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Every manufacturing executive has heard the pitch by now. Digitize your factory. Unlock data-driven insights. Achieve real-time visibility. The ROI projections in the slide decks are compelling. The case studies sound almost too good.... Read more

Machine vision systems catch defects that human inspectors miss at line speed. A surface inspection camera above a battery electrode web running at 100 meters per minute is acquiring 60 frames per second and looking for pinholes smaller than 0.1 mm. No human can do that reliably for eight hours. The machine can, if the system is specified correctly. That last condition is where most machine vision implementations run into trouble. Camera selection gets careful attention. Software gets careful attention. The cables connecting the camera to the computer system were available in the right length. Then the system drops frames intermittently in production, and nobody can figure out why.... Read more

Industry 4.0 is transforming manufacturing by combining connected devices, intelligent software, automation, and real-time data into a more responsive and efficient operating environment. While the term is often used broadly, Industry 4.0 is built on a specific set of technologies that enable smarter decision-making, greater operational visibility, and increased production flexibility. Understanding how these technologies work together—and the infrastructure required to support them—helps manufacturers prioritize investments and build a practical roadmap for digital transformation.... Read more

There's a specific problem that comes up constantly in brownfield IIoT projects: you have a Modbus RTU device on an RS-485 bus that's been running reliably for 15 years, you need its data on a cloud platform for predictive maintenance, and nobody wants to replace the device. The field device works. The protocol works. What's missing is the bridge between the OT world it speaks and the IP world everything else expects.... Read more

Artificial intelligence (AI) and machine learning (ML) are rapidly becoming foundational technologies in modern manufacturing. From predicting equipment failures and identifying product defects to optimizing production processes and reducing energy consumption, industrial AI helps manufacturers turn operational data into actionable insights. However, successful AI deployments depend on more than algorithms alone. Reliable sensors, industrial networking, edge computing, and high-quality data collection are the foundation that enables AI systems to deliver meaningful business outcomes on the factory floor.... Read more

Remote industrial sites are a different problem from securing a main plant or a corporate office. There's no IT team on site. Physical access is infrequent — sometimes monthly, sometimes less. The equipment running those sites was often installed years before anyone started worrying about OT cybersecurity. And the consequences of a failure aren't just data loss: they're production stoppages, safety incidents, and, in critical infrastructure, potentially much worse.... Read more

Predictive maintenance has become one of the most practical and measurable applications of Industrial Internet of Things (IIoT) technology. By using sensors to continuously monitor equipment condition, manufacturers can identify developing problems before they result in costly downtime, emergency repairs, or production disruptions.... Read more

Copper Ethernet has served industrial networks for decades, and it will continue to serve them well for access-layer connections — device drops, patch runs, PoE-powered cameras and access points. But smart manufacturing architectures are pushing copper to the edge of its envelope in ways that matter for plant network engineers.... Read more

Cloud computing changed what's possible for manufacturing analytics. Centralizing data from hundreds of machines, training machine learning models on years of production history, building dashboards that compare OEE across six facilities — none of that worked well before cloud platforms made it practical.... Read more

Digital twins have become one of the most discussed technologies in Industry 4.0, but the concept is often misunderstood. While many people associate digital twins with 3D models or simulations, a true digital twin is a live, continuously updated representation of a physical asset or process.... Read more