A video surveillance system and method based on image recognition

Abstract

The embodiment of the present invention discloses a video monitoring system and method based on image recognition, wherein the system includes: a plurality of network cameras for collecting images of aeration machines in aquaculture farms; an image processing server for Receive the image of the aerator collected by the network camera, perform image recognition, judge the working status of the aerator, and perform corresponding processing according to the working status of the aerator. In the embodiment of the present invention, by automatically collecting and using real-time images of network cameras deployed in aquaculture farms, analyzing the working conditions of the aerators in the images, and judging whether the aerators have failed and shut down, it can replace traditional manual inspections and can Monitor the working status of the aerator, reduce the deployment cost of the system and the operating cost of the aquaculture farm, and facilitate system maintenance.

Description

technical field [0001] The invention relates to the technical field of aquaculture farm monitoring, in particular to a video monitoring system and method based on image recognition. Background technique [0002] Like other animals, the survival of aquatic products such as fish, shrimp and crab in water also needs oxygen. Unlike terrestrial poultry and livestock, since aquatic products are raised in fish ponds or breeding ponds, they are in relatively independent and closed water bodies, and the oxygen content in the water needs to be adjusted with equipment. Aquatic products can survive only when the oxygen content in water reaches a certain value, and within a certain range of oxygen content, the growth rate and feed utilization rate of aquatic products increase with the increase of oxygen content in water. If the oxygen content in the fish pond water body is too low, there will be a phenomenon of large-scale death of aquatic products. Therefore, in high-density aquatic p...

AI Technical Summary

Problems solved by technology

With the addition of water temperature sensors, pH sensors, collection nodes, controllers and other equipment, the cost of system deployment is relatively high

[0007] 2. Maintenance is more cumbersome

[0008] 3. Lack of judgment on the working condition of the aerator

Most systems control the start and stop of the aerator based on the collected environmental data, and cannot monitor the working status of the aerator

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