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HorologAI

AI diagnostics for mechanical watch movements using timegrapher data and imagery

Manufacturing
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HorologAI

AI diagnostics for mechanical watch movements using timegrapher data and imagery

HorologAI analyzes timegrapher traces to diagnose beat error, amplitude loss, and positional variance in mechanical watch movements. Uses macro imagery to identify worn pivots, damaged jewels, and magnetization.

Key Features

  • Timegrapher trace auto-analysis
  • Beat error source identification
  • Pivot wear detection from imagery
  • Demagnetization verification
#watchmaking#horology#mechanical-watch#diagnostics

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Manufacturing
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