Details

Autor(en) / Beteiligte

• Liu, Zhongpeng
• Liu, Lijuan
• An, Lei

Titel

Intelligent Home Scene Recognition Based on Image Processing and Internet of Things

Ist Teil von

• Traitement du signal, 2023-06, Vol.40 (3), p.1171-1178

Ort / Verlag

Edmonton: International Information and Engineering Technology Association (IIETA)

Erscheinungsjahr

2023

Quelle

EBSCOhost Business Source Ultimate

Beschreibungen/Notizen

• Intelligent home systems interconnect various devices within the home using Internet of Things (IoT) technology. In order to achieve the objectives of remote control, automated management, and intelligent services, these systems require robust scene recognition capabilities. However, the accuracy and real-time performance of current image processing algorithms in complex environments and diverse scenarios remain to be improved. Additionally, the interoperability and security issues among intelligent home devices are challenging to address. Therefore, this study delves into the scene recognition technology of intelligent homes based on image processing and IoT. A GLN network is constructed to process multi-view images of intelligent home scenes, enabling the determination of sub-region positions within the scenes. A model aggregation algorithm based on distributed learning is proposed, selecting intelligent home edge devices as the intelligent nodes of the IoT. By processing data and training models on these intelligent nodes, distributed intelligent home scene recognition is achieved. A dual-channel deep neural network-based intelligent home scene recognition model is constructed, and experimental results verify the effectiveness of the proposed model.