In the dynamic realm of industrial production, the advent and integration of 3D scanning systems have marked a revolutionary shift, profoundly influencing both the processes and products of modern manufacturing. This technology’s relevance, especially in an era that increasingly leans towards automation and precision, is not just an enhancement of production capabilities, but a complete redefinition of manufacturing paradigms.

3D scanning, a technology that accurately captures the physical dimensions of objects and converts them into digital 3D models, has become an indispensable tool in the industrial landscape. Its impact is multifaceted, offering unparalleled benefits in terms of efficiency, cost reduction, and quality control. A course dedicated to understanding and mastering 3D Scanning Systems is, therefore, not just a venture into a cutting-edge technology, but a deep dive into a methodology that is reshaping the very fabric of industrial production.

The relevance of this technology in industry is most prominently witnessed in its application to product design and prototyping. 3D scanning accelerates the design process, allowing for rapid prototyping and immediate feedback. This agility is crucial in a market that demands speed and innovation. By enabling the swift conversion of ideas into tangible products, 3D scanning empowers manufacturers to stay ahead in a competitive landscape.

In quality control and inspection, 3D scanning systems introduce a level of precision and consistency previously unattainable. Traditional methods of quality assurance are often time-consuming and prone to human error. In contrast, 3D scanning provides a non-intrusive, accurate, and repeatable means of inspecting products, ensuring that each item meets stringent quality standards. This accuracy is not just beneficial for the assurance of product quality but is also instrumental in reducing waste and optimizing resources – key considerations in sustainable manufacturing practices.

Moreover, the significance of 3D scanning in industrial production is also evident in its role in reverse engineering. The ability to deconstruct products and models into their digital counterparts opens up possibilities for innovation and improvement. It allows manufacturers to understand and enhance existing products, uncovering opportunities for innovation and development.

The course on 3D Scanning Systems, therefore, emerges as a critical component in the education of future industry professionals. It equips them with the skills and knowledge to leverage this technology effectively, ensuring they are well-prepared to contribute to and thrive in the rapidly evolving landscape of industrial production. In an age where technological proficiency is synonymous with competitive advantage, understanding 3D scanning is not just an asset; it’s a necessity.

Total Hours

This course unit covers 100 hours, from which 28 hours lectures, 14 hours lab work, and 58 hours individual study and work.

General Objective

The primary objective of this course is to impart advanced knowledge and develop expertise in both the theoretical and practical aspects of product digitization through 3D scanning technologies. This course aims to equip students with the skills necessary to create accurate digital replicas of a wide array of real-world objects, ranging from industrial products to general-purpose items, artworks, and archaeological artifacts.

Students will gain a deep understanding of the methodologies, technologies, and applications involved in the digitization process. This includes mastering various 3D scanning techniques such as laser scanning, structured light scanning, and photogrammetry, as well as learning to handle the software tools essential for processing and refining digitized data.

Through a combination of theoretical instruction and hands-on practical experience, the course seeks to enable students to proficiently apply 3D scanning technologies in various sectors. By the end of the course, students will be well-prepared to contribute to and innovate in fields that rely on precise and efficient digitization of physical objects, thereby meeting the growing demand for skilled professionals in this dynamic and evolving area of technology.

Specific Objectives / Learning Outcomes
  • Understanding General Notions of 3D Object Digitization:
    • To provide a comprehensive understanding of the fundamental concepts and techniques involved in 3D digitization of objects.
    • To explore various technologies and methods used in 3D scanning, such as laser scanning, structured light scanning, and photogrammetry.
    • To examine the applications and implications of 3D digitization in different industries and fields.
  • Learning About CMM Measurement and Inspection:
    • To introduce the principles and applications of Coordinate Measuring Machines (CMM) in the context of object measurement and inspection.
    • To understand the role of CMM in ensuring precision and accuracy in the digitization process.
    • To cover the operational techniques and best practices in using CMM for quality control and validation of digitized data.
  • Grasping Basic Principles of Processing 3D Digitized Data:
    • To educate on the primary methods and tools used for processing and refining 3D digitized data.
    • To develop skills in handling software for 3D data manipulation, including mesh editing, model reconstruction, and data optimization.
    • To provide insights into the end-to-end workflow from scanning to processing, enabling the creation of usable and high-quality digital models.

Through these specific objectives, the course aims to build a solid foundation in 3D scanning systems, preparing students for practical applications in various professional settings. The course will not only focus on the technical skills but also on understanding the broader context and potential of 3D digitization in contemporary industry and research.

