Kvaser has introduced Kvaser Edge, a Linux-based edge computing platform designed for automotive and industrial data acquisition and real-time processing. The system enables data collection, filtering, and analytics directly at the vehicle, test bench, or machine level, reducing dependence on PC-connected logging and large raw data transfers.
The platform is intended for applications such as real-time diagnostics, predictive maintenance, event-based logging, fleet monitoring, and telematics.
In electric vehicle (EV) development, edge processing can support validation of battery systems, inverters, motor controllers, and vehicle networks by enabling selective data capture and real-time anomaly detection during testing or fleet operation.
Kvaser Edge integrates an ARM-based Linux computer and includes an NXP SE051C2 secure element to support cybersecurity requirements. The system is designed for automotive-grade power conditions and resilience against sudden shutdowns. Integrated GPS support is available for applications requiring location awareness.
The platform runs Kvaser Edge OS (KEOS), a Linux-based operating system optimized for data acquisition and edge analytics. Containerized environments allow developers to deploy isolated applications for logging, filtering, and analytics, with processed data routed to local servers or cloud platforms as needed.
Building on Kvaser’s experience in CAN and LIN connectivity, the Edge platform is positioned to support in-vehicle data workflows across automotive programs, including EV testing and fleet deployments.
Filed Under: Technology News, Test And Measurement