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Automated grading with Al and traceability / Neil Martin in INTERNATIONAL LEATHER MAKER (ILM), N° 49 (09-10/2021)
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Titre : Automated grading with Al and traceability Type de document : texte imprimé Auteurs : Neil Martin, Personne interviewée Année de publication : 2021 Article en page(s) : p. 20-21 Langues : Anglais (eng) Catégories : Automatisation
Cuirs et peaux
Cuirs et peaux -- Défauts
Détection de défauts (Ingénierie)
Etalonnage
Qualité -- Contrôle
TraçabilitéIndex. décimale : 675 Technologie du cuir et de la fourrure Résumé : Mindhive is a tech company in New Zealand that discovered the power of AI in detecting defects in leather hides seven years ago. Its Model V Grading is flow quickly growing in popularity among tanneries as well as shoe and automotive manufacturers. Industry requests have since led to the company also developing a robust traceability solution that is deployable in tanneries of any size. This enables tanners to achieve a key sustainability goal. But Leathertracer, as the solution is called, has another significant advantage. Mindhive's CEO Neil Martin explains its impact. Note de contenu : - Many tanneries have played with various approaches to achieve traceability. Some use a documented system; others are experimenting with tattooed ID's. What makes Mindhive's Leathertracer unique ?
- What about your other solution, Model V Grading: artificial intelligence to detect defects? How can you guarantee this solution could do as good a job as a 'master grader' with 30+ years' experience ?
- Ok, but artificial intelligence is a very new, expensive technology. How can tanners deploy this as a commercially advantageous business case for their tannery ?
- And what is the benefit of deploying both solutions together ?
- What were the responses and uptake of these solutions to date ?En ligne : https://drive.google.com/file/d/1JE0HkhbbJuzklQWupDzzCR_c9Dc787RA/view?usp=drive [...] Format de la ressource électronique : Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=36189
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