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Perfect Silk

Acronimo Perfect

Abstract The aim of this feasibility study is to investigate the possibility to automate and improve the efficiency of the quality control process by using high-resolution digital imagery to train a deep learning system for the identification and classification of quality-related issues, reducing the need for a human in the loop.

Enti SUPSI coinvolti Istituto sistemi informativi e networking

Persone coinvolte Diego Frei

Responsabili Achille Peternier

Data di inizio progetto 1 settembre 2019

Data di chiusura progetto 31 dicembre 2019

 
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