International Display Workshops General Incorporated Association

14:50 〜 15:10

[DES1-1] Lensless Driver Monitor System with Deep Learning

*Tzu-Yuan Huang1, Chieh-En Lee1, Jia-Lun Wu1, Chung-Hao Tien1 (1. National Yang Ming Chiao Tung University (Taiwan))

Lensless imaging, Driver monitor system, Deep learning

https://doi.org/10.36463/idw.2023.1034

In order to mitigate the probability of accidents caused by distracted driving, we proposed a lensless driver monitor system that utilized deep learning model to ascertain the state of driver. The proposed system can protect the divers' privacy and achieve 96.95% accuracy, 97.17% sensitivity and 96.88% specificity on testing data.