Omschrijving
Met deze praktische bundel kun je echte Edge AI-toepassingen bouwen met de Raspberry Pi
Raspberry Pi AI HAT+ (13 TOPS)
The Raspberry Pi AI HAT+ (13 TOPS) is an expansion board designed for the Raspberry Pi 5, featuring an integrated Hailo AI accelerator. This add-on offers a cost-effective, efficient, and accessible approach to incorporating high-performance AI capabilities, with applications spanning process control, security, home automation, and robotics.
The AI HAT+ connects via the Raspberry Pi 5’s PCIe Gen3 interface. When the Raspberry Pi 5 is running a current version of the Raspberry Pi OS, it automatically detects the onboard Hailo accelerator, making the neural processing unit (NPU) available for AI tasks. Additionally, the rpicam-apps camera applications included in Raspberry Pi OS seamlessly support the AI module, automatically using the NPU for compatible post-processing functions.
Raspberry Pi Camera Module 3
Raspberry Pi Camera Module 3 is a compact camera from Raspberry Pi. It offers an IMX708 12-megapixel sensor with HDR, and features phase detection autofocus. Camera Module 3 is available in standard and wide-angle variants, both of which are available with or without an infrared cut filter.
Camera Module 3 can be used to take full HD video as well as stills photographs, and features an HDR mode up to 3 megapixels. Its operation is fully supported by the libcamera library, including Camera Module 3’s rapid autofocus feature: this makes it easy for beginners to use, while offering plenty for advanced users. Camera Module 3 is compatible with all Raspberry Pi computers.
Boek: Learn Edge AI with Raspberry Pi – AI Projects for the Raspberry Pi with the AI HAT+
Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time—fast, private, and reliable even when the network disappears.
This book is your practical guide to building exactly those kinds of systems with the Raspberry Pi AI HAT+ and the Hailo-8L accelerator. You’ll start with clear foundations: core AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge AI from cloud AI—plus an honest look at ethical considerations and future impacts.
Then it’s straight to hands-on physical computing. Step by step, you’ll set up Raspberry Pi OS, power and cooling, and develop in Python using the Thonny IDE. You’ll learn GPIO basics with lights and servos, mount the AI HAT+ hardware, install and verify the Hailo software stack, and connect the right camera—official modules or USB webcams, even multiple cameras.
From your first pipeline to real projects, you’ll run person detection, pose estimation, segmentation, and depth estimation, then level up with YOLO object detection: smart alerts, guest counters, and custom extensions. You’ll even connect vision to motion by combining gesture recognition with servo-driven mechanisms, including a robotic arm.
With troubleshooting tips, hardware essentials, and a practical Python refresher, this book turns Edge AI from buzzword into buildable reality.
Deze bundel bevat:
- Boek: Edge AI Made Practical
- Raspberry Pi AI HAT+ (13 TOPS)
- Raspberry Pi Camera Module 3
- Actieve koeler voor Raspberry Pi 5
- FPC Display-kabel voor Raspberry Pi 5 (200 mm)
- Elektor Edge AI Kit
- 40-Pin GPIO stacking header with long pins
- Traffic Light Module
- LED red 5 V with built-in resistor (5 mm)
- LED yellow 5 V with built-in resistor (5 mm)
- LED green 5 V with built-in resistor (5 mm)
- LED blue 5 V with built-in resistor (5 mm)
- Breadboard (400 Tie-points)
- 10 Dupont wires male-female
- DHT22 sensor module
- Servo motor
