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Glass Identifier AI Agent
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="https://hailp.com/api/main/loadwidget/483/parent/csvbulk"></iframe>
TRY ME, FILL IN THE FIELDS BELOW
Credit: Data from B. German, Central Research Establishment, Home Office Forensic Science Service – Aldermaston, Reading, Berkshire RG7 4PN
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