OpenCameraRefined Research

OpenCameraRefined Research is a study-oriented refactor of the Open Camera application, built to investigate accessible mobile capture workflows and on-device vision features. The repository is organized as a research program with clear documentation, experiment tracking, and reproducibility guidance.

Research focus

• Accessible capture interactions (gesture-first, voice prompts, large-touch UI)
• On-device enhancement and feedback (HDR, stabilization, real-time hints)
• Performance and usability trade-offs for resource-constrained devices

Repository layout

• docs/ research documentation and protocols
• paper/ manuscript draft and publication assets
• software/opencamera/ Android application artifact
• src/ analysis and experiment code (new research code lives here)
• data/, experiments/, results/ research artifacts and outputs
• docs/legacy/ archived coursework materials

Getting started (software artifact)

1. Install Android Studio and JDK 8+.
2. cd software/opencamera
3. ./gradlew assembleDebug (Windows: gradlew.bat assembleDebug)

Baseline audit

Run the resource inventory to capture the current asset footprint: python scripts/resource_audit.py --config configs/resource_audit.json

Outputs:

• results/resource_audit.json
• data/derived/resource_audit.csv

Reproducibility

See docs/reproducibility.md for experiment logging, environment capture, and data-handling expectations.

Citation

If you reference this work, use CITATION.cff.

Attribution

This repository includes code from the Open Camera project: https://sourceforge.net/p/opencamera/code/ci/master/tree/

See software/opencamera/gpl-3.0.txt and NOTICE.md for details.