Intel has released a series of open-source reference implementations for computer vision that show how specific retail use cases can be adopted to benefit the industry.
Review this series of reference implementations that show how specific use cases can be adopted to benefit production, security, inventory tracking, safety, and even quality assurance in an industrial setting.
IoT developers can speed up their time to production using pretrained models included in the OpenVINO™ toolkit. These open-source sample videos can be used to test the pretrained models.
Learn about transparent hardware acceleration with this self-paced workshop that features the OpenVINO toolkit.
Get details on the hardware components necessary to create a smart kiosk including media players, interactive displays, batteries, Wi-Fi, and more.
Review details about the hardware, software, and technology required to create digital signage, kiosks, and other displays.
Step-by-step instructions to use your development kit to run and modify a computer vision application.
earn how to use Thinger.io platform on an UP Squared* board running the Ubuntu* operating system. You will create a light sensor, which will record and display in a time-series chart.
Intel® Smart Home Developer Kits provide building blocks to create and modify innovative devices for consumers, including adding voice to an existing device. Read more about the possibilities.
This entry-level kit by AAEON* supports deep learning inference across Intel® CPUs, GPUs, and VPUs. It contains the OpenVINO™ toolkit for a wide range of hardware acceleration options.