AI fabric inspection: Smartex vs Shelton vs Uster

Choose where the fabric decision happens

Fabric inspection is most useful when its output changes a production or cutting decision. Smartex CORE, Shelton WebSpector, and Uster Fabriq Vision 2 combine cameras and AI with different workflows. This comparison focuses on textile rolls and moving fabric webs, including the point of inspection, treatment of defects, and connection to downstream quality decisions.

Smartex CORE

Smartex CORE puts automated inspection close to the knitting process. Cameras and sensors observe fabric as it is produced, allowing the mill to identify irregularities before they travel through later operations. The surrounding Smartex system adds two useful layers: FACT presents production and quality information, while LOOP connects roll-level information with a scannable passport. Automatic roll grading uses detected defect severity to separate rolls needing attention from rolls that may qualify for a faster inspection route. Production managers can examine a problematic roll digitally and connect quality information with its manufacturing history. This suits circular-knitting operations seeking earlier visibility into recurring faults and more consistent communication with dye houses or customers. The distinction between the products matters: CORE supplies inspection data, FACT supports factory decisions, and LOOP supports traceability. A CORE hardware quotation alone should not be read as confirmation of every grading, reporting, or supply-chain-sharing entitlement.

Shelton WebSpector

Shelton WebSpector follows the fabric through incoming, in-process, or final inspection. Line-scan imagery and classification software detect and categorize faults while the material moves, with installation options covering standalone roll inspection and integration into production lines. Its particularly relevant capability is separating a repeating fabric design from a genuine defect. That makes patterned, striped, or checked textiles a meaningful part of the product discussion rather than assuming a plain-fabric setting will transfer unchanged. WebClassifier adds type and severity information, while the broader software suite includes shade-continuity analysis, style setup, and multi-site quality standards. At final inspection, defect maps can feed an optimized cut plan and re-roll control. WebSpector therefore suits mills that want to turn an inspection record into decisions about usable lengths and customer orders. Actual performance remains dependent on the material and installed configuration; the vendor’s accuracy and yield figures are not a comparative benchmark against Smartex or Uster.

Uster Fabriq Vision 2

Uster Fabriq Vision 2 combines in-line defect inspection with AI-supported preparation of fabric styles. Operators can adjust inspection settings using true-color imagery, while machine-learning classification supports transparent defect coding. The emphasis is on making repeatable quality settings practical when materials or production styles change. Its surrounding Fabriq Assistant environment processes and visualizes quality information for managers and process engineers. Reporting and central-management modules support a broader view of connected inspection systems. For final conversion, Optimized Cut Control adds planning software and physical synchronization or visualization components so defect positions can inform cutting. This makes Uster relevant to producers that want structured quality assurance across production, finishing, and final inspection. Vision 2 N addresses installations where a conventional roller-frame arrangement is unsuitable or space is limited. The inspection platform, Assistant modules, and cut-control equipment should be scoped explicitly; their presence in one product presentation does not make them a single identical package.

Inspection at the machine or across the web process?

Smartex is most directly aligned with observing knitted fabric during manufacture and following the resulting roll data. Shelton describes inspection gates from incoming material through finishing to the final cut. Uster likewise addresses production, finishing, and final inspection, with a strong emphasis on preparing the right style-specific settings. A knitting manager investigating recurring production faults should start with Smartex’s machine-level workflow. A finishing operation handling different moving webs should examine Shelton’s and Uster’s installation options. The useful comparison is the process stage each system can actually observe in that mill.

Defect meaning and downstream use

Smartex’s roll grading helps decide which rolls require attention and provides traceable quality information. Shelton emphasizes defect type and severity, separation of fabric patterns, and a path from the defect map to optimized cuts. Uster emphasizes visual setting adjustment, transparent coding, quality analysis, and separately scoped cut-control functions. For a patterned-textile producer, Shelton’s documented pattern workflow is a focused starting point. For a team repeatedly changing styles, Uster’s setup tools deserve attention. For a knitting operation sharing roll quality with downstream partners, Smartex’s FACT and LOOP relationship is especially relevant.

How the commercial units differ

Smartex and Uster numeric prices, billing intervals, hardware charges, and module entitlements remain unconfirmed. Shelton describes per-metre operational charging that incorporates support, spares, upgrades, and remote diagnostics, but its actual rate and invoicing interval are unconfirmed. These models should not be flattened into a generic monthly software price. Smartex’s machine and roll-data scope, Shelton’s inspected volume and conversion modules, and Uster’s inspection hardware, Assistant access, and cutting components define different purchases. A useful proposal identifies the fabric styles, production stages, line speeds, and quality outputs covered by that specific installation.

Which should you choose?

Consider Smartex for knitting-stage faults and roll traceability, Shelton for patterned-web inspection linked to grading and cutting, and Uster for style-specific inspection and structured quality analysis. Choose the production decision and installed scope before comparing headline automation claims.