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Python / Hardware Integration

Blackfly Camera Control System

A Python application for controlling a FLIR Blackfly camera, including detection, live preview planning, configurable settings, error reporting, and video capture integration.

Role
Developer
Timeline
Project dates to add
Project type
Software / Hardware Integration

Problem / objective

Create a reliable, maintainable interface for finding and controlling a FLIR Blackfly camera while making failures clear to the operator.

Design process

  • Organized camera operations into a dedicated control class.
  • Added camera discovery and readable failure reporting.
  • Planned a full-screen live preview and recording controls around the camera workflow.

Technical decisions

  • Separated camera behavior from interface logic so the project can be maintained after transfer.
  • Used PySpin and the Spinnaker SDK to communicate with the camera hardware.

Testing & validation

Hardware validation notes and supported camera settings — add when available.

Results

Current project status, screenshots, and recording results — add when available.

Challenges

Handling camera connection failures without leaving the operator guessing.

What I learned

How thoughtful program structure supports both hardware reliability and long-term maintainability.

Project gallery

Add approved project photos or diagrams in src/data/portfolio.ts.
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