KnitVision™

AI-Powered Fabric Defect Detector & Real-Time Quality Control.

Transform your quality control into an instant, automated process. Scans fabrics during knitting, detects defects, and stops the machine immediately to eliminate fabric waste.

KnitVision PDF
KnitVision Demo
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Factories Connected

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Energy efficiency

Reduce Fabric Waste and Improve Efficiency by Real-time Monitoring

Manual inspection is costly, slow, and prone to human error.
KnitVision automatically identifies defects right as they happen, preventing whole rolls of defective fabric from being produced.

High-Resolution Fabric Scanner

Positioned Where It Matters Most

Equipped with the most innovative AI solutions and cutting-edge technologies, Joula KnitVision can inspect fabric during the knitting process and stop the machine in case of any fabric defect.

Joula KnitVision can now be connected to the Joula KnitNet, which is an advanced online monitoring solution for knitting factories. They work independently, but when they come together, new features and capabilities are achieved. Every fabric defect in the roll is detected, clustered, recorded, and tagged.

Joula KnitVision can work on most types of circular knitting machines. It is easily installed on a large variety of circular machines using an innovative spider fixture.

Instant Sync

Instant Sync
for Smarter Control

Defect logs, machine stop signals, and fabric images are instantly shared, giving managers complete visibility and control over every roll produced.

Automated Quality Grading

Automated Quality Grading

Automatically assigns quality grades to each fabric roll based on real-time defect density analysis.

Deep-Dive Insights

Deep-Dive Insights

Gain full transparency into your production quality with detailed reports on specific defect types per roll

Instant Defect Visualization

Instant Defect Visualization

Enables immediate visual verification of individual defects to facilitate rapid, data-driven corrective actions.

How it works

Joula KnitVision consists of two main parts: the imaging unit and the touchscreen control panel. The imaging unit takes continuous online high resolution fabric images and transfers them to the control panel. In the event of any defect in the produced fabric, the control panel detects it through its AI algorithms and stops the machine. If the machine is equipped with Joula KnitNet, all defects are recorded in the KnitNet database for each roll, which can then be used for quality control reports.

EAGLE EYE
ON KNITTING

Advantage

Why is KnitVision the right choice?

Precise fabric faults detection using AI algorithms

Can be used for colored fabrics

Automated fabric quality control report when connected to the Joula KnitNet

Automatic detection of installation problems

Can work offline

Online updates to keep the good work going

Quick return on investment due to noticeable prevention of raw material waste

Easy install and use with the spider fixture, illustrative UI, and AI auto-set

Great customer support by Joula’s professional team

Instant Sync for Smarter Control

Defect logs, machine stop signals, and fabric images are instantly shared, giving managers complete visibility and control over every roll produced.

Joula Plus

The True Power in
Perfect Harmony

By connecting KnitNet with KnitVision, KnitFeed, and KintID, you gain a complete, precise, and intelligent toolset.
This ecosystem allows you to monitor production, track yarn, control quality, and evaluate operators seamlessly—turning your factory into a smart, fully optimized environment.

KnitNet
KnitNeedle
KnitID
KnitFeed
KnitLocal

Drop A Message Us

Ready to protect your machines and eliminate fabric waste?

Contact Technical Sales Team
sales@joula.net
(+90) 541 149 7938
Joula Logo

Joula, which literally and as a word means Knitter, in the old Persian and Arabic languages, is a premier brand registered in the field of machinery and accessories of the textile industry.

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Tekstilkent Ticaret Merkezi, A4 Blok KAPI NO: 104 (10 AR) Teksilkent Cad. Oruçreis Mah. 34235 / Istanbul / Turkey