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Computer vision is one of the most widely deployed use cases for AI today, enabling artificial intelligence (AI) systems to quickly identify objects and people.
The global market for computer vision hardware and software services is expected to reach $41 billion by 2030, according to Allied Market Research, and it is a market that is attracting interest from vendors.
At the Intel Innovation 2022 event today, the chipmaker revealed details about its push into computer vision with its Intel Geti platform and OpenVINO toolkit software for deep learning and AI inference.
“Computer vision models use artificial intelligence to predict and extract valuable insights from images and video,” said Adam Burns, vice president and director of AI development tools at the Network Group. and edge (NEX) from Intel at an Intel Innovation 2022 press briefing.
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Burns said the information computer vision models can detect ranges from identifying a defect during a manufacturing process to being able to determine how many people are lining up at a restaurant. He added that computer vision is being used to drive business automation, productivity and innovation across many verticals and demand is growing rapidly.
Sonoma Creek is now rebranded as Intel Geti
Intel has been working on developing its own computer vision platform under the code name Sonoma Creek. This effort is now paying off under the renamed Intel Geti name.
Intel’s goal with Geti is to help accelerate the adoption of computer vision, using Intel hardware and software. Geti provides a user interface that allows users to load and annotate data, and train and retrain models.
“Intel Geti is a computer vision AI platform that enables anyone in the enterprise to rapidly develop AI models that improve business innovation and digital transformation,” Burns said. “We understand the value of AI and computer vision in business and we also understand the development barriers to adoption.”
Burns pointed out that Intel’s motivation with Geti was to make computer vision more accessible, allowing those who may not have deep experience with AI or machine learning to create quickly and easily. high quality models.
Geti’s early adopters include healthcare
While Intel is only publicly announcing Geti today, it already has more than 30 active partners in the Technology Early Access Program.
One such early access user is the Royal Brompton Hospital in the UK, where clinicians use Geti to help with their research into rare respiratory diseases. Without any AI expertise, Burns said the Royal Brompton team is able to train AI models like they would a human member of the research team to analyze research data.
Having trained AI models helps to speed up the image processing process. “This solution can help dramatically improve early diagnosis and treatment options for patients with serious respiratory diseases like cystic fibrosis,” Burns said.
Another early use case, also outside the UK, involves visual analytics provider Sensing Feeling, which is developing a solution with Intel Geti to monitor edge analytics and improve construction worker safety.
“Using the computer vision model created by Intel Geti, their solution can detect when heavy equipment or machinery is in unsafe proximity to other equipment or personnel,” Burns said.
Open the Vino for Intel Geti
Geti isn’t the first time Intel has had an initiative to help build computer vision models. In 2018, Intel announced its OpenVINO toolkit designed to help build computer vision models for the edge.
Burns said OpenVINO and Geti are actually complementary technologies that serve different AI modeling needs.
“Enterprise users can upload images and quickly create computer vision models with Intel Geti, then deploy those models using OpenVINO at scale on Intel hardware,” Burns said. “Intel Geti can generate an optimized and ready-to-deploy OpenVINO model with the press of a button, saving additional optimization steps.”
At Intel Innovation 2022, the company also announced the release of OpenVINO 2022.2, which adds support for Intel GPU Flex Series data center processors that were released in late August. The updated version of OpenVINO also adds a new automated optimization feature that will discover all available computes and GPUs in a system.
“With OpenVINO and now Intel Geti, we have continued to try to make AI accessible to decision makers and developers within the enterprise,” Burns said. “Together, these two products enable the rapid development and deployment of computer vision models.”
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