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QuickFeather Dev Kit with SensiML AI Analytics Toolkit

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QuickFeather Development Kit Diagram

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

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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:

  • GigaDevice 16-Mbit of flash memory #GD25Q16CEIGR
  • mCube MC3635 accelerometer
  • Infineon DPS310 pressure sensor
  • Infineon IM69D130 PDM digital microphone
  • Powered from USB or a single Li-Po battery
  • Integrated battery charger
  • USB data signals tied to programmable logic

The SensiML Analytics Toolkit suite automates each step of the process for creating optimized AI IoT sensor recognition code. The overall workflow uses a growing library of advanced ML and AI algorithms to generate code that can learn from new data either during the development phase or once deployed.

The free Community Edition of the SensiML Analytics Toolkit is ideal for experimenters, innovators and R&D teams, and features a lifetime license that never expires. It enables endpoint IoT developers to download the software and quickly begin developing, prototyping, and evaluating AI functionality for their applications without cost or risk.

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Use Cases


Predictive Maintenance, Anomaly Detection, Process Control and Inspection, and Industrial Wearables


Occupancy Aware Smart Lighting and Smart City Infrastructure


Livestock Wearables


Virtual Coaching Smart Wearables

SensiML Benefits

  • Significant TTM Gains: 5x faster development over hand-coded algorithms
  • AI Without Data Science Complexity: AutoML tool usable by mainstream developers
  • Runs on EOS S3 AI: Enabling practical AI application on embedded wireless IoT devices
  • Maximize Your Hardware: Smart compilation optimizes for QuickFeather Dev Kit
  • Extensibility and Flexibility: Add algorithms, change hardware, customize code as desired
  • Proven Solution: Launched in 2016 by Intel, now independent and greatly expanded

EOS S3 AI 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.


  • 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


SensiML Product Brief

Product Brief

Description of the SensiML Toolkit product offering including high level benefits, applications, toolkit components, and supported offerings.

Read Brief

SensiML Toolkit Technical Overview

Technical Overview

Technical document providing a toolkit overview and descriptions of the four primary components: Data Capture Lab, SensiML Analytics Studio, SensiML Knowledge Pack, and SensiML TestApp.

Read Document

Climate Change Contest Projects


View submitted proof of concepts using Quicklogic's Quickfeather Dev kit and SensiML's toolkit that addresses a challenge related to climate change.

View Projects

Product Videos

Introduction to QuickFeather, EOS S3 Open Source Hardware Dev Kit

Introduction to QuickFeather, EOS S3 Open Source Hardware Dev Kit (Chinese)

Downloading Firmware eFPGA Binaries using TinyFPGA

Running “Hello World” on a QuickFeather Dev Kit

Webinar: Endpoint AI Without Writing Code

SensiML Overview

Webinar: Connecting New I2C Sensors to QuickFeather Dev Board & Capturing Data in SensiML

SymbiFlow with QuickFeather – A simple FPGA Programming Example

Connecting QuickFeather and Data Capture Lab over WiFi: A configuration guide utilizing the ESP32

SymbiFlow with QuickFeather – A simple FPGA Programming Example

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