Patent ID: 11947345
Assignee: MEMORENCE AI CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 15:
16. A method for intelligently monitoring a production line, wherein an image capturing device captures an inspected object image, and after at least one inspected object image is obtained, following steps are performed:
(A) analyzing a group of images, wherein an image correlation analysis module circuitry analyzes a group of inspected object images composed of a plurality of the inspected object images, wherein, if the plurality of inspected object images are different, the image correlation analysis module circuitry obtains at least one image difference feature by comparison of the group of the inspected object images, and if the plurality of inspected object images are the same, the image correlation analysis module circuitry transmits the group of the inspected object images to a classifier subsystem circuitry;
(B) analyzing an image feature and making a classification decision, wherein, if the plurality of inspected object images are different, the classifier subsystem circuitry reads a training module circuitry to analyze image difference features and makes a first classification decision, and wherein, if the plurality of inspected object images are the same, the classifier subsystem circuitry reads the training module circuitry to analyze image features of the plurality of inspected object images and makes the first classification decision, and the first classification decision is transmitted by the classifier subsystem circuitry to an operating station host, and if the first classification decision is regarded as abnormal, the first classification decision includes a complete image, and an abnormal image having at least one reinspection label;
(C) automatic screening and labeling, wherein, if the reinspection label is a plurality, the classifier subsystem circuitry screens out a classification decision with lower reliability, which will be transmitted by the classifier subsystem circuitry to the operating station host;
(D) inputting reinspection operation, wherein a labeling module circuitry of the operating station host inputs a first reinspection operation associated with the abnormal image to update the first classification decision, which will be transmitted by the operation station host to the training subsystem circuitry; and
(E) updating the training module circuitry in real time, wherein the training subsystem circuitry updates the training module circuitry and a label database connected to the training module circuitry in real time according to an updated classification decision.