Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Inner river ship automatic identification system of multiple vision sensor information fusion

An automatic identification system and visual sensor technology, applied in character and pattern recognition, radio wave measurement systems, instruments, etc., can solve the problems of omissions in detection, low observation efficiency, and rough estimation of observation methods.

Inactive Publication Date: 2008-03-19
ZHEJIANG UNIV OF TECH
View PDF0 Cites 67 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] In order to overcome the shortcomings of the existing visual observation method of inland ship traffic flow, which mainly needs to rely on manual 24-hour non-stop continuous observation, the estimated value of the observation method is rough, the observation efficiency is low, the error of statistical data is large, and there are omissions in detection, etc., the present invention provides a Through the fusion of multi-visual sensors and the automatic collection of basic data of inland water traffic by computer, the automatic identification system of inland water vessels can carry out effective multi-vision sensor information fusion for inland water traffic management

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
  • Inner river ship automatic identification system of multiple vision sensor information fusion
  • Inner river ship automatic identification system of multiple vision sensor information fusion
  • Inner river ship automatic identification system of multiple vision sensor information fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0105] Referring to Fig. 1 to Fig. 17, an inland watercraft automatic recognition system for multi-visual sensor information fusion, including a plurality of visual sensors, a microprocessor for ship object tracking, image recognition and inland river traffic statistics, and for displaying ship tracking conditions , the display unit of the overall image of the ship, the image of the cockpit of the ship, the statistical chart of inland river traffic, etc., the multiple visual sensors are connected to the microprocessor through the video card, and the multiple visual sensors include a large-scale monitoring visual sensor 1 in the monitoring channel. And a fast ball visual sensor 2 that carries out close-up capture of hull image and cockpit (ship name signboard) image, described microprocessor includes: image display unit, is used for displaying the video image in the whole inland waterway, tracking ship's The overall image and the cockpit image of the tracking ship; the large-sca...

Embodiment 2

[0251] All the other are identical with embodiment 1, and difference is that wide-angle monitoring visual sensor 1 adopts wide-angle camera, and as shown in accompanying drawing 1, wide-angle camera and high-speed dome camera are installed on the side same position of channel, and wide-angle camera can monitor 140 ° of channel For ships within the range, the information fusion of the wide-angle camera and the high-speed dome camera is also realized through the mapping table. Each area corresponds to a preset point of the fast dome camera. When the wide-angle camera detects that the ship appears in a certain detection area After the microprocessor gets the information, it controls the fast dome camera to the preset point corresponding to the area, and captures the close-up of the ship object.

[0252] Since the distance between the detected virtual lines on the video image is expressed in pixels, which has a functional relationship with the actual detection lines on the waterway...

Embodiment 3

[0274] All the other are identical with embodiment 1, and difference is that wide-angle monitoring visual sensor 1 adopts wide-angle camera, and as shown in accompanying drawing 5, wide-angle camera and high-speed dome camera are installed on the side of channel and are separated by a certain distance position, and wide-angle camera shooting direction and The direction of the channel is tilted at an angle, and the wide-angle camera can monitor ships within the range of 140° horizontally. Similarly, the information fusion of the wide-angle camera and the speed dome camera is realized through the mapping table, and each area corresponds to a preset of the speed dome camera. Point, when the wide-angle camera detects that the ship appears in a certain detection area, the microprocessor controls the fast dome camera to the preset point corresponding to the area after obtaining the information, and captures the close-up of the ship object.

[0275] The inventive effects produced by t...

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

An automatic identification system, which is integrated by the information of a multi-visual sensor and is used on inland river ships, comprises a large-scale monitoring visual sensor which can be used on monitor fairways, an express-ball visual sensor which can be used for shooting close-up images of ship bodies and name plates of ships, and a microprocessor which can be used for tracing target ships, identifying images and summarizing traffic situations of inland rivers; the large-scale monitoring visual sensor can realize multi-target tracing for ships on fairways; when a ship enters the monitoring area, the system automatically produces an event and an ID of the ship to control the rotating and focusing of the express-ball visual sensor; the express-ball visual sensor focuses on the traced vessel to shoot; the height of the vessel body which is above water and the load can be estimated by detecting of the outline of the close-up image; and at the same time, by positioning the ship cockpit, the number of the name plate can be shot and identified; by integrating multi-visual sensors and automatically collecting the basic data of inland river traffic by a computer, the present invention can effectively manage inland rivers.

Description

technical field [0001] The invention belongs to a ship automatic identification system, and in particular relates to the application of multi-visual sensor information fusion technology, multi-target tracking technology, image positioning and capture technology, image recognition technology, ship tonnage video detection technology and database, and computer network technology in ship automatic identification. Background technique [0002] Ship Automatic Identification System (AIS) is a new type of marine navigation aid, and it is also a key technology in the monitoring and management system of ship navigation. Its function and performance standards are jointly researched and formulated by international organizations such as the International Maritime Organization (IMO), the International Association of Aids to Navigation (IALA), and the International Telecommunication Union (ITU). Its main purpose is to provide ship operators with more accurate and detailed navigation enviro...

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): G06K9/00G06K9/46G06K9/20G01C21/00G01C11/36
CPCY02A90/30
Inventor 汤一平严献吉周超严海东柳圣军庞成俊唐伟杰王益义邱霆陆海峰何祖灵金海民
Owner ZHEJIANG UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products