Use these instructions to install and run the the Python* classification sample that is included in the Intel® Distribution of OpenVINO™ toolkit.
Using the Intel® Distribution of OpenVINO™ toolkit, Advantech* created several solution-ready packages for vertical markets such as people counting, heat map analysis, facial recognition, and loss prevention.
Learn about industrial reference implementations created by Intel, including a solution that leverages computer vision to detect assembly line flaws.
Explore the design and operation of this self-balancing robot that was built using the Cyclone™ V SoC FPGA.
Watch this webinar to learn more about Intel® Vision Accelerator Design products, Intel® Distribution of OpenVINO™ toolkit, and the Intel® Neural Compute Stick.
Use the steps shown in the video to debug your Intel® processor-based target system using Intel® System Debugger 2019.
Learn more about the retail reference implementations from Intel, and take a closer look at a solution for monitoring traffic in a store.
This webinar shows how computer vision applications for manufacturing (such as flaw detection) can enhance production in industries.
This episode of the IoT Developer Show defines reference implementations, how they work, what hardware you can use to deploy them, and how they can be used in developing your own IoT solutions.
Get basic information about how the Model Optimizer works with MXNet* models, which models are supported, and how to convert a trained MXNet* model.
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