Скачать или смотреть Defects identification and classification | 83/87 | UPV

Título: Defects identification and classification


Descripción automática: In this video, the topic of defect detection using artificial intelligence in family products is explored. The speaker discusses how certain techniques can identify and categorize defects through image analysis. Images captured by cameras are processed by algorithms and compared to a fifth database that contains a catalogue of potential defects. Following this process, the system is able to classify the defects into categories.

The presenter provides examples, such as knots, which are showcased in various images, illustrating the types of knot defects that the system can recognize. Stains are another category of defects discussed, with the video showing various stain types, including oil stains. A further example given is holes, which commonly occur during the manufacturing process.

The speaker summarizes by mentioning the different types of defects that the AI system can classify. The video concludes with thanks and references for the presentation, suggesting further resources for learning about AI-enabled defect detection.

Autor/a: Domenech Jorge

Curso: Este vídeo es el 83/87 del curso MOOC Advanced technologies for textile quality control. Artificial Vision.    • MOOC Advanced technologies for textile qua...  
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#identification #classification #defect #knot #stain #hole