Digital display instrument reading identification method based on convolutional neural network

A technology of convolutional neural network and instrument reading, which is applied in the direction of neural learning method, biological neural network model, neural architecture, etc., can solve the problem of low recognition accuracy and achieve high recognition accuracy

Inactive Publication Date: 2018-11-16
深圳市云识科技有限公司 +1
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that the character segmentation process is easily disturbed by image noise, resulting in mis-segmentation, and the recognition accuracy is not high.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Digital display instrument reading identification method based on convolutional neural network
  • Digital display instrument reading identification method based on convolutional neural network
  • Digital display instrument reading identification method based on convolutional neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention is further described below in conjunction with accompanying drawing and embodiment:

[0037] Such as figure 1 As shown, a digital display instrument reading recognition method based on convolutional neural network, including data acquisition, data processing, deep network model construction and training, and instrument reading recognition processes.

[0038] 1. Data acquisition: use camera equipment such as mobile phones and special hardware to capture images of instrument panels.

[0039] During the shooting process, the reading part of the instrument dial faces the camera, is centered and occupies more than two-thirds of the image area. The instrument dial is allowed to tilt to a certain extent, but the reading area needs to be shot completely. The captured meter images should cover different specifications of the meters to be tested, and the number of meter images should not be less than 100,000.

[0040] 2. Data processing: mark the captured ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a digital display instrument reading identification method based on a convolutional neural network in the technical field of mode identification and artificial intelligence. The digital display instrument reading identification method comprises the steps of obtaining data, processing the data, constructing a depth network model, reading instrument reading and the like. According to the digital display instrument reading identification method based on the convolutional neural network disclosed by the invention, a high-precision automatic digital display instrument reading identification method is realized through a learning and training process based on a big-data instrument image; and the method has the characteristics of being high in identification accuracy rate and real-time performance, better in practical value and the like.

Description

technical field [0001] The invention relates to the technical fields of pattern recognition and artificial intelligence, in particular to a method for recognizing readings of digital display instruments based on a convolutional neural network. Background technique [0002] The automatic identification of meter readings has a wide range of applications in various measurement and monitoring systems. For example, in the meter reading billing application of water, electricity and heat, it is necessary to read the meter readings regularly. In the monitoring system, it is also necessary to read the meter readings regularly or in real time to realize the monitoring and control of the system. At present, there are mainly the following ways to obtain instrument readings: [0003] (1) In some application fields, meter readings are mainly read manually, such as manual meter reading of water, electricity, and heat data. This method is time-consuming and laborious, and is not conduciv...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/20G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V10/22G06N3/045G06F18/24G06F18/214
Inventor 金连文高学孙增辉罗灿杰
Owner 深圳市云识科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap