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CAN-DAQ: An open-source, cost-effective data capture device and software for automotive research.

Anuj Verma¹, Chandram Millon Dutta¹, Aritra Ghosh¹

¹Vellore Institute of Technology, Tiruvalam Rd, Katpadi, Vellore, Tamil Nadu 632014, India.

|February 16, 2026

Summary

This summary is machine-generated.

Researchers can now capture and analyze Controller Area Network (CAN) bus data affordably with CAN-DAQ. This open-source hardware-software platform offers real-time visualization and data analysis for automotive and industrial systems.

Keywords:

Automotive CAN database (DBC)Controller Area Network (CAN)Data acquisition (DAQ)Database management Real-time graphing

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Area of Science:

Automotive Engineering
Embedded Systems
Data Acquisition

Background:

Modern vehicles and industrial systems generate extensive Controller Area Network (CAN) bus data.
Existing tools for CAN data capture and analysis are often expensive commercial products or immature open-source alternatives.
Access to affordable, open-source tools is crucial for validating subsystems, developing ECUs, and performing network security analysis.

Purpose of the Study:

To present CAN-DAQ, an integrated hardware-software platform addressing the need for affordable, open-source CAN data acquisition and analysis.
To provide a cost-effective alternative to commercial systems with comparable core features.
To enable researchers and developers to build custom real-time data analytics applications.

Main Methods:

Development of an ESP32-based hardware interface for CAN bus communication.
Creation of a flexible Python-based software with an SDK for data analysis and visualization.
Implementation of a robust SQL backend for data storage.
Support for classic CAN baud rates (25 kbps to 1 Mbps) and a maximum sampling frequency of 1 kHz.

Main Results:

CAN-DAQ reliably captures 1000 CAN frames per second.
The platform provides high-resolution real-time visualization of CAN data.
Validation testing confirmed reliable data reception, transmission, and sampling capabilities comparable to commercial interfaces.
Demonstrated a cost-effective solution for accessing and analyzing CAN bus data.

Conclusions:

CAN-DAQ successfully bridges the gap in affordable, open-source CAN data acquisition.
The platform empowers users with a foundation for custom real-time data analytics.
It offers a viable, cost-efficient solution for automotive and industrial research and development.