Can a recipe-like approach make it easier to develop industrial AI-enabled applications? When it comes to smart factory visual quality inspection applications, the answer is “definitely.” Read how.
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A public bus system in Taipei needed to improve public safety. Its approach? In-vehicle computers, processing data in real time, gave bus drivers the equivalent of a second pair of eyes. Read how.
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Defect detection requires multiple types of computer vision with different compute requirements. That’s why a platform with flexible combinations of CPUs, GPUs, and AI accelerators is so valuable.
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How adaptable are AI and computer vision frameworks? Quite a bit, actually. Read how one company applied its city and traffic safety technologies to help make factories more safe and secure.
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Why are patient falls such a challenge for hospitals and clinics? They’re costly to prevent and costly when they happen. Read how computer vision and real-time analytics can help.
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ROS is a great open source tool for building mobile robots. But it has its limitations. Read how a developer kit can cut programming time in half while offering vendor warranty and support.
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Can manufacturers really get computer vision applications up and running with limited time and AI development expertise? Read how an AI-ready development kit provides the platform to do just that.
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How can developers cut down buildout time for AI solutions like self-service kiosks? Leveraging algorithms and using existing systems is one approach. Read how one company is making this happen.
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What if systems integrators could develop AI-enabled, self-checkout POS systems with a “Lego-like” approach? Simple. They could get to market faster with tailored solutions. Learn how.
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Can utilities add real-time analytics to legacy substations without disruptions? Drop-in software makes it possible, plus saves time and resources. Read on to find out how.
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How can developers add machine vision to an autonomous mobile robot (AMR) in a single day? Read how a kit makes it simple to test robot design and code in the cloud and build a PoC right out of...
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By rethinking how they deliver IoT solutions, SIs can expand their customer pool. The key is knowing how to customize off-the-shelf systems.
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As the IoT extends its reach, SIs must partner with their customers to create complex solutions. Here’s how this impacts the relationship between SIs and distributors.
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What happens when robots move hospital supplies from storerooms to operating rooms? Healthcare workers can be more productive. Read how AI, computer vision, and deep learning make it possible.
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Digital indoor playgrounds incorporate interactive technology into learning. Read how AI, computer vision, and augmented reality have reinvented kids’ spaces.
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Developers can now deploy edge computer vision and AI applications faster and at lower cost. Read how Intel® Movidius™ and the Intel® OpenVINO™ Toolkit are helping make it possible.
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What happens when doctors use AI to analyze patient data? They get better information when they need it. Read how innovative technologies make it possible.
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What if people could get a checkup without going to a doctor? More would get healthcare advice, helping to enhance their well-being. Read how AI and the IoT enable self-serve health assessments.
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What if food producers could track their products from farm to freezer? More fresh food would reach the consumer. Read how AI and the IoT enable real-time, cold-chain monitoring.
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How can businesses improve energy efficiency and lower costs? AI and machine learning are making this a reality. Read how an SaaS solution simplifies building energy usage visibility and control.
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