Unlock instant, AI-driven research and patent intelligence for your innovation.

Method and system for object recognition

An object recognition, object technology, applied in the field of computer vision, can solve problems such as the inability of users to identify accurate results

Active Publication Date: 2019-10-25
HANGZHOU GLORITY SOFTWARE LTD
View PDF14 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there may be multiple similar results for the type of object identified by the above application, and the exact result cannot be identified for the user

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
  • Method and system for object recognition
  • Method and system for object recognition
  • Method and system for object recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] Hereinafter, various exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. It should be noted that unless specifically stated otherwise, the relative arrangement of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present disclosure. In order to better explain the present disclosure, many details are set forth in the following description, but it is understandable that the present disclosure can be practiced without these details.

[0025] The following description of various exemplary embodiments is merely illustrative, and those of ordinary skill in the art will recognize that other variations, modifications, and alternatives are possible. In the present disclosure, the terms “first”, “second”, etc. are only used to distinguish between elements or steps, etc., and are not intended to indicate chronological order, priority, or i...

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 method and a system for object recognition. There is provided a method for object recognition. The method comprises the steps of acquiring a first image of at least a portion of a presentation object from a user; based on the first image, identifying the type of the object through a pre-established object identification model to obtain at least one result; searching in arule database containing at least one group of easily confused object types by using the at least one result so as to determine whether the easily confused object types corresponding to the at leastone result exist or not; and if the confusible object type corresponding to the at least one result exists in the rule database, returning the at least one result and the confusible object type corresponding to the at least one result to the user.

Description

Technical field [0001] The present disclosure relates to the field of computer vision, and in particular to methods and systems for object recognition. Background technique [0002] In the field of computer vision, there is a need to recognize a variety of objects. However, in most cases, users need to find and identify the type of the object by themselves through search engines, professional dictionaries and other auxiliary tools based on the characteristics of the object. This kind of search is very time-consuming and not very accurate. [0003] In recent years, there have been applications that take an image of an object and then use the image as an input to obtain information about the type of the object. However, the types of objects identified by the above-mentioned applications may have multiple similar results, and it is impossible to identify accurate results for users. [0004] Therefore, there is a need for improved methods and systems for identifying types of objects. ...

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): G06K9/00G06V10/764G06V20/00
CPCG06V20/20G06V20/00G06V10/454G06V10/82G06V10/764
Inventor 徐青松李青
Owner HANGZHOU GLORITY SOFTWARE LTD
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