Micros

Microcontrollers target variety of IoT applications

1st June 2018
Mick Elliott
0

The EFM32GG11 Giant Gecko Series 1 microcontrollers from Silicon Labs are in stock at Mouser Electronics. Part of Silicon Labs’ energy-friendly EFM32 Gecko portfolio, the EFM32GG11 Giant Gecko Series are industrial-strength microcontrollers that deliver higher performance, more features and lower power.

The microcontrollers offer an advanced feature set, targeting Internet of Things (IoT), wearable tech, smart metering, asset tracking, industrial and building automation, and personal medical applications.

They combine peak 72MHz processing performance, large memory options, peripherals and hardware accelerators, and comprehensive software tools.

The devices are based on a 32-bit Arm Cortex-M4 core with up to 2048Kbytes of flash program memory and up to 512Kbytes of RAM data memory to support performance-intensive applications.

Providing a safe, secure platform for building applications with excellent cryptography, the microcontrollers feature a high-performance, energy-efficient security accelerator, a security management unit (SMU) supporting fine-grained security for peripheral access, and a NIST-certified true random number generator (TRNG) for higher security randomisation.

The cryptographic hardware engine also supports AES, ECC, and SHA security encryption.

A variety of new features include an octal/quad-SPI memory controller, SD/MMC/SDIO controller and dual CAN bus controllers.

Developers can also take advantage of the microcontrollers’ graphics engine, robust capacitive touch sensing capabilities, and 10/100 Ethernet MAC for IP-based industrial control.

The microcontrollers are software compatible across the entire EFM32 MCU and EFR32 Wireless Gecko SoC portfolio, enabling developers to reduced design time and cost.

Additionally, Silicon Labs' Simplicity Studio development tools support the Gecko microcontrollers, giving developers one-click access to everything needed to complete projects in a unified Eclipse-based environment.

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