Device for detecting cone-shaped object pose and sorting cone-shaped objects automatically and sorting method

Abstract

The invention discloses a device for detecting cone-shaped object pose and sorting cone-shaped objects automatically and a sorting method. The device for detecting cone-shaped object pose and sortingthe cone-shaped objects automatically comprises a motion control module, a conveying module, an image collecting module, an information processing module and an automatic sorting module. The motion control module is in signal connection with the conveying module. The conveying module is connected with the image collecting module and the automatic sorting module respectively. The information processing module is in signal connection with the image collecting module and the automatic sorting module respectively. The device and method are applicable to industrial online rapid cone-shaped object pose detection and sorting scenes; the cone-shaped objects are conveyed by using a conveying belt with baffles; a camera is triggered to take photos by a photoelectric sensor through the baffles, and the purpose of stable triggering is achieved; besides, a color-variable background plate of a specific material is used; detecting algorithm is simplified, and detecting efficiency and accuracy are improved; and through constructing of the simple-structure cone-shaped object detecting device capable of rapid detection of information such as direction and color and sorting device and through image processing technology, feature detection of relevant cone-shaped objects is conducted.

Description

technical field [0001] The invention relates to the field of industrial machine vision, and relates to the application of machine vision software and hardware in the detection of agricultural products. Specifically, it is a device and a sorting method for detecting the position and posture of cones and automatically sorting cones. Background technique [0002] In the field of industrial on-line inspection, there are situations where some cone-shaped structures are detected. These cone-shaped objects do not have a clear and distinct geometric shape, and the color and size vary greatly, such as green peppers, carrots, corn, cucumbers, etc. in fruits and vegetables. A typical detection situation is the detection of the corn direction pose. During the long-term cultivation of maize, the directional cultivation of humans and the variation of adaptation to the environment made maize form a huge family system. Corn cultivated in various places has different shapes, and there are d...

AI Technical Summary

Problems solved by technology

However, considering the different growth environments of corn, the variety of shapes and colors it exhibits also brings challenges to automatic sorting devices and algorithms.

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