Hardware-accelerated Function-as-a-Service (FaaS) enables cloud developers to deploy inference functionalities on edge devices. These functionalities provide a great developer experience and seamless migration of visual analytics from cloud to edge in a secure manner using a containerized environment.
This tutorial shows how to deploy the Intel® Distribution of OpenVINO™ toolkit module via Microsoft Azure* IoT Edge. Data can then be analyzed on devices instead of in the cloud.
Videonetics* offers a comprehensive suite of video computing applications that run on Intel® architecture to give modern cities timely and accurate information to improve the quality of life.
The 360° VR Flight Simulator Game Experience is Team Vitruvian VR's entry into the Intel® Ultimate Coder Challenge for VR where eight teams compete to build an earth-shaking commercial VR application. Read how this team used the services of an IoT expert to put the finishing touches on their entry.
In this video, see how these two toolkits can be used together to more easily build applications for online education, telemedicine, surveillance, sports and more.
Harnessing the power of the Intel® Xeon processor, the new IEI TANK* AIoT Developer Kit comes preconfigured with Intel’s latest SDKs and tools to get started quickly on your AI and computer vision solutions.
This tutorial explores the use of deep learning models for face detection, age, gender, emotion recognition, and head pose estimation.
This edition of the IoT Developer Show reviews the Intel® Distribution of OpenVINO™toolkit, which is designed to develop and deploy your computer vision applications in an industrial environment.
This webinar examines how security and safety in computer vision are enhanced by applications that use face detection, safety use cases, and deep learning models.
After installation, run two demonstration applications to compile the extensions library, and configure the Model Optimizer for one or more frameworks.