A fast and accurate identification method for water meter measurement based on slimssd model

A recognition method and model technology, applied in the field of computer vision and pattern recognition, can solve the problems of water meter measurement and detection efficiency and low accuracy, and achieve the effect of improving the recognition speed and accuracy, improving the recognition accuracy and improving the processing speed.

Active Publication Date: 2021-10-01
北京市智慧水务发展研究院 +1
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] To this end, the present invention provides a fast and accurate identification method for water meter measurement based on the slimSSD model to overcome the problems of low measurement and detection efficiency and accuracy of water meters in the prior art due to the complex structure of the network model

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
  • A fast and accurate identification method for water meter measurement based on slimssd model
  • A fast and accurate identification method for water meter measurement based on slimssd model
  • A fast and accurate identification method for water meter measurement based on slimssd model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0075] In order to make the objects and advantages of the present invention clearer, the present invention will be further described below in conjunction with the examples; it should be understood that the specific examples described here are only for explaining the present invention, and are not intended to limit the present invention.

[0076] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the protection scope of the present invention.

[0077] It should be noted that, in the description of the present invention, terms such as "upper", "lower", "left", "right", "inner", "outer" and other indicated directions or positional relationships are based on the terms shown in the accompanying drawings. The direction or positional relationship shown is ...

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 relates to a fast and accurate recognition method for water meter measurement based on a slimSSD model, and belongs to the technical field of computer vision and pattern recognition. A fast and accurate recognition method for water meter measurement based on the slimSSD model described in the present invention includes data preparation, model improvement, model training, model optimization, model secondary fine-tuning, model testing and model output, in order to solve the water meter measurement area affected by water For the problem that noise interference such as fog cannot be accurately identified, a hybrid attention model is embedded in each detection branch to improve the SSD model, and combined with a saliency-driven channel clipping method to compress the network model, on the basis of ensuring accurate detection and identification of water meter metering areas, Remove redundant channel parameters, improve processing speed, and ensure portability of lightweight networks on embedded devices.

Description

technical field [0001] The invention relates to the technical field of computer vision and pattern recognition, and in particular to a method for fast and accurate recognition of water meter measurement based on a slimSSD model. Background technique [0002] Water data collection is a tedious but important task for the water energy operation department. The traditional method of manual meter reading to obtain water consumption data not only requires a great deal of manpower and material resources; it is also difficult to ensure the timeliness and safety of data collection; in addition, it is difficult to timely perceive emergencies such as water pipe damage and leakage, and it is difficult to meet the requirements Refined management and control of water energy. [0003] With the increasing maturity of artificial intelligence technology and the rapid development of GPU and other hardware technologies, the automatic detection and recognition technology based on deep network m...

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 Patents(China)
IPC IPC(8): G06K9/20G06K9/62G06N3/04G06N3/08
CPCG06N3/082G06V10/22G06V2201/02G06N3/045G06F18/213G06F18/253
Inventor 耿艳兵张新廉永康刘建国李晓梅聂明杰张兴业邹晓涛李楠贾陆璐
Owner 北京市智慧水务发展研究院
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