Nuova ricerca

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