Professional Competencies

The professional competencies developed through this course are as follows:

    1. Advanced Technical Skills in 3D Digitization

    • Mastery of Digitization Equipment: Proficient use and understanding of various 3D digitization technologies, including laser, structured light, and photogrammetry scanners.
    • Software Expertise: Deep knowledge of specific software used in 3D modeling, processing, and analysis, like VXelements, Artec Studio, Agisoft Metashape, Meshroom, and others.

    2. Specialized Data Processing and Analysis

    • 3D Data Manipulation: Skills in handling, manipulating, and optimizing 3D data obtained from digitization processes.
    • Modeling and Simulation: Ability to create accurate 3D models and perform simulations, crucial for various applications in industries such as manufacturing, architecture, and archaeology.

    3. Project Execution in 3D Digitization

    • Digitization Project Lifecycle: Understanding and managing the entire lifecycle of a 3D digitization project, from planning to execution and final delivery.
    • Quality Assurance in 3D Models: Implementing and maintaining high standards of quality and accuracy in 3D digitization outputs.

    4. Technical Documentation and Reporting

    • Detailed Technical Reporting: Creating comprehensive and detailed reports specifically focused on the technical aspects and outcomes of 3D digitization projects.
    • Documentation Standards: Adherence to professional standards in technical documentation, crucial for clear communication of complex information.

    5. Domain-Specific Knowledge and Application

    • Industry-Specific Applications: Understanding the application of 3D digitization in various domains like cultural heritage preservation, product design, and medical imaging.
    • Compliance with Industry Standards: Familiarity with industry-specific standards and protocols in 3D digitization.

    6. Advanced Software and Hardware Troubleshooting

    • Diagnostic Skills: Ability to diagnose and troubleshoot issues with digitization hardware and software, ensuring smooth operation and minimal downtime.
    • Technical Maintenance: Knowledge of maintenance protocols for sophisticated digitization equipment.

    7. Research and Development in 3D Digitization

    • Innovative Research: Engaging in research to develop new methods or improve existing techniques in 3D digitization.
    • Emerging Technologies Adaptation: Staying abreast of and adapting to emerging technologies and methodologies in the field.

    8. Professional Networking and Industry Engagement

    • Industry Connections: Building and maintaining professional relationships within the 3D digitization community.
    • Professional Development: Actively participating in workshops, conferences, and other professional development opportunities specific to 3D digitization.

    By focusing on these specific professional competencies, the course ensures that students gain the necessary technical expertise and industry-specific skills that are distinct from the more universal cross-competencies.

    Cross Competencies

    The key cross-competencies that students can develop through this course:

    1. Critical Thinking and Analytical Skills

    • Problem Solving: Developing the ability to approach complex challenges logically and creatively.
    • Data Interpretation: Skills in interpreting and making sense of diverse data types, a competency valuable in many fields.

    2. Communication Skills

    • Clear Communication: Articulating ideas and concepts clearly and effectively, both in writing and verbally.
    • Technical Reporting: Ability to prepare comprehensive reports, a skill that’s universally demanded in professional settings.

    3. Collaborative and Teamwork Skills

    • Interdisciplinary Collaboration: Working effectively in multidisciplinary teams, a crucial skill in project-based environments.
    • Conflict Resolution: Learning to manage and resolve conflicts in a team, which is essential in any collaborative setting.

    4. Adaptability and Flexibility

    • Change Management: Adapting to new technologies, methodologies, and environments, a key competency in today’s rapidly changing world.
    • Versatility: Ability to handle multiple roles and tasks, useful in dynamic work environments.

    5. Digital Literacy

    • Technological Proficiency: Comfort with various digital tools and platforms, which is critical in a digitized world.
    • Digital Communication: Effective use of digital mediums for communication and collaboration.

    6. Project Management Skills

    • Organizational Skills: Planning, organizing, and prioritizing work effectively.
    • Resource Management: Efficient utilization of resources, including time and materials, applicable in various professional scenarios.

    7. Creativity and Innovation

    • Creative Thinking: Generating new ideas and creative solutions to problems.
    • Innovative Mindset: Encouraging a culture of innovation and continuous improvement.

    8. Ethical and Social Responsibility

    • Ethical Judgment: Making decisions ethically and responsibly.
    • Social Consciousness: Understanding and valuing the impact of one’s work on society and the environment.

    9. Lifelong Learning Orientation

    • Self-motivated Learning: Pursuing ongoing personal and professional development.
    • Adaptive Learning: Ability to learn new skills and adapt knowledge to new contexts.

