Water meter disc area detection method based on full convolution recurrent neural network

Abstract

The invention discloses a water meter disc area detection method based on full convolution recurrent neural network. The method comprises the following steps: obtaining the image of a water meter; marking the external rectangular frame at the water meter disc area on the image of the water meter; obtaining the marking information of the external rectangular frame at the water meter disc area; constructing a full convolution recurrent neural network; extracting the multi-channel characteristic image of the water meter image; using a sliding window to scan the multi-channel characteristic image; screening a candidate window for the meter disc area; extracting the corresponding position characteristics of the candidate window for the meter disc area; obtaining a final target detection result; and using the losses of the candidate window for the meter disc area and the final target to update the parameters for the full convolution recurrent neural network. According to the invention, the full convolution recurrent neural network in deep learning is utilized to automatically extract the characteristics of the water meter disc, which solves the problem of detecting a water meter disc area under a complicated environment and further inputs the identified position of the disc as identified by the water meter. This manner greatly increases the identification rate of a water meter.

Description

technical field [0001] The invention relates to the fields of machine learning and computer vision, in particular to a water meter disk area detection method based on a fully convolutional recurrent neural network. Background technique [0002] In recent years, with the development of artificial intelligence, the use of deep learning to solve the problems encountered by traditional machine learning has become a hot topic. The detection of the water meter disc area based on computer vision is an important application in computer vision. It can correctly identify a Whether the water meter disc is included in the picture has laid a solid foundation for improving the recognition rate of water meter readings, and then automatically recognizes water meters to replace the existing manual water meter reading methods. [0003] The primary problem to be solved in water meter disk area detection is the detection of circular areas. The current mainstream methods mainly include Hough tra...

AI Technical Summary

Problems solved by technology

However, these methods have not fundamentally solved the problem, and are not adaptable to conditions such as illumination, deformation, and occlusion in various complex scenes.

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