Unlock instant, AI-driven research and patent intelligence for your innovation.

container transaction monitoring method based on an LSD linear detection segmentation algorithm

A segmentation algorithm and straight line detection technology, which is applied in calculation, image analysis, image enhancement, etc., can solve problems such as prone to accidents, longer rolling period, and increased navigation risk, so as to improve processing efficiency and reduce camera shake , improve the effectiveness of the reporting method

Active Publication Date: 2019-03-26
华际科工(北京)卫星通信科技有限公司
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the stability of the container is low, the rolling period becomes longer, and the ability to resist cross winds and waves is weak. Once the container moves and the center of gravity of the ship is unstable, the danger of navigation will increase and accidents will easily occur.
[0003] In the past, it was common in the industry to install cameras on ships to monitor container changes. However, this method can only observe large-scale changes. If there is a slight change, it is difficult for the camera to observe, and container changes cannot be avoided. happened

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
  • container transaction monitoring method based on an LSD linear detection segmentation algorithm
  • container transaction monitoring method based on an LSD linear detection segmentation algorithm
  • container transaction monitoring method based on an LSD linear detection segmentation algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.

[0041] like Figure 1-2 As shown, the present invention provides a method for container abnormality monitoring based on the LSD line detection and segmentation algorithm. The method includes three parts: generating standard templates, abnormality statistics, and result processing.

[0042] The first part, generate a standard template:

[0043] The method of described step A comprises:

[0044] Step A1, video real-time synchronization: For the input video, multi-thread technology is used for processing. One thread is responsible for fetching video data and converting the data into matrix data available to the algorithm, and the other thread is responsible for event p...

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 discloses a container transaction monitoring method based on an LSD straight line detection segmentation algorithm. The method comprises the steps of A, generating a standard template; B, carrying out comparison statistics on new video frame straight line elements; and C, carrying out result disposal. According to the method, an LSD algorithm is used for extracting image straight lines, the initial position and state of the container are obtained through videos collected by a camera, and if the container moves abnormally, the container moving abnormally is found out through comparison with the initial position, and an abnormal movement event is output. According to the invention, by establishing the multi-frame template, the influence of camera jitter is effectively reduced;And a standard template is further established, a sensitive area is defined, the report mode of transaction is effectively improved, multi-thread division is carried out, and the processing efficiencyis improved.

Description

technical field [0001] The invention relates to the technical field of container monitoring, in particular to a container abnormality monitoring method based on an LSD line detection and segmentation algorithm. Background technique [0002] The container is fixed by fixing devices such as lock buttons and lashing rods, and placed according to the stacking principle of bottom heavy and top light to enhance the stability of the container. If the stability of the container is low, the rolling period becomes longer, and the ability to resist cross wind and waves is weak. Once the container moves and the center of gravity of the ship is unstable, the danger of navigation will increase and accidents will easily occur. [0003] In the past, it was common in the industry to install cameras on ships to monitor container changes. However, this method can only observe large-scale changes. If there is a slight change, it is difficult for the camera to observe, and container changes cann...

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): G06T7/10
CPCG06T7/001G06T2207/10016
Inventor 曹亮赵强张朋元
Owner 华际科工(北京)卫星通信科技有限公司