Intel announces the OpenVINO™ (Open Visual Inference & Neural Network Optimization) toolkit designed to fast-track development of high-performance computer vision and deep learning inference applications at the edge.
Learn more about applications and solutions using the new OpenVINO™ toolkit. Based on convolutional neural networks (CNN), the toolkit extends workloads across Intel® hardware and maximizes performance.
Discover how the new OpenVINO™ toolkit can help developers overcome fundamental challenges such as bandwidth, storage, and latency limitations. Learn how the kit can help to meet power, performance and cost requirements for your applications.
Intel is pre-announcing two partner kits that are fully configured with the new OpenVino™ toolkit. For broad, smart vision deployments, the IEI TANK AIoT* Development Kit is configured for a rapid path to market. The UP* Squared AI Vision Development Kit by AAEON* is an entry-level kit ideal for conceptualization and early development.
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Check out the latest commercial smart video solution reference implementations using the latest in Intel® Vision products and tools.
Create a custom field programmable gate array (FPGA) hardware design. Use the IP available in the Intel® FPGA IP library plus the Qsys* system integration tool.
Understand how investing in innovative technologies such as autonomous mobile robots (AMRs) will help you drive down costs while increasing IT and business value
Set Up a Time Series for Sensor Data Using Amazon Web Services (AWS)* Greengrass and the UP Squared* Board
Follow these detailed steps to create and publish a time series for collected sensor data. Publish your series information using Amazon Web Services (AWS)* Greengrass.
Use this step-by-step guide to troubleshoot and establish an alternative connection using a serial terminal.
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