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Articles / Artificial Intelligence / Tensorflow
Posted 10 Dec 2020


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Building a Voice-enabled Smart Home TinyML Solution with Cloud Connectivity

10 Dec 2020CPOL7 min read
In this article we show, a high-level, it is possible to create sophisticated AI-enabled applications that run upon memory-constrained, ultra-low power endpoint devices.
Here we explain how to build a voice-enabled smart assistant that can control common room functions, such as lights and heat. Our example uses TensorFlow Lite for Microcontrollers on an Arm Cortex-M device running Arm Mbed OS.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


About the Author

Jo Stichbury
United States United States
Jo Stichbury is a freelance technical writer with over 20 years’ experience in the software industry. She works with a range of clients, such as QuantumBlack, Improbable Worlds, and SAP, and writes about data science, AI, and games development.

Jo also covers emerging technology and the future of transport (electric & autonomous vehicles). She holds an MA and a PhD in Natural Sciences from the University of Cambridge.

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