Visual Data Collection for Quality Control (Pilot)

Type of course:

Digital learning, Lesson

Language:

Duration:

10 minutes

Workload:

2 hours

Proficiency:

Intermediate

Target:

Manager, Professionals, Workers

SUMMARY

Have you ever wondered how a camera’s resolution or sensor type could make or break a critical inspection process? Or how autonomous vehicles “see” the world with nothing but data from sensors? “The quality of your data is the quality of your insights.”

In this course, we dive deep into the world of visual data collection—how to gather accurate, actionable information using the latest camera technology. This isn’t just about taking pictures; it’s about making sure every pixel counts, every image tells a story, and every sensor captures the right details.

So, are you ready to discover the world through a new lens and take control of the data that drives your quality control decisions? This is your opportunity to learn how the right visual data can lead to precision, efficiency, and innovation in your work!

About The Author

Dilek Dustegor is a Professor of Computing Science at the University of Groningen in the Netherlands. She is interested in bridging the gaps between research, development and implementation using AI and automation. She is pursuing research about modeling, design and analysis of large scale / networked systems using IoT and ML techniques, with a special interest in smart city applications. She is a seasoned educator, and loves using the newest educational technologies for an enhanced learning experience.

Learning outcomes

By the end of this lesson, students will be able to explain the relationship between camera quality (including resolution and sensor specifications) and the accuracy of visual data collection.
By the end of this lesson, students will be able to describe various methods for collecting and processing visual data, including real-time video analysis, high-resolution image capture, and 3D scanning.
By the end of this lesson, students will be able to match real-world applications where visual data collection is critical with the appropriate technology for specific tasks.