ew 2024: ADLINK Takes Edge AI Innovations to the Next Level
Richard Pinnow, Business Development Manager of Modules for ADLINK Technology, discusses how it’s helping customers overcome AI challenges at embedded world 2024.
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Richard Pinnow, Business Development Manager of Modules for ADLINK Technology, discusses how it’s helping customers overcome AI challenges at embedded world 2024.
Watch Video
With today’s autonomous vehicle technology, the future of safe, driverless transportation is not far down the road. The potential is exciting—from agriculture to freighters, mining, and beyond.
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Private 5G networks, edge AI, and CV are being deployed in the most remote of locations. In combination, these technologies can streamline industrial operations, increase safety, and lower costs.
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Machine vision on the factory floor is not new. But when paired with AI at the edge, it solves complex problems—taking industries from automation to autonomy using real-time data.
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Edge AI is being used to help improve smart factory operations, enhance product defect detection, and streamline supply chain management—both inside and outside of the shop floor.
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Today, the demanding job of fusing heavy steel is performed by robotic welders. When assisted by AI and CV, quality control shifts to high gear—finding defects in real time.
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How can AI and Machine Learning help NASCAR engineers design and build better racing engines? Automated condition monitoring and real-time analytics provide the test tools they need. Find out how.
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How can plant managers prevent unplanned downtime on the factory floor? AI, CV, and real-time analytics make it possible. Read how solution integrators work with SIs to make deployments easier.
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What can manufacturers learn from race cars? How to use AI for machine monitoring. Join us for a wild ride that covers everything from edge inferencing to sensor fusion.
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IDS/IPS are vital to IoT network security but require packet processing systems that can handle evolving traffic and threat landscapes.
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This ADLINK/iGR white paper leverages survey data from the largest 5G user demographic—Millennials—to forecast 5G services and use cases.
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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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Manufacturers can test Smart Factory deployments without financial risk. Digital experiments can validate a solution, quantifying results before deployment, saving time and money.
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SD-WANs reduce costs and improve resiliency compared to traditional networks with dedicated links. They also satisfy the real-time communications requirements of multi-node edge applications.
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IoT and machine learning are increasing the demand for high-performance, real-time compute in industrial systems. COM Express Type 6 modules based on multicore Intel® processors are up to the task.
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Containers used in agile software development also enable flexible and responsive IoT solution development.
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Connecting the shop floor with the top floor assumes that factory equipment can be connected at all. One solution brings legacy machines into the smar...
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