At the SPS trade show in Nuremberg, Syslogic will present an AI rugged computer that meets protection class IP67. Thanks to Nvidia’s Jetson-TX2 platform, it supports GPU-accelerated AI applications such as machine vision. The AI rugged computer provides the ideal hardware base for AI edge applications under extreme conditions.
It uses Nvidia’s TX2i SoM from the Jetson series, which forms the core of the AI Rugged Computer and is perfectly suited for AI applications in real time. Specific examples include object or person recognition, autonomous driving, predictive maintenance, optical authentication, and condition monitoring of machines or vehicles.
The electronics and the housing design meet the highest standards in terms of resistance and robustness. This was accomplished through consistent component selection, omission of moving parts, screw-on connectors, and an ultra-rugged housing that is resistant to dust, water and chemicals. A Gore-Tex ventilation module ensures pressure equalization in the housing, thus extending product life and increasing reliability. The AI Rugged Computer is also suitable for the broadened temperature range from –40 to +85 °C at component level. For vehicle use, the computer has an integrated ignition controller and a disturbance-free CAN interface.
Accordingly, the devices are used wherever the requirements for robustness and durability are particularly important, for example, in railway vehicles, construction and agricultural machinery, or in mining vehicles. However, Syslogic is not only targeting vehicle applications, but also markets like Smart City, industrial automation, and traffic engineering.