AI fire detection is helping catch forest fires faster than ever before. Learn more about how computer vision is playing a huge role in spotting the first signs of smoke, even on foggy days.
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What’s the best way to train AI models that accurately represent real-world conditions? You need to get out of the lab and an agile approach to identify and adjust to unexpected data sets. Read how.
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Can companies collaborate on development, integration, and services to come up with winning solutions? Absolutely. Read on to find out how.
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Developing and deploying computer vision solutions can require significant experience, resources, and time. The UP! AI Safety Development includes everything needed to start an AI vision project.
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Brick-and-mortar retailers are catching up with e-commerce businesses in how they use data to gain insight into customer behavior and brand preferences.
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Machine vision requires sophisticated sensors, high-performance I/O, and powerful processors. But more than that, these systems need to be upgradable....
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Machine vision is finding its way into a variety of applications, including digital security and surveillance (DSS) and smart retail systems.
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Boards like the Raspberry Pi are great for makers—but if you want to turn professional, you’ll need another solution. Enter the UP boards, which b...
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Delivering long-term savings and efficiencies requires the right Internet of Things components. Learn how a modular IoT gateway solution based on Inte...
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The Raspberry Pi 2 is the de facto standard for today’s maker market, but there has been nothing similar in a credit-card-sized form factor x86 boar...
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Each new generation of Intel® Core™ processor delivers a higher level of integrated graphics. Running up to three independent displays with Ultra H...
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With electronic health records (EHR) on one system and picture archiving and communications systems (PACS) on another, surgeons face a knowledge gap a...
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