Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Database intelligent image recognition algorithm

A technology of intelligent image and recognition algorithm, which is applied in the direction of electronic digital data processing, character and pattern recognition, digital data information retrieval, etc., can solve the problems of work influence, omission, and not strict identification, etc., and achieve the effect of strengthening precision

Inactive Publication Date: 2022-05-10
南京仕宸科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the process of using the existing database image recognition algorithms, since most of the image recognition algorithms are calculated and screened through an integrated system, it is easy to cause omissions or lax identification in the use of the staff, and then give Normal work is affected

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
  • Database intelligent image recognition algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0016] see figure 1 , in this embodiment: a database intelligent image recognition algorithm, including a visual content capture program, the output signal of the visual content capture program is connected to an image acquisition device, and the input signal of the image acquisition device is connected to an audio content capture program, The output signal of the image acquisition device is connected to the information transmission module, the output signal o...

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 the technical field of intelligent data analysis programs, in particular to a database intelligent image recognition algorithm, the output end of an information transmission module is in signal connection with an information recognition module, and the output end of the information recognition module is in signal connection with an image recognition unit. The output end of the image recognition unit is in signal connection with a static image recognition program, the output end of the image recognition unit is in signal connection with a dynamic image recognition program, and the output end of the image recognition unit is in signal connection with an image database. According to the invention, information is captured and sent to the image acquisition device through the visual content capture program and the audio content capture program, the image recognition unit performs static image recognition and dynamic image recognition on the image, and then the information is processed through the display screen and the audio playing device and is used at the use terminal. Therefore, the effects of performing split type identification on the algorithm of the database and enhancing the meticulous use of the algorithm of the database are achieved.

Description

technical field [0001] The invention relates to the technical field of intelligent data analysis programs, in particular to a database intelligent image recognition algorithm. Background technique [0002] The database is a warehouse for storing data. It has a large storage space and can store millions, tens of millions, or hundreds of millions of data. However, the database does not store data randomly. There are certain rules, otherwise the query The efficiency will be very low. Today's world is an Internet world full of data, which is full of a large amount of data. That is, this Internet world is a data world. There are many sources of data, such as travel records, consumption records, web pages browsed, and messages sent. Etc. In addition to text-type data, images, music, and sounds are all data; [0003] In the process of using the existing database image recognition algorithms, since most of the image recognition algorithms are calculated and screened through an inte...

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): G06F16/583G06V10/44
CPCG06F16/583
Inventor 许晓凡
Owner 南京仕宸科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com