    10. Leadership and Personal Development

    • Self-awareness and Reflection: Understanding one’s strengths and areas for development.
    • Leadership Skills: Developing leadership qualities, including initiative-taking and motivating others.
    Alignment to Social and Economic Expectations

    The alignment is addressed in several key areas:

    1. Industry Relevance

    • Emerging Technologies: 3D digitization is at the forefront of several emerging industries, including manufacturing, heritage conservation, and virtual reality.
    • Economic Impact: Training in this field equips students with skills that are increasingly in demand, contributing to economic growth and innovation.

    2. Societal Impact

    • Cultural Preservation: 3D digitization techniques are crucial for preserving cultural heritage and artifacts, making them accessible for future generations.
    • Education and Accessibility: Digitization makes educational resources more accessible, offering new ways of learning and interaction, particularly in remote learning environments.

    3. Employment Opportunities

    • Career Prospects: The course opens up diverse career opportunities in sectors like engineering, architecture, archeology, and media.
    • Skill Development: It addresses the skill gap in high-tech industries, making students job-ready for specialized roles.

    4. Environmental Considerations

    • Sustainable Practices: 3D digitization supports sustainable practices in design and manufacturing, reducing waste and promoting efficient use of resources.
    • Digital Archiving: Reduces the need for physical storage, contributing to lower carbon footprints in various industries.

    5. Technological Advancement

    • Innovation Encouragement: The course fosters innovation, encouraging students to develop new applications and improve existing technologies.
    • Adaptation to Industry 4.0: Aligns with the transition towards automation and data exchange in manufacturing technologies and smart factories.

    6. Ethical and Legal Aspects

    • Data Privacy and Security: Emphasizes the importance of ethical handling and security of digitized data.
    • Intellectual Property Rights: Educates students about the legal aspects of digitizing and reproducing 3D content.

    7. Community Engagement

    • Public Awareness: Encourages students to engage with the public through exhibitions, workshops, and presentations, raising awareness about the significance of 3D digitization.
    • Collaborative Projects: Promotes collaboration with local industries, museums, or cultural institutions, providing real-world experience and community service.

    8. Global Competitiveness

    • International Standards: Prepares students to work according to international standards and practices, enhancing global job competitiveness.
    • Cross-cultural Exchange: Facilitates understanding of global cultural heritage, fostering cross-cultural respect and cooperation.

    By aligning the course with these social and economic expectations, the program not only enhances the employability and skillset of its graduates but also contributes positively to societal development and economic progress.


    Assessment Methods:

    The assessment framework for the 3D Digitization Techniques course is designed to evaluate students’ understanding and proficiency in both theoretical aspects and practical applications of 3D digitization technologies.

    For Theoretical Lectures:

    • Quizzes: Regular in-class or online quizzes to assess comprehension of key concepts, processes, and principles in 3D digitization.

    • Written Assignments: Tasks requiring application of theoretical knowledge to practical scenarios, promoting critical thinking and analytical skills.

    • Midterm and Final Exams: Comprehensive exams testing overall understanding, including multiple-choice, short answer, and essay questions.

    For Lab Work:

    • Lab Reports: Detailed documentation of lab exercises, focusing on the process, outcomes, and analytical perspectives of digitization tasks.

    • Oral Presentations:Presentations on lab work evaluated for clarity, content comprehension, and audience engagement.

    Assessment Criteria:

    For Theoretical Lectures:

    • Knowledge and Understanding: Assessment of grasp on core principles and technologies in 3D digitization.

    • Analytical and Problem-Solving Skills: Ability to apply theoretical insights to practical digitization challenges.

    • Communication Skills: Effectiveness in articulating concepts and solutions in both oral and written forms.

    • Technical Proficiency: Proficiency in using relevant digitization software and tools.

    For Lab Work:

    • Technical Skills: Application of learned techniques in lab exercises.

    • Quality of Work: Accuracy and precision in executing digitization tasks.

    • Creativity and Innovation: Originality in approach and problem-solving in lab exercises.

    • Attention to Detail: Rigor in lab procedures and report documentation.

    • Time Management: Adherence to deadlines and efficient use of lab time.

    Quantitative Performance Indicators:

    For Lectures:

    • Attendance and Participation: At least 80% attendance and active participation.

    • Homework and Quizzes: Completion with a minimum accuracy of 60%.

    • Midterm Exam: Minimum score of 50%.

    For Lab Work:

    • Lab Engagement: Consistent involvement in lab exercises.

    • Lab Reports: Submission of comprehensive reports with a minimum score of 60%.

    • Lab Presentations: Effective delivery with a minimum score of 60%.

