Design and Implementation of Shooting Contest Ring Number Automatic Identification System Based on Image Processing

2016 ◽  
Vol 9 (6) ◽  
pp. 407-418
Author(s):  
Wenya Li ◽  
Bing Xu
Keyword(s):  
Image Processing ◽  
Automatic Identification ◽  
Identification System ◽  
Automatic Identification System ◽  
Design And Implementation ◽  
Ring Number

scholarly journals Verification of the image processing system in real conditions

2021 ◽  
Vol 3 (1) ◽  
pp. 33-37
Author(s):  
Piotr Wołejsza ◽  
Jolanta Koszelew ◽  
Krzysztof Matuk ◽  
Oskar Świda
Keyword(s):  
Image Processing ◽  
Autonomous Navigation ◽  
Processing System ◽  
Automatic Identification ◽  
Identification System ◽  
Sources Of Information ◽  
Research Project ◽  
Image Processing System ◽  
Automatic Identification System ◽  
Autonomous Vessel

Autonomous Vessel with an Air Look, is a research project that aims to develop autonomous navigation of ships. The system uses three independent sources of information i.e. radar, AIS ? Automatic Identification System and cameras, which can be located on a drone or ship?s superstructure. The article presents the results of testing of an image processing system in real conditions on m/f Wolin.

Automatic Identification System Receiver for Small Fishing Vessels

2020 ◽  
Author(s):  
Febus Reidj G. Cruz ◽  
Jeremiah A. Ordiales ◽  
Malvin Angelo C. Reyes ◽  
Pinky T. Salvanera
Keyword(s):  
Automatic Identification ◽  
Identification System ◽  
Automatic Identification System ◽  
Fishing Vessels

Automatic identification system data-driven model for analysis of ship domain near bridge-waters

2021 ◽  
pp. 1-22
Author(s):  
Lei Jinyu ◽  
Liu Lei ◽  
Chu Xiumin ◽  
He Wei ◽  
Liu Xinglong ◽  
...  
Keyword(s):  
Least Squares Method ◽  
Automatic Identification ◽  
Identification System ◽  
Collision Risk ◽  
Automatic Identification System ◽  
Domain Models ◽  
System Data ◽  
Quantification Model ◽  
Highly Correlated

Abstract The ship safety domain plays a significant role in collision risk assessment. However, few studies take the practical considerations of implementing this method in the vicinity of bridge-waters into account. Therefore, historical automatic identification system data is utilised to construct and analyse ship domains considering ship–ship and ship–bridge collisions. A method for determining the closest boundary is proposed, and the boundary of the ship domain is fitted by the least squares method. The ship domains near bridge-waters are constructed as ellipse models, the characteristics of which are discussed. Novel fuzzy quaternion ship domain models are established respectively for inland ships and bridge piers, which would assist in the construction of a risk quantification model and the calculation of a grid ship collision index. A case study is carried out on the multi-bridge waterway of the Yangtze River in Wuhan, China. The results show that the size of the ship domain is highly correlated with the ship's speed and length, and analysis of collision risk can reflect the real situation near bridge-waters, which is helpful to demonstrate the application of the ship domain in quantifying the collision risk and to characterise the collision risk distribution near bridge-waters.

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