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A defect identification and inductance technology, which is applied in the field of visual recognition of inductance surface defects, can solve the problems of poor inductance detection accuracy and achieve the effects of reducing resource waste, high detection accuracy, and easy implementation
Active Publication Date: 2022-02-01
昆山市泽荀自动化科技有限公司
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Problems solved by technology
[0006] The purpose of the present invention is to solve the deficiencies of the above-mentioned prior art, aim at the problem of poor detection accuracy of traditional inductance, and propose an inductance defect identification method
Method used
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Embodiment 1
[0050] Carry out intelligent identification based on all the collected data of the key inspection surface, and classify and sort the defects of the detected inductors.
[0051] That is, all the individual data are intelligently identified, and the single data can be distinguished from qualified and unqualified according to the single data detection at most, and the screening is very delicate.
[0052] Under normal circumstances, good and bad products are screened according to the classification of attributes, which can be divided into single-item defect categories for each attribute category, unqualified categories for at least two types of defects, and good products for all individual items. kind.
[0053] Since there are many detection items, you can choose to deploy them more arbitrarily, and perform more detailed classification and screening.
Embodiment 2
[0055] Carry out intelligent identification according to the data collection sequence of the key detection surface, and classify and sort the good and bad products of the detected inductance.
[0056] That is, there is no need to intelligently identify all the collected data, and intelligent identification is carried out according to the sequence of the collected data. When there are identification defects in the previously collected data, it is directly judged as defective products and eliminated. This can greatly improve the screening speed and ensure the screening at the same time quality.
[0057] In general, the more data collected, the greater the range of intelligent identification of single data released.
[0058] Specifically, when the detection data is less, the tolerance range of individual data will be smaller. For example, when only the crack area data is detected, it may be considered as a defective product if it is controlled at 10 units. In this case, it can be...
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Abstract
The invention discloses an inductance defect identification method, which collects the size attribute of the inspection surface, the outer edge damage attribute, the rust surface attribute, the crack attribute, the concave-convex attribute, and the exposed copper attribute of the key inspection surface through all the inspection positions, and the rest except the rust surface attribute There are multiple collections of data for a single attribute, and intelligent identification is carried out based on all the collection data of the key detection surface, and the defect classification and sorting of the detection inductor is carried out, or intelligent identification is carried out according to the order of the collection data of the key detection surface, and the good and bad products of the detection inductor are carried out. Classification and sorting of good products. The invention collects comprehensive data on the key detection surface of the inductance, the collected data is relatively comprehensive, and the detection precision is high. It can achieve more detailed screening and sorting, and can screen out inductors that are easy to reprocess, reducing the waste of resources. It has detailed screening classification mode and high-speed screening mode to meet different needs. It can also realize the detection of special requirements for special inductance. The overall technical scheme is reliable, easy to realize and implement.
Description
technical field [0001] The invention relates to a method for identifying surface defects of inductance, in particular to a method for identifying surface defects of inductance based on visual recognition, and belongs to the technical field of visual recognition of surface defects of inductance. Background technique [0002] Inductor is a component that can convert electrical energy into magnetic energy and store it. Inductors are similar in construction to transformers, but with only one winding. Inductors have a certain inductance, which only resists changes in current. If the inductor is in a state where there is no current flowing, it will try to block the current flow through it when the circuit is on; if the inductor is in a state where current is passing, it will try to maintain the current when the circuit is off. Inductors are also called chokes, reactors, and dynamic reactors. [0003] Inductors are generally composed of skeletons, windings, shields, packaging ma...
Claims
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Application Information
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