Audience: Engineers who implement machine vision solutions for assembly, inspection and guidance tasks in prototype and production environments. Engineers with all levels of experience welcome.
In this workshop, you’ll master:
| MODULE | TOPICS |
|---|---|
| Calibration Fundamentals | Camera modeling, distortion analysis, reprojection metrics Sources of uncertainty in calibration and introduction to Quartus’ unique PixelTraq technology |
| Software Implementation | Standardized workflows for integrating camera models in MATLAB, Python, OpenCV and C++ |
| Machine Vision Applications | Surface defect detection, dimensional inspection, camera alignment, robot guidance Single calibrated cameras for feature/tag detection |
| Integration with Machine Learning Networks | Combine calibrated camera models with cutting-edge deep learning architectures for object and feature detection in single and multi-camera systems Point-cloud mapping stereo camera for 3D applications |
Modules will include hands-on hardware and software demos with a variety of machine vision cameras, lenses, and calibrated systems.
Reduce false positives in inspection
Improve accuracy in depth & stereo calibration
Enable high-yield production workflows with precision input
Improve reproducibility in test stations
RSVP by October 10, 2025
Fully Booked! Please Register to Get on the Waitlist
Thank you for joining the waitlist! We'll reach out if a spot becomes available.
Please reach out to Dwight Evard or Nitin Sampat for any additional questions.
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