Fabric Inspection System
Quality Bar
Quality Bar simultaneously detects, names and reports visual defects on the fabric. Designed with artificial intelligence and deep learning algorithms, Quality Bar provides fabric quality control with a 95% accuracy rate by eliminating the human factor in a compact feature. Quality Bar, one of the pioneers of Industry 4.0 breakthrough in the textile sector, is an "intelligent" quality control system. Quality Bar provides quality control with its multi-mode scanning system and light sources reflected on the fabric. It is a real high-resolution online fabric quality control system with simultaneous front and back lighting.
Quality Bar detects point, horizontal and vertical defects on the fabric. Classifies and reports with a user-friendly interface.
Product Specifications
| Technology | High-speed scanning sensor |
| Sensor Resolution | Up to 600 dpi |
| Scanning Width | Up to 6 meters |
| Scanning Speed | Up to 50 meters/minute |
| Detection Speed | 6.000 lps |
| Defect Detection | fabric defect, weft defect, warp defect |
| Fabric Type | Woven, nonwoven or knitted fabric |
| Program Control | Multi-core embedded computer control |
| Recording | Defect time, defect location (x,y) on the fabric, machine number, defect size, defect picture, defect name and so on |
Shade Bar
Shade Bar is an online quality control system that detects wing differences, color filtering and lot differences that may occur in the production of dyed fabrics with a spectrophotometer.
Shade Bar calculates Delta E differences by measuring L, a, b values on the flowing fabric instantly. It provides benefits in terms of quality and time in subsequent production processes.
The Shade Bar provides continuous color controls by measuring the optical reflectance values of the fabric. If necessary, it can also send a "stop" command to the machine during detection. ShadeBar, another pioneer of Industry 4.0 breakthrough in the textile industry, can send the calculated data to computer memory, cloud environment or web provider.
ShadeBar makes color measurements in accordance with the recommendations and decisions of the International Commission on Lighting (CIE-Commission Internationale de l'Eclairagel).
Product Specifications
| Technology | High precision spectrometer |
| Spectral Sensitivity | =< 3 nm |
| Measurement Accuracy (Delta E) | 100 measurement/second |
| Measurement Spectrum Range | 380 - 780 nm |
| Defect Detection | Wing differences, color filtering |
| Communication | Ethernet or Wi-Fi |
| Recording | Defect time, defect location (x,y) on the fabric, machine number, defect size, defect picture, defect name and so on |
Shade Lab
Shade Lab is a desktop spectrophotometer that measures the color values of textile materials. Shade Lab, Unlike conventional spectrophotometers, makes the most accurate measurements on pile surfaces and in-grained structures.
Shade Lab, makes color measurements based on the recommendations and standards of the International Commission on Illumination [CIE-Commission Internationale del'Eclairage] by means of a spectrophotometer.
Product Specifications
| Technology | Monolithic structured high precision micro spectrometer |
| Spectral Sensitivity | =< 3 nm |
| Measurement Accuracy (Delta E) | =< 0,05 |
| Measurement Spectrum Range | 380 - 780 nm |
| Measurement Area | 15 mm diameter |
| Source of Light | Sunlike LED |
| Recording | Recording reference and Measurement values |
Digital Dropwire
Digital Dropwire is an intelligent digital lamella system developed instead of mechanical lamella system in warping and rope opening processes. It provides tracking of yarns online. Digital Dropwire detects the number of yarns in the warping and automatically stops the system when the yarn breaks.
Product Specifications
| Technology | High-speed scanning sensor |
| Sensor resolution | Up to 600 dpi |
| Scan length | Up to 600 cm |
| Detection speed | 6.000 lps |
| Defect detection | Yarn break, yarn defect |
| Contact | Ethernet or Wi-Fi |
| Output | 2 pcs NPN, open collector, max 50mA |
| Recording | Defect time, defect location, machine number, defect name |