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

Implementation method of container lifting anti-collision alignment system based on edge detection

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

Inactive Publication Date: 2019-06-21
NANJING UNIV +1
View PDF3 Cites 0 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
  • Implementation method of container lifting anti-collision alignment system based on edge detection
  • Implementation method of container lifting anti-collision alignment system based on edge detection
  • Implementation method of container lifting anti-collision alignment 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

The implementation method of container anti-collision alignment system based on video image processing is proposed and generated container anti-collision alignment virtual reality map, which provides intuitive container alignment and anti-collision information for drivers. The invention is composed of five parts: a control system, a camera video acquisition system, a data center, background image processing and operation application software. The container and spreader recognition based on video image processing can calculate the relative position of the current spreader and the adjacent container below, as well as the height and relative position of the backward container. This information can well assist the driver to complete the operation, prevent the occurrence of "bowling" accidents during lifting, help the driver quickly realize the positioning and alignment of the container, and greatly shorten the time spent on loading and unloading.

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
Patent Type & Authority Patents(China)
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