1. Make sure the power supply is normal before using the smart health scale.
2. When a user stands barefoot on the smart health scale ( face the direction of smart health scale
display with each foot stepping on the ITO film of the smart health scale), once the body weight is
more than 5kg, the smart health scale will start measuring weight and body resistance and
display weight on the screen. The smart health scale will automatically turn off five seconds after
the user stepping off the scale.
3. When the smart health scale is on, switch weight unit (kg, lb, St) by pressing the Reset button
on the back of the scale .
4. When the smart health scale is off, press and hold the Reset button for 5 seconds or more, the
smart health scale enters configuration status, and then the user can bind smart health scale to the
app.
Specifications
Name: Bluetooth Wi-Fi Smart Scale
Model: Koogeek-S1
Users: Up to16 users
Measuring Range: 5kg-150kg
Function: Measuring weight, BMI, body fat, body water, lean mass, bone mass, visceral fat, BMR
Power Supply: 4 * AA Battery
Size: 315mm * 315mm * 29 mm
Weight: 2.5kg
Wireless: Bluetooth 4.0, Wi-Fi
Display Screen: LED (Blue)
Color: White
Supported System: Android, iOS
Compatible iOS devices: iOS 8.0 or above
Compatible Android devices: Android 4.3 or above
Operating Temperature: 0°C to 56°C
Relative Humidity: 0-95%
Material: ITO tempered glass + ABS
APP Introduction
1. APP Download Website:
www.koogeek.com
2. APP Installation: For Android mobile phones, please download the app through the official web
site, and install directly on the phone; For iOS mobile phones, please download through app store
and install the app.
3. APP Instructions
3.1 When installing the app for the first time, the user needs to register a new user account and log
in.
3.2 Choose the smart health scale in the device list on the app, when a user stands on the smart hea
lth scale, it can be connected via Bluetooth with the app on the smart phone and the app can get m
easuring results and calculate the eight groups of health data.
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