Year: 2025
Type: conference-paper
Abstract: In today's information era, the rapid development of IoT (Internet of Things) as well as AI (artificial intelligence) has shifted household scenes into smart living modes. Most of the traditional smart household devices rely on the cloud or local end to process data. On the one hand, for technical reasons, computing might contain risks, including data privacy leaks as well as net lag. On the other hand, local ends often fail to meet household needs of human-machine interaction because of their core chips' inherent computing calculation limitation. The booming of edge AI has provided new solutions for household end devices. Through case studies of different intelligent locks from the ends, this paper has investigated the developing strategies of smart household devices and helped researchers with suitable methodologies.
Authors: Xing Dai, Weifang Yao
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4412790143