ML-Powered · YOLO Algorithm · Real-time Detection

Intelligent Monitoring for
Alzheimer's Patients

ElderWatch uses machine learning and body-movement detection to monitor patients in real time, automatically alerting caregivers and guardians when incidents occur.

Real-time
Body Movement Detection
YOLO
Detection Algorithm
SMS
Instant Notifications
24 / 7
CCTV Monitoring

Admin Capabilities

A centralised portal for managing every aspect of the ElderWatch ecosystem.

View All Reports

Access a complete overview of all incident and monitoring reports across every patient and caregiver in the system.

Caregiver Management

Register and manage caregiver accounts, assign patients, and review their activity monitoring and incident reports.

Guardian Management

Manage guardian profiles and their access to caregiver monitoring reports and patient status information.

Patient Info

Maintain detailed patient records and link them to the YOLO-powered body posture detection system for continuous monitoring.

CCTV Device Register

Register and manage CCTV devices used by caregivers for real-time patient surveillance and incident detection.

Real-time Alerts

Caregivers receive instant alert notifications for real-time detection incidents. Guardians receive SMS notifications automatically.

How It Works

A seamless flow of data between patients, caregivers, guardians, and the admin.

01

Patient Monitored

CCTV cameras capture body movements using the YOLO detection algorithm around the clock.

02

Incident Detected

Machine learning models analyse posture and movement to identify falls or unusual behaviour.

03

Caregiver Alerted

Real-time alert notifications are pushed to the assigned caregiver immediately.

04

Guardian Notified

SMS notifications are automatically sent to the patient's guardian with incident details.

Ready to get started?

Log in to the admin portal to manage caregivers, guardians, patients, and view all monitoring reports.

Go to Admin Portal