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The deep-dive Machine Vision Algorithm development and simulation with NXP Vision Toolbox for MATLAB® on S32V processors webinar is focusing on Feature Detection for Driver Monitoring System (DMS) and will showcase different concepts like object detections using Viola-Jones, tracking a region of interest using Kalman filters, and some feature detection using HAAR cascades classifiers.
Daniel Popa (Senior Technical Lead MBDT – Automotive Microcontrollers and Processors, NXP) and Phil Pesses (Senior Technical Product Marketing Engineer – Automotive Microcontrollers and Processors, NXP) will give a technical session on developing, simulating, and testing Machine Vision algorithms with MATLAB toolsets like Computer Vision System and Image Processing on NXP S32V vision processors. The MATLAB automatic generated C++ code will be executed on the on ARM and APEX cores simultaneous to squeeze the best performance.
JOIN THIS WEBINAR and learn how to:
- Develop complex algorithms from scratch to detect different feature (like pedestrians, traffic signs or lane departure)
- Do all these from a simple and user-friendly environment like MATLAB without the need to know anything about the NXP Vision Accelerator instruction set or how the processor works.
When and Where
Start Time:Feb 11, 2019 4:00 AM CDT (America/Chicago)
End Time:Mar 11, 2019 6:00 AM CDT (America/Chicago)
Event Visibility & Attendance Policy:Open