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.


Shounak Mitra
Senior Product Manager, Unity Technologies

Shounak is a Senior Product Manager on the Computer Vision team at Unity, focused on tooling and workflows around synthetic data generation in AI driven systems.Over the last few years, he has worked on releasing multiple products rooted in machine learning, identifying ML market opportunities across different industry verticals and AI workflows.


Please enable Javascript in your browser in order to continue.