CAN Bus Data Visualization Tool

Project Overview

A real-time CAN bus data visualization tool developed for automotive diagnostic purposes, interfacing with PEAK-CAN hardware to capture and analyze vehicle network traffic.

Key Features

• Real-time CAN message capture and visualization
• Interactive signal plotting and analysis
• Automated diagnostic report generation
• Message logging with SQLite database
• Custom signal decoding capabilities

Technical Implementation

Built using Python with PyQt for the GUI interface, the tool implements a multi-threaded architecture for efficient message processing. The PEAK-CAN API handles hardware communication, while Matplotlib and Pandas provide real-time data visualization capabilities.

Challenges & Solutions

• Challenge: Processing high-speed CAN data without message loss
  Solution: Implemented a dedicated message queue with multi-threading
• Challenge: Real-time visualization performance
  Solution: Optimized plotting routines with data buffering

Results & Impact

The tool has significantly reduced diagnostic time in automotive testing environments, providing clear visualization of CAN network traffic and automated analysis capabilities.