Design of ADAS Fatigue Control System using Pynq z1 and Jetson Xavier NX

Author:

Kortli Yassin1,Gabsi Souhir1,Lew Yan Voon Lew F. C.2,Jridi Maher3

Affiliation:

1. University of Monastir,Electronic and Micro-Electronic Laboratory, Faculty of Sciences of Monastir,Tunisia

2. Université de Bourgogne,Laboratoire ImViA,France

3. LABISEN,VISION-AD, ISEN Site de Nantes,Carquefou,France,44470

Publisher

IEEE

Reference13 articles.

1. Real-Time Multi-Stage Deep Learning Pipeline for Facial Recognition by Service Robots;pereira,2021

2. MTCNN and FACENET Based Access Control System for Face Detection and Recognition;wu;Automatic Control and Computer Sciences,2021

3. Robust Real-Time Face Detection

4. Rapid object detection using a boosted cascade of simple features

5. A comparative study of CFs, LBP, HOG, SIFT, SURF, and BRIEF techniques for face recognition;kortli;Pattern Recognition and Tracking XXIX,2018

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