Quality Inspection System Based on Multispectral Image Acquisition Technology

Abstract

The invention discloses a quality detection system based on multispectral image acquisition technology, which relates to the field of spectrum technology. The quality detection system is constructed based on a multispectral camera, which can take pictures of samples in a relatively short period of time to obtain multispectral images. Combined with the conveying device, the 360° all-round image acquisition of the sample can be achieved, so that the complete information of the sample can be quickly obtained; the control device is based on a new band calculation method to enhance the quality characteristic area, so as to effectively detect the segmented area to achieve quality detection, and the operation is simple. It is fast and effective, and the calculation amount of the band calculation method is small, which can meet the requirements of online detection and has strong real-time performance.

Description

technical field [0001] The invention relates to the field of spectrum technology, in particular to a quality detection system based on multi-spectral image acquisition technology. Background technique [0002] At present, in all walks of life, in order to ensure the quality of products, it is usually necessary to conduct quality inspections on products. The current common quality inspection methods mainly include machine vision, thermal imaging technology, nuclear magnetic resonance technology, and hyperspectral image inspection methods. [0003] Traditional inspection methods such as machine vision can identify the size and shape of products in quality inspection, but it is difficult to detect internal quality. Although thermal imaging and nuclear magnetic resonance technology can reflect the internal properties of the product, the detection method is complicated and the detection cost is high, which is not conducive to popularization and application. The push-based hypers...

AI Technical Summary

Problems solved by technology

[0003] Traditional inspection methods such as machine vision can identify the size and shape of products in quality inspection, but it is difficult to detect internal quality

Although thermal imaging and nuclear magnetic resonance technology can reflect the internal properties of the product, the detection method is complicated and the detection cost is high, which is not conducive to popularization and application

The push-based hyperspectral imaging technology implements a line scan method, and the scanning speed is slow, which is not conducive to real-time detection

Moreover, traditional detection methods are always based on one angle of the product. Research on the entire product under this angle is easily affected by factors such as small quality characteristic area and inconspicuous quality characteristics, and the detection accuracy is not high.

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