Portable ship water gauge automatic detection and identification method based on machine vision

Abstract

The invention provides a portable ship water gauge automatic detection and identification method based on machine vision. Video data of a ship water gauge in the overwater environment are used as a main research object, the machine vision and the image processing theory are used as main means, so as to detect and identify the scale of the ship water gauge and perform statistical analysis on detection results of continuous video frames, and finally, a ship draft value is obtained. According to the system, the relatively objective ship draft value can be obtained in accordance with image data, the detection results are visually displayed, the workload of ship draft detection personnel can be reduced, the measurement stability and accuracy of the ship water gauge are increased, and an objective measuring means and reference data are provided for determining ship draft.

Description

technical field [0001] The invention relates to image processing technology, in particular to a machine vision-based automatic detection and recognition method for a portable water gauge of a ship. Background technique [0002] As a means of transportation, ships play an important role in the transportation industry. The ship's draft gauge is widely used at home and abroad to measure the weight of large and cheap bulk cargoes transported by ships. At the same time, it is one of the important methods for the weight identification of import and export commodities, and it is also the main task of the national entry-exit inspection and quarantine department and foreign shipping agency companies. One, the basis of ship load calculation is the measurement of ship draft. The accuracy of ship draft measurement determines the accuracy of ship cargo calculation. At the same time, the weighing results can be used as the basis for commercial disputes, such as the transfer and settleme...

AI Technical Summary

Problems solved by technology

However, visually measuring the size of the ship's waterline has many disadvantages: the range of observation points is small and few, and statistical principles cannot be used to process the data; the observed data cannot be checked and corrected afterwards due to lack of detailed records, which may There are hidden major errors; it is greatly affected by the ability and status of personnel, the measurement time is long, and the cost is high; it is greatly affected by the weather environment; the observation needs to be carried out on board, and it cannot be applied to the rapid departure detection of the channel management department requirements

However, the current water gauge detection methods based on image processing are mostly focused on the acquisition and processing of images, and less involved in the identification of scales and the judgment of ship drafts, and basically rely on manual observation of image processing results to give ship draft values

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