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Glass Identifier AI Agent

$110.00 / month
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The glass identifier bot helps to investigate broken glass sources – for example, for criminology purposes – by analysing the glass refractive index and the composition. The bot has been trained with 214 samples from [1] and was cross-validated by using the same dataset.

The following features are required when using the bot:

  • Refractive index
  • Sodium (weight percent in corresponding oxide)
  • Magnesium
  • Aluminum
  • Silicon
  • Potassium
  • Calcium
  • Barium
  • Iron

The glass will be classified as one of the following labels:

  • [building_windows1]: Building windows float processed
  • [building_windows2]: building windows non float processed
  • [containers]
  • [vehicle_windows]
  • [tableware]
  • [headlamps]

Copy and paste the code to embed this bot on your site:

<iframe style="max-width: 100% !important; border: none; height:180px" width="560" src=""></iframe>


Credit: Data from B. German, Central Research Establishment, Home Office Forensic Science Service – Aldermaston, Reading, Berkshire RG7 4PN


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