SWITCH BOT Vision lock keyboard arcfelismeréssel
not available
Product description
The SwitchBot Keypad Vision keyboard recognizes your face in 1 second using iPhone-compatible 3D scanning technology. Protects against fraud attempts by photos or recordings, guaranteeing safe and immediate door opening - without touching anything.
Confident operation at any time
The built-in infrared backlight and the dual light sensor enable reliable face recognition both day and night. The device automatically switches to night mode and works quieter than 20 dB so as not to disturb the members of the household.
It can be opened in up to nine ways
Keypad Vision supports up to nine access methods - from face and fingerprint recognition to password, NFC, card, key, voice command, Bluetooth and smartwatch. Users can also define four types of passwords: permanent, one-time, temporary and digit-masked - ideal for family, guests or housekeeping.
Energy for the whole year
With the 5000 mAh battery, the device requires charging only once a year. The intelligent energy-saving system activates the face sensor only when someone approaches the door, thus extending the operating time and reducing unnecessary battery consumption.
Wireless installation and high resistance
Keypad Vision requires no wiring or drilling - just stick it to the door with mounting tape. The IP65 protected housing is resistant to rain, dust, low and high temperatures, so it will be perfect for both indoor and outdoor use.
Real-time security
The lock sends an alert if tampering is attempted or if the device is removed. Connecting to the SwitchBot app (Hub required) allows you to remotely monitor the status of the door and manage access anytime - from anywhere.
Contains the
- SwitchBot Keypad Vision lock keyboard
- Assembly kit (adhesive tape + screws)
- USB-C cable for charging
- User manual
Description:
- Manufacturer: SwitchBot
- Model: Keypad Vision
- Dimensions: 131 × 65 × 30 mm
- Weight: 205 g
- Power supply: 5000 mAh battery (charge once a year)
- Face recognition time: 1 s
- Recognition accuracy: 99%
- Operating noise: