{"id":7874482962669,"title":"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","handle":"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","description":"\u003ch1\u003eSparkFun 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\u003c\/h1\u003e\n\u003cdiv style=\"max-width:512px;\"\u003e\u003c\/div\u003e\n\u003ch3\u003e\n\u003cspan class=\"glyphicon glyphicon-list-alt\"\u003e\u003c\/span\u003e Description\u003c\/h3\u003e\n\u003cp\u003eThe SparkFun QuickLogic Thing Plus EOS S3, is a small form factor system ideal\nfor enabling the next generation of low-power Machine Learning (ML) devices.\nThe QuickLogic Thing Plus is powered by QuickLogic’s EOS S3, the first eFPGA-\nenabled Arm Cortex-M4F MCU to be fully supported with Zephyr RTOS and\nFreeRTOS. Unlike other development boards which are based on proprietary\nhardware and software tools, the QuickLogic Things Plus is based on 100% open\nsource hardware, compatible with the Feather form factor, and is built around\n100% open source software (with support for FreeRTOS, Zephyr, nMingen, Docker,\nand SymbiFlow).Between the onboard LiPo battery connector and charging\ncircuitry, wake-on-sound PDM microphone, and low-power, three-axis\naccelerometer, this Thing Plus board is ideal for wearable, voice, gesture\nsensing applications. The strong firmware support for the microphone and\naccelerator make it easy to move sensor data into the embedded FPGA. From\nthere, you can use SensiML, TensorFlow Lite, or other tools to train and run\nembedded machine learning algorithms specific to your application. The board\nalso includes a Qwiic connector to quickly interface with an ecosystem of 150+\nI2C-compatible boards such as sensors, RFID readers, displays, keypads, and\nrelays.The SparkFun Qwiic Connect System is an ecosystem of I2C sensors,\nactuators, shields and cables that make prototyping faster and less prone to\nerror. All Qwiic-enabled boards use a common 1mm pitch, 4-pin JST connector.\nThis reduces the amount of required PCB space, and polarized connections mean\nyou can’t hook it up wrong.\u003c\/p\u003e\n\u003cp\u003eFeatures:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFeatures: 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\u003c\/li\u003e\n\u003cli\u003eThing 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\u003c\/li\u003e\n\u003cli\u003eStorage: 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\u003c\/li\u003e\n\u003cli\u003eUser 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\u003c\/li\u003e\n\u003cli\u003eSoftware: Machine Learning: TensorFlow Lite and SensiML. Real-time Operating Systems: Zephyr RTOS and FreeRTOS. FPGA Tools: SymbiFlow and Renode\u003c\/li\u003e\n\u003c\/ul\u003e\n\n","published_at":"2022-08-06T17:45:18+10:00","created_at":"2022-08-06T17:45:29+10:00","vendor":"SparkFun","type":"Single Board Computers","tags":["electronics"],"price":21500,"price_min":21500,"price_max":21500,"available":true,"price_varies":false,"compare_at_price":null,"compare_at_price_min":0,"compare_at_price_max":0,"compare_at_price_varies":false,"variants":[{"id":43093902098669,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"B09LNTNWTW","requires_shipping":true,"taxable":true,"featured_image":null,"available":true,"name":"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","public_title":null,"options":["Default Title"],"price":21500,"weight":9,"compare_at_price":null,"inventory_management":null,"barcode":"DEV-17273","requires_selling_plan":false,"selling_plan_allocations":[]}],"images":["\/\/leoforward.com\/cdn\/shop\/products\/612J-IzRYBL.jpg?v=1659771929","\/\/leoforward.com\/cdn\/shop\/products\/61p4VET7Y6L.jpg?v=1659771929","\/\/leoforward.com\/cdn\/shop\/products\/71Sezb-uCLL.jpg?v=1659771929","\/\/leoforward.com\/cdn\/shop\/products\/81EmUQy0ceL.jpg?v=1659771929","\/\/leoforward.com\/cdn\/shop\/products\/61KDUOQYuBL.jpg?v=1659771929","\/\/leoforward.com\/cdn\/shop\/products\/71zC6sbdozL.jpg?v=1659771929","\/\/leoforward.com\/cdn\/shop\/products\/51q2gYfL-3L.jpg?v=1659771929","\/\/leoforward.com\/cdn\/shop\/products\/41sU4-4BHLL.jpg?v=1659771929","\/\/leoforward.com\/cdn\/shop\/products\/61NeHQ7S9DL.jpg?v=1659771929"],"featured_image":"\/\/leoforward.com\/cdn\/shop\/products\/612J-IzRYBL.jpg?v=1659771929","options":["Title"],"media":[{"alt":" [AUSTRALIA] - 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Unlike other development boards which are based on proprietary\nhardware and software tools, the QuickLogic Things Plus is based on 100% open\nsource hardware, compatible with the Feather form factor, and is built around\n100% open source software (with support for FreeRTOS, Zephyr, nMingen, Docker,\nand SymbiFlow).Between the onboard LiPo battery connector and charging\ncircuitry, wake-on-sound PDM microphone, and low-power, three-axis\naccelerometer, this Thing Plus board is ideal for wearable, voice, gesture\nsensing applications. The strong firmware support for the microphone and\naccelerator make it easy to move sensor data into the embedded FPGA. From\nthere, you can use SensiML, TensorFlow Lite, or other tools to train and run\nembedded machine learning algorithms specific to your application. The board\nalso includes a Qwiic connector to quickly interface with an ecosystem of 150+\nI2C-compatible boards such as sensors, RFID readers, displays, keypads, and\nrelays.The SparkFun Qwiic Connect System is an ecosystem of I2C sensors,\nactuators, shields and cables that make prototyping faster and less prone to\nerror. All Qwiic-enabled boards use a common 1mm pitch, 4-pin JST connector.\nThis reduces the amount of required PCB space, and polarized connections mean\nyou can’t hook it up wrong.\u003c\/p\u003e\n\u003cp\u003eFeatures:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFeatures: 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\u003c\/li\u003e\n\u003cli\u003eThing 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\u003c\/li\u003e\n\u003cli\u003eStorage: 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\u003c\/li\u003e\n\u003cli\u003eUser 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\u003c\/li\u003e\n\u003cli\u003eSoftware: Machine Learning: TensorFlow Lite and SensiML. Real-time Operating Systems: Zephyr RTOS and FreeRTOS. FPGA Tools: SymbiFlow and Renode\u003c\/li\u003e\n\u003c\/ul\u003e\n\n"}