COMVIS Texplorer® is state of the art image acquisition software for surface defect inspection of (industrial) fabrics and textiles. Thanks to years of continuous development of powerful image and data acquisition algorithms, COMVIS Texplorer® is capable of capturing the smallest defects on your narrow or wide fabric at full production speed. The Texplorer® image processing core is supported by various applications, such as Defect Analyzer, Manager, Protocol and Timeline.
- Elastic belts, hoses, screens
- Industrial belting, strapping, lashing, tie down
- (medical) bandage, sieves
- Pet lashes, fire fighter reflective webbing
- Technical textiles
- Woven and knitted fabrics
As soon as the ‘defect detection app’ has inspected your fabric, you want to know the running quality. The defect analyzer app makes a graphical representation of the running quality. It visualizes defect types by color and number.
It also shows yardage, speed, etc. Defect images are stored and can be showed in the defect analyzer, giving information about the kind of defect, size, position and the reason why it has been detected.
The core of Texplorer® is the quality measure tooling. It detects defects and deviations in your fabric. It gives you tools to determine end product quality. It starts with the detection of edges. This can be done automatically by software, or manually by the user. Once detected it can be inspected. For instance, on edge deviations like filaments, dents or abbreviations. In case of two edges the width of the fabric can be measured in absolute values (mm’s) or relative (%).
After edge detection, background and foreground can be inspected separately. The foreground is usually the fabric; the background gives information about edge or what we call ‘vision filaments’. For the inspection of the surface of the fabric, several tools can be deployed to find dye spots, stains, weft and warp defects and all other deviations.
Via the manager app, settings for machine vision cameras, illumination and defect detection are defined and stored as an article. Tooltips in the app quickly provide information about buttons and settings. All inspection data is stored as image and in logs files and databases.