METHOD AND APPARATUS FOR PRODUCT QUALITY INSPECTION

摘要

A method (200), apparatus (300) for product quality inspection are proposed, to find number of unknown fabrication parameters affecting product quality. A method (200) for product quality inspection includes: getting (S201) of each product in the group of products: image (30), value for each known fabrication parameter affecting quality of the group of products, and quality evaluation result (50); training (S202) a neural network (40), wherein the layer M (401) of the neural network comprises at least one first neuron (401a) and at least one second neuron (401b), and each first neuron (401a) represents a known fabrication parameter affecting quality of the group of products and each second neuron (401b) represents an unknown fabrication parameter affecting quality of the group of products, and the images (30) of the group of products are input to the neural network (40), the quality evaluation results (50) are output of the neural network (40), and the value of each first neuron (401a) is set to the value for the known fabrication parameter the first neuron (401a) representing.