10 results about "Fish weight" patented technology

The application discloses an intelligent fish protection and fish returning method and system based on deep learning, which obtains fish body images and total weight information, adopts an object recognition model to analyze fish body contour feature vectors in real time, and obtains detection quantity and species results by fusing total weight data; then, a fusion model is used to process multi-modal fusion of contour size and total weight data to determine single fish weight distribution, and if the deviation exceeds a threshold value, the feature weight is iteratively adjusted to obtain an accurate single fish weight value; subsequently, data transmission generates a visual interface, a fish returning instruction sequence is triggered according to user selection, a local processing unit executes an opening operation and records the number, weight and timestamp of the fish returned, and an encrypted log file is formed; finally, log analysis judges environmental compliance parameters and updates behavior records. The application realizes accurate and automatic management of fish catching, improves the efficiency of fishing activities and environmental sustainability, and ensures the integrity of compliance behavior feedback.

The invention discloses an automatic feeding device with binocular vision feedback for fish weight evaluation on a mariculture work ship, which is characterized by comprising an automatic feeding mechanism, a limiting cylinder wall, a binocular vision feedback system, a data connection module and a central controller, the limiting cylinder wall is of a vertically-arranged hollow cylindrical structure, the lower portion of the limiting cylinder wall is submerged into aquaculture water, and the upper portion of the limiting cylinder wall is exposed out of the water surface and used for enclosing floating feed to form a gathering area. The binocular vision feedback system comprises a group of binocular cameras which are fixedly mounted on the inner wall surface of the underwater part of the limiting cylinder wall, the field angle of the binocular cameras covers a water area enclosed by the limiting cylinder wall, and the binocular cameras are used for collecting images of fish schools in the culture cabin. The problem that the image analysis effect of the open water area in the mariculture work ship is poor is effectively solved; the feed utilization rate and the culture economic benefit are remarkably improved, and reliable equipment support is provided for intelligent and refined development of aquaculture of the mariculture industrial ship.

The utility model relates to the technical field of fish sinkers, and discloses a novel bottom-hanging-prevention fish sinker which comprises a first sinker body and a second sinker body. The first pendant body and the second pendant body are arranged on the two sides respectively and connected through a connecting column. A circular ring and an elastic metal sheet; a circular ring is arranged on the connecting column in a sleeving mode, a first connecting rod is arranged on one side of the circular ring, an elastic metal sheet is fixedly arranged at the other end of the first connecting rod, and the first connecting rod is bent in an S-shaped curve mode. Compared with the prior art, the novel anti-bottom-hanging fish weight has the advantages that when the novel anti-bottom-hanging fish weight is provided, when the fish weight is hung at the bottom, the whole fish weight takes the connecting column as the rotating center, the lever effect is generated to achieve 180-degree overturning movement, the whole fish weight is separated from the original clamping position, and finally smooth recovery of a whole fishing tackle group is achieved; and the fish sinker can be separated from an obstacle through elastic deformation, the bottom hanging prevention effect is good, meanwhile, the overall structure is simple, and use is flexible and convenient.

Provided is a fish size calculation device and method, and a non-transitory computer-readable medium. The target size calculation device includes: a transceiver (22) that transmits a transmission wave to an underwater target and generates an echo signal based on reflection of the transmission wave on the underwater target; a fish tracking unit (25) that tracks a fish among underwater targets over time based on the echo signal due to the different transmission waves; an ultrasonic incidence angle calculation unit (26) that calculates an ultrasonic incidence angle of the transmission wave on the tracked fish for each position of the tracked fish based on the echo signal; a distance calculation unit (27) that calculates a distance between a swim bladder of the tracked fish and a second body part of the tracked fish for each position of the tracked fish based on the echo signal of the tracked fish; and a fish weight calculation unit (30, 901) that calculates a weight of the tracked fish based on the ultrasonic incidence angle and the calculated distance.

