As retailers increasingly rely on real-time data to optimize store operations, physical AI & automation systems are becoming essential to ensure accuracy and efficiency at scale. To support this transformation, Simbe partnered with ASRock Industrial to enhance the performance and reliability of its Tally autonomous shelf-scanning robot, part of the larger Store Intelligence™ platform. Built using ASRock Industrial’s NUC-255H Industrial Motherboard, the system acts as the core computing platform, enabling real-time sensor fusion, navigation, and AI processing within fast-charging retail environments. This integration enhances operational consistency while supporting scalable deployment of intelligent, data-driven retail solutions.
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Collaborative Systems Integration (CSI), in partnership with ASRock Industrial, both members of the OPAF (Open Process Automation Forum) and COPA (Coalition of Open Process Automation), successfully validated a standards-based systems management architecture aligned with the Open Group O-PAS™ Standard.
The joint effort demonstrates how Distributed Control Nodes (DCNs) can be securely discovered, provisioned, managed, and continuously monitored within an open, software-defined industrial ecosystem, enhancing interoperability, scalability, and lifecycle efficiency across modern process automation environments.
A key milestone of the initiative was the integration of the ASRock Industrial iEP-7020E with AiSMA (ASRock Industrial System Management Architecture), a Redfish® agent native lifecycle management framework, forming the DCN management foundation to enable O-PAS™ system management & orchestration functions.
In response to growing global demand for reliable and resilient energy systems, Texas A&M deployed a COPA 500 based AI nuclear control system integrated with ASRock Industrial’s iEP-5000G/iEP-7000E Series platforms as Distributed Control Nodes (DCNs) for real time execution and validation. Powered by deterministic edge processing, the system enables secure coordination between predictive AI models and physical reactor controls, delivering precise timing, operational reliability, and safe real-time monitoring for advanced nuclear research environments.
了解更多As digital transformation accelerates across manufacturing, retail, healthcare, and critical infrastructure, edge computing has become a foundational layer of modern operations. Devices deployed at the edge now process sensitive data, control physical systems, and enable real-time decision making, bringing unprecedented efficiency while also expanding cybersecurity risk. To address these growing threats, the European Union has introduced the EU Cyber Resilience Act (EU CRA), fundamentally redefining cybersecurity expectations for products with digital elements sold in the EU market. Under the CRA, cybersecurity is no longer an optional feature or post-deployment add on, it becomes a baseline requirement by design, enforced across the entire product lifecycle.
了解更多A renowned global donut chain upgraded its digital signage with ASRock Industrial’s iBOX-J6412 to achieve standardized deployment across both indoor and outdoor displays. The solution delivers high performance at a competitive cost, ensures long-term availability, and operates reliably in diverse environments, enabling consistent, seamless customer experiences cross all locations.
了解更多A sustainability-driven innovator in plastic recycling, GR3N implemented a modular, scalable, and vendor-neutral control system to support its microwave assisted deploymerization process, enabling infinite PET recycling with high purity polymer recovery. The solution enables scalable production by integrating UAO IEC 61499 runtime with ASRock Industrial’s iEP-5000G and iEPF-9000S platforms, delivering flexible and open edge control. By aligning modular plant automation with process design, GR3N lowers engineering costs, improves total cost of ownership (TCO), strengthens IP protection, enables data-driven optimization, and seamlessly integrates OT and IT systems.
了解更多In a joint effort to modernize warehouse operations, J&W partnered with ASRock Industrial to deploy an intelligent hybrid automation system that integrates a human-cobot system with a modular conveyor loop, vision-based control gates, and autonomous mobile robots (AMRs). Powered by ASRock Industrial’s iEP-5000G industrial edge controller running IEC 61499, the system enables seamless coordination across control systems, robots, and IT platforms, bringing real-time responsiveness, efficiency, and scalability for e-commerce logistics center’s workflows.
了解更多A global leader in semiconductor packaging, specializing in IC substrate manufacturing, deployed an advanced AI AOI system for second-stage inspection to streamline its post-AVI (Automated Visual Inspection) process. The solution integrates PEGATRON's PEGAAi, an end-to-end AI platform, with ASRock Industrial’s iEPF-9030S Robust Edge AIoT Platform. By leveraging edge AI capabilities, the solution performs automatic anomaly detection, significantly reducing manual re-inspection workload, improving inspection efficiency, and enhancing yield stability. The deployment highlights the powerful synergy of smart AI software and rugged, high-performance hardware, accelerating smart manufacturing in the semiconductor industry. Furthermore, the scalable solution PEGAAi has been successfully deployed in more than 13 PEGATRON factories worldwide, with a total of 400 to 500 sites.
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Elementary, a leader in AI-powered machine vision, adopted ASRock Industrial’s iEP-7020E Series to power a compact AI vision inspection system for simpler applications, enabling real-time anomaly detection with up to two cameras. The new solution reduced system footprint by over 75% and lowered total cost, while maintaining low-latency performance and improving deployment speed, energy efficiency, and reliability.
SmartRay integrated ASRock Industrial’s iEP-7020E Series Industrial IoT Controller into its JOSY 3D Visual weld inspection system to deliver precise, real-time, and fully automated weld quality control of automotive production. The collaboration enhances manufacturing efficiency by ensuring 100% inline inspection, reducing rework, and supporting data-driven process optimization.
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