Webinar: CAN Bus Data Logging - Setup, Decode, and Analyze Your Data Efficiently

by Grid Connect Team

CAN Bus Data Logging - Setup, Decode, and Analyze Your Data Efficiently ondemand webinar

Practical Applications, Setup Examples, and Tools Engineers Can Actually Use

If you or your team is responsible for validating or troubleshooting embedded systems with CAN (Controller Area Network) data, you won't want to miss this on-demand webinar. Martin Falch, co-owner of CSS Electronics, walks through the full lifecycle of CAN bus data logging - from physical connection and signal decoding to edge data collection, wireless offloading, and analysis using open-source tools such as Python, Grafana, and MATLAB.

Through real-world examples from Volkswagen, Bosch, and others, you’ll see how OEMs and industrial teams use the CANedge1 and CANedge2 data logging tools to reliably collect CAN data in the field, sync it with sensor modules, and analyze it in a format that actually supports engineering workflows. You’ll also learn how to avoid common setup pitfalls, manage file integrity, and get the most out of DBC (Database CAN) files, even when working without full protocol access.

This detailed walkthrough, designed by engineers, for engineers, is ideal for professionals working with CAN-based control systems, diagnostics, or test automation.

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What You'll Learn

How to choose the right connector and CAN pinout for your system
What DBC files do and how to decode raw CAN frames into usable data
Differences between CANedge1 and CANedge2, including SD vs. Wi-Fi logging
How to configure triggers, filters, compression, and encryption
Use cases from OEM deployments: fleet diagnostics, warranty tracking, R&D validation
Workflow integrations: pushing data to AWS, Azure, self-hosted S3, or Python dashboards
How to avoid data loss, manage multi-bus environments, and automate processing
Common setup mistakes (and how to avoid them)

Who Should Watch

This webinar is ideal for:

Engineering managers or hardware engineers working with CAN, LIN, or diagnostics systems
Teams building or maintaining embedded systems in vehicles, machinery, or automation
Validation or test engineers responsible for long-term CAN data collection
Technical buyers evaluating CAN logging solutions for fleet-scale or lab deployments
Developers using Python, MATLAB, or ASAM MDF tools to extract signal data
OEMs and Tier 1 suppliers needing field-proven, flexible, non-proprietary loggers