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Vision AI at IoT Edge Brings Broad Application Revolution
Computer vision has been around for a long time. We have been machine-reading typed text from scanned pages, getting information from QR codes and undertaking other forms of pattern matching on PCB assembly lines with automated optical inspection (AOI) systems. However, human operators have always needed to examine the results, which did not improve over time.
Understanding the Microsoft Vision AI Development Kit
Computer vision has come a long way since the days of reading text off of typed pages or helping identify shorts and opens on an assembly line. Advances in computing abilities, enormous amounts of data stored over the last 20 years in data centers and new and better algorithms have finally helped make artificial intelligence (AI) more than just a buzzword.
Microsoft Azure drives IoT deployments
The internet of things (IoT) is like a jigsaw puzzle—that is, a jigsaw puzzle with 7.8 billion pieces. Just like a jigsaw puzzle, each device in an IoT deployment needs to be in the right place and the correct orientation for the pieces to come together into a beautiful whole. Developers of IoT systems for major projects like industrial systems, smart buildings and smart cities face significant challenges keeping all the pieces in place, from provisioning, to updating software on specific devices, to managing maintenance notifications.