{"id":3969,"date":"2024-10-23T16:10:32","date_gmt":"2024-10-23T14:10:32","guid":{"rendered":"https:\/\/cim-atlantique.com\/?page_id=3969"},"modified":"2024-10-23T16:10:32","modified_gmt":"2024-10-23T14:10:32","slug":"systeme-de-detection-de-defauts-sur-des-planches-de-bois","status":"publish","type":"page","link":"https:\/\/www.cim-atlantique.com\/fr\/systeme-de-detection-de-defauts-sur-des-planches-de-bois\/","title":{"rendered":"Syst\u00e8me de d\u00e9tection de d\u00e9fauts sur des planches de bois"},"content":{"rendered":"

Vision industrielle en deep learning pour la menuiserie<\/span><\/b><\/p>\n<\/div>

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Deep capture, logiciel de vision industrielle en deep learning<\/b> permet l\u2019identification de la qualit\u00e9 de planches de bois en sortie raboteuse.<\/p>\n<\/div>

Exemple des classes de d\u00e9fauts d\u00e9tect\u00e9s<\/b><\/p>\n<\/div>

Noeuds noirs<\/span><\/a><\/div><\/div><\/div>
fissures<\/span><\/a><\/div><\/div><\/div>
manque de mati\u00e8res<\/span><\/a><\/div><\/div><\/div><\/div>

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Comme dans d\u2019autres applications de la vision industrielle<\/b>, les d\u00e9fauts sont sujets \u00e0 interpr\u00e9tation. Notre syst\u00e8me en deep learning permet de diff\u00e9rencier les r\u00e9sultats en fonction de la localisation des d\u00e9fauts sur la planche (d\u00e9fauts acceptables en bords de planches).<\/p>\n

L\u2019acquisition fonctionne en temps r\u00e9el \u00e0 une cadence de d\u00e9filement de 30cm\/sec<\/b>.<\/p>\n<\/div>

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