Elektor Magazine

1 week ago | elektormagazine.com | Thomas Joos

Firmware updates for IoT devices are indispensable in industrial applications. In view of the increasing networking of industrial networks, efficiency and security are paramount. Microcontrollers often form the basis of these IoT devices. Due to their limited resources and the complex requirements in production environments, they require adapted and robust security mechanisms to prevent tampering and attacks during updates.

2 weeks ago | elektormagazine.com | Roberto Armani

In writing technical articles, we often risk losing some language accuracy, and this becomes more evident in rigorous fields — such as metrology — where each term has a very specific usage and, generally, inappropriate terminology is not well-tolerated. Measurements A measurement is, by definition, a numerical relationship resulting from the comparison of a given quantity to another, homogeneous to it and of known value, considered as a reference.

3 weeks ago | elektormagazine.com | Stuart Cording

Adding a complex new feature like graphics and a touch interface to an embedded system typically means changing microcontroller supplier. And that usually means learning how to use new software libraries, tools, and IDE. Bridgetek, with their EVE Embedded Video Engine chipsets, helps developers add impressive graphics and integrate camera feeds with their current MCU, as long as a spare SPI interface is available.

1 month ago | elektormagazine.com | Stuart Cording

Rust has been gaining much attention from embedded systems developers, with its promise of better code and memory safety. AdaCore, well-known as a supplier of Ada, C, and C++ tools to industries where safety is critical, such as aerospace and defence, is responding to this growing interest in Rust. They’re exploring how to prepare this language for these applications, ensuring tools meet the wide range of existing standards and regulations. However, there is more than just the tools.

1 month ago | elektormagazine.com | Stuart Cording

By cascading machine learning models, low-power algorithms can make a preliminary assessment of data. Should core attributes be present, additional, more power-hungry processing can be undertaken by a second algorithm, such as a large language model. VLMs, or vision language models, increasingly make their way into edge systems, allowing natural language algorithms to detect objects or describe a scene.