SparkFun MicroMod Machine Learning Carrier Board 機器學習載板 微模組 AI 應用載板

描述

SparkFun MicroMod Machine Learning Carrier  AI Board 機器學習載板 微模組 AI 應用載板

SparkFun MicroMod Machine Learning Carrier  AI Board 機器學習載板 結合了我們的 SparkFun Edge 板和 SparkFun Artemis 板的某些功能，但使您可以自由使用MicroMod陣容中的任何處理器進行瀏覽，而無需中央計算機或Web連接。使用TensorFlow應用程序可以進行語音識別，始終在線的語音命令，手勢或圖像識別。雲計算功能強大，但一直以來的連接都需要電源和可能不可用的連接。邊緣計算處理離散任務，例如確定是否有人說“是”並做出相應響應。音頻分析是在MicroMod組合上完成的，而不是在Web上完成的。這大大降低了成本和復雜性，同時限制了潛在的數據隱私洩漏。

該評估板具有兩個MEMS麥克風（一個帶有PDM接口，一個帶有I2S接口），一個ST LIS2DH12 3軸加速度計，一個用於連接攝像頭的連接器（單獨出售）和一個Qwiic連接器。現代化的USB-C連接器使編程變得容易，並且我們向更喜歡使用專業工具的強大功能和速度的更高級用戶提供了JTAG連接器。我們甚至添加了一個方便的跳線來測量低功耗測試的電流消耗。

特色

• M.2 MicroMod Keyed-E H4.2mm 65針SMD連接器0.5mm
• 數字I2C MEMS麥克風PDM Invensense ICS-43434（COMP）
• 數字PDM MEMS麥克風PDM Knowles SPH0641LM4H-1（IC）
• ML414H-IV01E用於RTC的鋰電池
• ST LIS2DH12TR加速度計（3軸，超低功耗）
• 24針0.5mm FPC連接器（Himax攝像機連接器）
• USB-C
• Qwiic連接器
• MicroSD插槽
• 包括菲利普斯＃0 M2.5x3mm螺釘

資料與文件

MicroMod機器學習載體文檔：

• 原理圖
• 鷹文件
• 聯播指南
• 板子尺寸
• GitHub硬件回購

MicroMod文檔：

• MicroMod入門
• 使用MicroMod設計
• MicroMod信息頁面
• MicroMod論壇

SparkFun MicroMod Machine Learning Carrier Board

The MicroMod Machine Learning Carrier Board combines some of the features of our SparkFun Edge Board and SparkFun Artemis boards, but allows you the freedom to explore with any processor in the MicroMod lineup without the need for a central computer or web connection. Voice recognition, always-on voice commands, gesture, or image recognition are possible with TensorFlow applications. The cloud is impressively powerful but all-the-time connection requires power and connectivity that may not be available. Edge computing handles discrete tasks such as determining if someone said “yes” and responds accordingly. The audio analysis is done on the MicroMod combination rather than on the web. This dramatically reduces costs and complexity while limiting potential data privacy leaks.

This board features two MEMS microphones (one with a PDM interface, one with an I2S interface), an ST LIS2DH12 3-axis accelerometer, a connector to interface to a camera (sold separately), and a Qwiic connector. A modern USB-C connector makes programming easy and we’ve exposed the JTAG connector for more advanced users who prefer to use the power and speed of professional tools. We’ve even added a convenient jumper to measure current consumption for low power testing.

Features

• M.2 MicroMod Keyed-E H4.2mm 65 pin SMD Connector 0.5mm
• Digital I2C MEMS Microphone PDM Invensense ICS-43434 (COMP)
• Digital PDM MEMS Microphone PDM Knowles SPH0641LM4H-1 (IC)
• ML414H-IV01E Lithium Battery for RTC
• ST LIS2DH12TR Accelerometer (3-axis, ultra-low-power)
• 24 Pin 0.5mm FPC Connector (Himax camera connector)
• USB – C
• Qwiic connector
• MicroSD socket
• Phillips #0 M2.5x3mm screw included