Stage art is a multifaceted form of expression where space and time resonate with one another. During performances, dancers blend reality with choreographed scenarios, presenting a unique artistic experience to the audience. Music serves as the heartbeat of dance, while dance movements resonate with musical rhythms. These movements are organized and rhythmic, conveying emotions and creating artistic imagery. The diversity inherent in dance necessitates a wide array of styles and a rich combination of movements. Even seasoned motion capture companies face challenges in establishing extensive data sets that meet specific requirements. As the demand for choreography grows in today’s society, traditional manual choreography can be time-consuming and labor-intensive. Thus, there is a pressing need to design and implement an intelligent choreography and display system. By integrating computational photography and intelligent system design grounded in data mining, costs can be reduced while enabling effective music choreography. This system has demonstrated the capability to generate superior dance sequences, achieving high user satisfaction and prompt responses, thus showcasing its practical application value.