Copy edits for vision and voice bonnet

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scottamain 2018-08-10 08:54:25 -07:00
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# AIY Vision Bonnet
The AIY Vision Bonnet comes with the AIY Vision Kit by Google—a do-it-yourself intelligent camera. The Vision Bonnet connects to a Raspberry Pi Zero to create an intelligent camera that can see and recognize objects using machine learning (ML).
The AIY Vision Bonnet comes with the AIY Vision Kit by Google—a do-it-yourself intelligent camera. The Vision Bonnet connects to your Raspberry Pi to create an intelligent camera that can see and recognize objects using on-device machine learning (ML) models.
The bonnet includes on-board hardware to accelerate vision-based ML models, a connector for the Raspberry Pi Camera v2, a 10-pin button connector, and 4 unique GPIO pins called `PIN_A`, `PIN_B`, `PIN_C`, and `PIN_D`.
The bonnet includes hardware to accelerate vision-based ML models, a connector for the Raspberry Pi Camera v2, a 10-pin button connector, and 4 unique GPIO pins called `PIN_A`, `PIN_B`, `PIN_C`, and `PIN_D`.

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# AIY Voice Bonnet
The AIY Voice Bonnet comes with the AIY Voice Kit (V2) by Google—a do-it-yourself intelligent speaker. The Voice Bonnet connects to a Raspberry Pi Zero to create a natural language processor that can connect to the Google Assistant.
The AIY Voice Bonnet comes with the AIY Voice Kit V2 by Google—a do-it-yourself intelligent speaker. The Voice Bonnet connects to your Raspberry Pi to create a natural language processor that can respond to your voice and connect to the Google Assistant.
The bonnet includes on-board hardware to facilitate audio capture and playback, stereo speaker terminals, a headphone jack, an 8-pin button connector, UART breakout pins, and 4 unique GPIO pins called `PIN_A`, `PIN_B`, `PIN_C`, and `PIN_D`.
The bonnet includes hardware to facilitate audio capture and playback, stereo speaker terminals, a headphone jack, an 8-pin button connector, UART breakout pins, and 4 unique GPIO pins called `PIN_A`, `PIN_B`, `PIN_C`, and `PIN_D`.
**Note:** If you have the AIY Voice Kit V1, instead see the [Voice Hat](/pinout/aiy_voice_hat), which is the full-size HAT version of this board.