Method and system for planning cutting path based on fish body characteristics

Abstract

The invention discloses a method and system for planning a cutting path based on fish body features. The method comprises the following steps: acquiring historical fish body image data, and marking a to-be-cut part of a fish body; constructing an improved deep learning model and a classification model based on the historical fish body image data; obtaining to-be-segmented fish body image data; inputting to-be-segmented fish body image data into the improved deep learning model and the classification model to obtain a segmentation result of the to-be-segmented fish body image data; planning a cutting path according to a segmentation result of the to-be-segmented fish body image data; and cutting the to-be-segmented fish body according to the cutting path. The system comprises a historical data acquisition module, a deep learning model module, a real-time data acquisition module, a segmentation result output module and a cutting path planning module. Fish bodies are intelligently cut, the production cost is reduced, the production efficiency is improved, and standardization and normalization of processed products are achieved.

Description

technical field [0001] This application relates to the technical field of image recognition, in particular, to a method and system for planning a cutting path based on fish body characteristics. Background technique [0002] Cutting is a key process in fish pretreatment processing. At present, in the existing fish body cutting process, due to irregular raw materials, it is difficult to realize automatic and intelligent processing. In the process of fish processing, because the distance between the traditional mechanical cutters cannot be adjusted, after cutting the fish body at a large distance and at equal intervals, it is still necessary to manually cut and correct the fish fillets of different sizes. When processing a large number of raw fish, the labor intensity of workers Large, and there is an increased deviation in the size of the processed fish fillets, resulting in low production efficiency and a reduced product qualification rate. [0003] In the prior art, there...

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Problems solved by technology

[0004] The main purpose of this application is to provide a method and system for planning a cutting path based on fish body characteristics, so as to solve the problems in the prior art due to the difficulty in automatic and intelligent processing of fish body cutting, which leads to high labor intensity and low production efficiency. The problem of low and low product qualification rate

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