AI-based magnetic core product defect detection system and method

A product defect detection system technology, applied in the field of artificial intelligence, to achieve the effect of simple transplantation, fast detection speed, and speed improvement

Pending Publication Date: 2020-01-14
浙江华是科技股份有限公司
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Problems solved by technology

[0006] The purpose of the present invention is to propose a universal and efficient algorithm for the complex situation of magnetic core defect detection by traditional graphics methods, and propose an AI-based magnetic core product defect detection system and method

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  • AI-based magnetic core product defect detection system and method
  • AI-based magnetic core product defect detection system and method
  • AI-based magnetic core product defect detection system and method

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Embodiment Construction

[0028] The present invention will be further described in detail below in conjunction with the accompanying drawings, and specific implementation methods will be given.

[0029] Such as figure 1 As shown, the AI-based magnetic core product defect detection method of the present invention adopts a system including a camera image acquisition and preprocessing module, a pre-trained SSD model based on Inception_v3, a comprehensive screening module and a model operation scheduling module. The image acquired by the front-end camera is transmitted to the camera image acquisition and preprocessing module through the network, and the image preprocessed by the camera image acquisition and preprocessing module is performed by the SSD model based on Inception_v3 pre-trained in the model operation scheduling module selection subprocess Detect and identify, and feed back the results to the comprehensive screening module to further screen with the results of cluster analysis performed in adv...

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Abstract

The invention discloses an AI-based magnetic core product defect detection system and method. The system comprises a camera image acquisition and preprocessing module, a pre-trained SSD model based onInception _ v3, a comprehensive screening module and a model operation scheduling module; the camera image acquisition and preprocessing module acquires an image and preprocesses the image for the model operation scheduling module to perform subsequent operation; the pre-training model performs target detection and classification on the image and outputs a candidate box, a classification result and a confidence score; the comprehensive screening module further judges whether the product is qualified or not according to the detection result of the SSD model; and the model operation schedulingmodule allocates each process to synchronously use an SSD model for calculation. The system and method have the characteristics of simplicity in transplantation, high detection speed, wide detectabledefects and high accuracy.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to an AI-based magnetic core product defect detection system and method. Background technique [0002] Object recognition is widely used in current intelligent monitoring equipment, such as relatively mature face recognition and license plate recognition. However, compared to images such as faces and numbers with fixed features, there are multiple problems in the defect recognition of parts, such as the type of defects, the size of defects, the position and shape of parts, and the shooting conditions. In addition, for parts qualification inspection, the operation speed is required to be extremely fast, and the image algorithm of a single GPU is difficult to meet the speed requirements of the pipeline. The multi-GPU image detection algorithm based on artificial intelligence overcomes this problem well. [0003] In recent years, artificial intelligence ha...

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Application Information

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IPC IPC(8): G06T7/00G01N21/88
CPCG06T7/0004G01N21/8851G06T2207/20036G06T2207/20081G06T2207/20084G06T2207/10004G06T2207/30108
Inventor 俞永方叶建标
Owner 浙江华是科技股份有限公司
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