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Instant noodle black spot defect analysis method based on image processing

An analysis method and image processing technology, applied in image analysis, image data processing, image enhancement and other directions, can solve the problems of slow quality inspection efficiency, lack of consistency and reliability, slow identification of defects, etc., to achieve consistency and reliability High performance, fast real-time recognition performance, and labor cost savings

Inactive Publication Date: 2021-09-24
苏州北境人工智能科技有限公司
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Problems solved by technology

[0002] During the production process of instant noodles, it is necessary to detect the black spot defects of instant noodles. The traditional detection method requires a lot of manpower, the speed of identifying defects is slow, and the speed of the conveyor belt is too fast for human eyes to respond, resulting in slow quality inspection efficiency, fatigue, lack of Consistency and reliability are likely to cause disputes among downstream channel merchants. For this reason, we propose an image processing-based black spot analysis method for instant noodles

Method used

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  • Instant noodle black spot defect analysis method based on image processing
  • Instant noodle black spot defect analysis method based on image processing
  • Instant noodle black spot defect analysis method based on image processing

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Embodiment Construction

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0024] see figure 1 , the present invention provides a technical solution: a method for analyzing black spots on instant noodles based on image processing, the method comprising the following steps:

[0025] Step 1: Adjust the position of the light source and camera according to the production environment before production, adjust the threshold parameters according to this method, and then start automatic detection, without manual participation in the producti...

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Abstract

The invention discloses an instant noodle black spot defect analysis method based on image processing in the technical field of instant noodle defect detection in intelligent detection, and the method comprises the following steps: 1, before production, adjusting the position of a light source and the position of a camera according to a production environment, and debugging threshold parameters according to the method, so as to start automatic detection. According to the method, the defects of the instant noodles are reflected more clearly through a lighting scheme of backlight and strip light, enough image samples are obtained, the purpose of real-time detection is achieved based on image processing and through parameters such as shallow layer features, threshold setting, preprocessing and color difference, only simple debugging personnel are needed, and a large amount of labor cost is saved. The real-time identification performance is extremely fast, the millisecond level is achieved, the machine only needs to be powered, consistency and reliability are extremely high, quality inspection results are good, and disputes of quality problems are reduced.

Description

technical field [0001] The invention relates to the technical field of instant noodle flaw detection in intelligent detection, in particular to an image processing-based black spot flaw analysis method for instant noodles. Background technique [0002] During the production process of instant noodles, it is necessary to detect the black spot defects of instant noodles. The traditional detection method requires a lot of manpower, the speed of identifying defects is slow, and the speed of the conveyor belt is too fast for human eyes to respond, resulting in slow quality inspection efficiency, fatigue, lack of Consistency and reliability are likely to cause disputes among downstream channel merchants. For this reason, we propose an image processing-based black spot analysis method for instant noodles. Contents of the invention [0003] The object of the present invention is to provide a method for analyzing black spots on instant noodles based on image processing, so as to so...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/62G06T7/90G06T5/00G06K9/62
CPCG06T7/0004G06T7/62G06T7/90G06T2207/10024G06T2207/30128G06F18/241G06T5/70
Inventor 刘湘曹东进
Owner 苏州北境人工智能科技有限公司