Driver Monitring System

Developed a system for monitoring the drivers to avoid drowsiness by detecting his/her state while driving using IR

camera and different cutting edges.

• I joined as a deep learning engineer on this graduation project. We used different CNNs, LSTM, and GRU models to

detect the driver's state.

• We reduced our large dataset to be appropriate for our computational resources and used online training.

• We performed well on the deployment of our models on different platforms, like the Jetson Nano and Android.

• We are working on a research paper that we will publish soon.

• Used Python, Pandas, TensorFlow, Matplotlib, MediaPipe, Dlib, CV2 and TF Quantization.