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
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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