Steel bar counting method and device based on deep learning
A technology of deep learning and counting method, which is applied in the field of image processing, can solve problems such as error prone, high mechanical cost and maintenance cost, and large power consumption, and achieve high accuracy, improve the ability to recognize circles, and low input cost Effect
Active Publication Date: 2020-01-17
WUYI UNIV
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[0002]In industrial production, steel bars will be bundled into a bundle, and the steel bars contained in the bundle need to be counted. Through manual counting, due to mental fatigue or eye fatigue of workers, It is easy to produce errors; in addition, the automatic counting system of steel bars can also be used through electromechanical integration, which has high accuracy, but the power consumption is large, and the mechanical cost and maintenance cost are high
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[0049] This part will describe the specific embodiment of the present invention in detail, and the preferred embodiment of the present invention is shown in the accompanying drawings. Each technical feature and overall technical solution of the invention, but it should not be understood as a limitation on the protection scope of the present invention.
[0050] In the description of the present invention, several means one or more, and multiple means two or more. Greater than, less than, exceeding, etc. are understood as not including the original number, and above, below, within, etc. are understood as including the original number. If the description of the first and second is only for the purpose of distinguishing the technical features, it cannot be understood as indicating or implying the relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features relation.
[0051] In t...
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The invention discloses a steel bar counting method and device based on deep learning. The steel bar counting method comprises the following steps: receiving a steel bar image set; training a circle recognition network by using the training steel bar image; processing the to-be-detected steel bar image by using the trained circle recognition network to obtain a quantity result; in the pre-trainingprocess, traversing all pixel points of each steel bar contour, taking the maximum value of the connecting line of the pixel points and other pixel points as the radius, and when the radius meets therequirement, counting by the accumulator; and when the result value of the accumulator is greater than the set value, judging that the corresponding steel bar contour is circular, and counting the number of circles. Through an image processing technology based on deep learning, the steel bar counting method recognizes circles in an image to count the number of steel bars, and has the advantages of being high in accuracy and low in investment cost.
Description
technical field [0001] The invention relates to the field of image processing, in particular to a method and device for counting steel bars based on deep learning. Background technique [0002] In industrial production, steel bars will be bundled into bundles, and it is necessary to count the steel bars contained in the bundle. Through manual counting, errors are prone to occur due to mental fatigue or eye fatigue of workers; The counting system has high accuracy, but consumes a lot of power, and the cost of machinery and maintenance is high. Contents of the invention [0003] The purpose of the present invention is to solve at least one of the technical problems in the prior art, and provide a method and device for counting steel bars based on deep learning, which has the advantages of low investment cost and high accuracy. [0004] The technical scheme that the present invention solves its problem adopts is: [0005] In a first aspect of the present invention, a method...
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IPC IPC(8): G06T7/00
CPCG06T7/0004G06T2207/10004G06T2207/20081G06T2207/30242Y02P90/30
Inventor 王宏民王克成叶浩槐
Owner WUYI UNIV