

Silicon Labs
EFM32GG12B430F512IQ64-AR
Why Choose Us?
Professional Platform
B2B & B2C purchasingDelivery at full speed
1-2 days deliveryWide variety
Original manufacturers365 days guarantee
Responsible qualityTech Specifications
EFM32GG12B430F512IQ64-AR Description
The EFM32GG12B430F512IQ64-AR is a microcontroller unit (MCU) from Silicon Labs' EFM32 Giant Gecko with Gesture Control (GG12) series. This MCU is designed for high-performance applications that require advanced gesture recognition capabilities.
Description:
The EFM32GG12B430F512IQ64-AR is a 32-bit ARM Cortex-M33-based MCU with an integrated gesture recognition engine. It features a 48 MHz CPU clock speed and 512 kB of flash memory. The MCU is packaged in a 64-pin, 7x7 mm QFN package.
Features:
- ARM Cortex-M33 processor with DSP instructions and FPU
- Integrated gesture recognition engine
- 512 kB flash memory and 192 kB SRAM
- 12-bit ADC with 2.5 MSPS sampling rate
- 16-bit DAC with 2 MSPS update rate
- AES-256 and True Random Number Generator (TRNG) for secure data encryption
- USB interface with host and device support
- CapTouch capacitive touch sensing
- Low-power sleep modes for energy efficiency
- Integrated temperature sensor
- 48 MHz external crystal oscillator
Applications:
The EFM32GG12B430F512IQ64-AR is suitable for a wide range of applications that require advanced gesture recognition capabilities. Some potential applications include:
- Smart home appliances: The MCU can be used in smart home devices like lighting systems, air conditioners, and smart locks to enable gesture-based control.
- Industrial automation: The MCU can be used in industrial control systems to enable gesture-based control of machines and equipment.
- Robotics: The MCU can be used in robotic systems to enable gesture-based control and navigation.
- Wearable devices: The MCU can be used in smartwatches and fitness trackers to enable gesture-based control and user interaction.
- Automotive: The MCU can be used in automotive applications like infotainment systems and advanced driver assistance systems (ADAS) to enable gesture-based control and user interaction.
Overall, the EFM32GG12B430F512IQ64-AR is a powerful and versatile MCU with advanced gesture recognition capabilities, making it suitable for a wide range of high-performance applications.



.png)









.png?x-oss-process=image/format,webp/resize,h_32)










