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automotiveSeptember 10, 2026

OnLogic Showcases AI-Driven Manufacturing Solutions at IMTS 2026

Discover how OnLogic's rugged, purpose-built hardware is transforming smart manufacturing in ASEAN factories.

Transforming Smart Manufacturing with Rugged Hardware and AI Solutions \\[1] The 2026 International Manufacturing Technology Show (IMTS) in Chicago will be a pivotal event for the future of manufacturing. One of the key exhibitors, OnLogic, a global industrial computing manufacturer and edge AI specialist, will showcase a comprehensive range of hardware solutions designed to bring artificial intelligence and automation to the factory floor. This is particularly relevant for ASEAN factories, which are increasingly looking to adopt advanced technologies to stay competitive. \\[2] At Booth 236609 in the North Hall, visitors will see live demonstrations of OnLogic's purpose-built hardware, including the new EdgeLogic SoftPLC appliance. This innovative solution offers a more flexible alternative to traditional, proprietary programmable logic controllers (PLCs). By combining industrial-grade hardware with optimized CODESYS SoftPLC software, the EdgeLogic appliance provides pre-validated real-time machine control out of the box. This means that engineers and system integrators can bypass the time-consuming process of BIOS configuration, driver setup, and OS tuning, while also reducing the costs associated with proprietary control systems. \\[3] For factories in Thailand, Vietnam, Indonesia, and Malaysia, this technology can significantly enhance operational efficiency. In Thailand, where the automotive and electronics industries are major economic drivers, the adoption of such advanced hardware can lead to improved production quality and reduced downtime. Similarly, in Vietnam, where the manufacturing sector is rapidly growing, these solutions can help factories scale up their operations without compromising on performance. In Indonesia, where the food and beverage industry is a significant contributor to the economy, the use of AI-driven automation can ensure consistent product quality and compliance with safety standards. In Malaysia, where the semiconductor and medical device industries are thriving, the integration of edge computing and AI can drive innovation and maintain a competitive edge. \\[4] OnLogic's booth will feature live, interactive demonstrations from several industry partners, including Microsoft, Nokia, Inductive Automation, CODESYS, Edge Impulse, and ZEDEDA. These demonstrations will highlight how OnLogic's hardware can support a wide range of applications, from containerized cloud workloads and real-time machine vision to private wireless networks and centralized edge management. For example, Microsoft will demonstrate Azure Local on small form factor edge platforms, enabling factories to extend cloud capabilities to the factory floor. Inductive Automation will showcase Ignition software running on OnLogic hardware, providing enterprise-wide SCADA and IIoT data collection. \\[5] The benefits of these solutions are clear: they enable factories to deploy AI and modern automation directly at the physical edge, where data originates. This not only reduces latency but also ensures that sensitive data remains secure and within the factory's control. For ASEAN manufacturers, this means the ability to implement cutting-edge technology without the need for extensive infrastructure changes or the risk of data breaches. \\[6] As ASEAN factories continue to embrace Industry 4.0, OnLogic's solutions offer a compelling path forward. By leveraging rugged, purpose-built hardware and AI, manufacturers can achieve higher levels of efficiency, productivity, and innovation. Factory buyers in the region should consider visiting OnLogic at IMTS 2026 to explore how these solutions can be integrated into their operations. To learn more about OnLogic's hardware solutions for manufacturing, visit [their website](https://www.onlogic.com/solutions/smart-manufacturing/).

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Editorial rewrite by ASEAN Machine team, based on public reporting from Manufacturing Tomorrow, with added ASEAN manufacturing context.

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