Since the introduction of green design in China, the space adjustment of green building design has received great attention from architects. Because space adjustment is very important for the pre-construction of a green building, it also represents the effectiveness of the building after its operation. At the same time, the spatial adjustment of green buildings is also a professional level test for architects. In order to obtain more accurate information about various aspects of the building, it is not enough to rely on the naked eye or measuring tools. Because it is impossible to comprehensively inspect the entire building, and the data is too cluttered, it is inconvenient to carry out a one-step construction strategy. Therefore, this study proposes to use visual sensors to analyze the image of a building, so as to achieve the data effect that architects want and to achieve the best effect in space adjustment. In order to prove the applicability of visual sensors, this study takes the current situation of domestic green building projects as a case study and deeply explores the status of domestic green building projects under the current social background. Then, the method of the visual sensor is used to analyze the problem of building space adjustment, and experimental research on the performance of this technology is carried out. The results show that this technology is very suitable for the study of construction strategies for spatial adjustment. In building identification, the error of the algorithm in this study in the measurement range of 1 m to 2 m is obviously smaller than that of other methods, and the accuracy is basically kept within 1 cm. Therefore, in order to better develop the green design, we should focus on the application of visual sensors in this regard.
