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

River surface garbage real-time detection method and device based on unmanned ship and storage medium

A real-time detection, unmanned ship technology, applied in neural learning methods, image data processing, biological neural network models, etc., can solve the problems of poor real-time identification of river surface garbage, inability to accurately identify the location and type of garbage, etc.

Pending Publication Date: 2021-07-06
XIAN JIAOTONG LIVERPOOL UNIV
View PDF3 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] This application provides a real-time detection method, device and storage medium for river garbage based on unmanned boats, which can solve the current problems of poor real-time identification of river garbage and inability to accurately identify the location and type of garbage

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
  • River surface garbage real-time detection method and device based on unmanned ship and storage medium
  • River surface garbage real-time detection method and device based on unmanned ship and storage medium
  • River surface garbage real-time detection method and device based on unmanned ship and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The specific implementation manners of the present application will be further described in detail below in conjunction with the drawings and embodiments. The following examples are used to illustrate the present application, but not to limit the scope of the present application.

[0050] figure 1 It is a schematic diagram of the system architecture for realizing the real-time detection method of river surface garbage in this embodiment provided by one embodiment of the present application, such as figure 1 As shown, the system architecture includes: a binocular camera 101 , a server 102 and an embedded development board 103 .

[0051] The binocular camera 101 is installed on the unmanned ship, and the unmanned ship gathers video images of the river surface through the binocular camera. The binocular camera includes a left camera and a right camera, the left camera and the right camera are fixed in front of the driving direction of the unmanned ship through a support ...

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 river surface garbage real-time detection method and device based on an unmanned ship and a storage medium. The method comprises the following steps: acquiring a river surface real-time video image; performing garbage target detection on the video image by adopting a pre-trained garbage recognition model to obtain the type of garbage and the position information of the garbage; and based on the type of the garbage and the position information of the garbage, determining the garbage distribution condition of the river surface so as to indicate the unmanned ship to salvage the garbage. The problems that current river surface garbage recognition is poor in real-time performance and the position and the type of garbage cannot be accurately recognized can be solved.

Description

technical field [0001] The application relates to a real-time detection method, device and storage medium for river garbage based on an unmanned ship, and belongs to the technical field of image detection. Background technique [0002] With the improvement of people's living standards, garbage production is also expanding, and the river surface environment is also deteriorating. Through effective garbage detection methods, different types of garbage can be treated differently, such as recycling, landfill, incineration, etc., which can realize the correct use of resources and protect the environment. [0003] Although river rubbish detection has been proposed for a long time, there is currently no real-time method that can identify garbage classification, angle, and distance. [0004] "CN201810537983-A water surface garbage identification method based on multi-feature machine learning" can only identify the type of garbage, but cannot identify the distance and orientation of...

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): G06K9/00G06K9/62G06T7/70G06N3/04G06N3/08
CPCG06T7/70G06N3/08G06T2207/10016G06T2207/20081G06T2207/20084G06V20/10G06N3/045G06F18/241
Inventor 姚善良朱晓辉岳勇岳玉涛
Owner XIAN JIAOTONG LIVERPOOL UNIV
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