Make: Volume 77

From an exciting array of low-cost hardware to more plug-and-play training modules, itÃ?Â[ s easier than ever for makers to incorporate machine learning into personal projects. In the new issue of Make: (Vol. 77), we take a look at new tools you can use to train AI modules right now like Tensor Flow, Edge Impulse, and Lobe, and show how to use frameworks like Tensor Flow Lite to squeeze trained AI onto a Raspberry Pi or Arduino.

Our cover story details how to make an AI-empowered artificial nose that can sort coffee from tea, or identify whatever else you train it to smell. Next in this section we show: how to build a teddy bear that listens and Tweet-shames you when it hears a swear word, how to make a trash-sorting camera using Lobe and Raspberry Pi, and how to monitor your 3D printer for failed prints with an AI watchdog.

Plus, get the inside scoop on Tesla coil-powered band ArcAttackÃ?Â[ s new mini musical coil kit.

Also find 23 projects inside, including:

• Track meteors entering the atmosphere with a Raspberry Pi
• Modify a vintage iPod to stream music from Spotify
• Make an animated light-up skirt with 120 hidden full-color LEDs that respond to your movements
• Add some arctic ambience to your home with a quick Arduino-powered Aurora Borealis light setup
• And much more!

從各種低成本硬體到更易於使用的即插即用訓練模組，製作者現在比以往更容易將機器學習融入個人專案中。在新一期的《Make:》雜誌（第77期）中，我們介紹了一些新工具，例如Tensor Flow、Edge Impulse和Lobe，可以立即用來訓練AI模組，並展示如何使用Tensor Flow Lite等框架將訓練好的AI壓縮到Raspberry Pi或Arduino上。

封面故事詳細介紹了如何製作一個搭載AI的人工嗅覺，可以將咖啡和茶分類，或者辨識出你訓練它聞到的其他東西。接下來，在這一部分中，我們還展示了如何製作一個會聽到脏話時發推文羞辱你的泰迪熊，如何使用Lobe和Raspberry Pi製作一個垃圾分類攝影機，以及如何使用AI看門狗監控你的3D打印機是否打印失敗。

此外，還可以了解到由Tesla coil樂團ArcAttack推出的新迷你音樂線圈套件的內幕。

此外，還有23個專案，包括：
- 使用Raspberry Pi追蹤進入大氣層的流星
- 修改一個老式iPod，從Spotify串流音樂
- 製作一個帶有120個隱藏全彩LED的動畫發光裙子，可以根據你的動作做出反應
- 使用快速的Arduino Aurora Borealis燈光設置為家中增添北極光氛圍
- 還有更多！