Spinning pot detection method and system based on visual detection
Through visual detection methods, the spinning cooker is image processing and topological characteristics analysis is solved, and the problem of incomplete detection of spinning cooker in the prior art is achieved, and efficient and accurate automated detection and defect marking are achieved.
CN120374529APending Publication Date: 2025-07-25ZHEJIANG BAHE KITCHENWARE CO LTD
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Patent Information
- Application Number
- CN202510437381.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-09
- Publication Date
- 2025-07-25
AI Technical Summary
Technical Problem
In the prior art, the detection of spinning cookers mainly relies on manual naked eye recognition, and cannot effectively detect defects such as material and safety performance, resulting in insufficient comprehensive and accurate detection.
Method used
Using a visual detection method, through frame-by-frame stitching and denoising processing, combined with image content recognition model and topological feature analysis, automatic detection of the appearance and material defects of the spinning cooker is achieved.
Benefits of technology
It improves the accuracy and efficiency of detection, can quickly judge the qualified stability of the spinning cooker, and accurately mark the defects, making it easier to repair later.
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Smart Images
Figure CN120374529A_ABST
Abstract
The invention relates to the technical field of cookware detection, and discloses a spinning cookware detection method and system based on visual detection. The spinning cookware detection method is applied to visual detection equipment and specifically comprises the following steps that S101, a detection request input by a previous program terminal is received, and the detection request comprises a serial number code of a spinning cookware, production process information of the spinning cookware and execution operation state data of the visual detection equipment; s102, acquiring a preprocessed image of the spinning pot in the to-be-detected area in real time; according to the invention, the preliminary pre-processed image is formed by splicing the images frame by frame, and then the preliminary pre-processed image is sent to the first image processing end for removing the frame shadow noise and eliminating the shadow formed by splicing the images frame by frame to form the final pre-processed image, so that the formed pre-processed image is accurate; according to the method, the qualification stability can be quickly judged through comparison with a preset model and topological characteristics, manual detection is replaced, the recognition accuracy is high, and the detection efficiency is improved.
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