Syslogic Expands RML A4AGX Capabilities
March 31, 2025
News
Syslogic added four SPE (Single Pair Ethernet) interfaces to its RML A4AGX AI-enabled rugged computer utilizing the NVIDIA Jetson AGX Orin 64GB SoM (System on Module). The RML A4AGX SPE supports four single-pair Ethernet interfaces. Each SPE interface offers its own network interface controller (NIC) and enables real-time communication with cameras and other sensors.Each of the four SPE interfaces in the rugged computer has its own NIC, ensuring seamless real-time data exchange with cameras and sensors.
The RML A4AGX collects data via SPE, processes the information, and transmits results on the same network. Additionally, it integrates with ISOBUS-equipped vehicles and machinery without requiring external adapters. It supports eight GMSL2 camera inputs, facilitating simultaneous processing of multiple high-resolution video feeds, radar, and lidar data. CAN bus connectivity enables integration with vehicle networks, while a PPS input ensures precise sensor synchronization. Two built-in uBlox GNSS receivers provide centimeter-level positioning accuracy, making this AI computer ideal for autonomous and semi-autonomous systems.
It is compliant with EMC standards for agricultural and off-highway applications (ISO 13766, ISO 14892), and its fanless design withstands temperatures from -25 to +70 degrees Celsius and meets IP67/IP69 durability ratings, ensuring shock, vibration, dust, and water resistance for continuous operation.
For more information, visit syslogic.com/jetson-agx-orin.
Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.
He is well versed in many facets of industrial computing including Edge AI, IoT, Processing, Security, Open Source, and more.
Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.
