DFI’s smart transportation product lines are built on the development principle of supporting 5G and AI processing capabilities
DFI announced a comprehensive series of high-reliability embedded solutions designed for smart transportation that requires reliable and high-performance AIoT edge computing.
Being part of the smart city, all demands for infrastructure, autonomous driving, parking management, fleet management, rail monitoring, and technological law enforcement are within the purview of smart transportation.
DFI implemented wide-temperature and wide-voltage designs for acclimating with various environments. DFI launched CS181, an industrial Mini-ITX tailored to infuse AI into intensive edge computing such as licence plate recognition and traffic monitoring. In addition to supporting the MXM module to generate the performance required for deep learning and inference, its Mini-PCIe setup expands for 5G or Wi-Fi modules, allowing response to the dynamics at the edge in real-time.
In terms of product design focus, all of DFI’s smart transportation product lines are built on the development principle of supporting 5G and AI processing capabilities to prepare for the mobile network layout and the significant edge computing load.
In-vehicle systems RC300-CS and VC300-CS are durable computers equipped with MXM modules, which can handle autonomous driving and AI vision requirements. RC300-CS has passed EN50155 and other railway certifications, and it is equipped with multiple M12 PoE output functionality. Both computers support external mounted hard disks, designed in consideration for maintenance. They communicate with the vehicle’s peripheral devices through numerous serial interfaces and meet shock resistance and impact resistance standards.
