This book guides learners through a range of projects, contextualised by cutting-edge themes including Machine Learning and Internet of Things. All projects are based on the Raspberry Pi Pico board, a cheap yet powerful device, which can be programmed in Python.
- To explore artificial intelligence and machine learning techniques
- To program a Pico using Python
- To use and apply code from Github
- To understand and apply Computer Science theory such as finite state machines and two’s complement
- To use internet services to push data to visualisation services for interrogation
- To learn and apply Computer Science techniques and theory using Jupyter notebooks
- To use a vision sensor to respond to facial recognition triggers
- To build a full physical device to solve a real-world problem
The book is separated into distinct projects that introduce concepts and techniques required to achieve the projects goals. The projects build in complexity.
- Getting Started – this project introduces the Pico and all the hardware and applications needed
- Displaying Environmental Data – this project introduces data collection, storage and display
- Analysing Environmental Data – this project introduces Jupyter notebooks and data analysis
- The I in IoT – this project connects up the various elements needed for an IoT network
- Data Science for managing well-being – this project captures physical data and interrogates the data to make assertions and predictions regarding well-being
- Accessing data remotely – this project looks at how IoT technology can be used in Operational Technology in your home
- Experimenting with Physics – this projects measure ‘time of flight’ and building a model from the data
- Security starts at home – this project introduces facial recognition concepts and techniques
- Bringing it all together – this is the capstone project where learners build an automated bird feeder that identifies and deters squirrels
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