Elite sports teams needed more objective and immediate motion analysis because traditional video replay could not capture short, fast movements from enough angles or quantify technique precisely enough for top-level training.
Reported impact
The Chinese National Diving Team and other sports programs gained faster, more quantitative feedback for training, while the same 3D+AI stack opened new audience-facing experiences for fast action sports.
Baidu AI Cloud built an AI Coach system for national-team training that combines high-speed video capture, 3D vision, motion analysis, and scene reconstruction. In the diving deployment, the system records the full motion from takeoff to water entry, extracts key frames, reconstructs movement in 3D space, and calculates quantitative indicators such as takeoff height, speed, landing distance, and rotation angle. Coaches and athletes can then rotate views freely and inspect technical details from the front, side, back, or above rather than relying on one flat replay. The platform also identifies action codes and difficulty coefficients, supports intelligent scoring, and pushes feedback back within seconds. Outside direct training, the same 3D+AI stack powers spectator experiences such as 'same-field competition' and virtual venue roaming by overlaying athletes in one reconstructed scene.
High-speed cameras capture training footage, which the AI Coach system converts into 3D motion data and quantitative metrics. The results are displayed back to coaches and athletes for rapid feedback, scoring, comparison, and ongoing training analysis.
Baidu AI Cloud built an 'AI Coach' for national teams that can be applied to winter sports, athletics, and other competitive events (original: 百度智能云为国家队打造“AI教练”，可以应用在冰雪、田径等其他竞技体育项目中).
Baidu and the Chinese diving team spent one and a half years on the project, and training efficiency improved 20% after AI Coach entered daily training in April 2021 (original: 历时一年半完成技术攻关，终于在21年4月让“AI教练”融入到选手的日常训练中，提升20%训练效率).
In diving, the system uses 3D vision and AI analysis to capture the full motion, return key metrics, and generate feedback within 3 seconds (original: 运用3D视觉感知、AI智能分析等技术…在3秒内快速归纳整理，经系统计算呈现腾空高度等重要动作指标).
The system solves three core training problems: motion capture difficulty, single replay perspective, and inability to quantify action standards (original: 可以解决体育训练的‘动作捕捉难、回看视角单一、动作标准难量化’三大难点).
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