Article taking and placing detection system, method and device

Abstract

The invention discloses an article taking and placing detection system, method and device. The article pick-and-place detection system comprises an article pick-and-place cabinet, an image acquisitionunit and a pick-and-place detection unit, markers are arranged on the edge of an entrance of the article taking and placing cabinet. The image collecting unit is used for collecting images of the entrance of the article taking and placing cabinet. And the pick-and-place detection unit is connected with the image acquisition unit and is used for carrying out article pick-and-place detection basedon the marker information in the image acquired by the image acquisition unit. The marker is arranged at the edge of the entrance and exit of the article taking and placing cabinet, the marker information in the entrance and exit image of the article taking and placing cabinet is detected, article taking and placing detection is carried out based on the detection result, target article detection and tracking are not needed, the requirements for scenes and target articles are reduced, and frequent changing scenes and taking and placing at any speed can be coped with; detection robustness is high. In addition, pick-and-place detection is carried out through the marker information, so that the authenticity and the accuracy of the detection pick-and-place operation are improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of image processing, and in particular to a system, method, and device for pick-and-place detection of objects. Background technique [0002] With the development of artificial intelligence, pick-and-place cabinets are gradually being widely used. For example, the item access cabinet can be used to store items, and when there is a demand for access, take out the item from the item access cabinet or put the item into the item access cabinet. Therefore, how to realize the pick-and-place detection of items is a relatively critical issue. [0003] In related technologies, the deep learning network is used to recognize the user's action posture or detect the target item frame by frame to realize the tracking of the target item and achieve the purpose of item pick-and-place detection. [0004] However, this type of method uses a deep learning network for video data analysis, which req...

AI Technical Summary

Problems solved by technology

[0004] However, this type of method uses a deep learning network for video data analysis, which requires a large amount of calculation, and the computing resources are often deployed on cloud servers. The large amount of video transmission data results in low detection efficiency, high requirements for transmission bandwidth, and high deployment costs.

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