The invention discloses an intelligent fish protector fish weighing and returning method and system based on deep learning, and the method comprises the steps: obtaining a fish body image and total weight information, employing an object recognition model to analyze a fish body contour feature vector in real time, and fusing the total weight data to obtain a detection number and a species result; processing the multi-modal fusion of the contour size and the total weight data by using a fusion model, determining the weight distribution of the single fish, and if the deviation exceeds a threshold value, iteratively adjusting the feature weight to obtain an accurate weight value of the single fish; then transmitting data to generate a visual interface, triggering a fish return instruction sequence according to the selection of a user, executing an opening operation by a local processing unit, and recording the return quantity, weight and timestamp to form an encrypted log file; and finally analyzing the log, judging environment compliance parameters and updating behavior records. According to the invention, accurate and automatic management of fish fishing is realized, the fishing activity efficiency and environment sustainability are improved, and the completeness of compliance behavior feedback is ensured.

The invention provides a dynamic comprehensive monitoring management method and system for deep-sea culture. The method comprises the following steps: S1, parameter determination: determining natural parameters, assessment index parameters and management parameters related to a water body in a culture area; s2, a prediction model is established, wherein the prediction model comprises the change relation of the temperature T along with the time t in the breeding period Z; establishing a correlation function to obtain a fish school number, a single fish body weight and a fish total biomass related to the time t; determining the feeding amount; establishing a function relationship among the natural parameters, the management parameters and the environment index parameters, and obtaining a function relationship between the environment index parameters and time t; s3, monitoring temperature and water quality parameters in real time, and inputting the parameters into the prediction model; calculating the prediction model to obtain a change relation of assessment index parameters along with time; s4, based on the change relation of the assessment index parameters along with time, breeding management is carried out, and management parameters are adjusted.

This invention discloses a ReID method for tracking individual fish underwater. The method involves acquiring underwater images containing multiple individual fish, using a segmentation network model to obtain the Region of Interest (ROI) corresponding to each individual fish in the underwater image, extracting texture feature vectors from each ROI using the LBP algorithm, extracting global feature vectors from each ROI, and then weighted and fused these global feature vectors with the corresponding texture feature vectors to obtain a fused feature vector. Using the fused feature vector as input, a supervised contrastive learning method is used to train the recognition model. During the inference phase, steps one to three are repeated to obtain the fused feature vectors corresponding to each individual fish in the image to be detected. Using these fused feature vectors as input, the trained recognition model generates normalized feature vectors corresponding to each individual fish. By calculating the cosine similarity between the normalized feature vector and the feature vector of the historical identity template, individual fish weight recognition is achieved.

This application relates to the field of fish processing and screening equipment, specifically a live fish processing and grading device. The device includes an adjacent conveyor platform and a weighing platform. The conveyor platform consists of a support frame and a conveyor belt. A first drive motor is mounted on the support frame to drive the conveyor belt. Several equidistantly arranged receiving frame assemblies and screening mechanisms are located on both sides of the conveyor belt, with each receiving frame assembly and screening mechanism corresponding to the other. The screening mechanism pushes the weighed fish from the conveyor belt into the corresponding receiving frame assembly based on the weight measured by the weighing platform. A fish frame is located below each receiving frame assembly. After the fish is weighed, a pusher plate corresponding to the fish weight rotates under the drive of a first servo motor, causing the weighed fish to be intercepted by the pusher plate and transported to the corresponding receiving frame assembly. This achieves the effect of grading and screening the fish based on weight, facilitating subsequent grading, processing, and sales without the need for manual screening, thus improving the efficiency of fish grading and screening.

1. The name of the design product: fish bag. 2. The use of the design product: for outdoor fish bag, outdoor fish weight. 3. The design points of the design product: in the combination of shape and pattern. 4. The picture or photo that can best show the design points: perspective view. 5. The right view is the same as the left view, and the right view is omitted; the rear view is the same as the front view, and the rear view is omitted.

To determine the body length of a fish with high accuracy and calculate the weight of the fish from the body length.SOLUTION: A fish weight measurement method has an imaging device and an ultrasonic transmitter / receiver in which the imaging direction and the ultrasonic transmission direction are the same and the ultrasonic transmission timing and the imaging timing are synchronized, and uses the echo obtained by the ultrasonic transmitter / receiver to determine the distance between the imaging device and a reference point of the fish area in image data of the imaging device, determines a body length of the fish from the image of the fish in the image data of the imaging device and the distance, and uses the body length to determine the fish weight.SELECTED DRAWING: Figure 7