With the rapid development of artificial intelligence technology, its potential for application in the field of security and energy conservation is gradually being explored. Traditional security energy-saving relies heavily on fixed parameter settings or simple timing control, while the introduction of AI technology has brought more intelligent and dynamic solutions. For example, by analyzing historical monitoring data and real-time environmental information (such as crowd density, weather conditions, lighting intensity, etc.) through AI, the system can intelligently adjust the resolution, frame rate, infrared fill light intensity of monitoring cameras, and even automatically sleep or wake up security equipment in specific areas. AI can also optimize video storage strategies, automatically identify and prioritize the storage of key event segments, significantly reducing energy consumption and storage pressure caused by invalid recordings. In addition, AI driven predictive maintenance can also detect equipment failures or performance degradation in advance, avoiding additional energy consumption caused by inefficient equipment operation. These AI based energy-saving technologies are making the security systems of smart buildings more "smart", achieving significant "cost saving" effects while ensuring safety.