Apolo > 实例探究 > Altis:利用 AI 视觉技术彻底改变家庭健身

Altis:利用 AI 视觉技术彻底改变家庭健身

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技术
  • 分析与建模 - 实时分析
  • 网络安全和隐私 - 身份认证管理
适用行业
  • 教育
  • 石油和天然气
适用功能
  • 产品研发
用例
  • 计算机视觉
  • 实时定位系统 (RTLS)
服务
  • 云规划/设计/实施服务
  • 培训
关于客户
Altis 是一家消费者人工智能初创公司,旨在在家中舒适地提供定制的个性化健身训练。他们希望结合人工智能视觉技术来准确跟踪和分析运动,并提供指导健身指导和形式辅导。
挑战
Altis 是一家人工智能初创公司,希望利用人工智能视觉技术在家中提供个性化的健身训练。他们需要一个能够准确检测练习、识别动作错误并实时支持多个摄像头的系统。
解决方案
Altis 开发了 Altis 控制台,该控制台使用先进的人工智能和计算机视觉来进行个性化锻炼和交互式指导。他们实现了一个自定义数据管道,将 RGB 相机数据组合成 3D 热图和姿势模型。该系统运行在Nvidia 3090硬件上并实现了实时性能。
运营影响
  • The implementation of the AI system has revolutionized the way Altis offers fitness training. The system's ability to accurately track and analyze movements, identify a wide range of exercises, and detect errors in form has significantly improved the quality of fitness instruction provided. The use of multiple cameras has enhanced the system's accuracy and speed, resulting in faster processing and fewer errors from potential occlusions. The system's ability to run on both hardware and cloud-based inference has provided Altis with the flexibility to scale globally without being tied to a single cloud provider. This has not only maximized asset utilization but also controlled costs.

数量效益
  • The resulting model achieved a median error of less than 3cm per keypoint.

  • The system runs at 75 FPS while pose tracking.

  • In single-view setup, results are comparable with the current state of the art.

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