Product surface defect detection method, electronic equipment and readable storage medium

A defect detection and product technology, applied in neural learning methods, image data processing, image enhancement, etc., can solve problems such as low robustness and technical scalability, long training time, low proportion of defective products, etc., to reduce errors The probability of being judged as a good product and the effect of improving the detection efficiency

A defect detection and product technology, applied in neural learning methods, image data processing, image enhancement, etc., can solve problems such as low robustness and technical scalability, long training time, low proportion of defective products, etc., to reduce errors The probability of being judged as a good product and the effect of improving the detection efficiency

CN110992329AActive Publication Date: 2020-04-10SHANGHAI MICROPORT PROPHECY MEDICAL TECH CO LTD
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  • Product surface defect detection method, electronic equipment and readable storage medium
  • Product surface defect detection method, electronic equipment and readable storage medium
  • Product surface defect detection method, electronic equipment and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] See figure 1 , the steps of the surface defect detection method of the balloon product provided in this embodiment are as follows:

[0053] Step S1: Use an industrial camera to take pictures of the balloon to obtain an image of the balloon to be tested;

[0054] Step S2: Input the image of the balloon to be tested into the trained binary classification neural network model and the defect point location algorithm based on image processing for parallel operation, and the defect point location algorithm uses the first preset area threshold to determine Whether the balloon to be tested is a good product; if both the trained binary classification neural network model and the defect point location algorithm based on image processing are identified as a good product, then it is determined that the balloon to be tested is a good product, otherwise it is determined that the balloon to be tested is a good product. The balloon to be tested is a suspected defective product for re-...

Embodiment 2

[0103] Step S1 and step S2 of this embodiment are all the same as in embodiment 1, the difference is the review step in step S3, please refer to Figure 5 , the review link of this embodiment does not include step S31 and step S41 of embodiment 1, but includes the following step S42:

[0104] Step S42: If the defect point positioning algorithm based on image processing in step S2 determines that the product balloon to be tested is a defective product, then output the position coordinates of the suspected defect point, crop the image of the suspected defect point according to the position coordinates of the suspected defect point, and calculate The area of ​​the cropped suspected defect point image, if the area is smaller than the third preset area threshold, the target is considered to be extremely small, and the product balloon to be tested is determined to be a good product; otherwise, the product balloon to be tested is determined to be a suspected defective product. Step S...

Embodiment 3

[0107] This embodiment provides an electronic device, including a processor and a memory, where a computer program is stored on the memory, and when the computer program is executed by the processor, the detection method of Embodiment 1 or / and Embodiment 2 is implemented.

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Abstract

The invention discloses a product surface defect detection method, electronic equipment and a readable storage medium. The detection method comprises the following steps: S1, acquiring an image of a to-be-detected product; S2, inputting the image of the to-be-tested product into a first processing module and a second processing module for parallel operation, and if the first processing module andthe second processing module both determine that the to-be-detected product is a good product, determining that the to-be-detected product is a good product, or if at least one of the first processingmodule and the second processing module determines that the to-be-detected product is a suspected defective product, entering the step S3; and S3, rechecking the suspected defective product. According to the detection method provided by the invention, the detection efficiency is improved, the probability of misjudging defective products as good products is reduced, and meanwhile, the problems ofdichotomy of defective products and good products under a small data set and accurate positioning of defect points are further solved.

Description

technical field [0001] The invention relates to a product detection method, in particular to a product surface defect detection method, electronic equipment and a readable storage medium. Background technique [0002] Defects on the surface of an object have a direct impact on the quality of the object, and also affect the user experience. Especially for some objects with high precision requirements and special usage scenarios, the presence or absence of surface defects directly determines whether the object can enter the market. For example, dilation balloons, which are mainly used in cardiovascular and cerebrovascular interventional surgery, are common interventional surgical instruments, and their function is to expand narrowed blood vessels or other lumens and stent systems. The quality of the balloon is related to the life safety of the patient. If it breaks during use, it may cause inestimable damage to the patient. With the improvement of intelligent manufacturing ca...

Claims

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Application Information

Patent Timeline
10 Apr 2020
Publication
CN110992329A
IPC
G06T7/00; G06T7/187; G06T7/62; G06N3/04; G06N3/08
CPC
G06T7/0004; G06T7/187; G06T7/62; G06N3/08; G06T2207/20081; G06T2207/20084; G06T2207/20024; G06T2207/20036
Inventors
张武龙; 吕文尔