Method for identifying flexible pressure sensing array graph based on deep learning

A sensor array and deep learning technology, applied in the field of image recognition, can solve problems such as practical impact, poor generalization ability, and inability to meet scene requirements

Pending Publication Date: 2022-08-02
NINGBO INST OF MATERIALS TECH & ENG CHINESE ACADEMY OF SCI
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] (1) When identifying objects during training, if the differences between samples are small, the accuracy of object recognition will decrease and the generalization ability will be poor;
[0007] (2) Different methods of grabbing objects by the manipulator and different positions of t

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 for identifying flexible pressure sensing array graph based on deep learning
  • Method for identifying flexible pressure sensing array graph based on deep learning
  • Method for identifying flexible pressure sensing array graph based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The invention is further described below with reference to the accompanying drawings and in conjunction with specific embodiments, so that those skilled in the art can implement it with reference to the description, and the protection scope of the present invention is not limited to the specific embodiments.

[0037]It should be understood by those skilled in the art that in the disclosure of the present invention, the terms "portrait", "horizontal", "upper", "lower", "front", "rear", "left", "right", " The orientation or positional relationship indicated by vertical, horizontal, top, bottom, inner, outer, etc. is based on the orientation or positional relationship shown in the accompanying drawings, which are only for the convenience of describing the present invention and The description is simplified rather than indicating or implying that the device or element referred to must have a particular orientation, be constructed and operate in a particular orientation, and ...

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 for identifying a flexible pressure sensor array diagram based on deep learning, which comprises the following steps of: pasting a sensor on a manipulator to grab an object, and classifying the identified object; generating a flexible pressure sensing array graph sample by using a deep convolutional generative adversarial network technology; training a flexible pressure sensing array graph sample by using an improved neural network model and introducing an attention mechanism to obtain an optimal model; testing the test set in the sample according to the optimal model obtained by training; the trained optimal model is applied to the manipulator, an object is dynamically grabbed, and the type of the object is recognized; the method is high in recognition accuracy, high in recognition efficiency and strong in generalization ability, and can meet the requirements of a large number of application scenes.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a deep learning-based flexible pressure sensing array image recognition method. Background technique [0002] The force generated by the contact between objects and objects plays a very important role in many industrial fields. Different from the general type of sensor, the flexible pressure sensing array can detect the force of flexible-flexible and flexible-rigid contact. Flexible pressure sensing arrays not only have the characteristics of ordinary sensors, but also have the characteristics of thin, soft, and bendable. The flexible pressure sensing array can detect the magnitude and distribution information of the contact force in the bending state, especially in the contact force detection of some curved surfaces or non-planar shapes, it has a good effect, and has been widely used in many fields. [0003] At present, most of the existing researches on the collecti...

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
IPC IPC(8): G06K9/62G06V10/774G06V10/80G06V10/82G06N3/04G06N3/08
CPCG06V10/774G06V10/82G06V10/806G06N3/08G06N3/045G06F18/2411Y02T10/40
Inventor 尚杰凌章瑾李润伟汪松胡振宇王璕
Owner NINGBO INST OF MATERIALS TECH & ENG CHINESE ACADEMY OF SCI
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