Curriculum
Step-by-step 7-day program to master equipment monitoring using computer vision, tailored for real-world industrial applications.
Step-by-step 7-day program to master equipment monitoring using computer vision, tailored for real-world industrial applications.
Foundations of Computer Vision
Cameras & Data Collection
Image Processing Essentials
Object Detection Methods
Detecting Anomalies
Data Interpretation & Analysis
Project Implementation
Each day delivers a hands-on module with practical exercises and clear outcomes.
Understand the core principles and industrial impact of computer vision. Learn about typical workflows, challenges, and opportunities for proactive equipment monitoring.
Learn to select, position, and configure cameras. Explore the basics of video streams and effective methods for reliable data collection on the plant floor.
Dive into core OpenCV techniques: filtering, thresholding, and extracting meaningful information from camera feeds.
Apply classical and machine learning methods for object detection. Work with pre-trained models and annotate your own data for targeted detection tasks.
Identify subtle signs of abnormal behavior in machinery using CV. Recognize visual patterns linked to common failure modes.
Learn to interpret the data generated by your CV system. Use charts and dashboards to gain actionable insights and inform your maintenance strategy.
Apply your skills to design a monitoring solution for a chosen piece of equipment—end-to-end. Present your results and gain feedback for further development.
OpenCV
TensorFlow
PyTorch
Scikit-learn
Develop practical industry skills with trusted open-source technology throughout the course.
Register to access the full curriculum, hands-on materials, and support from mentors. You’ll learn at your own pace and gain skills to implement CV-based monitoring in real industrial settings.
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