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The BeagleY-AI Handbook a Practical Guide to AI, Python, and Hardware Projects

   Author: creativelivenew1   |   03 January 2026   |   Comments icon: 0


Free Download The BeagleY-AI Handbook
by Ibrahim, Ahmet;Ibrahim, Dogan;

English | 2025 | ISBN: 3895766569 | 340 pages | True PDF | 59.36 MB


Welcome to your BeagleY-AI journey! This compact, powerful, and affordable single-board computer is perfect for developers and hobbyists. With its dedicated 4 TOPS AI co-processor and a 1.4 GHz Quad-core Cortex-A53 CPU, the BeagleY-AI is equipped to handle both AI applications and real-time I/O tasks. Powered by the Texas Instruments AM67A processor, it offers DSPs, a 3D graphics unit, and video accelerators.
Inside this handbook, you'll find over 50 hands-on projects that cover a wide range of topics-from basic circuits with LEDs and sensors to an AI-driven project. Each project is written in Python 3 and includes detailed explanations and full program listings to guide you. Whether you're a beginner or more advanced, you can follow these projects as they are or modify them to fit your own creative ideas.
Here's a glimpse of some exciting projects included in this handbook:
Morse Code Exerciser with LED or Buzzer
Type a message and watch it come to life as an LED or buzzer translates your text into Morse code.
Ultrasonic Distance Measurement
Use an ultrasonic sensor to measure distances and display the result in real time.
Environmental Data Display & Visualization
Collect temperature, pressure, and humidity readings from the BME280 sensor, and display or Description them on a graphical interface.
SPI - Voltmeter with ADC
Learn how to measure voltage using an external ADC and display the results on your BeagleY-AI.
GPS Coordinates Display
Track your location with a GPS module and view geographic coordinates on your screen.
BeagleY-AI and Raspberry Pi 4 Communication
Discover how to make your BeagleY-AI and Raspberry Pi communicate over a serial link and exchange data.
AI-Driven Object Detection with TensorFlow Lite
Set up and run an object detection model using TensorFlow Lite on the BeagleY-AI platform, with complete hardware and software details provided.



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