Machine Vision and Artificial Intelligence for Industry 4.0


One of the most hotly discussed topics in the manufacturing world today is Industry 4.0, or “The Industrial Internet of Things.” Industry 4.0 refers to a set of emerging innovations in advanced automation, machine vision, Big Data, cloud computing and machine learning which will revolutionize manufacturing. Industry 4.0 demonstrates tremendous potential to bolster productivity, reduce waste, refine product quality, enhance manufacturing flexibility, decrease operating costs, and deliver many other benefits to the factory floor.

Industry 4.0 is associated specifically with an increase in the use of cyber-physical systems (CPS), such as sensors, which can collect data for manufacturers and producers to identify and trace parts and subassemblies. This data collection process enables devices to autonomously exchange information, as well as control and interact with each other independently.

About the Seminar

This free seminar is an opportunity to stay at the forefront of technology and drive transformative change within your organization, enabling it to thrive in the era of Industry 4.0.


In this seminar, we will focus on the transformative potential of Machine Vision and Artificial Intelligence (AI) in the Industry 4.0 landscape. This discussion followed by an interactive Questions & Answers session is designed to provide a glimpse into the rapidly evolving world of AI and computer vision technologies.

Explore the fundamental concepts and their significance within the context of Industry 4.0. Through engaging discussions and real-world case studies, we will showcase how these technologies are revolutionizing quality control, predictive maintenance, and automation in various industries

Key Discussion Points

Understanding Industry 4.0: Exploring the Next Industrial Revolution

Machine Vision's Impact: Revolutionizing Industry 4.0 Processes

AI's Manufacturing Revolution: Transformative Power in Industry 4.0

Case Studies: Real-Life Applications of Machine Vision and AI in Industry 4.0

Exploring Tools and Technologies: Diverse Approaches in Industry 4.0

Navigating Challenges and Embracing Future Trends in Industry 4.0 Implementation

3 Hours of In-Person Training

Real-life case studies

100% Money Back Guarantee

Practical Hands-on Activities

Learn from a Leading Industry Expert

Gain a certificate

Why you should join this seminar:

The seminar is a great opportunity for those who wish to:

Who should attend

This seminar is designed for professionals and experts from various domains, including:

  • Manufacturing Managers: Those responsible for optimizing manufacturing processes and increasing productivity.
  • Engineers and Technologists: Professionals seeking to harness machine vision and AI for quality control, automation, and predictive maintenance.
  • Data Scientists and AI Specialists: Individuals interested in applying AI and machine learning in industrial settings.
  • Researchers and Academics: Those looking to stay updated on the latest developments in Industry 4.0 technologies.
  • Business Owners: Entrepreneurs and decision-makers wanting to explore the potential of Industry 4.0 for their businesses.
  • Students: Engineering and technology students interested in a career in Industry 4.0.

About the Speaker - Dr Zubair Khalid

Dr. Zubair Khalid is currently serving as a Visiting Professor at the Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST). He is on sabbatical from his position as an Associate Professor in the Electrical Engineering Department at the School of Science and Engineering, Lahore University of Management Sciences. He received Ph.D. degree from the Australian National University funded by the prestigious Endeavour Scholarship. His research interests include the use of machine learning, data processing, computer vision, natural language processing and the development of novel information processing techniques in these areas for applications in cosmology, medical imaging, acoustics, speech processing and data-driven urban development. He is a senior member of IEEE and is serving on the Editorial Board as an Associate Editor for the IEEE Signal Processing Letters. More details regarding his academic profile are available at 

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