视觉边缘洞见
使用预先验证的软件组件在边缘部署计算机视觉和深度学习工作负载。
概述
部署针对英特尔® 架构优化的计算机视觉和深度学习应用程序。
简化媒体和推理工作负载在边缘的安装流程。
使用英特尔® Movidius™ 视觉处理器 (VPU) 在单个英特尔® Vision Accelerator Design 上运行多个推理工作负载。
软件架构
特色组件
开发和优化 AI 和计算机视觉应用程序。英特尔® 发行版 OpenVINO™ 工具套件可以实现性能最大化，并在包括加速器在内的全部英特尔® 硬件上扩展工作负载。
集成工作负载与开源框架，该框架提供物联网边缘设备和应用程序之间的数据和通信互操作性。
建议用于英特尔® 至强® 处理器和第 6 代至第 8 代智能英特尔® 酷睿™ 处理器。
支持在 CPU、iGPU、VPU 和英特尔® 神经电脑棒 2 上的硬件加速。
用例和参考实施
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硬件条件
原始设备制造商（ODM 和 OEM）可以了解如何将设备纳入我们推荐的硬件程序或边缘软件中心。