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Intelligent identification system and method for building material categories

A technology for building materials and intelligent identification, applied in the field of intelligent identification, can solve problems such as difficult to accurately identify building materials, achieve the effects of reducing the impact of light, improving the recognition effect, and improving the accuracy rate

Pending Publication Date: 2020-04-17
贵州黔岸科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention provides an intelligent identification system and method for building material categories, which solves the technical problem that the existing cargo image recognition system is difficult to accurately identify building materials in an environment with poor lighting conditions

Method used

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  • Intelligent identification system and method for building material categories

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Embodiment 1

[0019] The embodiment of the intelligent identification system for the category of building materials in the present invention is basically as attached figure 1 As shown, it includes: collection module, preprocessing module, extraction module, clustering module, identification module, feedback module, storage module, learning module and output module.

[0020] The collection module is a CMOS image sensor, which collects the texture on the building material and sends the image to the preprocessing module. After the preprocessing module receives the image, it uses the Gaussian filter algorithm to denoise the image, and sends the denoised image to the feature extraction module.

[0021] After the feature extraction module receives the image, it extracts the LBP texture feature of the image. Concrete steps: step 1, obtain the basic local binary mode of each pixel of the window. Step 2, circularly shift the binary string to the right to obtain all possible values, and take the mi...

Embodiment 2

[0025] Compared with Embodiment 1, the only difference is: it also includes a storage module, a learning module and a feedback module. The storage module is used to store the results of matching and recognition, and provide learning samples for the matching of texture features, so that the system can adaptively analyze new samples of building materials, thereby improving the accuracy of recognition. The learning module extracts the matching and recognition results in the storage module for learning, optimizing the efficiency and accuracy of matching. Through learning, the error of matching is corrected, and the accuracy of recognition is improved. The feedback module modifies the matching process through negative feedback. When the matching error is greater than the preset threshold, the matching is performed again until the error is smaller than the preset threshold. In this way, the matching result is fed back, so that the matching process is continuously corrected, and th...

Embodiment 3

[0027] Compared with Embodiment 1, the only difference is that: it also includes a pressure sensor and a 3D camera. The pressure sensor is placed under the building material and connected to the identification module via a wireless network. The pressure sensor is used to measure the weight of the building material, and send the measured weight data of the building material to the identification module through the wireless network. The 3D camera is installed in the warehouse for storing construction materials, and is connected with the identification module through a wireless network. The 3D camera is used to capture the length, width and height of building materials, and send the captured data of the length, width and height of building materials to the recognition module (refer to the document "High-precision Camera Calibration Algorithm in 3D Measurement System") . In addition, the pressure sensor is also installed on the transport tool, and the pressure sensor obtains the...

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Abstract

The invention relates to the field of intelligent identification, in particular to an intelligent identification system and method for building material categories, and the system comprises an acquisition module which is used for acquiring images of building material; a preprocessing module which is used for preprocessing the acquired images; an extraction module which is used for extracting texture features of preprocessed images; a recognition module which is used for matching with a database according to the extracted textural features and recognizing the textural features; and an outputmodule which is used for outputting an identification result. By extracting the texture features, the influence of illumination in the building material recognition process is reduced, and the recognition effect under the condition that illumination changes drastically is improved.

Description

technical field [0001] The invention relates to the field of intelligent identification, in particular to an intelligent identification system and method for building material categories. Background technique [0002] Currently, real estate is booming, and the demand for construction materials is also surging. In order to ensure the supply and sales of building materials, all major building material companies are equipped with large enough warehouses. Large-scale building material warehouses store a variety of building materials, and it is difficult for managers to keep up with the production speed of the company through manual inspection and classification, which also brings great work pressure to the staff. In this regard, document CN108229370A discloses a warehouse cargo intelligent identification system based on cargo image recognition technology, including a data input module, a data storage module, an analysis and comparison module, a phase collection module, an outpu...

Claims

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Application Information

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IPC IPC(8): G06F16/583G06T7/44G06K9/62G06Q10/08
CPCG06F16/5862G06T7/44G06Q10/0875G06F18/23Y02P90/30
Inventor 杨玉然
Owner 贵州黔岸科技有限公司
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