A data acquisition method and system based on computer vision technology

A computer vision and data acquisition technology, applied in the field of computer vision, can solve the problems of low image data accuracy, low efficiency, long data acquisition time, etc.

Active Publication Date: 2021-05-18
北京三维天地科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the current collection of image data is usually obtained by manual collection, which not only results in long data collection time and low efficiency, but also high labor costs, resulting in low accuracy of the collected image data. Therefore, the present invention proposes a computer vision-based Data collection method and system for

Method used

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  • A data acquisition method and system based on computer vision technology
  • A data acquisition method and system based on computer vision technology
  • A data acquisition method and system based on computer vision technology

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Experimental program
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Embodiment 1

[0075] The invention provides a data acquisition method based on computer vision technology, such as figure 1 shown, including:

[0076] Step 1: Obtain the target object identified by the computer, and take pictures of the target object to obtain the target image;

[0077] Step 2: Train the target image in a preset convolutional neural network, and store the training result in the data acquisition model;

[0078] Step 3: Based on computer vision technology and the data collection model, identify, analyze and collect the data of the target image.

[0079] In this embodiment, the convolutional neural network is a feed-forward neural network, and the artificial neurons can respond to surrounding units, and can perform large-scale image processing. The convolutional neural network includes a convolutional layer and a pooling layer, where the type of the convolutional neural network can be a one-dimensional convolutional neural network, a two-dimensional convolutional neural netw...

Embodiment 2

[0086] On the basis of Embodiment 1, the present invention provides a data collection method based on computer vision technology. After acquiring the target object identified by the computer, and before taking pictures of the target object, it also includes:

[0087] Determining the effective information of the target object based on the gray matrix texture, and determining the location characteristics of the target object based on the Euclidean distance mapping method;

[0088] Preprocessing the location features of the target object and the effective information to obtain processing information;

[0089] Establishing an analysis file, and using the analysis file to analyze and process the processing information, so as to mark each element point in the target object;

[0090] Mark each element point in the target object, and obtain the mark result of the element point;

[0091] Evaluate the marking results of the element points based on the preset evaluation indicators, and ...

Embodiment 3

[0105] On the basis of embodiment 2, the present invention provides a kind of data collection method based on computer vision technology,

[0106] The effective information includes: the color of the target object, the texture window of the target object, the target angle, the grayscale texture of the target, and the color texture features.

[0107] The beneficial effect of above-mentioned technical scheme is:

[0108] Through the acquisition of effective information, the target object can be accurately analyzed, and the high efficiency of target image acquisition can be achieved.

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Abstract

The present invention provides a data collection method and system based on computer vision technology, comprising: obtaining a target object identified by a computer, and taking pictures of the target object to obtain a target image; training, and store the training results in the data acquisition model; based on the data acquisition model described in computer vision technology, the data of the target image is identified, analyzed and collected; by acquiring the target image and training it through a convolutional neural network, it can be based on the training As a result, accurate and efficient data analysis and collection are effectively achieved through computer vision technology and data collection models.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a data acquisition method and system based on computer vision technology. Background technique [0002] Image data acquisition is an intelligent detection technology that collects and analyzes the image data of the detected object to detect the detected object. [0003] However, the current collection of image data is usually obtained by manual collection, which not only results in long data collection time and low efficiency, but also high labor costs, resulting in low accuracy of the collected image data. Therefore, the present invention proposes a method based on computer vision technology. data collection method and system. Contents of the invention [0004] The present invention provides a data collection method and system based on computer vision technology, which is used to accurately analyze and collect data of a target image through computer vision technology....

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06T7/73G06T7/62
CPCG06T7/73G06T7/62G06T2207/20081G06T2207/20084G06V20/10G06V10/56G06N3/045G06F18/23213G06F18/214
Inventor 王兆君金震张京日康进港
Owner 北京三维天地科技股份有限公司
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