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HOW IT WORKS
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User takes image of meal with FoodPhone
1.
Multi-spectral image capture
FoodPhone’s three (3) cameras capture multi-format, multi-spectral images including color (RGB), volume and shape (3D), chemical composition and texture (NIR - near infrared)
2.

NIR – chemical composition

3D – volume and shape

RGB – color and texture
User takes image of meal with FoodPhone
FoodPhone’s three (3) cameras capture multi-format, multi-spectral images including color (RGB), volume and shape (3D), chemical composition and texture (NIR - near infrared)
1.

Multi-spectral image capture
2.

3D
volume and shape


NIR – chemical composition
RGB – color and texture
Image data is analyzed by Neural Network-based Artificial Intelligence software for unique spectral signatures and compared to massive USDA & FoodPhone databases to provide food item segmentation. NFLs returned for viewing and archiving.
3.

Cloud-based Neural Network-based AI
Nutritional Food
Labels (NFLs)

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