Underwater fry, young shrimp and young crab quantity estimating and behavior monitoring device and method based on computer vision

A computer vision and monitoring device technology, applied to computer parts, calculation, counting objects, etc., can solve the problems of inapplicable biological monitoring of large water bodies

Active Publication Date: 2014-04-30
NINGBO UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this device is only suitable for observation of small water bodies, not for high-density biological monitoring of large water bodies

Method used

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  • Underwater fry, young shrimp and young crab quantity estimating and behavior monitoring device and method based on computer vision
  • Underwater fry, young shrimp and young crab quantity estimating and behavior monitoring device and method based on computer vision

Examples

Experimental program
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Effect test

specific Embodiment 1

[0045] A computer vision-based underwater fish, shrimp, and crab population estimation and behavior monitoring device, such as figure 1 As shown, it includes several fixed pulleys 1, a main stainless steel wire rope 2, a two-way hoist 3 for controlling the movement of the main stainless steel wire rope 2 along the fixed pulley 1, a video acquisition device 4 for counting and monitoring the behavior of fish, shrimp and crab fry, The motor 6 that is wound with rope 5 and the float 7 that is used to fix motor 6, fixed pulley 1 is evenly distributed on the sidewall of seedling pond 8, and main stainless steel wire rope 2 is erected on the seedling pond 8 by each fixed pulley 1 and its two The end is tied on the two-way winch 3, the bottom of the video capture device 4 is provided with a weight 9, the motor 6 is connected with the video capture device 4 through a rope 5 and the depth of the video capture device 4 in the water is controlled by controlling the retraction of the rope ...

specific Embodiment 2

[0051] A method for estimating the number of underwater fish, shrimp and crab larvae based on computer vision, the specific steps are as follows:

[0052] (1) Put the computer vision-based underwater fish, shrimp and crab seed quantity estimation and behavior monitoring device in the above specific embodiment 1 into the nursery pond, driven by a two-way winch and a motor, and control the video acquisition device to shoot in different directions and in different water layers Seedlings, get the video image, and transmit it to the computer through the network cable;

[0053](2) Preprocessing the video image collected in step (1) by computer image processing technology, that is, increasing the contrast and removing blur and noise;

[0054] (3) Segment the image preprocessed in step (2) using a local threshold method to obtain a binary image;

[0055] (4) Perform morphological processing on the binary image obtained in step (3), that is, first smooth the outline of the object thro...

specific Embodiment 3

[0060] A computer vision-based underwater seedling behavior monitoring method, the specific steps are as follows:

[0061] (1) Put the computer vision-based underwater fish, shrimp and crab seedling quantity estimation and behavior monitoring device in the above-mentioned specific embodiment 1 into the nursery pond, turn on the light-induced light source for 5-20 seconds, and simultaneously drive and control the video acquisition by the two-way hoist and motor The device shoots seedlings in different directions and in different water layers, obtains video images of bio-accumulation during the period when the light-induced light source is turned on, and transmits the video images to the computer for processing through the network cable;

[0062] (2) Preprocessing the video image obtained in step (1) by computer image processing technology, that is, increasing contrast and removing blur and noise;

[0063] (3) Segment the image preprocessed in step (2) using a local threshold me...

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Abstract

The invention discloses an underwater fry, young shrimp and young crab quantity estimating and behavior monitoring device and method based on computer vision. The device is characterized in that the device comprises a two-way winch, a motor, a floater and a video collecting device, wherein the two-way winch and the motor are used for driving the video collecting device to carry out all-dimensional and different-water-level sampling in a nursery pond, the floater is used for bearing the motor, and the video collecting device is used for collecting young videos of fry, young shrimps and young crabs. The method comprises the following steps that the video collecting device is arranged in water and is respectively driven by the two-way winch and the motor to collect the videos of the fry, the young shrimps and the young crabs in the nursery pond, and the quantity and the density of the fry, the young shrimps and the young crabs in the whole nursery pond are estimated by using an image processing technology according to collected fry, young shrimp and young crab images of different water levels and different dimensions; a light inducing light source is turned on, and the shot videos are used in the image processing technology to calculate the swimming speed of targets and a cluster center coordinate to reflect the moving capability and light inducing capability of the fry, the young shrimps and the young crabs. The underwater fry, young shrimp and young crab quantity estimating and behavior monitoring device has the advantages of being simple in structure, wide in monitoring range, convenient to use and high in accuracy, and is suitable for biological quantity estimation and behavior monitoring on the nursing state of automated aquaculture.

Description

technical field [0001] The invention relates to an underwater fish, shrimp and crab fry measuring device, in particular to a computer vision-based underwater fish, shrimp and crab fry quantity estimation and behavior monitoring device and method. Background technique [0002] In the process of artificial breeding of aquaculture seedlings, the number statistics and density estimation of seedlings have a good guiding role in the control of breeding density, the evaluation of seedling survival rate, scientific feeding and seedling sales, and are an important link in the realization of automated aquaculture and management. During the breeding process, by monitoring biological behavior, identifying the development status of organisms, and taking corresponding control measures, the survival rate of products can be improved and the risk of breeding can be reduced. The traditional method of estimating the number of aquatic seedlings and monitoring their behavior generally adopts the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06M11/00G06K9/00
Inventor 徐建瑜郝明珠王春琳蒋霞敏张超
Owner NINGBO UNIV
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