Kiara Web Inspection System for 

FIBC Cutting Machines

Reduce Your Wastage With Automated Inspection and Smart Cutting

The Kiara Web Inspection System (KWIS) for FIBC fabric cutting machines uses advanced AI vision for Inspection. It reduces material wastage by up to 70% with a defect identification accuracy of >99.9%. It uses advanced Artificial Intelligence and deep learning to understand the defect types and manufacturing needs.

KWIS is a fabric and textile Inspection system that easily integrates with any existing cutting machine or fabric rewinding machine. It's AI engine integrates with Deep learning and machine vision technologies to accurately detect all defects in real time . Furthermore, Kiara Web Inspection System detects an optimal cut point for each defect so that you can save any material wastage.

About Kiara Web Inspection System for FIBC

What It Does 

Our Web inspection system integrates with your existing cutting machines easily and utilizes advanced machine learning and data science. The system retrofits and  
  • Finds any defect in the fabric using high quality machine vision and artificial intelligence.
  • For each defect, the system finds out the optimum cut point and minimizes the wastage of material.
  • It automatically blocks the Spout cutter in case of defects.
  • Inspects every inch of fabric using the highest quality cameras.

Features of KWIS

Cutter block function

KWIS' Spout Blocker ensures that no additional fabric is wasted due to spout cutting when a defect is present in the current sheet

Precise and ultra fast AI machine vision

KWIS' AI Engine identifies all defects, as small as 2 mm, and at speeds up to 120 meters/minute.

Easy to use touch (HMI)

Easy to use Touch Human Machine Interface (HMI) - Our system is very easy to operate. With little training, anyone can operate the system.

Detects all types of fabric defects accurately

KWIS system can detect all kinds of spots, knots, holes, warp/weft missing, warp/weft extra, dust and gaps and other defects accurately.

Self-learning AI system

Our system learns and improves itself based on the type of defects detected. With time, its accuracy and speed increases by itself. There is no need for human intervention as it can train on the collected data on defects and performance.

Circular fabric model

Offers two-sided inspection for comprehensive quality control.

Customize Defect Detection

Diversify inspection strategies with KWIS recipe customization. Select from distinct defect categories, and precisely configure their identification criteria to meet the specific quality control requirements

Benefits of KWIS for FIBC Industry

  • By blocking the spout cutter and stopping at optimum cut point, KWIS reduces Wastage by 45-50% for Side, 65-70% on U-Panel, and 50% on each side for Tubular.
  • Our system has an accuracy up to 99.95% and it increases further as its AI algorithm trains itself and quickly adapts to your production process and fabric types.
  • KWIS eliminates slow and manual Inspection steps in the production process improving production speeds. This is more-so during 2-side inspection of tubular fabrics.
  • KWIS removes the need for manual inspection labor, saving you time, money, and providing a more efficient alternative.
  • No need for callbacks, reworks, or rejections as our system assures the quality of your products.

Defects Categories

KWIS - Resources

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GUI and Reports & Analytics

The KWIS generates an advanced analytics report on the type of defects, quality trends, operator performance report and other important analytics that helps business owners track the production process and assure quality control.



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Frequently Asked Questions

What types of defects can KWIS identify in FIBC manufacturing?

KWIS is trained to identify 15 different categories of defects. These include holes, warp and weft damage, shuttle faults, knots, loose threads, contamination, gapping, edge damage among others.

What is the difference between inspection for flat and circular fabric?

Inspection is done only from the top side for flat fabrics. However, defects at the bottom surface in circular and tubular fabrics need additional cameras in the bottom for inspection.

How does KWIS enhance quality in FIBC manufacturing?

The Kiara Web Inspection System identifies all defects and takes action to eliminate them at an early stage. This ensures defects aren’t passed onto subsequent production stages and improves overall quality.

How does KWIS contribute to waste reduction in FIBC production?

By identifying defects early on in the cutting stage and cutting out only the defected portion, KWIS avoids wastage of any good fabric. In the case of U-panel fabric, it allows for spout blocking and enables more salvage of fabric. This reduces overall waste by over 65%.

What is the return on investment (ROI) period for KWIS in the FIBC industry?

The typical return on investment for the Kiara Web Inspection System installed on an FIBC Cutting machine is 12 months. This includes waste saving, labor cost reduction, quality improvement, and re-work reduction, and data digitization that helps in improving loom and operator efficiency.

How small of a defect can KWIS identify in FIBC manufacturing?

Typical installations are installed to identify defects as small as 1-2 mm.