rexpository/CNN-ChemicalIdentifier

Chemical Identification from images using a CNN

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/ 100
Emerging

This project helps emergency responders quickly and accurately identify unknown chemical substances during mass casualty incidents. By analyzing images of chemicals, it can determine the specific substance, which then enables healthcare providers to give the most effective care. The intended users are emergency medical personnel and first responders.

No commits in the last 6 months.

Use this if you need a rapid, image-based chemical identification tool that is more resilient to human input errors than traditional property-based systems.

Not ideal if you need to identify chemicals based on observed symptoms or properties without visual input, or if you require identification for a very broad range of substances beyond visually similar white powders.

emergency-response chemical-identification mass-casualty-incidents hazardous-materials patient-care
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 11 / 25

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Stars

12

Forks

2

Language

Java

License

MIT

Last pushed

Sep 14, 2022

Commits (30d)

0

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