The QueSSence platform has a combination of AI and IoT technologies and is based on a low-power Arm Cortex-M4 processor with FPU and an AI accelerator giving the large computation capacity required by AI algorithms. The platform’s 6-axis accelerometer and gyroscope enables the easy integration of sensor data, and the 400 Kbyte RAM and up to 4 Mbyte Flash memory provides storage for up to 25,000 sensor values. Support for voice activity detection (VAD) and up to eight capacitive touch sensor inputs allows AI applications that use voice and touch interfaces.
QueSSence supports multiple wireless protocols, including 802.11a/b/g/n Wi-Fi, dual-mode Bluetooth 5, 802.15.4 (for Thread or Zigbee), and 802.11ah. The has multiple levels of security, including physically unclonable function (PUF), crypto hardware accelerators, and a secure bootloader.