This session provides a deep-dive technical session on how to develop, simulate and test machine vision algorithms with MATLAB toolsets like computer vision system and image processing on NXP S32V microprocessors. The MATLAB automatically generated code will be executed on the S32V234 SBC boards on Arm and APEX cores simultaneous to squeeze an excellent performance. The session will concentrate on feature detection for driver monitoring and will showcase various concepts like object detection using Viola-Jones, tracking a ROI using Kalman filters and various feature detection using Haar cascades classifiers. At the end of the session the participants will be able to develop, from scratch, complex algorithms for detecting various features like: pedestrians, traffic signs, lane departure, etc. and do all these from a simple and user-friendly environment like MATLAB.
Ask our NXP Connects community and get expert advice.