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River sand stealing monitoring system and method based on machine vision

A technology of machine vision and monitoring system, which is applied in the direction of closed-circuit television system, television, instrument, etc., which can solve the problems of difficult to have high detection effect and high labor cost, so as to improve the accuracy and avoid the effect of labor cost

Pending Publication Date: 2020-03-31
FOSHAN UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0003] The way sand mining is monitored in today's market is often through the establishment of manual monitoring stations, and the monitoring of sand mining by changing guards and patrolling, which not only consumes a lot of labor costs, but also makes it difficult to have a high detection effect at night

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  • River sand stealing monitoring system and method based on machine vision

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Embodiment Construction

[0049] The idea, specific structure and technical effects of the present invention will be clearly and completely described below in conjunction with the embodiments and accompanying drawings, so as to fully understand the purpose, scheme and effect of the present invention. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The same reference numbers are used throughout the drawings to indicate the same or similar parts.

[0050] refer to figure 1 , the present invention proposes a monitoring method for stealing sand from a large river based on machine vision, including the following:

[0051] Step 110, establish a regular ship database, the legal owner of the ship registers and logs in and enters the relevant information into the regular ship database. When the entry is completed, a random and non-repetitive n-digit ship plate number is correspondingly generated...

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Abstract

The invention relates to a river sand stealing monitoring system and method based on machine vision. The method comprises the following steps: the step 110, establishing a regular ship database, registering and logging in by a legal ship holder, inputting related information into the regular ship database, correspondingly generating a random and non-repeated n-bit ship number as an ID of a ship after inputting is completed, and installing a noctilucent ship plate with the ship number on the ship; the step 120, acquiring sand field image information of m river segments by taking time t as a shooting time interval of a shooting module at an interval of threshold time T; the step 130, judging whether ships exist in the sand field of the river reach or not; and the step 131, judging whether the ship in the sand field is a regular ship or not, if yes, judging whether the ship has a sand stealing behavior or not according to the recorded sand mining amount, and if not, judging whether the ship has a sand stealing risk or not according to the ship staying time. According to the invention, the problems that a large amount of manpower cost is consumed by manual patrol and a relatively highdetection effect is difficult to achieve at night can be avoided.

Description

technical field [0001] The invention relates to the field of fire monitoring, in particular to a monitoring system and method for stealing sand from a large river based on machine vision. Background technique [0002] In recent years, with the acceleration of urban construction, the demand for river sand is increasing. Driven by interests, the phenomenon of illegal sand mining such as unlicensed mining and random mining has become very serious. At the same time, it is illegal Illegal sand mining activities have seriously affected the natural changes of the river bed in the sand mining section, and have had adverse effects on the flood control safety, ship navigation safety and ecological environment of the relevant river section. Therefore, it is very necessary to supervise the sand mining of relevant river courses. [0003] The way sand mining is monitored in today's market is often through the establishment of manual monitoring stations, and the monitoring of sand mining ...

Claims

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Application Information

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IPC IPC(8): G08B13/196H04N7/18
CPCG08B13/19602H04N7/181
Inventor 叶永俊屈莉莉
Owner FOSHAN UNIVERSITY
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