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.
Watch this webinar to:
- 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.
- 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.
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.
Quick jump to:
01:15 – Unity Computer Vision solution overview
09:45 – Motec presentation from Viktor Seib – Developing assistance systems with synthetic data
43:00 – Q&A