Mouser backs automation engineering conference

Mouser backs automation engineering conference

Mouser is supporting a virtual conference for automation engineers globally. Control Automation Day 2026 will cover AI, robotics, machine vision, control systems, and industrial automation technologies.


IN Brief:

  • Mouser is a major sponsor of Control Automation Day 2026.
  • The virtual event is aimed at control engineers and system integrators.
  • Sessions cover AI, machine learning, robotics, machine vision, automation products, and industrial design resources.

Mouser Electronics is supporting Control Automation Day 2026, a free virtual conference and trade show for control engineers and system integrators.

The event is hosted by Control.com and scheduled for 15 July 2026. Its theme, Engineered for Real Results, brings together professional training, interactive question-and-answer sessions, technical information, product updates, and supplier resources for industrial automation projects. Schneider Electric, Siemens, Banner Engineering, Phoenix Contact, NXP, and other manufacturers are linked to the programme.

The agenda focuses on technologies shaping automation, including AI and machine learning, robotics, machine vision, safety, sensing, industrial connectivity, power devices, and control-system design. Mouser will participate through a digital booth with technical resources, product information, eBooks, newsletters, and material from its Empowering Innovation Together series.

Control-system design is now spread across more layers of technology than the traditional PLC, drive, sensor, and cabinet stack. Machine builders and integrators increasingly combine sensing, edge compute, industrial networking, machine vision, safety, power conversion, cybersecurity, and AI-assisted decision-making. The engineering workflow is more connected, and the component selection burden has grown with it.

The same convergence is visible in processor and software decisions. Rutronik’s addition of Intel processors for physical AI placed robotics and automation workloads around local inference, multi-sensor fusion, object recognition, and real-time control. In long-lifecycle embedded software, SYSGO’s ELinOS 8 update added SBOM generation, hardening, and broader board support for industrial Linux deployments.

Distributor-led technical events have become more useful as product categories converge. A machine vision project may require sensors, optics, lighting, processors, memory, connectors, power supplies, networking, enclosures, software libraries, and safety devices. A robotics project may combine motor drives, encoders, current sensing, AI acceleration, emergency-stop functions, wireless links, and industrial Ethernet.

Mouser’s automation portfolio spans predictive maintenance, control-panel devices, industrial power, sensors, and safety products. Its role as an authorised distributor gives the event a practical sourcing dimension, particularly where concept development has to turn into a bill of materials without separate supplier discovery for every subsystem.

AI and machine learning will draw attention, while integration remains the harder test. Industrial automation projects are judged by uptime, repeatability, safety, maintainability, and serviceability. AI systems that cannot be validated, monitored, or maintained will struggle in production environments, regardless of model performance in demonstration conditions.

Machine vision has followed a similar path. Cameras and processors are more capable, but production systems still depend on lighting, fixtures, calibration, environmental control, trigger timing, data handling, and operator workflows. Events that connect hardware, software, and application detail can reduce the gap between technical ambition and plant-floor deployment.

Control Automation Day gives suppliers a route to present that broader stack, while giving engineers a compact way to review automation technology without travelling. Its value will depend on the technical depth of the sessions and the extent to which product information is connected to real control, safety, and integration constraints.


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