High-reflection product detection system and method based on artificial intelligence and medium
An artificial intelligence and high-reflection technology, applied in neural learning methods, semantic tool creation, unstructured text data retrieval, etc., can solve problems such as poor flexibility, high false alarm rate, and inability to help the process, so as to reduce labor costs, The effect of improved detection ability
Pending Publication Date: 2021-06-15
绍兴隆芙力智能科技发展有限公司
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Problems solved by technology
[0002] At present, the manufacturing industry mostly adopts traditional quality inspection methods. Traditional quality inspection methods face many challenges, especially the quality inspection of high-reflective products. For example, it requires a lot of manpower to do quality inspection. It is difficult to recruit workers; the quality inspection level is completely dependent on the personal ability and stability of the testing workers, resulting in unstable quality of high-reflective products; traditional quality inspection equipment has low accuracy, high false alarm rate, and poor flexibility; quality inspection data is not recorded and cannot be in-depth Analysis, cannot help process improvement
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[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 some of the embodiments of the present invention, but not all of them. 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] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.
[0025] It should also be understood that the terminology used ...
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The invention discloses a high-reflection product detection system based on artificial intelligence. The system comprises: a digital light module which controls a light source to irradiate a to-be-detected high-reflection product in a digital mode; a visual detection module which is used for collecting an image of a to-be-detected high-reflection product under the irradiation of a light source under the control of a digital mode; an image processing module which is used for preprocessing an image of a to-be-detected high-reflection product to obtain a processed high-reflection product image; an intelligent analysis module is used for establishing a knowledge graph, training a convolutional neural network model by adopting a high-reflection product sample to obtain a trained detection model, inputting the processed to-be-detected high-reflection product image into the trained detection model for detection, obtaining a prediction result, and reversely propagating the prediction result to the convolutional neural network model for data updating; and a result output module which is used for outputting a prediction result. All-around and automatic detailed detection is carried out on the high-reflection product, the detection level of high detection rate and low false alarm rate is achieved, and the labor cost is reduced.
Description
technical field [0001] The invention relates to the technical field of detection of highly reflective products, in particular to an artificial intelligence-based detection system, method and medium for highly reflective products. Background technique [0002] At present, the manufacturing industry mostly adopts traditional quality inspection methods. Traditional quality inspection methods face many challenges, especially the quality inspection of high-reflective products. For example, it requires a lot of manpower to do quality inspection. It is difficult to recruit workers; the quality inspection level is completely dependent on the personal ability and stability of the testing workers, resulting in unstable quality of high-reflective products; traditional quality inspection equipment has low accuracy, high false alarm rate, and poor flexibility; quality inspection data is not recorded and cannot be in-depth Analysis, cannot help process improvement. Contents of the inven...
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Patent Timeline
Login to View More IPC IPC(8): G06T7/00G06N3/04G06N3/08G06N5/02G06F16/36
CPCG06T7/0004G06N3/084G06N5/02G06F16/367G06T2207/10004G06T2207/20081G06T2207/20084G06T2207/30108G06N3/045
Inventor 陈泰翔黄祥麟卢肖永
Owner 绍兴隆芙力智能科技发展有限公司