Solving complex, human-centric computer vision challenges

Thursday, July 7 | 11 am ET | 5 pm CEST

As camera-based safety technologies become mandatory in commercial vehicles to protect passengers, pedestrians and cyclists, computer vision has a pivotal role to play in creating a safer world.

In this webinar, hear from Motec, an Ametek company manufacturing heavy-duty camera solutions, on how they are mixing real and synthetic data to enhance neural network training. Join the webinar to:

  • Learn how they solve complex computer vision tasks, including human detection, without acquiring additional annotated, costly real-world data
  • Discover why they turned to synthetic data and their experience working with Unity's computer vision experts to generate hundreds of thousands of synthetic images to improve training results and performance
  • Ask your questions to Motec's team live in a Q&A session
Up to 500 characters


Viktor Seib
Developer, Machine Vision, Motec

Viktor Seib is a machine vision developer at Motec, an Ametek company that manufactures heavy-duty camera solutions for commercial vehicles and mobile machinery. He is a widely recognized expert in the field and has published over 40 research papers on robotics, machine learning and machine vision.


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