iPhone、iPad、iPod touch。

支援語言:英語

HomeEXCEPT(圖1)-速報App

Remote, non-intrusive, predictive monitoring for senior living that respects privacy, dignity, and independence.

HomeEXCEPT uses the latest advances in technology and data science to reduce the risks in senior living without using cameras or buttons.

Wireless sensors monitor activities of daily living. HomeEXCEPT software analyzes activity in real-time and identifies EXCEPTions to normal behaviour. Seniors living independently feel an extra sense of security while their caregivers enjoy greater peace of mind.

** Works Anywhere **

At home, apartment, high rise building, hospital, or senior living complex. Our wireless network extends your internet coverage into every corner. Even outside to the yard or grounds.

** Easy to use Applications **

Check in on activities of daily living from your mobile or desktop. Receive alerts when EXCEPTions occur. Have informed conversations when you see changes in routines related to mobility, medication, assists, sleeping, toileting, nutrition, etc.

** Wireless **

HomeEXCEPT(圖2)-速報App

Two year battery life and no wires allow for easy installation and low maintenance.

** Non-Intrusive & Private **

We believe that monitoring solutions should not come at the expense of privacy. No Cameras. No Listening. Your data is anonymous. HomeEXCEPT does not know who and where is being monitored. Only you and your authorized users know the context.

** You're in Control **

It takes many hands to get the most out of risk monitoring. Our app allows you unlimited users so you can build a full support team. Family, friends, and caregivers.

** Smart & Remote **

Continuous machine learning identifies changes in activity to predict risks. Alerts notify you when action is required. Works anywhere on mobile, tablet, desktop with our apps or SMS.

** Advanced **

HomeEXCEPT(圖3)-速報App

We use the most technologically advanced sensors, mesh networking, and deep learning techniques to learn normal routines and alert you of the EXCEPTions.