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
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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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