Trolley parcel position detection method based on deep learning

A technology of deep learning and detection method, which is applied in the field of car package position detection based on deep learning, can solve the problem of wrong classification of packages at the colliding sorting port, and achieve the effect of ensuring stability and accuracy and reducing the rate of wrong classification

Pending Publication Date: 2021-10-26
WAYZIM TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0003] At present, in the existing cross-belt sorting technology, there are common problems of package collision and package misclassification at the sorting port.

Method used

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  • Trolley parcel position detection method based on deep learning

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Embodiment Construction

[0029] The present invention will be further described below in conjunction with specific drawings and embodiments.

[0030] Such as figure 1 Shown: In order to ensure the stability and accuracy of the detection results, the method for detecting the position of the car package of the present invention includes the following steps:

[0031] Step S1, acquiring the image of the delivery car in real time;

[0032] Specifically, the transfer trolley can be in a commonly used form, and the image of the transport trolley can be collected and acquired through a camera installed above the transmission trolley, wherein, when the photoelectric detection switch detects the transmission trolley, a trigger signal is sent to the detection controller to The detection controller triggers the camera to take pictures, so as to obtain the image of the conveying car; or the detection controller sets the frame rate information to trigger the camera at regular intervals, so as to obtain the image o...

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Abstract

The invention relates to a trolley parcel position detection method, in particular to a trolley parcel position detection method based on deep learning. According to the technical scheme provided by the invention, the dolly parcel position detection method based on deep learning comprises the following steps: step S1, acquiring an image of a transfer dolly in real time; S2, carrying out required preprocessing on the obtained image so that an ROI area in the obtained image can be obtained, wherein the ROI area comprises an organ plate area and a belt surface area; and S3, utilizing a deep learning method to detect the obtained ROI so as to obtain the position information of the parcel on the conveying trolley, wherein a target detection model based on YOLO is adopted in the deep learning method.

Description

technical field [0001] The invention relates to a method for detecting the position of a car package, in particular to a method for detecting the position of a car package based on deep learning. Background technique [0002] In recent years, with the blowout development of e-commerce, the business volume of the express delivery industry has grown geometrically. The efficiency of express delivery sorting directly affects the speed of logistics distribution and the effect of enterprise management. The cross-belt sorting system includes a main drive belt conveyor and a trolley composed of a small belt conveyor (referred to as "transfer trolley"). When the conveyor trolley moves to the specified sorting position, it rotates the belt to realize the separation Pick up sent tasks. Because the main drive belt conveyor and the belt output machine on the transfer trolley are in a cross shape, it is called a cross belt sorter. [0003] At present, in the existing cross-belt sorting ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/73G06T7/136G06T7/11G06N3/04G06N3/08
CPCG06T7/73G06T7/136G06T7/11G06N3/08G06T2207/20081G06T2207/20084G06T2207/20104G06T2207/30268G06N3/045
Inventor 唐金亚张凯中
Owner WAYZIM TECH CO LTD
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