Kvaser has introduced Kvaser Edge, a Linux-based edge computing system designed to support automotive and industrial teams in collecting, processing and analyzing data. By running analytics directly at the point of data generation – on vehicles, test benches or machines – it reduces dependence on large data logs and PC connections.
“Kvaser Edge delivers intelligence at the point of measurement, enabling faster insights and iteration during testing,” the company said. The system is designed for harsh environments and real-time performance, supporting applications such as real-time and remote diagnostics, predictive maintenance, intelligent filtering, event-based logging and fleet monitoring.
The platform features a compact ARM-based Linux computer with an NXP SE051C2 Secure Element, meeting CRA and RED cybersecurity requirements. Hardware-based security protects collected data and intellectual property, making it suitable for prototyping and large-scale deployments. Integrated GPS support provides optional location awareness for fleet visibility and security.
The platform runs on Kvaser Edge OS (KEOS), a Linux operating system tailored for data acquisition and edge analytics. KEOS supports containerized applications, enabling secure, isolated environments where multiple software versions can run in parallel. This approach allows developers and test engineers to deploy consistent setups across vehicles or test rigs, with processed data routed to cloud or local servers.
“KEOS allows teams to build secure, reproducible workspaces and update applications independently of the base system,” Kvaser added. The system is designed for automotive-grade power conditions and resilience against sudden shutdowns.
Early adopters are using the solution to accelerate development and implement new test workflows. The company is also establishing a developer ecosystem with documentation, SDKs and example projects to help partners deliver specialized tools directly to automotive and industrial teams.
