Public touchscreens and shared HMIs need careful design choices, from seamless screen construction to cleanable surfaces and application-specific hygiene requirements.

A look at why hardware reliability, lifecycle management and platform stability matter when choosing embedded hardware for IoT and industrial systems.

Three embedded platform use cases showing how modular computing can support HMI, IoT gateway and customer-interaction display applications.

Industrial automation projects often need more than standard hardware. This article explains how flexible module-based designs and custom SBC solutions can help meet specific performance, interface and lifecycle requirements.

There is a lot of buzz around the deep learning technology and the remarkable market growth it has made. A deep learning solution, unlike AI and ML, needs a huge amount of embedded data and computational power to make machines learn human behavior, store knowledge, and make predictions using a trained neural network.

AI inference at the edge can help turn sensor data into faster, more actionable decisions across healthcare, transport, manufacturing, robotics and security.