Title:
GRABBING DETECTION METHOD BASED ON RP-RESNET
Document Type and Number:
WIPO Patent Application WO/2021/249255
Kind Code:
A1
Abstract:
The present invention relates to a grabbing detection method based on an RP-ResNet, which method belongs to the field of computer vision, and in particular relates to the recognition and positioning of a grabbing point of a mechanical arm. The method comprises: inputting a target object image; pre-processing data; performing data processing by means of an RP-ResNet model; and finally, generating a grabbing block diagram of a grabbing target. On the basis of a model ResNet-50, a region proposal network is used in the 30th layer of a network, fuzzy positioning is performed on the position of a grabbing point, feature information of high and low layers is fully fused to strengthen the utilization of information of low layers, and an SENet structure is added to the 40th layer of the network, thereby further increasing the detection accuracy of a grabbing point. By means of a grabbing detection framework based on ResNet-50, a residual network, a region proposal idea and SENet are combined, such that it is ensured that rapid target detection is realized, and the accuracy rate of target detection is further improved.
Inventors:
ZHAO JINGBO (CN)
QIU TENGFEI (CN)
ZHU JINGXUHUI (CN)
LIU XINCHAO (CN)
ZHANG XIAOHAN (CN)
ZHANG WENBIN (CN)
QIU TENGFEI (CN)
ZHU JINGXUHUI (CN)
LIU XINCHAO (CN)
ZHANG XIAOHAN (CN)
ZHANG WENBIN (CN)
Application Number:
PCT/CN2021/097882
Publication Date:
December 16, 2021
Filing Date:
June 02, 2021
Export Citation:
Assignee:
UNIV QINGDAO TECHNOLOGY (CN)
International Classes:
G06K9/34; G06K9/32; G06N3/04; G06N3/08
Foreign References:
| CN111783772A | 2020-10-16 | |||
| CN110009614A | 2019-07-12 | |||
| CN111160249A | 2020-05-15 | |||
| CN108764063A | 2018-11-06 |
Other References:
LI JING, JIANG AILIAN: "Research on Face Detection Based on R-FCN in Complex Scenes", COMPUTER ENGINEERING AND APPLICATIONS, vol. 56, no. 1, 24 January 2019 (2019-01-24), pages 203 - 208, XP055878708, ISSN: 1002-8331, DOI: 10.3778/j.issn.1002-8331.1810-0035
Attorney, Agent or Firm:
BEIJING GAOWO LAW FIRM (CN)
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