Research on the Algorithm of Machine Vision in Intelligent Building Design Optimization

A method for building design is proposed based on image recognition technology and swarm intelligent optimization algorithm based on machine vision and PSO algorithm in this paper. First, the image processing and feature extraction of architectural design drawings are carried out by machine vision technology to identify key information such as spatial layout, door and window positions and building appearance in the drawings; then multi-objective optimization is carried out in combination with PSO to improve space utilization, optimize lighting, ventilation effects and energy efficiency and other design goals. The experimental results show that compared with the traditional design method, the algorithm proposed in this paper has achieved significant improvements in space utilization, lighting, ventilation and energy efficiency optimization. Specifically, the space utilization rate has increased by 20%, the lighting and ventilation effects have improved by 15% respectively, and the building energy efficiency has increased by 18%. The algorithm proposed in this paper can not only optimize multiple goals in architectural design, but also achieve balanced optimization on multiple design indicators, showing a more efficient and accurate optimization ability than traditional methods.