QuickLogic: QuickFeather FPGA Development Board with EOS S3 MCU Platform

EOS S3 Low Power MCU with embedded FPGA - Supported by 100% Open Source Hardware Development Kit and Software Tools

The QuickFeather Development Kit is a small form factor system ideal for enabling the next generation of low-power Machine Learning (ML) capable IoT devices. Unlike other development kits which are based on proprietary hardware and software tools, QuickFeather is based on open source hardware, compatible with the Adafruit Feather form factor, and is built around 100% open source software (including the Symbiflow FPGA Tools).

The QuickFeather is powered by QuickLogic’s EOS™ S3, the first FPGA-enabled Arm Cortex®-M4F MCU to be fully supported with Zephyr RTOS. Other functionality includes:

Features & Specfications

• 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
• Feather Form Factor
  • Breadboard-compatible 0.1" (2.54 mm) pitch headers - all headers are pre-soldered
  • 2.3" x 0.9" (58.4 mm x 22.9 mm) footprint
  • All 20 Feather-defined GPIO + 13 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
  • I²S
  • SPI
• Storage: 16 Mbit SPI NOR flash - GigaDevice GD25Q16CEIGR
• Sensors
  • Accelerometer - mCube MC3635
  • Pressure sensor - Infineon DPS310
  • Digital pulse density modulation (PDM) microphone - Infineon IM69D130
• User Interfaces
  • RGB LED
  • User pushbutton
  • Reset pushbutton
• Power
  • USB micro Type-B connector (regulated to 3.3 V)
  • Li-Po battery
    • On-board charging circuitry - Microchip MCP73831/2
    • Standard Li-Po JST connector
• Software
  • Machine Learning
    • TensorFlow Lite
    • SensiML
  • Real-time Operating Systems
    • Zephyr RTOS
    • FreeRTOS
  • FPGA Tools
    • SymbiFlow
    • Renode

Applications

• Tiny ML applications such as with SensiML’s AI Software Platform and Google’s TensorFlow Lite
• General purpose MCU applications

Whether you are a hacker, a hobbyist, a consultant or part of large development team, QuickFeather can help kickstart your tiny ML application development.

Benefits

• No more multi Gigabyte software installs, no more of the hassles associated with proprietary tools, no more vendor-specific hardware incompatible with the industry
• QuickFeather is small, Feather compatible, inexpensive, and is 100% supported by open source tools.
• With a Cortex®-M4F MCU and integrated eFPGA, the onboard EOS S3 lets you innovate with 100% open source hardware and software.