Some details
The project is still at the “pre MVP stage”. These are the achievements which have been already integrated into one platform so far:
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A scanner for obtaining high-quality photographs has been developed.
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A unit of trade professionals has been formed to assess the quality of fruits and
Data collection for machine learning is ongoing.
Developed software to assess the quality of fruits and vegetables.
The virtual personal Cabinet of the expert-receiver has been developed.
The automated process of forming reports has been developed.
Technologies
The use of advanced developments in the field of image analysis using:
- Convolutional neural networks, industrial applications (RetinaNET, G-NET, MASK-KST)
- Sets of libraries and frameworks, such as Rutogsh + Fast.ai
- Canon cameras used in the scanner
