Method and device for detecting a defect in a steel plate, as well as apparatus and server therefor

A method for detecting a defect in a steel plate, comprising:

• receiving image data of the steel plate and a defect detection request;
• and
• calculating the image data using a detection model according to the defect detection request to obtain and output a detection result,
• wherein the detection result comprises a selected one of a pass result and a defect result, wherein the pass result indicates that the steel plate is qualified, and the defect result indicates at least one defect in the steel plate and comprises a position and a classification of the at least one defect, and
• wherein calculating the image data using a detection model to obtain and output a detection result comprises:
• extracting a steel plate feature from the image data using a deep convolutional neural network;
• and
• obtaining the detection result according to the extracted steel plate feature.

A device for detecting a defect in a steel plate, comprising:

• a data receiving module configured for receiving image data of the steel plate, and generating a defect detection request according to the image data;
• a data sending module configured for monitoring computing loads of a plurality of servers, and sending the image data and the defect detection request to a first server, wherein each of the plurality of servers is provided with a detection model, and the first server has a lowest load in the plurality of servers;
• a result receiving module configured for receiving, from the first server, a detection result obtained by calculating the image data using the detection model;
• and
• an operating module configured for operating according to the detection result,
• wherein the detection result comprises a selected one of a pass result and a defect result, wherein the pass result indicates that the steel plate is qualified, and the defect result indicates at least one defect in the steel plate and comprises a position and a classification of the at least one defect, and
• wherein calculating the image data using the detection model comprises:
• extracting a steel plate feature from the image data using a deep convolutional neural network;
• and
• obtaining the detection result according to the extracted steel plate feature.

A device for detecting a defect in a steel plate, comprising:

• a receiving module configured for receiving image data of the steel plate and a defect detection request;
• and
• a calculating module configured for calculating the image data using a detection model according to the defect detection request to obtain and output a detection result,
• wherein the detection result comprises a selected one of a pass result and a defect result, wherein the pass result indicates that the steel plate is qualified, and the defect result indicates at least one defect in the steel plate and comprises a position and a classification of the at least one defect, and
• wherein the calculating module comprises:
• a feature extracting unit configured for extracting a steel plate feature from the image data using a deep convolutional neural network;
• and
• a determining unit configured to obtain the detection result according to the extracted steel plate feature.