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G H Giri
Kazhakkoottam, Kerala
OjO
A handheld spectroscopy device that enables a user to detect the freshness of fruits and vegetables and identify any possible contaminants. ...learn more
Project status: Concept
Internet of Things, Artificial Intelligence
Groups
Internet of Things,
DeepLearning
Intel Technologies
AI DevCloud / Xeon,
Intel Python,
Intel NUC8 VR Machine
Overview / Usage
Aim of this project is to develop a handheld device, possible one that fits onto the back of a phone, which will then enable to user to detect the freshness of fruits and vegetables that they are buying from a grocery store or taken out of a refrigerator at home.
A bigger, more accurate version can be built as a wall mounted device at a kitchen and the user will be able to scan food items for their freshness before using it - > Adding a much needed meaning to the term Smart kitchen.
Methodology / Approach
Based on published research papers and previous products, we intend to figure out the best parameters that has a direct relation to freshness of fruits and vegetables and possible contamination that might have occurred.
We are focused on finding a generalized method for detection so that we can accurately predict a good variety of fruits and vegetables in a category with a model that is trained only on a subset of the category.
Technologies Used
Intel Python, Sklearn/Tensorflow, Edge Computing using Intel NUC, Spectroscopy.
Collaborators