Research on Digital Exhibition Models in Museums under Visual Communication Technology

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With the rapid development of virtual technologies, the application of augmented reality (AR) in museum exhibitions is receiving increasing attention, aiming to enhance visitors’ interactive reports and educational values. However, current AR software packages still face limitations in photograph segmentation, environmental mapping and consumer interaction. To address those challenges, research on digital exhibition models in museums under visual communication technology is proposed. Deep Enhanced Reality Interactive System (DERIS) employs the mask R-CNN set of rules for specific photo segmentation of exhibits, combines SLAM technology for accurate localization and environmental mapping, and integrates gesture reputation era based on deep study to provide a greater natural and fluid user interplay enjoyment. DERIS has been deployed in various museum environments and its effectiveness has been demonstrated through a series of experiments. The results show that DERIS substantially improves the realism of AR visual consequences and advances user interplay experience. Compared to traditional AR programs, DERIS recognizes consumers’ intentions more and can provide more immersive and personalized record displays. The successful implementation of this study provides a new perspective for virtual museum exhibitions, showcasing the powerful capabilities of deep learning and SLAM generation in the discipline of cultural heritage display.