Supercharge Your Innovation With Domain-Expert AI Agents!

Dynamic graph display platform based on image recognition

A display platform and image recognition technology, applied in the field of image recognition, can solve the problems of static test results, dynamic description and analysis, and inability to track patients for a long time, so as to reduce equipment power consumption and improve image enhancement quality.

Active Publication Date: 2019-01-18
六安同辉智能科技有限公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The tools used in the above tests are optical tools, and the way of judgment is the manual judgment of doctors relying on personal experience. This detection mechanism can easily lead to too static test results
Unable to perform long-term tracking, dynamic description and analysis of the environment in the patient's ear

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
  • Dynamic graph display platform based on image recognition
  • Dynamic graph display platform based on image recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The implementation of the image recognition-based dynamic image display platform of the present invention will be described in detail below with reference to the accompanying drawings.

[0020] Current in-ear detection mechanisms lack long-term, dynamic detection means. In order to overcome the above disadvantages, the present invention builds a dynamic image display platform based on image recognition, and the specific implementation is as follows.

[0021] figure 1 It is a peripheral interface diagram of a processor of an object extraction device implementing an image recognition-based dynamic image display platform according to an embodiment of the present invention.

[0022] figure 2 It is a structural block diagram of a dynamic image display platform based on image recognition shown according to an embodiment of the present invention, and the platform includes:

[0023] The on-site display device is connected with the object extraction device, and is used to re...

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 dynamic graph display platform based on image recognition. The dynamic graph display platform comprises an onsite display device which is connected with object extraction equipment and is used for receiving and displaying an eardrum dynamic graph output by the object extraction equipment on site; an in-ear imaging device which is arranged in the ears of a patient to shoot the internal scenes of the ears of the patient so as to obtain and output internal scene images; a quality estimation device which is connected with the in-ear imaging device to receive the internalscene images, analyze the noises in the internal scene images to obtain the amplitude values of various noises, and determine the quality grades of the internal scene image based on the amplitude values of various noises. According to the dynamic graph display platform, medical staff can be helped to quickly know the disease in the ears of a patient.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a dynamic image display platform based on image recognition. Background technique [0002] At present, ear inspection is usually used to detect the environment of the patient's ear, and the method mainly includes otoscopy, Eustachian tube function inspection, audiometry, vestibular function inspection, fistula test and other inspections. Generally, first observe the size, position, deformity and symmetry of the auricle, the auricle, the mastoid, and the lymph nodes around the ear for swelling, tenderness and tenderness. [0003] The tools used in the above tests are optical tools, and the way of judgment is the manual judgment of doctors relying on personal experience. This detection mechanism tends to cause the test results to be too static. It is impossible to perform long-term tracking, dynamic description and analysis of the environment in the patient's ear. Contents of th...

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): G06T7/00G06T7/11G06T7/30G06T7/55
CPCG06T7/0002G06T7/11G06T7/30G06T7/55G06T2207/10028G06T2207/20192G06T2207/30004G06T2207/30168
Inventor 孟凯涛
Owner 六安同辉智能科技有限公司
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com