    For the Final Exam:

    • Theoretical Understanding: At least 70% accuracy on lecture-related questions.

    • Practical Application: Minimum of 50% on questions involving practical implementation.

    • Critical Evaluation: At least 50% on evaluative components.

    • Overall Performance: A cumulative exam score of 50% or higher to pass.

    This framework ensures a balanced evaluation of both theoretical knowledge and practical proficiency in 3D digitization, preparing students for professional applications in the field.


    Unit 1: Introduction to 3D Digitization Techniques (2 hours)

    • Overview and theoretical foundations of 3D digitization.

    • Practical aspects and workflows in 3D digitization.

    • Applications and importance in various industries.

    Unit 2: Laser Scanning of Complex Shaped Parts (2 hours)

    • Principles and mechanics of laser scanning technology.

    • Techniques for laser scanning of complex geometries.

    • Case studies and applications in industry.

    Unit 3: Structured White Light Scanning of Complex Shaped Parts (2 hours)

    • Fundamentals of structured white light scanning.

    • Best practices for capturing complex shapes.

    • Industrial applications and real-world examples.

    Unit 4: Structured Blue Light Scanning of Complex Shaped Parts (2 hours)

    • Understanding structured blue light technology.

    • Techniques for high-precision scanning of intricate parts.

    • Comparative analysis with other scanning methods.

    Unit 5: Digitization Using Photogrammetry Techniques of Parts with Complex Shape (2 hours)

    • Introduction to photogrammetry for 3D digitization.

    • Methodologies for capturing complex shapes accurately.

    • Application scenarios in various industries.

    Unit 6: Utilizing from Open Access to High-End Photogrammetry Software (2 hours)

    • Overview of photogrammetry software spectrum.

    • Comparative analysis of open-source vs. high-end options.

    • Case studies highlighting the strengths and weaknesses of each.

    Unit 7: Measuring Complex Shaped Parts Using Coordinate Measuring Machines (CMM) (2 hours)

    • Principles of CMM in digitizing complex parts.

    • Techniques and best practices for CMM usage.

    • Industry-specific applications and case studies.

    Unit 8: Alternative Methods of Digitization (2 hours)

    • Exploration of unconventional digitization techniques.

    • Advantages and limitations of alternative methods.

    • Niche applications and innovative uses in industry.

    Unit 9: Combining Digitization Methods (2 hours)

    • Strategies for integrating multiple digitization techniques.

    • Case studies of hybrid digitization approaches.

    • Benefits and challenges in combining methods.

    Unit 10: Processing of Digitized Data for Industrial Purposes (2 hours)

    • Techniques for processing and refining digitized data.

    • Application of processed data in manufacturing and design.

    • Case studies demonstrating industrial applications.

    Unit 11: Processing of Digitized Data for Dissemination Purposes (2 hours)

    • Methods for preparing digitized data for public sharing.

    • Platforms and mediums for effective dissemination.

    • Case examples from museums, education, and media.

    Unit 12: 3D Reconstruction of Digitized Objects for Reverse Engineering Purposes (Digitized Shape Editor/CATIA V5) (2 hours)

    • Introduction to 3D reconstruction using CATIA V5’s Digitized Shape Editor.

    • Techniques and workflows in reverse engineering.

    • Practical applications and industry examples.

    Unit 13: 3D Reconstruction of Digitized Objects for Reverse Engineering Purposes (Quick Surface Reconstruction/CATIA V5; Generative Shape Design/CATIA V5) (2 hours)

    • Deep dive into CATIA V5’s Quick Surface Reconstruction and Generative Shape Design.

    • Advanced techniques in 3D modeling and design optimization.

    • Case studies highlighting real-world applications.

    Unit 14: Dissemination and Promotion of 3D Digitized Objects via Online or Offline Methods (2 hours)

    • Strategies for effective dissemination of 3D objects.

    • Online platforms and offline methods for promotion.

    • Examples of successful dissemination campaigns.

    Each unit is designed to cover theoretical aspects, practical techniques, and industry applications, offering a comprehensive understanding of 3D digitization in various contexts.

    Lab Work

    Lab 1: Using Creaform VIUScan (Laser Scanner) to Digitize Complex Shaped Objects (2 hours)

    • Hands-on training with the Creaform VIUScan.

    • Step-by-step process to digitize complex objects.

    • Analyzing and interpreting the scanned data.

    • Creaform’s VXelements AI – offers AI-driven scan quality optimization and automated data processing.

    Lab 2: Using Creaform Go!SCAN 20 and Go!SCAN 50 (Structured White Light Scanners) to Digitize Complex Shaped Objects (2 hours)

    • Practical introduction to Go!SCAN 20 and 50.

