Silicon LabsSLTB010A | BG22 ThunderboardRF/Drahtlos-Entwicklungsplatinen und Kits

EFR32BG22 Bluetooth Starter Kit

The BG22 Thunderboard is a low cost, small form factor development, and evaluation platform for the EFR32BG22 Wireless Gecko System-on-Chip. An ideal platform for developing energy-friendly connected IoT devices, the BG22 Thunderboard ships with a ready to use Bluetooth demo that works with a cloud-connected smartphone app, showcasing an easy collection of environmental and motion sensor data. A built-in SEGGER J-Link debugger ensures easy debugging through the USB Micro-B connector.



Kit Features

  • • 2.4 GHz ceramic chip antenna
  • • Power control of on-board peripherals for ultra low power operation
  • • Relative humidity and temperature sensor
  • • UV index and ambient light sensor
  • • Hall effect sensor
  • • 6-axis inertial sensor
  • • PDM stereo microphones
  • • 8-Mbit flash for OTA programming and data logging
  • • User LED and push button
  • • 20-pin 2.54 mm breakout pads
  • • SEGGER J-Link on-board debugger
  • • Virtual COM port
  • • Mini Simplicity connector for AEM and packet trace using external Silicon Labs debugger
  • • USB or coin cell battery powered.


Applications

  • • Asset tags and beacons
  • • Consumer electronics remote controls
  • • Portable medical
  • • Bluetooth mesh low-power nodes
  • • Sports, fitness, and wellness devices
  • • Connected homes
  • • Building automation and security


Related Parts

 Product Type   Part Number 
 SoC    EFR32BG22C224F512GN32-C 
 SoC    EFR32BG22C224F512IM40-C 
 SoC   EFR32BG22C224F512IM32-C 
 Development tool  SLTB010A
 Development tool   SLWSTK6021A 
 Radio board  SLWRB4182A 
 Radio board   SLWRB4183A 


Watch this Video to Learn More about the BG22 Thunderboard


No Stock Available

Quantity Increments of 1 Minimum 1
  • Manufacturer Lead Time:
    9 Wochen
    • Price: 37,0486 €
    1. 1+37,0486 €

KI-Systeme in der Medizin

Design-Tipps, empfohlene Komponenten und KI-Insights für bessere Diagnose- und Therapiegeräte – im aktuellen Whitepaper.