User's Manual

Table Of Contents
8
1. Installation and General Information
1.1 Introduction
Thank you for choosing the Sentinare smart activity sensor system, the ideal solution for senior
care, remote patient monitoring, telehealth, and other applications where privacy is
indispensable. The Sentinare sensor has a build-in AI chip, and uses the latest deep learning
algorithms to monitor the activities of people, collect useful activity statistics, and identify
changes to routine patterns. When emergencies such falls are detected, it can notify the
caregivers immediately. It also performs fall risk assessment. To protect the privacy, only stick
figure animations are transmitted, instead of raw videos. The stick figure animations can be
saved in the cloud, which can be used to analyze people’s health, investigate incidents, improve
quality of service of care workers, help doctors to detect some diseases earlier (such as
Parkinson’s disease, dementia, and depression), and help doctors and patients during
rehabilitation.
Most contents in this user manual apply to both the first-generation Sentinare sensor (Cypress)
and the second-generation Sentinare sensor (Sentinare 2). A few features and operations are
slightly different, and are explained separately.
Sentinare has the following main features. We are also constantly adding new and exciting
features to the system.
Privacy Preservation
Fall Detection
Fall Risk Assessment
Waving Hand Detection
Region of Interest (ROI) Monitoring:
Entrance/Exit Management
Restricted Region
Stick-Figure Recording
Face Recognition
Activity Statistics
Voice Call
Infrared Mode
Secondary User
Mobile App and Web Interface
API for third part integration