Electric energy meter positive and negative identification method based on lightweight neural network model

Abstract

The invention provides an electric energy meter positive and negative identification method based on a lightweight neural network model. The electric energy meter positive and negative identification method comprises the following steps: step 1, carrying out image acquisition on an electric energy meter in a meter box; step 2, preprocessing the acquired image, and constructing a data set; step 3, building a lightweight neural network model MobileNet-SSD, and training and testing the model by using the data set in the step 2; and step 4, using the trained MobileNet-SSD model to carry out electric energy meter positive and negative identification and outputting a result. The obverse and reverse recognition method for the electric energy meter based on the MobileNet-SSD model can be effectively applied to an electric energy meter feeding production line, a field computer is not required to have too high performance, the posture of the electric energy meter can be recognized more quickly and more accurately, grabbing and placing work can be completed in combination with a robot, and the production efficiency is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of electric energy meter production and processing, and in particular relates to a positive and negative identification method of an electric energy meter based on a lightweight neural network model. Background technique [0002] At present, the transmission process of the electric energy meter still relies on the auxiliary work of industrial robots. However, due to the characteristics of the electric energy meter structure, the robotic arm needs to complete the grasping from the bottom of the electric energy meter in the same direction, which makes the feeding of the electric energy meter before the transmission. The process requires the electric energy meter to be placed in the same direction, so manual inspection is required to correct the direction, which will greatly reduce the efficiency of the electric energy meter. [0003] The traditional template matching technology can identify the direction of th...

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Problems solved by technology

[0002] At present, the auxiliary work of the industrial robot is still relied on during the transmission of the electric energy meter, but due to the characteristics of the electric energy meter structure, the mechanical arm needs to complete the grabbing from the bottom of the electric energy meter in the same direction, which makes it difficult to load the electric energy meter before the electric energy meter is transmitted. The process requires the energy meter to be placed in the same direction, then manual inspection is required to correct the direction, which will greatly reduce the efficiency of the energy meter

[0003] The traditional template matching technology recognizes the direction of the electric meter, which can complete the work to a large extent, but the template matching technology requires a large number of parameter adjustments, and is sensitive to the requirements of the ambient light. A slight change in the ambient light requires readjusting the parameters, which is difficult. To achieve the replication of the project

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