Boosting Defect Detection in Manufacturing using Tensor Convolutional Neural Networks

arXiv:2401.01373v2 Announce Type: replace-cross
Abstract: Defect detection is one of the most important yet challenging tasks in the quality control stage in the manufacturing sector. In this work, we introduce a Tensor Convolutional Neural Network (T-CNN) and examine its performance on a real defect detection application in one of the components of the ultrasonic sensors produced at Robert Bosch's manufacturing plants. Our quantum-inspired T-CNN operates on a reduced model parameter space to substantially improve the training speed and performance of …

abstract application arxiv boosting cnn control convolutional convolutional neural network convolutional neural networks cs.ai cs.cv cs.lg defect detection detection manufacturing network networks neural network neural networks performance quality quant-ph sector stage tasks tensor type work