Recognition counting detection algorithm for circle-like objects based on machine vision and deep learning

Abstract

The invention discloses a circle-like object recognition and counting detection algorithm based on machine vision and deep learning, which includes adopting an industrial camera to collect the vertical section image of the filter rod object to be counted; The FindContours() function obtains the region of interest of the filter stick object; cuts the obtained region of interest into a A*A pixel submap; puts the obtained a A*A pixel submap into the improved SAA‑unet model Carry out training; The a A*A pixel subgraphs that have been trained are restored, and the region of interest is regained; the region of interest that is regained is carried out to the counting of the filter stick object, and the present invention adds SAA-unet mathematical theory, The counting detection method based on the principle of structural construction to improve the efficiency of detection is more efficient and intelligent, and solves the problems of high-intensity manual counting, low work efficiency, large errors and other error-prone problems. The accuracy of the algorithm is as high as 98.7%.

Description

technical field [0001] The invention relates to a recognition, counting and detection algorithm, in particular to a recognition, counting and detection algorithm for circle-like objects based on machine vision and deep learning. Background technique [0002] Filter rod objects are ubiquitous in life, such as rods, medicines, cigarette packing, etc. This filter rod object inevitably needs to be counted in daily life; at present, for the boxed filter rod object technology, manual direct counting or no detection is often adopted, and the counting method using manual direct detection method is labor-intensive, easy to fatigue the eyes, and has low counting accuracy , and the error varies from person to person. Especially when testing a large number of filter rods, severe vision deterioration and inattention discomfort may occur to inspectors, which will definitely damage their counting accuracy and worker health; due to stability, accuracy and cheap The advantages of machine v...

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: for the deficiencies in technology, the purpose of the present invention is to provide a circle-like object recognition and counting detection algorithm based on machine vision and deep learning based on machine vision and deep learning, and optimize the counting and detection method of CN 106529551 A, which is more Efficient and intelligent, solving the problems of high-intensity manual counting, low work efficiency, large errors and other error-prone problems in the existing technology

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