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Interactive Design of Commercial Space Signage System Based on Object Detection

Received: 10 April 2019 Accepted: 2 June 2019 The commercial space signage system (CSSS) both presents the information of the commercial building and promotes the exposure of certain brands. Thus, the CSSS design is the key to the design of the commercial building, exerting a direct impact on consumer experience in the building. However, there is no unified or effective method to quantify the effect of the CSSS design. To make up for this gap, this paper puts forward an interactive method to analyze and evaluate the CSSS design based on object detection. With the aid of the virtual reality (VR) technology, the author constructed an object detection model based on the Residual Network (ResNet), and used it to simulate the visual experience of the user walking through the commercial space. The generated visual data were analyzed with several indices on significance and discrimination. The comparative experiments show that the analysis results of our method agree well with the actual visual experience, indicating that our method can effectively quantify the effect of the CSSS design. The research findings shed new light on the optimization of the CSSS design.