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.