AI intelligent identification method for numbers of water meter

A technology of intelligent recognition and recognition method, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of not being able to adapt to the needs of network upgrades, not fully realizing intelligent recognition, and the process of recognition and detection being cumbersome and complicated.

Pending Publication Date: 2019-08-30
唐山海森电子股份有限公司
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Problems solved by technology

The main detection and analysis process of image data detection based on YOLO in the prior art is based on the identification and analysis of pictures, and the final analysis result is a picture with an accuracy rate, which requires the user to make a judgment based on the accuracy rate , or what is presented to the user is th

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  • AI intelligent identification method for numbers of water meter
  • AI intelligent identification method for numbers of water meter
  • AI intelligent identification method for numbers of water meter

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Embodiment Construction

[0033] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0034] combined with Figure 1-4 , the image detection and recognition method disclosed in the present invention is mainly applied to water meter data detection, and the recognition method uses Darknet-19 as the basic network and is implemented based on YOLOv2.

[0035] The implementation steps of water meter digital recognition are as follows.

[0036] 1. Data source: Use the camera installed on the water meter to take pictures of different types of water meters, a large number of pictures, the number of photos is about 50,000-60,000, and batch process the pixels of a large number of water meter pictures obtained, and uniformly combine the width of the water meter pictures The pixels are modified to 750.

[0037] 2. Data annotation and format conversion: use annotation software to annotate water meter pictures, and each water meter number must be ann...

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Abstract

The invention relates to an AI intelligent identification method for numbers of a water meter. The AI intelligent identification method adopts Darknet-19 as a basic network, and is realized based on YOLOv2: numbers in each box in a data source-data annotation and format conversion-creation.Names file-creation.data file-modification.Cfg configuration file-training model-testing model-model is presented on a use interface in a continuous Arabic number combination form. According to the image identification and detection method, water meter number identification is achieved based on YOLOv2, and Darknet-19 is adopted as a basic network, so that the effect is improved without deepening or widening the network while the network is simplified, and obvious advantages are achieved in the aspects ofthe recall rate and positioning; and the precision is high, and finally the numbers can be presented on the use interface in a continuous Arabic numeral combination mode, and complete artificial intelligence is achieved, and a user does not need to analyze and guess, so that the AI intelligent identification method is visual and convenient.

Description

technical field [0001] The invention relates to the technical fields of pattern recognition and artificial intelligence, in particular to an intuitive AI intelligent recognition method for water meter numbers. Background technique [0002] The application of deep learning in target detection has developed rapidly. After YOLO (You Only Look Once), an upgraded version of YOLOv2 appeared, using Darknet-19 as the basic network. It does not improve the effect by deepening or widening the network, but instead The network is simplified, and it has obvious advantages in both recall rate and positioning. Our water meter digital recognition is based on YOLOv2. [0003] At present, there are many technologies involving the combination of pattern recognition and artificial intelligence, especially applied to image data detection. The main detection and analysis process of image data detection based on YOLO in the prior art is based on the identification and analysis of pictures, and th...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/62
CPCG06V20/00G06V30/153G06V2201/02G06F18/214G06F18/241
Inventor 李宝来崔利刚幺小亮杨丽梅崔光明
Owner 唐山海森电子股份有限公司
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