Edge Insights for Vision
Deploy computer vision and deep learning workloads at the edge with prevalidated software components.
Overview
Deploy computer vision and deep learning applications optimized for Intel® architecture.
Simplify installation for media and inference workloads at the edge.
Run multiple inference workloads on a single Intel® Vision Accelerator Design with the Intel® Movidius™ VPU.
Software Architecture
Featured Components
Intel® Distribution of OpenVINO™ Toolkit
Develop and optimize AI and computer vision applications. The Intel® Distribution of OpenVINO™ toolkit maximizes performance and extends workloads across Intel® hardware, including accelerators.
Integrate workloads with an open source framework that provides data and communications interoperability between devices and applications at the IoT edge.
Recommended for Intel® Xeon® processors and 6th to 8th generation Intel® Core™ processors.
Supports hardware acceleration on CPU, iGPU, VPU, and the Intel® Neural Compute Stick 2.
Use Cases and Reference Implementations
Documentation
Understand the components, services, architecture, and data flow in Edge Insights for Vision.
Instructions for installing the software and validating the installation.
Step-by-step examples to familiarize you with the software's core functionality.
Hardware Qualification
Original device and equipment manufacturers (ODMs and OEMs) can learn how to include devices in our recommended hardware program or the Edge Software Hub.