Dance AI aims to provide personalized intelligent learning services for teenagers aged 4-16 anytime, anywhere. We hope to build a new industry ecosystem through technological innovation, allowing art and technology to dance together, recording body language with data, and demonstrating how AI can reshape the educational and application boundaries of dance art. ”Recently, the innovative technology company "Body Cognition" held a dance AI product launch event in Beijing with the theme of "Breaking the Boundary with Smart Dance". Wang Anzhe, founder of Dance AI, stated that it will deeply integrate into the dance education industry chain through the "three end collaboration" model, achieving full scene coverage from institutions, teachers to hardware manufacturers. Throughout the years, the children's dance education industry has faced industry challenges such as a lack of standard references, uneven teaching staff, and difficulty quantifying after-school exercises. In the traditional mode, teacher experience determines teaching quality, and after-school exercises rely on parental supervision. However, parents often have weak dance foundations and are difficult to effectively guide, and even some urban institutions have difficulty ensuring teaching effectiveness due to a shortage of teachers. It is precisely because of these industry pain points that the team began exploring AI limb comparison technology as early as 2019. Based on cutting-edge algorithms such as openpose and alphapose, they gradually overcame industry challenges such as multi person detection and occlusion processing, and ultimately built a full chain technology system including 'character motion tracking, 3D pose reconstruction, dance motion analysis, and practice evaluation'. ”Wang Anzhe introduced that based on years of technological accumulation, the team has independently developed the Vertical AI Model, which can accurately capture 133 key points of the human body, achieve 93% recognition accuracy for 46 basic dance movements, and evaluate loading time of less than 3 seconds. As a result, AI in the dance industry can transform post class exercises from "blind imitation" to "precise adjustment" through real-time error correction reminders; By automatically generating comparative reports and growth curves, the learning effect can be transformed from "teacher subjective impression" to "data visualization presentation". Wang Anzhe stated that in addition to technological innovation, AI in the dance industry will also reshape the dance education chain through "three end collaboration". On the institutional end, a complete SaaS service system will be provided to unify teaching standards through algorithms and solve the industry's stubborn problem of uneven teacher abilities. On the teacher side, teachers can develop more efficient and quantifiable "post class practice assignments" for students through dance AI, forming a closed-loop management system before, during, and after class, which is expected to reduce 50% of repetitive work. On the hardware vendor side, Dance AI will open up motion data authorization and SDK/API interfaces to hardware vendors, promoting hardware upgrades such as intelligent learning machines and dance peripherals, and forming an industry synergy matrix of "software+hardware". Technology should not just be a tool, but should become the infrastructure of the industry. ”Wang Anzhe revealed that the Vertical AI Model has cross scene scalability and can be extended to fields such as sports training and medical rehabilitation in the future. (New Society)