Self-learning method based on image recognition and invisible coding

An invisible coding and image recognition technology, applied in the field of self-learning, can solve problems such as difficult to guarantee accuracy, difficult to implement, complex algorithms, etc., to achieve reliable implementation, improve accuracy, improve intelligence and practicability

Inactive Publication Date: 2019-08-23
深圳智尊保投资控股有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These technical algorithms are complex, difficult to implement, and the accuracy is difficult to guarantee

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
  • Self-learning method based on image recognition and invisible coding
  • Self-learning method based on image recognition and invisible coding
  • Self-learning method based on image recognition and invisible coding

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The present invention will be described in further detail below in conjunction with the embodiments and with reference to the accompanying drawings.

[0023] A self-learning method based on image recognition and invisible coding, please refer to figure 1 , the self-learning device includes a walking body 100, the walking body 100 is provided with a main control unit 106, and the main control unit 106 is electrically connected with a driving system unit 101, an invisible ink printing unit 103, a code reading unit 102, a sensor Unit 104 and camera unit 105; the invisible ink printing unit 103 of this device chooses BD-588 invisible ink printing machine, which uses ultraviolet invisible ink, quick-drying environmental protection ink, no external air source and thinner, and the printing distance is 5mm to 10mm (the distance from the print head to the ground), print every time you move a certain distance on the moving route, and the printing mark is a two-dimensional barcode...

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 image identification and invisible jet coding based self-learning apparatus. The self-learning apparatus comprises a travel main body, wherein the travel main body is provided with a main control unit; and the main control unit is electrically connected with a driving system unit, an invisible ink jet coding unit and a code reading unit. The invention further discloses an image identification and invisible jet coding based self-learning method. The image identification and invisible jet coding based self-learning method and apparatus have the advantage that the self-learning capability of a robot can be simply and reliably realized, so that the intelligentization and practicality of a robot technology can be improved.

Description

technical field [0001] The invention relates to automation technology, in particular to a self-learning method that can simply and reliably realize robot self-learning ability, thereby improving the intelligence and practicability of robot technology. Background technique [0002] The existing robot self-learning technology includes neural network control, robot obstacle avoidance based on the principle of Skinner's operating conditional reflex, etc. Neural network control is to learn through sensor detection and control input feedback information such as position, speed, and current; based on the reflection principle of Skinner's operating conditions, it is to establish the probability of a robot's action set and make it conform to a uniform distribution, and then randomly select an action, Calculate the corresponding position changes, and then realize the self-learning function based on algorithms such as calculation of distance points from obstacles and targets. These te...

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): G06N3/00G06N20/00G06T7/70
CPCG06N20/00G06T2207/30204
Inventor 林宋伟吴克兵韦沛余
Owner 深圳智尊保投资控股有限公司
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