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Landing AI Secures Funding, Adds Dechow to Executive Team

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Manufacturing artificial intelligence company Landing AI named David L. Dechow vice president of outreach and vision technology. Dechow previously served as principal vision systems architect at Integro Technologies. He is a member of the A3 Vision & Imaging Technical Advisory Board and the A3 Vision & Imaging Education Committee.

David Dechow. Courtesy of Landing AI.
David L. Dechow. Courtesy of Landing AI.
"We're thrilled to have David join Landing AI and bring his hands-on expertise to helping manufacturers use cutting-edge deep learning," said Andrew Ng, founder and CEO of Landing AI. "The next era of AI is one in which companies in all industries access the benefits of AI. David's deep knowledge of machine vision and automation will help us get there."

Dechow said, "Adoption of deep learning for machine vision applications has been somewhat slow because of practical problems, including the challenges of on-line imaging and most importantly the potentially small data sets that deep learning technology could not handle. But Landing AI's technology makes cutting-edge deep learning work for automated inspection, and I look forward to helping bring these benefits to all manufacturers."

In November last year, Landing AI secured $57 million in Series A funding in a round led by McRock Capital. The investment will be used to accelerate product innovation, as well as to grow the company’s engineering and operations teams. As part of the deal, McRock cofounder and managing partner Scott MacDonald joined the Landing AI board of directors.

Landing AI's flagship product is LandingLens, an enterprise machine learning operations (MLOps) platform that builds, iterates, and operationalizes AI powered visual inspection solutions for manufacturers.
Jan 2022
machine vision
Interpretation of an image of an object or scene through the use of optical noncontact sensing mechanisms for the purpose of obtaining information and/or controlling machines or processes.
embedded vision
The practical use of computer vision in embedded systems that analyze system surroundings through digital processing and intelligent algorithms. Computer vision uses these processes to interpret meaning from images and video, giving it the capability to interact with its host environment. Usually, embedded vision is not intended to perform like a general purpose computer. Rather, it is designed to perform specific tasks such as driver protection with driver assistance systems capable of...
Landing AImachine visionDavid DechowAIEmbedded Visiondeep learningautomationfactoryindustrialcommercialimagingA3Association for Advancing AutomationThe News Wire

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