Data Pattern Learning
Learns each user’s unique data patterns and derives personalized baseline ranges.

Biometric Data Monitoring Solution
A reassurance care solution that analyzes vital and location data collected through wearables using AI, enabling families and organizations to monitor users in real time through an integrated CMS.
The core value lies not in simply displaying numbers, but in processing data through AI-based technology and predictive models.
Learns each user’s unique data patterns and derives personalized baseline ranges.
Detects sudden changes in collected biometric data in real time.
Predicts the likelihood of potential incidents in advance based on learned data patterns.
From data collection to AI analysis, alerts, and monitoring, every step is connected in a single workflow.

Monitor wellness conditions in real time and manage them systematically through the watch.

Dr. Robin provides technologies for real-time body temperature monitoring and location data management using smart bands.
47mm (L) x 39mm (W) x 13mm (H)
ABS Plastic
Touch: Capacitive Single Touch
Material: Flat Glass
Type: 1.85-inch Color Display
Resolution: 240 x 280
48.5±2g
Silicone Band
Polymer Lithium-Ion
Magnetic Charging Cable
800mAh
624MHz
RAM 128Mb + ROM 128Mb
3.8V (3.6 ~ 4.35V)
IP67
-20°C ~ 50°C
Touch + 2 Function Buttons
4G
Nano-SIM
| LTE Version | FDD Cat.1 |
| Supported Bands | B1/B3/B5/B7/B8 |
| Modulation | QPSK, 16QAM |
| Bandwidth | 5MHz, 10MHz, 15MHz, 20MHz |
| Transmission/Reception | 1TX, 1RX |
For pricing, packages, and additional details, please refer to Product Information .
Care for yourself and the people around you, and easily understand changes in condition through AI-powered analysis.

View real-time vital and activity data at a glance.
Remotely monitor the wellness and location status of care recipients.
Securely share data with family members and organizations and receive alerts.
AI-powered insights help support better lifestyle habits.
Administrators in a monitoring center can manage and monitor multiple users in real time based on live data.
