Introduction to Magnifi 5.0 AI detection tool

With the launch of Magnifi 5.0, Eddyfi Technologies invites you to an online or in-person classroom to introduce the new features.

Presented by our tubing technologies product manager David Veilleux, this session will give information on: 

  1. AI-based detection engine for ECT Tubing data
    • Explanation of the patent-pending process developed by Eddyfi
    • Detection capabilities and current limitations
    • How to set up and activate the detection for both, landmarks and indications
    • Review of sample data results
  2. New analysis features to increase productivity:
    • Logbook option to maximize the use of AI screening results
    • DQV tests using AI landmark detection to validate full tube-length data was acquired
    • Grouping tool to identify the most essential indications based on user-defined parameters
    • Data list filtering and sorting capabilities to hide/show data files based on logbook or report entries
  3. New cloud-based licensing
    • Explanation on how the new system works
    • The transition restriction and intended use.
    • The Migration procedure to remove the transition restriction 

If requested, a 30-day demo license can be provided to participants.

You can either reserve your seat for an in-person event in Houston or Edmonton, or register for an online event.

Price:

No Dates


Tell us what you need. We can make it happen.

e-Learning: 30 minutes
Classroom: 2 hours
Free Tubing e-Learning courses

Testimonials

I am traditionally not supportive of computer based training (CBT). Your training on the PEC is however, first class. I commend you and your staff. Very well organized, presented and the content is remarkable. You have taken many of the small things that plague technicians and addressed them head on. Where Eddyfi’s training was meager you have set a new standard in CBT.


NDT Manager

The online help from the Eddyfi Representative was very good. The presentation of the course was also great. Thank you.


NDT Technician