Based on a low-power Arm Cortex-M4 processor with a floating point unit (FPU) and an AI accelerator, the platform features large computation capacity required by AI algorithms. The QueSSence platform’s 6-axis accelerometer and gyroscope enables engineers to easily integrate sensor data, and with 400 Kbytes of RAM and up to 4 Mbytes of dedicated flash memory, the platform can store up to 25,000 sensor values. Support for voice activity detection (VAD) and up to eight capacitive touch sensor inputs enable AI applications that incorporate voice and touch interfaces. QueSSence can serve a wide range of IoT applications through certified support for multiple wireless protocols, including 802.11a/b/g/n Wi-Fi, dual-mode Bluetooth 5, 802.15.4 (capable of running Thread or Zigbee), and 802.11ah. The platform offers multiple levels of security, including physically unclonable function (PUF), crypto hardware accelerators, and secure bootloader to create a highly secure system.
Mouser Electronics – www.mouser.com