NEW GENERATION AUTOMATIC FABRIC LAYING MACHINE WITH CAMERA-CONTROLLED AND ADJUSTABLE ANGLE LED LIGHTING.

Abstract

The invention relates to a new generation automatic fabric laying machine that does not come into contact with the fabric surface, is camera-controlled, and features adjustable-angle LED lighting, enabling the system to detect in real time defects such as yarn skipping, weaving irregularities, stains, holes, deformations, and bunching that may appear on the fabric surface during the laying of different fabric types such as woven, denim, and knitted fabrics.

Description

1 TARIFF NEW CAMERA-CONTROLLED AND ADJUSTABLE ANGLE LED LIGHTING GENERATION AUTOMATIC FABRIC LAYING MACHINE TECHNICAL AREA 5 The invention relates to the laying of different types of fabrics, such as woven, denim, and knitted fabrics. Skipped threads, weaving defects, stains, holes that may be visible on the fabric surface, Defects such as deformation and accumulation are detected by the system in real time. camera-controlled and non-contacting to the fabric surface, enabling detection. This relates to a new generation automatic fabric spreading machine with adjustable angle LED lighting. 10 PREVIOUS TECHNIQUE One of the main problems encountered in textile production processes today is the variety of Reliable defect detection in fabrics with specific surface structure and color characteristics. It is impossible to do so. In the known technique, the fixed-angle and unidirectional lighting used is 15 The technology makes subtle defects on the fabric surface sufficiently visible. inability to detect errors on reflective surfaces or dark-colored fabrics Its success rate is not at a sufficient level. Some of these limitations are related to TR2021 / 017008B, which we developed earlier. This has been partially addressed in our patent number [patent number]. In this system, 20 are applied to the fabric surface. Contact image sensors (CIS) were used and the fabric was Error detection was performed by scanning line by line. However, the CIS system has a fixed angle and surface... Its parallel operating structure allows it to collect data based solely on two-dimensional reflection differences. insufficient for detecting three-dimensional defects with depth differences or low contrast. remains. In addition, the necessity of contact with the surface, especially for thick, flexible, dark-colored or 25 This can cause deformation in fabrics with a distinct surface texture, this system This limits its reliable performance in these types of fabrics. Skipping threads, weaving defects, Defects such as stains, holes, deformations, and bunching appear differently on each fabric. Because it has a certain level, errors occur in systems with fixed-angle lighting. It is becoming more difficult to perceive. 30 Patent number US20220005182A1 concerns circular (weft) knitting machines. For this purpose, a digital camera is used to detect any defects that may occur on the fabric surface. It consists of backlighting systems. The system is especially suitable for knitting machines. designed to be integrated into different materials such as woven fabrics or denim. 2 Its direct applicability to certain fabric types is limited. Furthermore, the system is prone to errors. Real-time monitoring and labeling of the fabric during the spreading process during inspection. It does not meet the requirements. Patent number EP0882835A2 describes the operation of tubular fabrics illuminated from within by the operator. To allow for visual inspection, a width-adjustable 5 It offers a light box design. The system is adaptable to fabrics of different diameters. It has a mechanically expandable structure to enable this. However, digital advanced technologies such as imaging, automatic error detection or data logging It does not contain any. Furthermore, due to its design, it is only suitable for tubular fabrics, which means... This limits the system's use on woven or light-colored fabrics. 10 Patent number US4389575A concerns reflective properties on the fabric surface. a system that enables automatic electronic fault detection by sensing changes The technology described in the patent uses light sources directed at the fabric surface. and works with sensors that detect reflected light. However, this system is largely... It depends on the reflectivity and color / light dispersion properties of the fabric, which makes different fabrics 15 consistent and reliable across all types (e.g., glossy, matte, patterned, dark or light colored) This makes it difficult to obtain accurate results. Consequently, recording the error data makes it difficult to obtain the correct information. Timely classification, labeling, and cutting planning synchronized with the production line. new generation automatic spreading with features such as these and not in contact with the fabric surface machines are needed. 