Design of Home Lighting Products Based on Artificial Intelligence and Deep Learning Techniques

This paper presents a smart home product system based on artificial intelligence and deep learning technologies to optimize energy efficiency and enhance user comfort. The system uses deep learning algorithms to accurately detect personnel positions and automatically adjust lighting and temperature in real time. Data acquisition modules collect environmental information, which is processed using Convolutional Neural Networks (CNN) to control lighting and temperature. Experimental results show that the system achieves high-precision positioning and reduces energy consumption while maintaining comfort. This approach demonstrates the potential of artificial intelligence in smart home applications.