Recognition of Industrial Spare Parts Using an Optimized Convolutional Neural Network Model

Recognition of Industrial Spare Parts Using an Optimized Convolutional Neural Network Model

Spare parts search and retrieval processes are of paramount importance in manufacturing and supply chains. Image recognition using 2D and 3D image properties plays an important part in the success of such processes, as it facilitates the identification of the types and components associated with spa...

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Bibliographic Details
Main Authors: Chandralekha Mohan, Takfarinas Saber, Priyadharshini Jayadurga Nallathambi
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Information
Subjects:
deep learning
convolutional neural network
industrial spare parts
stacked convolutional layer
accuracy and loss
confusion matrix
Online Access:https://www.mdpi.com/2078-2489/15/12/793
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