20 A BRIEF DESCRIPTION OF THE INVENTION The invention relates to the laying of different types of fabrics, such as woven, denim, and knitted fabrics. Skipped threads, weaving defects, stains, holes that may be visible on the fabric surface, Defects such as deformation and accumulation are detected by the system in real time. by enabling their detection, and by evaluating them according to the type and location of these errors, the cutting process is carried out. the analysis of its impact on the process, and, where necessary, automated and A non-contact label that allows for positioned labeling. Camera-controlled and adjustable angle LED illuminated new generation automatic fabric spreading system. It is related to the machine. The angle of the LED lighting system in our invention is adjustable to 30°. Thanks to this, the shadows and brightness differences formed on the fabric surface are more clearly visible. and are made apparent. In this way, the system can easily detect even errors that are difficult to identify. It makes it visible. 3 LIST OF FIGURES Figure 1. General view of the New Generation Automatic Fabric Spreading Machine. The Definitions of the Numbers in the Figures 1. New Generation Automatic Fabric Spreading Machine 5 2. Laying Fabric 3. Error Detection System 4. Adjustable Angle LED Lighting 5. Camera 6. Labeling Device 10 DETAILED DESCRIPTION OF THE INVENTION Our invention, the new generation automatic fabric spreading machine (1); spreading fabric (2), fault detection system (3), adjustable angle LED lighting (4), camera (5) and The labeling apparatus (6) is characterized by its components. 15 The fault detection system in our invention (3) does not require direct contact. It performs surface analysis and detects defects on the fabric surface without contact. Our invention, which works in complete synchronization with the spreading process, is adjustable. Angular LED lighting (4) units can be adjusted angularly manually or according to the fabric type. It is adjusted automatically. Adjustable angle LED lighting (4), fabric 20 By sending light to the surface from multiple directions at angles between 30 and 50 degrees, it creates shadows. It creates reflection and surface contrast. Thus, it results in not only color differences, also surface bumps that form depending on the physical structure of the fabric, They also become susceptible to three-dimensional defects such as depressions or differences in yarn density. This characteristic is observed particularly in denim and thick knitted fabrics, where loose threads and pilling occur. (Furring) and loose threads allow for the clear detection of defects. The camera (5), which does not touch the fabric surface, photographs the fabric surface from above and at an angle. It is positioned in a way that will display it. This is processed by the image processing unit. Data received from the camera (5) are analyzed and errors are detected afterwards. New generation automatic fabric spreading machine (1); yarn skipping, weaving defect, 30 Defect types such as spots, holes, deformations, and accumulations can be identified with both type and location information. They recognize and process it together. The error data obtained is used to create the pattern cutting plan. By analyzing the product quality in critical areas using benchmarking software, only the product quality in critical areas is determined. The errors affecting are automatically marked by the labeling apparatus (6). 4 In this way, error detection is integrated into the cutting process, reducing operator intervention. The system is operational and production continuity is maintained. Furthermore, unnecessary downtime is prevented. Fabric waste is decreasing, and dependence on labor is falling. In addition, our invention provides a real-time image of the detected defects. 5 that enables classification and comparison by training with historical data. an AI-based analysis module integrated into the image processing infrastructure It includes. 15 25

Claims

REQUESTS 1. During the laying out of different fabric types such as woven, denim and knitted fabrics visible threads, weaving defects, stains, holes on the surface, Defects such as deformation and accumulation are detected by the system in real time. It is a new generation automatic fabric spreading machine (1) that enables detection, feature; - performs surface analysis of fabrics without the need for direct contact. Fault detection system that detects defects on its surface without contact (3), - by directing light onto the fabric surface from multiple directions, it creates shadows, reflections, and 10 creating surface contrast, manually adjusted angularly according to fabric type. also automatically adjustable angle LED lighting (4), - not in contact with the fabric surface, touching the fabric surface from above and at an angle camera placed in such a way as to view (5), - Real-time display of detected errors 15 classification and comparison by training with historical data AI-based system integrated into the image processing infrastructure that provides It is characterized by including an analysis module.

2. The adjustable angle LED lighting (4) mentioned in Claim 1 is its feature; fabric 20 is a component that sends light to its surface at a range of 30-50 degrees. It is characteristic. 30

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