MÖLNDAL, Sweden — February 26, 2026 : Kvaser has announced the global release of Kvaser Edge, a Linux-based edge computing platform designed for automotive and industrial data logging applications. The system is engineered to process, filter, and store data directly at the source — on vehicles, test benches, and industrial machines — reducing reliance on continuous PC connections and large-scale raw data transfers.
Headquartered in Mölndal, Sweden, Kvaser brings more than 30 years of experience in Controller Area Network (CAN) and Local Interconnect Network (LIN) technologies. The company supplies machine-to-machine (M2M) communication solutions across automotive, aerospace, agriculture, industrial automation, marine, defense, medical, mining, bus and truck, and rail sectors.
Edge Processing Designed for Modern Data Demands
Kvaser Edge is built to address increasing data volumes generated during vehicle development, validation testing, and industrial machine monitoring. Traditional data logging workflows typically capture complete CAN traffic streams, producing extensive raw datasets that require post-processing on external computers.
The new platform shifts analytics to the edge. It performs real-time filtering, data aggregation, anomaly detection, and event-based logging directly on the device. Instead of storing continuous full-stream data, the system records predefined relevant events, reducing storage requirements and network bandwidth usage. Processed data can be transmitted to cloud or local servers for further analysis when required.
Primary application areas include real-time and remote diagnostics, predictive maintenance, intelligent event-based logging, fleet monitoring, off-highway telematics, and iterative test and development workflows. The device supports remote monitoring, troubleshooting, and secure remote access across distributed vehicle fleets or testing environments.
Hardware Architecture and Environmental Design
Kvaser Edge is a compact, rugged ARM-based Linux computer engineered for harsh operational environments. The unit carries an IP67 rating, providing resistance against dust and water ingress, and is designed to withstand extreme temperature variations typical in automotive and industrial settings.
The platform includes:
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256 GB eMMC internal storage
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Four galvanically isolated CAN/CAN FD channels implemented in FPGA
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Wi-Fi 6 connectivity
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Gigabit Ethernet
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USB ports supporting external storage, audio, and video peripherals
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Integrated 6-axis inertial measurement unit (IMU)
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GPS/GNSS support (external antenna required and sold separately)
The device is rated for automotive-grade power conditions and is built to tolerate sudden voltage drops, engine cranking fluctuations, and abrupt shutdown scenarios. Both hardware and operating system components are designed to prevent data corruption during unexpected power loss.
Hardware-Based Security and Regulatory Compliance
Security is integrated at the hardware level through the inclusion of an NXP SE051C2 Secure Element. This dedicated cryptographic component provides a hardware root of trust, isolates credentials, and protects proprietary software, test algorithms, and collected data stored on the device.
The hardware-based security architecture supports compliance with current European cybersecurity regulations, including the Cyber Resilience Act (CRA) and the Radio Equipment Directive (RED). The platform is therefore positioned for deployment in both early-stage prototyping environments and large-scale commercial applications where cybersecurity certification is required.
Location-based security tracking is enabled through integrated GPS functionality, supporting fleet visibility and asset management use cases.
Kvaser Edge OS and Containerized Workflows
Kvaser Edge operates on Kvaser Edge OS (KEOS), a dedicated Linux-based operating system optimized specifically for data acquisition and edge analytics.
KEOS supports containerized applications using Linux Containers (LXC). This architecture allows developers and test engineers to create isolated runtime environments layered on top of the base operating system. Within these containers, users can deploy preferred Linux distributions and specialized testing tools.
Containerization enables multiple software versions to operate concurrently on the same device and allows application updates without modifying the underlying operating system. If a containerized application encounters an error, the issue remains isolated from the base system and other containers. This approach supports reproducible testing conditions across different vehicles and test rigs while avoiding software dependency conflicts.
Industry Positioning and Ecosystem Integration
The release of Kvaser Edge places the company within a competitive landscape of automotive edge computing and data logging providers. Companies such as Intrepid Control Systems offer solutions including the neoVI FIRE 3 COMPUTE platform for edge AI and Python-based CAN logging, while other vendors provide Raspberry Pi-based Docker-enabled telemetry systems.
Kvaser Edge differentiates itself through its full open Linux environment combined with hardware-rooted security and deep integration with CAN and LIN communication systems. The company’s long-standing specialization in CAN technology supports precise, microsecond-level network timing requirements that are critical in automotive and industrial control environments.
To facilitate system integration, Kvaser has launched a developer ecosystem that includes software development kits (SDKs), technical documentation, and example projects. Early adopters include software partner Alkit, which integrates Kvaser Edge into testing systems such as WICE for in-vehicle data collection workflows.
Availability
Kvaser Edge will be available for global distribution beginning in February 2026. Technical specifications, setup instructions, and developer resources are accessible through the Kvaser Edge Platform website and the company’s KEOS web-help portal.
The platform represents Kvaser’s expansion from traditional CAN interface hardware into secure, containerized edge computing systems designed for modern vehicle and machine data processing requirements.
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