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Edge AI mit Raspberry Pi: Bereitstellen von Machine-Learning-Modellen auf IoT-Geräten
Paperback
Publisher: Independently Published
Published: Aug 14 2025
Pages: 286
Weight: 0.85
Height: 0.60 Width: 6.00 Depth: 9.00
Language: German
Künstliche Intelligenz dort einsetzen, wo die Daten entstehen - direkt am Rand des Netzwerks.
Edge AI mit Raspberry Pi ist Ihr praxisnaher Einstieg in die Welt der intelligenten IoT-Geräte. Sie lernen, wie Sie Machine-Learning-Modelle trainieren, optimieren und direkt auf einem Raspberry Pi bereitstellen, um KI-Anwendungen auch ohne ständige Cloud-Verbindung lauffähig zu machen. Von der Idee bis zur funktionierenden Edge-AI-App führt Sie dieses Buch Schritt für Schritt durch den gesamten Prozess.
Grundlagen von Edge AI und IoT-Architekturen
Hardware-Setup: Raspberry Pi, Sensoren und Kameras anschlie en
Installation von Python- und ML-Frameworks (TensorFlow Lite, PyTorch Mobile, OpenVINO)
Trainieren und Optimieren von ML-Modellen für ressourcenarme Geräte
Modellkonvertierung und Quantisierung für Edge-Performance
Anbindung an Sensoren und Kameras für Echtzeit-Datenverarbeitung
Lokale Entscheidungsfindung ohne Cloud-Abhängigkeit
Netzwerkkommunikation mit MQTT und REST-APIs
Energie- und Performanceoptimierung auf Embedded-Hardware
Sicherheitsaspekte und Updates im IoT-Umfeld
Komplettprojekte: Objekterkennung, Anomalieerkennung, Sprachsteuerung
Tipps zur Produktivsetzung und Skalierung auf mehreren Geräten
Für Entwickler, Maker, Data Scientists und IoT-Enthusiasten, die Machine Learning direkt auf Embedded-Systemen einsetzen möchten, um leistungsfähige, autonome Anwendungen zu bauen.
Machen Sie aus Ihrem Raspberry Pi ein KI-Kraftpaket - und bringen Sie Intelligenz an den Rand des Netzwerks.
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