SMARC 2.0 modules stand out thanks to their large number of graphics, camera, sound, network and optional wireless interfaces. They therefore offer embedded system developers a complete, off-the-shelf, credit-card-sized embedded computing core that is ideal for both IoT connected multimedia platforms as well as many other graphics-intensive low-power applications. The updated specification SMARC 2.1 extends this feature set even further.

Living at the Edge can be tricky. That?s the Edge of the IoT that I?m referring to. When you?re one of the leading providers of microprocessors, as NXP clearly is, you have lots of questions that must be addressed. Two big ones concern security and AI. In this week?s Embedded Executives podcast, I spoke to NXP?s Ron Martino, Senior Vice President and General Manager of Business Line Edge Processing, to see hear the company?s responses to those important questions.

Aetina announced the new AN810-XNX edge AI computer leveraging capabilities of the NVIDIA Jetson Xavier NX. This edge AI computer features alternatives of I/O slot, as well as a range of edge AI systems built on the Jetson platform for robotics, drone, UAV, industrial inspection, medical imaging, and deep learning.

There are many things to consider when moving to embedded Linux? from a real-time operating system (RTOS) for embedded projects. Based on pragmatic experience of helping customers through the decision making process and the actual transition, this white paper provides practical information, so developers can be fully aware of the trade-offs of moving to OSS and the often unmentioned hidden cost of managing a Linux distribution.

Multicore processors are being adopted at an increasing rate in embedded systems, which means that embedded developers have some important design decisions to make. One of the first is how to control and manage the multicore system: through a hypervisor or multicore framework?

Over the past two decades Nuvation Engineering has developed data acquisition systems for a wide range devices and market applications. Based on our experience performing hundreds of engineering design projects, our engineers have identified several key considerations that require special attention during the planning, design, and development of data acquisition systems.

When building an embedded system there are many choices you will face when deciding the correct hardware and software combinations to best get your product to market. Hardware capabilities, performance, power requirements, memory types, OS implications, packaging options, platform scalability and interoperability are just some of the considerations you will have to work through in the early stages.