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Talk to our team about your industrial computing, networking or control requirements. We're here to help you design the right solution.
Advantech industrial computers are designed to deliver reliable, high-performance computing for demanding industrial and edge applications. As a global leader in industrial computing, Advantech provides scalable IPC solutions that support everything from machine automation and vision systems to edge AI and IIoT deployments. With powerful processing options, flexible expansion, and extensive I/O connectivity, these systems enable real-time data processing and improved operational efficiency at the edge.
As an official Advantech partner, we combine industry insight and technology know-how to deliver fully validated, ready-to-deploy solutions tailored to your specific applications requirements. Speak to our technical engineers today to discuss your requirements.
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Speak to a member of our friendly team to discuss your project and find out how we can support you. Our technical sales team are ready to answer your questions.
Call: +44 (0)1782 337 800 | Email: sales@impulse-embedded.co.uk
When off-the-shelf systems can't meet your application demands, we can help. We design and build custom industrial computers tailored to your specific I/O requirements, operating environment, enclosure constraints and lifecycle needs, with full OEM branding and white-labelling options available.
The Advantech MIC-760 combines 12th/13th/14th Gen Intel® Core™ processing with a compact fanless design for reliable operation up to 60°C. With 3 Ethernet ports, 4 USB 3.2 ports, isolated DIO, CANbus and serial connectivity, it’s well suited to AMR, machine vision, LiDAR and industrial automation applications.
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Rolling-stock data logger for Siemens Rail
Spurious error messages, especially those from rolling-stock subsystems, can be difficult and time consuming to diagnose. Siemens Rail, in Manchester, wished to install a data logging system onto their rolling stock to transmit data in real-time back to their depot for efficient data analysis by their team.