Increase Yield. Increase Profit.
Reduce Waste.
Shelton Vision’s automated fabric inspection system (the Shelton WebSpector) offers high-speed, high-accuracy, real-time machine vision checking for all fabric types, including plain single colour and patterned fabric and other web materials. It features state of the art camera technology and proven, unrivalled software to detect all visible defects, ensuring product quality, increasing efficiency and reducing waste.
Additionally, the Shelton WebSpector is customisable and can be standalone or integrated seamlessly into production lines and fabric forming machines (e.g. looms and warp knitting machines). This system enhances efficiency, minimises customer complaints and maximises profitability for the whole value chain.
Inspect all fabric types including plain, yarn dye, printed, dobby pattern and jacquard at high speed or on your fabric forming machines.
Shelton Vision’s systems employ advanced imaging technology, including high-resolution cameras and specialised software algorithms, to detect flaws or inconsistencies in the fabric pattern repeat. The system can quickly and accurately identify defects such as misprints, colour variations, streaks, or other imperfections that may affect the quality of the fabric.
By automating the patterned fabric inspection process, Shelton Vision’s technology allows textile manufacturers, printers and finishers to improve quality control, reduce waste and increase productivity. It allows for rapid and precise inspection of large volumes of fabric, ensuring that only flawless materials are used in production.
By delivering an ROI of six to eighteen months, this system excels through high-speed and accurate inspection. Furthermore, it offers a commercial review of auto-classified and graded defect maps and provides yield-optimised cut plan calculation and precise re-roll and cutting machine control.
Shelton Vision’s fabric inspection systems assess defects based on the type of fabric and according to specific customer standards. We use mathematical measures like size and contrast to determine the seriousness of each defect. This means we can categorise defects based on their impact, helping manufacturers prioritise and address issues accordingly.