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

Method for realizing container hoisting crashproof aligning system based on edge detection

A technology of edge detection and implementation method, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., and can solve problems such as cost, insufficient lifting height, and affecting port throughput speed

Inactive Publication Date: 2016-08-24
NANJING UNIV +1
View PDF3 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0019] The problem to be solved by the present invention is: during the lifting process of the container, the spreader and the container may collide with the container due to insufficient lifting height or the driver's viewing angle is limited. During the loading and unloading operation, the driver spends a lot of time on container alignment, which seriously reduces the operation efficiency and affects the throughput speed of the port; a system capable of accurate collision avoidance and alignment is required

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 realizing container hoisting crashproof aligning system based on edge detection
  • Method for realizing container hoisting crashproof aligning system based on edge detection
  • Method for realizing container hoisting crashproof aligning system based on edge detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The present invention utilizes container shape features and video image processing technology to design a container lifting anti-collision alignment system based on edge detection. The system consists of the following parts:

[0042] 1) Camera video acquisition subsystem: including anti-collision camera and alignment camera. The anti-collision camera is installed on the beam above the spreader to take pictures of the rear of the spreader. The alignment camera is installed directly above the spreader to take pictures of the spreader. tools and containers;

[0043] 2) Data center subsystem: used to save the captured original video data and submit the original video data to the background image processing subsystem;

[0044] 3) Background image processing subsystem: used to perform image processing on the original video data, obtain container location information, and send it to the control subsystem and the man-machine interface subsystem; the background image processing...

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

A method for realizing container hoisting crashproof aligning system based on video image processing is disclosed. A container crashproof aligning virtual reality graph is provided and generated to provide a driver with visual container aligning crashproof information. A control system, a camera video acquisition system, a data center, a background image processing part and a work application form the system. According to container and suspender identification based on video image processing, the relative position of a current suspender and an adjacent container below the suspender and the height and relative position of a rear container can be calculated. The information helps a driver to complete work, and 'domino effect' accident during lifting operation can be prevented. The method helps the driver to rapidly position and align containers, and time for loading and unloading work is greatly shortened.

Description

technical field [0001] The invention belongs to the field of video image processing, and is mainly used in a container lifting anti-collision alignment system, specifically a method for realizing a container anti-collision alignment system based on edge detection by using container shape characteristics and video image processing technology. Background technique [0002] Driven by economic globalization and the transfer of the world's industrial structure, my country's trade volume still maintains an upward trend year by year. The huge import and export volume has greatly stimulated the port shipping market, which means that domestic ports need higher service levels. [0003] Huge port throughput means that the intensity of container yard operations is increasing. High-efficiency ports are inseparable from the application of high-efficiency mechanical equipment and high-tech, while the old method takes a lot of time to grab containers through driver's visual recognition. M...

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): G06K9/00
CPCG06V20/42G06V20/20
Inventor 阮雅端陈林凯郜红叶李勃周东李昀峰童剑陈启美
Owner NANJING 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