Intelligent lighting and temperature control system based on artificial intelligence in interior design

The intelligence of lighting control and temperature control (TC) technology is crucial in the field of energy conservation and emission reduction. However, the commonly used sensing technologies in current lighting and TC systems have low accuracy in detecting indoor human activities. To address this issue, this article proposes an intelligent lighting and TC system based on artificial intelligence (AI). The system uses optical instruments to collect and recognize human activity data and utilizes deep learning (DL) technology to accurately identify signs of human activity in the scene through image analysis. Based on the recognition results, the system dynamically adjusts its response strategy. This article first optimized the system architecture design, then constructed a multidimensional data collection module, and developed a DL based character recognition model. By establishing an intelligent control strategy library, the system can dynamically adjust the lighting brightness and temperature settings based on real-time recognition results. The results indicate that the system can not only accurately perceive environmental changes and personnel activity status, but also provide personalized services based on individual preferences, significantly reducing energy consumption while ensuring comfort.