SparkFun QuickLogic Thing Plus EOS S3 – Small Feather Form Factor System Low-Power Machine Learning Device Powered by eFPGA-Enabled Arm Cortex M4F MCU FPGA Microcontroller

Brand: SparkFun

Color: Black

Features:

• Features: EOS S3 MCU + eFPGA SoC: Arm Cortex-M4F Microcontroller: up to 80 MHz operating frequency; up to 512 KB SRAM. Embedded FPGA (eFPGA): 2400 effective logic cells; 64 Kb RAM
• Thing Plus Form Factor: Breadboard-compatible 0.1″ (2.54 mm) pitch headers; 2.75″ x 0.9″ (70 mm x 22.9 mm) footprint; All 20 Feather-defined GPIO + 14 additional GPIO. Interfaces: SWD programming connector for use with USB-TTL converter; USB data signals are tied to eFPGA programmable logic; UART available via I/O headers; I2C available via I/O headers, and Qwiic Connector, SPI, I2S
• Storage: 16 Mbit SPI NOR flash – GigaDevice GD25Q16CEIGR. Sensors: 3-Axis 12-bit Accelerometer – STMicro LIS2DH12TR; Digital pulse density modulation (PDM) microphone with Wake-on-Sound (WoS) feature – Vesper VM3011-U1
• User Interfaces: RGB LED; User pushbutton; Reset pushbutton. Power: USB Type-C connector (regulated to 3.3 V), Single Cell LiPo battery (not included); On-board charging circuitry – Microchip MCP73831/2; Standard LiPo JST connector
• Software: Machine Learning: TensorFlow Lite and SensiML. Real-time Operating Systems: Zephyr RTOS and FreeRTOS. FPGA Tools: SymbiFlow and Renode

Details: The SparkFun QuickLogic Thing Plus EOS S3, is a small form factor system ideal for enabling the next generation of low-power Machine Learning (ML) devices. The QuickLogic Thing Plus is powered by QuickLogic’s EOS S3, the first eFPGA-enabled Arm Cortex-M4F MCU to be fully supported with Zephyr RTOS and FreeRTOS. Unlike other development boards which are based on proprietary hardware and software tools, the QuickLogic Things Plus is based on 100% open source hardware, compatible with the Feather form factor, and is built around 100% open source software (with support for FreeRTOS, Zephyr, nMingen, Docker, and SymbiFlow).
Between the onboard LiPo battery connector and charging circuitry, wake-on-sound PDM microphone, and low-power, three-axis accelerometer, this Thing Plus board is ideal for wearable, voice, gesture sensing applications. The strong firmware support for the microphone and accelerator make it easy to move sensor data into the embedded FPGA. From there, you can use SensiML, TensorFlow Lite, or other tools to train and run embedded machine learning algorithms specific to your application. The board also includes a Qwiic connector to quickly interface with an ecosystem of 150+ I2C-compatible boards such as sensors, RFID readers, displays, keypads, and relays.
The SparkFun Qwiic Connect System is an ecosystem of I2C sensors, actuators, shields and cables that make prototyping faster and less prone to error. All Qwiic-enabled boards use a common 1mm pitch, 4-pin JST connector. This reduces the amount of required PCB space, and polarized connections mean you can’t hook it up wrong.

UPC: 845156011605

Package Dimensions: 21x100x9