Bottled white spirit detection method and device based on track cascade algorithm

Abstract

The invention provides a bottled white spirit detection method based on a trajectory cascade algorithm. The method comprises the following steps: establishing a suspicious object target detection deeplearning model file, and initializing a suspicious object target detection algorithm; acquiring a suspicious object target detection video image; deep learning suspicious object target detection; deep learning suspicious object target tracking; and carrying out trajectory cascade analysis on suspicious object impurities. The invention further provides a detection device. The device comprises a target detection deep learning algorithm unit, a target tracking deep learning algorithm unit and a trajectory cascade algorithm unit. According to the method, deep learning algorithms and the track cascade algorithm are combined, and the problems that in the prior art, bottled liquor detection hardware investment and equipment maintenance cost are high, moving bubbles are prone to being detected bymistake, and the deep learning algorithms have limitation are solved. Through a new track cascade analysis algorithm, the influence of bottle body traces, bubbles and the like is accurately eliminated, the accuracy of white spirit impurity detection is greatly improved, and the cost performance of the product is very high.

Description

technical field [0001] The invention is applied to the technical field of impurity detection of transparent bottled liquor on an industrial production line, and in particular relates to a detection method and a detection device for bottled liquor based on a trajectory cascade algorithm. Background technique [0002] China's wine culture has a long history, rich connotations, extensive and profound, and is an important part of Chinese traditional culture. Nowadays, liquor has a high consumption demand in people's life, and the market scale is vast. There are also many manufacturers in China's liquor industry. With the improvement of living standards, consumers must have higher and higher requirements for the quality of liquor. In the bottled liquor production line in traditional industries, the quality inspection of bottled liquor often relies on manual light inspection. The disadvantage of human eye inspection must be high labor costs, and human eye fatigue is prone to omis...

AI Technical Summary

Problems solved by technology

[0008] In order to solve the problems existing in the prior art, the present invention proposes a detection method and detection device for bottled liquor based on the trajectory cascading algorithm. Problems with limitations of impurities and deep learning algorithms

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