Treffer: Künstliche Intelligenz ganz einfach integrieren.

The article deals with the integration of artificial intelligence (AI) and machine learning (ML) in embedded systems. It is pointed out that the implementation of AI and ML can be a challenge for companies, but there are now solutions that help developers. Especially in the manufacturing industry, AI offers great advantages, especially in predictive maintenance. Although single-board computers (SBCs) are often used in industrial and IoT applications, only 20 percent of developers worldwide take advantage of AI and ML in their SBC applications. However, examples are given of how AI can be used in practice, such as anomaly detection in manufacturing robots or image processing in manufacturing. TensorFlow Lite is an optimized platform for machine learning on devices such as mobile, embedded, and IoT devices. It provides pre-trained models for industrial use cases and enables features such as image classification, natural language processing, and gesture recognition. The tool eliminates latency, ensures data privacy, and does not require an internet connection. Cloud-based services such as Azure Sphere, AWS, and Caffe facilitate the deployment of AI in embedded systems. Single-board computers such as the Raspberry Pi and the Arduino Portenta enable easy implementation of AI and ML in embedded systems. The introduction of AI and ML in embedded applications is becoming more and more common due to improved system performance. [Extracted from the article]

Künstliche Intelligenz (KI) und maschinelles Lernen (ML) bieten enorme potenzielle Vorteile für viele Embedded-Systeme. Ihre Implementierung stellt für viele Unternehmen jedoch eine Herausforderung dar. Doch mittlerweile gibt es vielfältige Lösungen für SBCs, die Embedded-Entwicklern unter die Arme greifen. [ABSTRACT FROM AUTHOR]

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