BetaDash: Real-Time Telemetry Dashboard for ASU FSAE

BetaDash is a modular, real-time telemetry dashboard developed by the Data Acquisition team at Sun Devil Motorsports team. The application is designed to collect, visualize, and analyze vehicle telemetry data both live and post-session.

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Features

• Real-Time Data Streaming via serial interface (supports real and simulated data).
• Dynamic Graphing Interface using pyqtgraph and matplotlib with multi-sensor visualization.
• Math Channel Support for creating and overlaying derived metrics.
• Dashboard Saving to preserve dashboard for future uses
• Analysis tools with playback and annotation capabilities.
• Modular GUI Architecture powered by PyQt5.

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Tech Stack

• GUI Framework: PyQt5, pyqtswitch, qdarkstyle
• Plotting: pyqtgraph, matplotlib
• Data Handling: pandas, numpy, sympy
• Serial Communication: pyserial
• File Storage / Saving: pickle, SQLite

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Installation

1. Clone the Repository

git clone https://github.com/sundevilmotorsports/BetaDash.git
cd BetaDash

2. Set Up Environment

pip install -r requirements.txt

3. Running the Application

python dash_board.py

Photos / Example Uses

1. Receiving Live Data (Fake Data)

2. Reviewing Data Captured Through Telemetry/Logger

3. Creating Math Channels