Hyperspectral image classification for quality control in agri-food sector

Deep Learning applied to seed classification

Iris Technology
Computer Vision
deep learning
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Use case

The client, a R&D company with high expertise in hyperspectral imaging, wanted an assessment to build an end-to-end device to automatically estimate defects of food products from a sample, under certain specifications


We provided an initial training on Deep Learning to update client team with the required skills to start exploring solution for their current problem.

The assessment consisted of regular meetings with the client to iteratively build an image classification solution, including different items: computer hardware definition and setup, object segmentation, anomaly detection, and object classification.

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