This article mainly introduces an online detection system for fabric color difference designed to objectively evaluate the surface color difference of fabrics. The system consists of a light source module, a linear array CCD program module and a computer color difference calculation module. The surface of the cloth is continuously scanned by a color linear array CCD, and the color difference is calculated in real time using the CIE1976 Lab color model. The statistical data of the color difference of the fabric is also given. As a result, it is feasible to use this aspect to monitor fabric color difference online.
In the textile printing and dyeing industry, the measurement and evaluation of the color difference on the surface of fabrics are commonly used in off-line sampling. This article uses a color linear array CCD industrial camera to capture the image of the fabric surface in real time, completes the data transmission through the Gigabit network, and completes the cloth color and standard color samples in the computer. Compare to realize online quantitative detection of color difference.
Color Difference Online Vision Detection Principle
The cloth is transmitted by the inverter control transmission system. A high-intensity linear light source is placed parallel to the width of the cloth in the direction of the width of the cloth to illuminate the surface of the cloth. The linear CCD is placed horizontally above the cloth and the industrial lens is used to complete the two-dimensional scanning of the cloth. The cloth is conveyed continuously, and the linear array CCD camera transmits the cloth surface image data collected continuously to the computer, and the color difference formula is used to calculate and evaluate the color difference in the computer.
The visual inspection system consists of a light source module, a linear array CCD imaging module and a computer color difference calculation module.
Light source module
The light source module is configured to obtain a uniform light band with a proper width and sufficient illumination on the cloth surface. In online real-time inspection, the width of the cloth is wider, and the material and surface characteristics of the cloth are different. Therefore, there is a high requirement for optical imaging. When imaging, it is necessary to consider the completeness of the imaging on the Array CCD. To ensure enough illumination, the camera system can achieve satisfactory image quality and make full use of the motion picture range of the linear CCD. Therefore, the light intensity of the light source is required to be adjustable. The system uses LED linear white light source that meets the spectral distribution of color measurement. It is equipped with a controller that can adjust the brightness.
Linear array CCD imaging module
Generally, the width of the cloth is more than 1m. The single-plane CCD imaging is limited by the field of view, and the entire fabric cannot be imaged. If multiple area array CCDs are used for imaging, the fields of view overlap each other to ensure complete imaging but redundant image data. The system is based on linear array CCD scanning imaging, which is not limited by the transfer frequency of the linear CCD frame. High detection resolution can be obtained both in the direction of the cloth sub-width and the direction of the cloth running speed.
Computer color difference evaluation module
The computer color difference evaluation module performs coordinate transformation of the acceptance model of the cloth image signal collected, and uses the color difference formula to evaluate the color difference of the cloths collected in real time.
Color difference detection is an important content of textile quality control. In order to improve production efficiency and reduce labor intensity of workers, this system adopts a color linear array CCD to continuously scan the surface of the cloth, and realizes the real-time continuous detection of the color difference of the fabric in the computer. The difference between the color difference value calculated by the online visual inspection system and the artificially observed color difference has verified the feasibility of the system to realize continuous real-time measurement of cloth.
As a research and development enterprise based on machine vision technology, Xi'an has been focused on the development of the glass fiber industry for many years, and has continuously deepened technological innovation and innovation, resulting in a number of technological patents in the industry. Such as: high-speed intelligent cloth inspection machine, industrial fabric surface defect detection system, winder broken yarn and retention weight detection device, glass fiber warp knitting machine foreign body on-line detection device, automatic appearance detection system for cops, glass fiber grid defect online Detection device, glass fiber chopped strand mat surface defect detection system, yarn group stain detection system, etc. This type of system has been widely used in industrial scenes to help companies conduct automated surface defect inspections, reduce or partially replace labor, improve product quality stability, improve product inspection accuracy and efficiency, improve enterprise automation, and transform to smart manufacturing.
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