    • Techniques for capturing intricate details.

    • Evaluating the effectiveness and precision of the scans.

    • Creaform’s VXmodel AI – provides AI-assisted alignment and mesh optimization for complex shapes.

    Lab 3: Using Artec Space Spider (Structured Blue Light Scanner) to Digitize Complex Shaped Objects (2 hours)

    • Operational training with the Artec Space Spider.

    • Strategies for scanning complex geometries.

    • Data quality assessment and troubleshooting common issues.

    • Artec Studio with AI neural network algorithms – AI algorithms for enhanced precision and noise reduction in 3D models.

    Lab 4: Using Photogrammetry Techniques to Digitize Complex Shaped Objects (I) (2 hours)

    • Basics of photogrammetry setup and capture.

    • Best practices for photographing objects for 3D reconstruction.

    • Initial processing of photogrammetric data.

    • Agisoft Metashape AI or Autodesk ReCap AI – both utilize AI for advanced image processing and 3D model reconstruction.

    Lab 5: Using Photogrammetry Techniques to Digitize Complex Shaped Objects (II) (2 hours)

    • Advanced photogrammetry techniques.

    • Hands-on session on refining and optimizing 3D models.

    • Troubleshooting and enhancing photogrammetric outputs.

    • Agisoft Metashape AI or Autodesk ReCap AI – both utilize AI for advanced image processing and 3D model reconstruction.

    Lab 6: Processing of the Digitized Complex Shaped Objects Obtained by Various Techniques (2 hours)

    • Software tools for processing digitized data.

    • Techniques for cleaning, repairing, and optimizing 3D models.

    • Preparing digitized models for various applications.

    • Meshroom (AliceVision) – an AI-based photogrammetry software for reconstructing 3D models from photos.

    Lab 7: Comparing the Results of the Digitized Objects. Dissemination of the Achieved 3D Models by Digitization (2 hours)

    • Comparative analysis of results from different digitization methods.

    • Criteria for evaluating the fidelity and quality of 3D models.

    • Methods and platforms for disseminating the final 3D models.

    • Sketchfab AI or Adobe’s Aero – AI-driven tools for optimizing and rendering 3D models for sharing and visualization.

    Each lab is designed to provide hands-on experience with specific digitization equipment and techniques, offering students the opportunity to develop practical skills and understand the nuances of different digitization methods. The final lab focuses on critical evaluation and sharing of the digitized models, integrating the skills learned throughout the course.

    Supporting Infrastructure

    To support the labs and activities, the infrastructure include both hardware and software components, as well as adequate physical facilities. Here’s a breakdown of the supporting infrastructure:


    • 3D Scanners:
      • Creaform VIUScan for Lab 1.
      • Creaform Go!SCAN 20 and Go!SCAN 50 for Lab 2.
      • Artec Space Spider for Lab 3.
    • Computers:
      • High-performance computers capable of running the required AI software and processing large 3D data sets efficiently.
    • Photogrammetry Equipment (for Labs 4 & 5):
      • High-resolution cameras.
      • Stable tripods.
      • Adequate lighting setup.
    • AR/VR Equipment (optional):
      • For advanced visualization and comparison in Lab 7.


    • 3D Processing and AI Software:
      • VXelements AI for Lab 1.
      • VXmodel AI for Lab 2.
      • Artec Studio with AI algorithms for Lab 3.
      • Agisoft Metashape AI or Autodesk ReCap AI for Labs 4 & 5.
      • Meshroom (AliceVision) for Lab 6.
      • Sketchfab AI and Adobe Aero for Lab 7.
    • CAD Software:
      • For designing and modifying digitized parts.

    Physical Facilities

    • Lab Spaces:
      • Dedicated areas for scanning with proper lighting and space for handling objects.
      • Computer labs equipped with necessary hardware and software.
    • Storage:
      • Secure storage for hardware and scanned objects.
      • Digital storage solutions (like servers) for large 3D data files.
    • Networking Infrastructure:
      • High-speed internet connection for software updates and online dissemination.
      • LAN setup for efficient transfer of large data files within the lab.
    • Power Backup:
      • Uninterruptible Power Supply (UPS) systems to ensure consistent operation of equipment.
    • Security and Safety Measures:
      • Security systems to protect expensive equipment.
      • Safety protocols for handling electronic and scanning equipment.

    This infrastructure setup is designed to fully support the range of activities in the labs, ensuring that students have access to the necessary tools and environment to effectively learn and apply 3D digitization techniques.