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Object volume visual measurement method combining target detection and depth calculation

A target detection and depth calculation technology, applied in the field of object volume visual measurement, can solve the problems of algorithm implementation method and AI use, etc., and achieve the effect of reducing susceptibility to environmental noise interference, increasing application scenarios, and reducing data processing capacity.

Active Publication Date: 2020-12-11
SHANGHAI DIANJI UNIV
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  • Application Information

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Problems solved by technology

However, the invention focuses on hardware design, and does not describe the specific implementation method of the algorithm and the use of AI

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  • Object volume visual measurement method combining target detection and depth calculation
  • Object volume visual measurement method combining target detection and depth calculation
  • Object volume visual measurement method combining target detection and depth calculation

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Embodiment Construction

[0019] Attached below Figure 1-3 The present invention is further illustrated with specific examples.

[0020] Such as Figure 1-3 As shown, a visual measurement method of object volume combined with target detection and depth calculation, including:

[0021] The data collection step is to take images and collect distance information through a depth camera;

[0022] In the target detection step, the YOLO model is used to train the measured object and realize the detection of the measured object, which not only realizes the preliminary determination of the image pixel area where the object is located, but also avoids the existence of other similarly shaped objects from interfering with the measurement results;

[0023] The image processing step is to process the detected image to obtain pixel coordinate information required for calculation;

[0024] In the volume calculation step, the corresponding depth value is obtained according to the pixel coordinate information obtain...

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Abstract

The invention discloses an object volume visual measurement method combining target detection and depth calculation, and the method comprises the following steps: data collection: carrying out the photographing of an image and the collection of distance information through a depth camera; a target detection step: training the measured object by using the YOLO model, and realizing the detection ofthe measured object; an image processing step: processing the detected image to obtain pixel coordinate information required by calculation; and a volume calculation step of obtaining a correspondingdepth value according to the pixel coordinate information obtained in the image processing step so as to measure the size of the object. The depth information (distance information) of a specified pixel point is acquired through image shooting of the depth camera and recognition and sorting of the AI model, and measurement of volume information of an object is realized through image processing andcalculation.

Description

technical field [0001] The invention relates to the technical field of machine vision, in particular to an object volume vision measurement method. Background technique [0002] Patent Publication No. CN111307037A collects point cloud data through the 3D camera on the device, and obtains the size information of the object by taking pictures on both sides of the object. However, the invention itself is still a device mainly operated by humans, which does not meet the new requirements for automation of the modern express logistics industry. Patent Publication No. CN110782473A compares the depth images of two adjacent frames by giving a fixed detection area, and then judges whether there is an object to be detected. Based on this judgment, the depth information in the image is further extracted to calculate the volume of the object. The present invention solves the problem of detecting passing objects on a conveyor belt, but the application scene is too single and requires a ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/13G06T7/136G06T7/55G06T7/62G06T7/80G06T17/00G01B11/00G01B11/22
CPCG06T7/0004G06T7/13G06T7/136G06T7/55G06T7/62G06T7/80G06T17/00G01B11/00G01B11/22G01B11/002G06T2207/10028G06T2207/20081G06T2207/20028
Inventor 孙毅黎明宗兆翔计春雷
Owner SHANGHAI DIANJI UNIV
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