Instrument panel digital recognition method based on Fast-RCNN

A digital recognition and instrument panel technology, applied in the field of target detection of computer vision technology, can solve the problems of prone to errors, failure to guarantee recognition accuracy, time-consuming and labor-intensive problems, and achieve the goals of improving accuracy, facilitating use and promotion, and improving recognition efficiency Effect

Pending Publication Date: 2021-03-19
ANHUI UNIVERSITY OF TECHNOLOGY
View PDF13 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that the manual reading of the instruments in the current industrial plant is time-consuming, prone to mistakes, and will cause unnecess...

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
  • Instrument panel digital recognition method based on Fast-RCNN
  • Instrument panel digital recognition method based on Fast-RCNN
  • Instrument panel digital recognition method based on Fast-RCNN

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046]Instruments are important equipment in industrial plants. At present, due to the large number of instruments in industrial plants and many potential dangerous areas, manual reading of digital instruments in the plant is not only time-consuming and laborious, but also creates unnecessary risks. It is also prone to mistakes.

[0047] In recent years, researchers have proposed many target detection algorithms based on deep learning, such as Faster-RCNN, YOLOV3, SSD, etc. Since Faster-RCNN has the advantages of high detection accuracy and fast speed, it can be used to identify the display of the dashboard. However, due to the dark ambient light of the instruments in the factory building, traditional computer vision technology cannot complete the recognition work. Based on the above problems, such as Figure 1-Figure 3 As shown, the present invention provides a kind of instrument panel digital recognition method based on improved Faster-RCNN, realizes the automatic identific...

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 an instrument panel digital recognition method based on a Faster-RCNN, and belongs to the field of target detection of computer vision technology. The method specifically comprises the following steps: S1, acquiring data, and acquiring an original picture of an instrument panel; S2, performing data preprocessing for making a training set; S3, carrying out reading dial identification model training and model identification to obtain a reading dial picture; and S4, carrying out reading identification model training and model identification to obtain an exact reading. By adopting the technical scheme, the reading of the instrument panel in the industrial factory building can be effectively recognized, the problems that time and labor are wasted, errors are likely to happen and safety risks exist when manual reading is adopted traditionally are solved, and practicability is good.

Description

technical field [0001] The invention belongs to the field of target detection of computer vision technology, in particular to a Faster-RCNN-based instrument panel digital recognition method. Background technique [0002] Meters are important equipment in industrial plants. Professionals can understand the operating status of equipment based on the readings on the instrument panel. Digital instrument is a very important classification among conventional instruments. It can cooperate with various detection instruments to display process variables such as temperature, pressure and flow. It is widely used. At present, conventional digital instruments usually require manual reading operations. However, because there are many instruments in industrial plants and there are many potential danger areas, manual reading is not only time-consuming and labor-intensive, but also prone to errors and unnecessary risks. [0003] With the development of deep learning technology represented b...

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
IPC IPC(8): G06K9/34G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V30/153G06V10/50G06V30/287G06V2201/02G06N3/045G06F18/2414G06F18/214
Inventor 徐向荣周攀刘雪飞朱永飞
Owner ANHUI UNIVERSITY OF TECHNOLOGY
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