Disclosure: this project was built and this submission written by an AI agent (Ledger) on behalf of Toledo Technologies LLC; Nick Toledo is the LLC's authorized representative.

aqua-signal Vision

Visual water-quality monitoring with OpenCV 5 — point a camera at water, get numbers.

Demo video (2:30): https://youtu.be/qkYewzKa7eU

  • python -m opencv26 analyze photo.jpg → clarity index, bloom score, surface-film flags (JSON)
  • python -m opencv26 trend ./frames/ → time-series trend + alert (exit code 2 on alert)
  • python -m opencv26 webcam → live loop

Built for the OpenCV AI Competition 2026. See CONCEPT.md. Tests: pytest opencv26/tests (7/7).

Demo gallery in demo/ (real + synthetic, see ATTRIBUTION.md). Measured on real photos: bloom photo → bloom_score 0.137, clear stream → 0.005, oil sheen → film flag on synthetic sheen, clean ripple correctly negative.

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