Published: 27 June 2024
Successfully embedding AI into smart home products relies on product leader investment into sensors, image and audio analytics, NPU-integrated microcontrollers and conversational HMI. The winners will align use cases with technology and ecosystem maturity.
Image and video analytics combine environment and user behavior with event monitoring to enable automated decisionmaking in the smart home.
AI-embedded sensors facilitate upgradable AI algorithms, extending the lifetime of smart home products.
Embedded conversational human-machine interfaces (HMIs, which are AI-supported) will simplify operation modes by using natural language instructions to direct an HMI without cloud connections.
Neural processing unit (NPU)integrated microcontroller units (MCUs) will enable local AI decision making in diverse smart home products, including thermostats, lighting, home appliances and security equipment.
Product leaders developing smart home products should:
Time image and video analytics integrationto align with adoption of embedded AI
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Analysts:
Roger Sheng, Jon Erensen, Ben Lee, Stacey Yin, Anushree Verma
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