Skip to content
  • Subscriptions
  • Editorial Calendar
  • Media Data
  • Newsletter
  • Contact
  • Login / Register
  • Cart / 0,00 € 0
    • No products in the cart.

      Return to shop

  • Subscriptions
  • Editorial Calendar
  • Media Data
  • Newsletter
  • Contact
Industry 4.0 ScienceIndustry 4.0 Science
  • 0
    Cart

    No products in the cart.

    Return to shop

  • I4S+
  • Industry 4.0
    • Automation
    • Digital Twin
    • Factory Planning
    • Industry 4.0
    • Internet of Things
    • Lean Production
    • Sustainability
    • Manufacturing Systems
    • Adaptability
  • Artificial Intelligence
  • Functions
    • Start-up Management
    • Maintenance
    • Logistics
    • Assembly
    • Product Development
    • Production Planning
    • Production Control
    • Process Management
    • Quality Management
    • Risk Management
    • Safety
  • Tools
    • Additive Manufacturing
    • Analytics
    • Augmented Reality
    • Blockchain
    • Modularization
    • Training
    • Robotics
    • Sensors
    • Simulation
    • Software
  • Management
    • Services
    • Dynamics
    • Energy Efficiency
    • Leadership
    • Business Models
    • Innovation
    • SME
    • Management
    • Product Piracy
    • Resource Efficiency
    • Strategy
    • Profitability
  • Journal
    • Current Issue
    • Editorial Calendar
    • Editorial Board
    • Order in Print
    • All E-Journals
    • Annual Table of Contents
    • List of Reviewers
  • Information
    • Books
    • Find 4IR Consultants
    • Find Smart Factory Software
    • Find ERP Consultants
    • Find ERP Software
    • Open Access Articles
    • About GITO
  • I4S Shop

digital assistance system

AI Smart Workstation for Industrial Quality Control

AI Smart Workstation for Industrial Quality Control

Enhancing productivity through vision systems, real-time assistance, and Axiomatic Design
Leonardo Venturoso ORCID Icon, Simone Garbin ORCID Icon, Dieter Steiner, Dominik T. Matt
Traditional quality control often falls short in high-mix, low-volume production environments due to variability and complexity. This project introduces an advanced workstation to boost industrial productivity and quality, developed with Axiomatic Design to ensure a clear link between customer needs, functional requirements, and design solutions. Combining polarization cameras, high-resolution imaging, adaptive lighting, and deep learning-based computer vision, the system performs high-accuracy inspection on quantity, quality, and compliance. A digital assistance system offers real-time feedback via an intuitive interface. Validation in a controlled environment confirmed both the system’s practical benefits and its scalability.
Industry 4.0 Science | Volume 41 | 2025 | Edition 5 | Pages 128-134 | DOI 10.30844/I4SE.25.5.124
  • About GITO
  • Factory Innovation
  • ERP Management
  • GITO Events
  • AIS Transactions on Enterprise Systems
  • Our Partners
  • FAQ for Readers
  • Cancel Subscription
  • Media Data
  • Newsletter
  • Become an Author
  • Editorial Process
  • Open Access by GITO
  • Publication Ethics
  • Contact
Visa
MasterCard
PayPal
  • Imprint
  • Cookie Policy
  • Data Privacy Policy
  • General Terms and Conditions (T&C)
Copyright 2026 © GITO
  • I4S+
  • Industry 4.0
    • Automation
    • Digital Twin
    • Factory Planning
    • Industry 4.0
    • Internet of Things
    • Lean Production
    • Sustainability
    • Manufacturing Systems
    • Adaptability
  • Artificial Intelligence
  • Functions
    • Start-up Management
    • Maintenance
    • Logistics
    • Assembly
    • Product Development
    • Production Planning
    • Production Control
    • Process Management
    • Quality Management
    • Risk Management
    • Safety
  • Tools
    • Additive Manufacturing
    • Analytics
    • Augmented Reality
    • Blockchain
    • Modularization
    • Training
    • Robotics
    • Sensors
    • Simulation
    • Software
  • Management
    • Services
    • Dynamics
    • Energy Efficiency
    • Leadership
    • Business Models
    • Innovation
    • SME
    • Management
    • Product Piracy
    • Resource Efficiency
    • Strategy
    • Profitability
  • Journal
    • Current Issue
    • Editorial Calendar
    • Editorial Board
    • Order in Print
    • All E-Journals
    • Annual Table of Contents
    • List of Reviewers
  • Information
    • Books
    • Find 4IR Consultants
    • Find Smart Factory Software
    • Find ERP Consultants
    • Find ERP Software
    • Open Access Articles
    • About GITO
  • I4S Shop
  • Login / Register