Intel Launches Neural Network Toolkit for High-Performance IoT Video Processing
On Wednesday Intel Corp. announced a new artificial intelligence (AI) solution: Open Visual Inference & Neural Network Optimization toolkit, a.k.a. OpenVINO.
According to the company, the product is designed to "fast-track development of high-performance computer vision and deep learning inference applications at the edge" for professionals working with imaging and "video use" cases across all Internet of Things (IoT) segments.
In announcing the product in a written release, Tom Lantzch, Intel's senior vice president and general manager of the IoT group, pointed out that many of its customers' AI-based IoT projects -- with goals as diverse as searching production lines for product defects to monitoring maintenance levels on equipment in far-flung locations to large-scale crowd surveillance -- "leverage high-resolution cameras and create extraordinary amounts of data, which needs to be aggregated and analyzed."
"With the addition of the OpenVINO toolkit to the Intel Vision Product lineup," he continued, "Intel's vision solution provides the capability to distribute AI solutions from the edge to the network to the cloud across a diverse set of products. This empowers our customers with the flexibility to economically distribute vision solutions for actionable business insights."
According to Lantzch, OpenVINO is already in use by several Intel customers, including GE Healthcare, Honeywell, Dell and Agent Vi.
More information on the OpenVINO toolkit can be found here.
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Becky Nagel serves as vice president of AI for 1105 Media specializing in developing media, events and training for companies around AI and generative AI technology. She also regularly writes and reports on AI news, and is the founding editor of PureAI.com. She's the author of "ChatGPT Prompt 101 Guide for Business Users" and other popular AI resources with a real-world business perspective. She regularly speaks, writes and develops content around AI, generative AI and other business tech. She has a background in Web technology and B2B enterprise technology journalism.