Gridbots Fabricheck is a state-of-the-art AI based fabric inspection system and automatic camera based inspection system engineered for modern textile mills, denim manufacturers, technical textile producers, and HDPE/PP woven sack plants. Built as a fully integrated machine vision solution, it inspects fabric rolls of width up to 5 meters and length up to 5000 meters in a single roll — eliminating slow, fatigue-prone manual inspection.
The system is built around 10 high-resolution line-scan cameras mounted in a precision-engineered tunnel. Working together with multispectral LED lighting positioned above and below the moving fabric, the camera based inspection system captures every micron of the textile surface and analyses it using deep-learning powered AI algorithms. It reliably identifies, classifies and records more than 24 types of fabric defects commonly found in woven and non-woven fabric rolls.
With its AI-enabled software pipeline, the automatic fabric inspection system identifies, classifies and records defects while fabric is moving at speeds up to 200 meters per minute. CNN models perform multi-image analysis using multispectral LED lighting beneath and above the fabric, ensuring even subtle defects like neps, weft bars, broken ends and contamination are caught reliably — delivering true Industry 4.0 fabric quality control.
24+
Defect Types
200
Meters / Minute
0.1mm
Resolution
99.5%
Accuracy
The Gridbots AI based fabric inspection system is trained on a dataset of over 2 million annotated defect images across cotton, polyester, denim, nylon, technical textiles and non-woven fabrics. Below is a visual catalogue of common fabric defects that our automatic camera based inspection system detects, classifies, marks and reports in real time.
Open void from broken yarn or mechanical damage. Critical major defect.
Missing warp yarn appearing as a vertical streak running through the fabric.
Missing weft yarn appearing as a horizontal break across fabric width.
Thick, lumpy place in yarn from uneven spinning or fibre clumps.
Tied junction of two yarn ends visible as a small protruding lump.
Dark grease mark from machine lubricant contaminating the fabric.
Two weft yarns inserted in the same shed creating a thick horizontal line.
Continuous absence of warp yarn creating a visible vertical gap.
Coloured contamination fibre embedded during spinning or weaving.
Pulled-out yarn loop standing proud above the fabric surface.
Discoloured area from dye, water, rust or other contamination.
Horizontal band of denser/lighter weft from tension or yarn variation.
Vertical streaks caused by bent or damaged dents in the weaving reed.
Area of low yarn density making fabric appear lighter and translucent.
Area of excess yarn density giving fabric a dark, dense appearance.
Free hanging thread on the fabric surface from broken or unsecured yarn.
Shade difference across fabric width or length from uneven dyeing.
Tiny tangled fibre balls scattered across the fabric surface.
Permanent fold line caused by improper finishing or rolling tension.
Irregular or wavy fabric edge from tension imbalance during weaving.
Yarn skipping over the wrong number of intersections in the weave.
Yarns drawn through wrong heald causing pattern disruption in fabric.
Lengthwise streaks from yarn count variation or warp tension issues.
Foreign particles, dust, plastic or fibre debris embedded in fabric.
The Gridbots automatic fabric inspection system ships with a built-in IIoT analytics dashboard. Quality managers, plant heads and shift supervisors get live visibility into defect rates, machine downtime, fabric grade distribution and operator performance — turning raw camera data into actionable factory-floor intelligence.
Defect Type Distribution
Average % of total defects across 6 months
Manual vs AI Based Inspection
Performance comparison between manual and Gridbots AI inspection
Daily Defect Detection Rate
Real-time defect counts logged by the camera based system over 14 days
Fabric Grade Distribution (4-Point)
Percentage of rolls per grade based on ASTM D5430 4-point scoring
ROI: Annual Cost Savings with AI Based Fabric Inspection
Cumulative savings — manual inspection vs Gridbots Fabricheck (in INR Lakhs)
| Parameter | Specification |
|---|---|
| Model Number | GB-MV-INS-FABRICHECK |
| Machine Dimensions [L x B x H] | 6000 x 3000 x 2000 mm |
| Build Material | Powder Coated Mild Steel |
| Supported Roll Sizes | Length: Up to 5000 m | Width: Up to 5 m |
| Lights | Multispectral LED — Top and Bottom |
| Roll Width Servo Mechanism | Auto |
| Defect Marking Mechanism | Ink / Sticker / Data Storage |
| Fabric Support | Woven / Non-Woven / Denim / HDPE-PP |
| Inspection Speed | Up to 200 Meters per Minute |
| Inspection Resolution | 0.1 mm (sub-pixel) |
| Defect Classes Detected | 24+ |
| AI Model | Custom CNN (Deep Learning) with Auto-Teach |
| Detection Accuracy | 99.5% |
| Electrical Characteristics | Single Phase [230 V A.C., 2 HP] |
| Health Checking | Inbuilt IIoT and Alert Mechanism |
| Machine Weight | 1500 KG |
| Camera System | 10 x High-Resolution GPU Enabled |
| Machine Vision System | Integrated GPU Based 27 Inch HMI |
| Grading Standard | ASTM D5430 (4-Point System) |
| Output Reports | PDF / CSV / Live IoT Dashboard |
| Country of Origin | Made in India |
Gridbots Fabricheck has been deployed across leading textile mills, denim plants, technical-textile units and packaging giants in India, Europe and South-East Asia. Our automatic fabric inspection system is engineered for high-throughput operations where fabric quality is non-negotiable.
Cotton & Denim Mills
Technical Textiles
HDPE / PP Woven Sacks
Non-Woven & Medical
Automotive Fabrics
Home Furnishing
Apparel Manufacturing
Geo-Textiles
