Embedded

Seco Introduces SMARC Module for Industrial Edge AI Seco has announced the SOM-SMARC-Dragonwing-IQ8, a SMARC Rel. 2.1.1 system-on-module (SOM) designed to help OEMs transition from Arduino-based prototyping to production-oriented industrial edge AI systems. Early hardware samples are available to select customers and partners for evaluation of AI-enabled robotics, smart machines, industrial vision, human-machine interfaces (HMIs), and machine-control applications.

Engineering Embedded Systems for Aerospace and Defense For years, electronics for military and aerospace applications have been built around hardware that could tolerate harsh environments far beyond those encountered by commercial and industrial machinery. Such systems include satellites, planetary rovers, combat vehicles, naval platforms, avionics, and electronic warfare equipment.

RAIN Alliance Launches RFID Sensor Working Group The RAIN Alliance has established a new RFID Sensor Working Group to support the development and adoption of sensor-enabled RAIN RFID technologies. The group will bring together technology providers, end users, and industry stakeholders to address emerging applications, deployment challenges, and standards requirements across industrial IoT, asset management, and digital product passport (DPP) use cases.

Altera Expands Agilex 9 Direct RF FPGA Ecosystem for Defense Altera Corp. has recently expanded its Agilex 9 Direct RF FPGA ecosystem through collaborations with Mercury Systems and VadaTech, introducing commercial off-the-shelf (COTS) solutions for next-generation defense platforms.

Nvidia Unveils Jetson Orin Nano 2 for Robotics and Edge AI Nvidia claims to redefine entry-level edge AI with the launch of the Jetson Orin Nano 2 robotics computer, making frontier-class AI models available to millions of developers. Advancing generative AI at the edge, the new AI supercomputer targets applications such as robots, delivery and inspection drones, and vision AI systems that need small, energy-efficient robotics computers for edge AI.

Why Sensor Fusion Matters for Drone Navigation and Detection A variety of sensors are used on drones for spatial awareness, terrain and target mapping, obstacle navigation, and optimizing flight paths to the target. Anti-drone defense systems similarly rely on many sensors for detection, flight-path tracking, and drone classification. Each sensor has its strengths and weaknesses.

Viavi Vertex 6.0 Targets 6G and Wi-Fi 7/8 RF Testing Viavi Solutions has introduced Vertex 6.0, an enhanced version of its channel emulation platform designed to reproduce real-world RF propagation conditions in laboratory environments. The new platform targets next-generation cellular, Wi-Fi, military, and aerospace technologies and is well-positioned to test emerging 6G and Wi-Fi 7/8 systems.

Completing the Audit Trail: Why Embedded Teams Need Runtime Observability Reproducible builds have become a cornerstone of modern embedded development. They provide confidence that a specific source-code baseline and toolchain produce a known firmware artifact, creating a traceable path from source code to deployed software. For many organizations, this forms an essential part of the engineering audit trail.

Mikroe Releases RTLS UWB Click Board Mikroe has launched its latest Click board addition, the real-time location system (RTLS) ultra-wideband (UWB) add-on board for high-precision real-time location, distance measurement, and motion-aware tracking. The new board is suited for applications such as asset tracking, indoor positioning, personnel and equipment localization, smart logistics, and industrial monitoring.

Advanced RF Systems, Agilex FPGAs, a Neuromorphic Chip for AI Optical Inspection: Embedded Week Insights Here’s a roundup of this week’s must-read articles. We’ll cover the latest developments on advanced RF systems for mil-aero communications, Agilex FPGAs, and a neuromorphic chip for AI optical inspection. The fanless systems combine Nvidia Jetson Orin, four GMSL2 camera inputs, and rugged connectivity for real-time AI vision at the edge.