Uster Fabriq Vision 2 Automated Fabric Inspection

Organization
Uster Technologies AG · Switzerland
Solution Type
Ready Product / Solution
Collaboration
Marketing, Licensing

1. Technology overview

Uster Technologies AG, based in Uster, Switzerland, supplies quality measurement and control systems across the textile chain, from fiber and yarn testing to in-line process control and fabric inspection, backed by a worldwide sales network and over 200 service professionals.

Uster Fabriq Vision 2 is its automated fabric inspection platform for fabric production, finishing and final inspection. Cameras inspect fabric in-line, machine learning classifies defects in real time with customizable, rule-based defect codes, and an AI-supported wizard uses textile parameters and live true-color images to set up new styles. Inspection data flows to Uster Fabriq Assistant for quality reporting and central management, and Optimized Cut Control plans cuts for maximum yield. A compact Fabriq Vision 2 N variant serves space-limited lines.

2. Highlighted features & specifications

  • In-line camera inspection: detects fabric defects automatically during production, finishing or final inspection.
  • Machine learning classification: assigns defect codes in real time with customizable, rule-based logic.
  • AI setup wizard: configures new styles from textile parameters and live camera images.
  • True-color fine-tuning: lets users adjust settings visually on image-based views.
  • Fabriq Assistant: processes, analyses and visualizes quality data with remote central management.
  • Optimized Cut Control: finds cut positions for maximum yield using infrared marks and an optional laser pointer.

3. Potential application

A weaving mill supplying export garment factories could inspect every roll in-line instead of sampling manually. A finishing plant could track defects by style over time to fix process issues. A technical textile or tire cord producer with limited space could install the compact Fabriq Vision 2 N.

4. Benefits

AI-supported style tuning allows new articles to start up in less than 10 minutes, according to Uster. Machine learning classification reduces over-detection while keeping transparent, rule-based defect coding. Style-specific data and long-term analysis support decisions on first quality, and cut optimization raises usable fabric yield.

6. Other information

Uster Technologies AG is headquartered at Sonnenbergstrasse 10, Uster, Switzerland, and presents more than 150 years of company history. It launched Fabriq Vision 2 at ITMA Asia + CITME 2025 in Singapore and issued several product press releases in 2026, including new fiber and recycling testing modules. It operates a worldwide sales and service network.

Uster Technologies AG
View organization profile

Not ready to connect yet?

Save this solution and come back when you are ready to talk to the provider

Trusted by Our Partners

TechFest VietnamIOM – UN MigrationGIZ (Deutsche Gesellschaft für Internationale Zusammenarbeit)APED – Cục Phát triển doanh nghiệp tư nhân và kinh tế tập thểSIHUB – Startup and Innovation Hub of Ho Chi Minh CityHợp tác Đức (Deutsche Zusammenarbeit)SCE & Investment PromotionStartup Vietnam Foundation (SVF)National Startup Support Center (NSSC)01BoosterQuest VenturesBộ Tài chính (Ministry of Finance)ITPC – HCMC Investment and Trade Promotion CentreJICA – Japan International Cooperation AgencyNational Innovation Center (NIC)UK GovernmentBCG – Boston Consulting GroupHAWEEHeineken VietnamTalentnetMB BankVIREA – Liên chi hội Bất động sản Công nghiệp Việt NamJobTestGlobal Supply Chain Support Fund / Aavishkaar CapitalKDANPSE / JPS – Phúc Sang MinhG-AsiaPacificBlueScopeLPBankUlsan Center for Creative Economy & InnovationĐại học Bách khoa Hà Nội – Trường Điện - Điện tửVINK – Vietnam Innovation Network in KoreaTencent WeStart (Shenzhen)Ulsan CollegeK-StartupFaslinkShinhan Future's LabShinhan SecuritiesShinhan FinanceShinhan BankShinhan Life

Start with the right connection

We make innovation easy to access for every business everywhere. The next deal is you.

Contact Us