Adafruit BrainCraft Artificial Intelligence HAT - Episode 245 - Piltch Point
PLUGHITZ Live
#raspberrypi #adafruit #braincraft This week, Avram Piltch discusses the Adafruit BrainCraft HAT - a great way to learn about artificial intelligence on the Raspberry Pi. http://piltchpoint.live/
Artificial intelligence is a big part of the software world today. Whether it's the iPhone using it to determine the most optimal way to charge the device to preserve the longevity of the battery, or an automated vehicle looking for pedestrians and other obstacles in the road, it seems that the technology is being used everywhere. As a software developer, particularly someone getting started, it can seem like a big and scary technology to get into, but Adafruit is trying to make it a little easier with the Adafruit BrainCraft HAT (https://www.adafruit.com/product/4374).
As with other add-ons for the Raspberry Pi, this HAT is able to sit on top of a Raspberry Pi and add new capabilities. It is best used with the Raspberry Pi 4, and Adafruit recommends the 2GB model, though Avram is demoing with the 1GB model. In the case of the BrainCraft, the capabilities are not exactly what you might expect. It doesn't add the ability to do machine learning and AI processing, but it does add the sensors and outputs that will make the process easier for developers.
The HAT has got a pair of microphones, which allows for noise cancelation, and the mic array can be used for voice and sound inputs. That input can be processed for voice commands, like with Google Assistant or Amazon Alexa, or for recognizing certain noises in an environment. It also has a screen that can be used as a viewfinder for computer vision recognition. Using TensorFlow Lite and existing models, you can easily recognize everyday objects, or a new model can be trained to recognize specialized items.
To use some of these features, you will need some additional hardware. For computer vision and image recognition, you will need an additional Raspberry Pi camera. If you want to be able to hear output, either from an assistant, the image recognition, or other output, you'll also need a speaker.
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