{"product_id":"sparkfun-redboard-artemis-atp-machine-learning-development-board-includes-1-megabyte-flash-usb-c-qwiic-i2c-mems-microphone-compatible-with-arduino-ide-platform-run-tenserflow-models-mega-footprint","title":"SparkFun RedBoard Artemis ATP - Machine Learning Development Board Includes 1 megabyte Flash USB-C Qwiic I2C MEMS Microphone Compatible with Arduino IDE Platform Run TenserFlow Models Mega Footprint","description":"\u003ch3\u003eSparkFun RedBoard Artemis ATP - Machine Learning Development Board Includes 1 megabyte Flash USB-C Qwiic I2C MEMS Microphone Compatible with Arduino IDE Platform Run TenserFlow Models Mega Footprint\u003c\/h3\u003e\r\n\u003cp id=\"b\"\u003eThe RedBoard Artemis ATP is affectionately called 'All the Pins!' at SparkFun.\r\nThe Artemis module has 48 GPIO \u0026amp; this board breaks out absolutely every one of\r\nthem in a familiar Mega like form factor. What's with the silkscreen labels?\r\nThey're all over the place. We decided to label the pins as they are assigned\r\non the Apollo3 IC itself. This makes finding the pin with the function you\r\ndesire a lot easier. Have a look at the full pin map from the Apollo3\r\ndatasheet. If you really need to test out the 4-bit SPI functionality of the\r\nArtemis you're going to need to access pins 4, 22, 23, \u0026amp; 26. Need to try out\r\nthe differential ADC port 1? Pins 14 \u0026amp; 15. The RedBoard Artemis ATP will allow\r\nyou to flex the impressive capabilities of the Artemis module. The RedBoard\r\nArtemis ATP has the improved power conditioning \u0026amp; USB to serial that we've\r\nrefined over the years on our RedBoard line of products. A modern USB-C\r\nconnector make programming easy. A Qwiic connector makes I2C easy. The ATP is\r\nfully compatible with SparkFun's Arduino core \u0026amp; can be programmed easily under\r\nthe Arduino IDE. We've exposed the JTAG connector for more advanced users who\r\nprefer to use the power \u0026amp; speed of professional tools. If you need a lot of a\r\nGPIO with a simple to program, ready to go to market module, the ATP is the\r\nfix you need. We've added a digital MEMS microphone for folks wanting to\r\nexperiment with always-on voice commands with TensorFlow \u0026amp; machine learning.\r\nWe've even added a convenient jumper to measure current consumption for low\r\npower testing. The Artemis module runs at 48MHz with a 96MHz turbo mode\r\navailable \u0026amp; with Compatible with Bluetooth to boot! The SparkFun RedBoard\r\nArtemis ATP is a powerful platform if you're interested in testing out the\r\nfull capabilities of the SparkFun Artemis module. 6uA\/MHz (operates less than\r\n5mW at full operation) 2 channel differential ADC 2\/4\/8-bit SPI bus I2S\r\nInterface secure 'Smart Card' interface\u003c\/p\u003e \r\n\r\n\u003ch3\u003eProduct Features\u003c\/h3\u003e\r\n  \u003cul class=\"a\"\u003e\r\n         \u003cli\u003eFCC\/IC\/CE Certified 8\/16\/2019 (ID Number 2ASW8-ART3MIS) on the worlds first open-source, US manufactured, BLE module\u003c\/li\u003e\r\n         \u003cli\u003e1M Flash \/ 384k RAM gives you plenty of room for your sketches. 48MHz \/ 96MHz turbo available\u003c\/li\u003e\r\n         \u003cli\u003eIncludes 48 GPIO pins - all interrupt capable. 31 PWM channels. Built in technology compatible with Bluetooth low energy 4.0 radio\u003c\/li\u003e\r\n         \u003cli\u003eFeatures 10 ADC channels with 14-bit precision, 2 UARTs, 6 I2C buses, 6 SPI buses, PDM Interface\u003c\/li\u003e\r\n         \u003cli\u003eExposed JTAG connector for more advanced users to use the power and speed of professional tools\u003c\/li\u003e\r\n  \u003c\/ul\u003e","brand":"SparkFun","offers":[{"title":"Default Title","offer_id":48903901905133,"sku":"B07YCVWBDH","price":163.0,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0324\/1050\/1164\/files\/B07YCVWBDH.jpg?v=1775795151","url":"https:\/\/leoforward.com\/products\/sparkfun-redboard-artemis-atp-machine-learning-development-board-includes-1-megabyte-flash-usb-c-qwiic-i2c-mems-microphone-compatible-with-arduino-ide-platform-run-tenserflow-models-mega-footprint","provider":"LeoForward AU","version":"1.0","type":"link"}