Numbering-based closed region identification and scoring system and method

A closed area and numbering technology, applied in the field of recognition, can solve problems such as interference from light, transparent shaking, difficulty in viewing at the same time, failure to correct errors in time, etc., to achieve efficient scoring methods, improve recognition and scoring, and reduce workload. Effect

Inactive Publication Date: 2020-11-06
王志东
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] (1) With limited experience, it is difficult to check the actions of many people at the same time;
[0005] (2) Only looking at the final result will lead to failure to correct errors in time and various accidents (or even accidents);
[0006] (3) Due to different environments, there are different objects to be recognized. Every recognition requires learning and modeling, and there are problems such as light, transparency, and shaking interference;

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
  • Numbering-based closed region identification and scoring system and method
  • Numbering-based closed region identification and scoring system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] applied to chemical reactions

[0061] S000, the identification subsystem performs numbering, classification definition, photographing, registration and filing of the chemical containers to be treated. The specific numbering and classification definitions are as follows:

[0062] 31 (3 is the test tube, 1 is the test tube number 1, which is potassium permanganate),

[0063] 42 (4 is the container, 2 is the alcohol lamp number 2)

[0064] 43 (4 is the container, 3 is the reaction dish number 3)

[0065] 54 (5 is the rack, 4 is the test tube holder number 4)

[0066] S010-S015, follow-up LED to irradiate numbered objects at high speed and identify ID number, AI camera "fix 31 on 54; use 42 to heat; collect the oxygen output from the test tube into 43" motion track record Go to the motion track database, and index and verify the photos in real time. After the verification is correct and the AI ​​camera finds that "oxygen was obtained in 43", the server's motion track is...

Embodiment 2

[0068] Used in chemical experiments

[0069] The system application process is the same as that of Embodiment 1. The test tube objects to be identified are numbered, and classification definitions are made, and specific colors are provided for gases, specifically:

[0070] 21 (2 is gas container, 1 is oxygen, can add color, such as red, easy to register),

[0071] 22 (2 is gas container, 2 is hydrogen, can add color, such as yellow, easy to register),

[0072] 42 (4 for containers, 2 for alcohol lamps)

[0073] 43 (4 are containers, 3 are reaction vessels)

[0074] 54 (5 is the rack, 4 is the test tube holder number 4)

[0075] The identification subsystem records and saves the standard movement trajectory "Open the valve so that both 21 and 22 enter 43, mix in proportion, fix 43 on 54; use 42 to ignite; store the water vapor obtained from combustion in 43." , and sent to the server for subsequent verification reference.

[0076] In the specific identification and evaluat...

Embodiment 3

[0078] Applied to changing lanes at railway crossings

[0079] First of all, use an AI camera that can take pictures clearly even in bad weather to take pictures, mark the status, and make a registration record.

[0080] Mark the [coming vehicle track] close to fork 1, such as a complete circle, or the number 5;

[0081] Mark the [coming vehicle track] close to the fork 2, such as a complete square, or the number 4;

[0082] Secondly, the AI ​​camera waits for the instruction of the lane change system, and when the instruction starts to recognize, the AI ​​camera starts to recognize. The X1 link is described as follows:

[0083] X1=Whether there is a circle or a square at present,

[0084] Y0=circle but no square, lane change=branch 1, target=lane change 1=10 points, target=lane change 2=0 points, 0 points alarm=reverse;

[0085] Y1=There is a square but no circle, lane change=fork 2, target=lane change 2=10 points, target=lane change 1=0 points, 0 points alarm=reverse;

...

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 a numbering-based closed area identification and scoring system and method. The system comprises an identification subsystem and a scoring subsystem, wherein the identificationsubsystem carries out the numbering and registration of various objects in a closed area, identification classification of the identification subsystem comprises number missing, number abnormality, check abnormality, check normality, incapability of identifying numbers and no need of identification, and the evaluation subsystem performs logic processing according to the object number and the motion trail obtained by the identification subsystem, processes the object number and the motion trail into an action sequence, and grades the generated action sequence. According to the system, accuratereal-time identification and efficient scoring are carried out in a closed area under the action of the ID tag.

Description

technical field [0001] The invention relates to the technical field of identification, in particular to a system and method for identifying and scoring closed areas based on numbers. Background technique [0002] With the advancement of technology, a large number of devices and systems with AI recognition functions have appeared. However, in a closed area, especially closed areas such as chemical laboratories, biological laboratories, physical laboratories, medical laboratories, etc., there are many types of items and various sizes of objects to be identified. In equipment (items), it is very difficult to accurately and high-speed recognize objects and record their movement trajectories, and at the same time process the movement trajectories into actions logically for scoring. [0003] At present, most of the action scores in existing environments (such as laboratories) rely on subjective evaluations made by experienced people (such as teachers), which have the following sh...

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): G06K9/00
CPCG06V20/10
Inventor 王志东王志晓
Owner 王志东
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