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What\u2019s inside<\/p>\n
The book covers a broad range of AI applications, all of them running on a Raspberry Pi:<\/p>\n
Computer vision \u2014 recognise and classify what\u2019s in front of a camera or inside files. We cover both image recognition and video recognition.<\/p>\n
Python and predictive modelling \u2014 work with the regression-style workhorses behind most practical data science.<\/p>\n
Speech to text (and vice versa) \u2014 convert speech to text, generate speech from text, and use spoken commands to control local devices.<\/p>\n
Linguistics \u2014 perform audio transcription, language translation, and processing.<\/p>\n
Sensor data \u2014 gather sensor data on a Raspberry Pi Pico. Use Python to train a machine learning model on your Raspberry Pi, then deploy the model on the Raspberry Pi Pico, where you\u2019ll perform real-time inference.<\/p>\n
Large language models \u2014 run genuine LLMs locally on Raspberry Pi hardware and the Raspberry Pi AI HAT+ 2 accelerator. Run chatbot-style services securely, privately, and locally at the edge.<\/p>\n
Image generation \u2014 use Stable Diffusion techniques to generate images with Raspberry Pi hardware.<\/p>\n
Model training \u2014 discover how models are trained with test and training data. Slice and dice MobileNet and retrain it to detect hand gestures.\u00a0<\/p>\n
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Raspberry Pi hardware\u2026 accelerated<\/p>\n
If you are into AI and Raspberry Pi, this is the book for you<\/a>. We make the most of Raspberry Pi hardware, both the bare board and systems accelerated with AI-specific hardware. Here, you\u2019ll find projects that run on a range of Raspberry Pi devices, including Raspberry Pi 4, 5, and Zero 2 W as well as Raspberry Pi Pico microcontrollers.\u00a0<\/p>\n As you\u2019d expect, we make full and detailed use of the Raspberry Pi AI Camera and the Raspberry Pi AI HAT+ and AI HAT+ 2 \u2014 all using the standard Raspberry Pi OS, so you know exactly what you\u2019re dealing with.<\/p>\n Behind the scenes of LLMs and generative technology<\/p>\n Generative technologies are a thorny subject. This book isn\u2019t here to tell you right from wrong, or insist you get aboard the generative AI train. It\u2019s here to help you understand the deployment and real-world usage of these technologies.\u00a0<\/p>\n Once you move beyond the chatbots, you\u2019ll discover a wide range of generative pre-trained transformer models that can be deployed to your computer. You\u2019ll understand the training parameters, sizes, and weights that make up these models, learn how lightweight models are deployed on edge devices to perform inferencing, and discover how LLMs interact with code.<\/p>\n Because Raspberry Pi is a physical computer with input\/output, you can use LLMs to perform real-world tasks.\u00a0<\/p>\n The physical computing advantage<\/p>\n When it comes to AI, Raspberry Pi is different from a laptop computer or an online chatbot. Raspberry Pi is a real-world device operating at the edge, meaning you can wire it up to the physical world: sensors in, actuators out.<\/p>\n Take voice recognition, for example. In the consumer space, you speak into a device that sends your voice off to another computer in another part of the world, where it is analysed and a response is generated and sent back. For the end user, this is a black-box process \u2014 but in this book, you\u2019ll come to understand speech to text and linguistics, and learn how to deploy the models that analyse speech and provide voice feedback for your project. Of course, because this is Raspberry Pi, you can use this knowledge to control any and all devices in your home, on the factory floor, or elsewhere in the real world.<\/p>\n Build real-world projects<\/p>\n Strap an accelerometer to your hand, wave it around, and you\u2019re generating a stream of sensor data. Label the moments where a particular gesture actually happened, feed both the readings and the labels into a training process, and you end up with a model that can recognise that gesture in real time.<\/p>\n In this book, you\u2019ll write code that watches for the gesture and, the moment it fires, tells an attached device to do something. We walk you through this by showing you how to make a magic wand that sparkles when you flick it. It\u2019s one of several projects that take AI out of the abstract and into something you can hold in your hand.<\/p>\n Your journey through the book<\/p>\n The book starts with the basic vocabulary of AI and machine learning, including tensors, the foundational data structure behind almost everything that follows.\u00a0<\/p>\n From there, it steps back to map out the Raspberry Pi AI stack, covering both hardware and software, before moving into regression models.<\/p>\n Things get visual with a chapter on generating images from text prompts, followed by a deep dive into running an LLM directly on your Raspberry Pi, using both the CPU and the AI HAT+ 2 accelerator.<\/p>\n Next comes the magic wand chapter: training a model to recognise gestures and building a wand that sparkles on cue.<\/p>\n Voice gets its own extensive chapter \u2014 transcribing speech, responding to spoken commands, generating speech from text, translating between languages, and even building a voice-powered chatbot.<\/p>\n The book then zooms in on image recognition, teaching you how to recognise and classify objects in real time using the Raspberry Pi AI Camera or Raspberry Pi AI HAT+ (version 1 or 2).<\/p>\n Finally, we look at accessing and deploying models from model zoos. And we take apart the MobileNet vision model, splicing off the end and retraining it in Python to perform hand gesture recognition.<\/p>\n Why it\u2019s worth your time<\/p>\n If you\u2019re the sort of person who wants to understand AI rather than simply use it, this book is for you. You\u2019ll learn how models are trained, what they can and can\u2019t do, where they\u2019re genuinely useful, and where they\u2019re overhyped. Most importantly, you\u2019ll discover all of this by building practical projects on hardware you already know and love.<\/p>\n AI Projects with Raspberry Pi is available now from Raspberry Pi Press. You can pick up your copy\u00a0from our store\u00a0for just \u00a317.99 \u00a38.99<\/a> (introductory price). It\u2019s also available from online retailers such as Amazon\u00a0US<\/a>\u00a0and\u00a0UK<\/a>, and from other booksellers who have exceptional taste in books. If you\u2019re interested in an electronic version,\u00a0we\u2019ve got several ways<\/a>\u00a0you can get your hands on a PDF or ePUB.<\/p>\n![\"\"](\"https:\/\/www.newsbeep.com\/uk\/wp-content\/uploads\/2026\/07\/9781916868427_005_iart-1024x726.jpg\")
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