  As road accident cases are increasing due to the inattention of the driver,
automated driver monitoring systems (DMS) have gained an increase in
acceptance. In this report, we present a real-time DMS system that runs on a
hardware-accelerator-based edge device. The system consists of an InfraRed
camera to record the driver footage and an edge device to process the data. To
successfully port the deep learning models to run on the edge device taking
full advantage of the hardware accelerators, model surgery was performed. The
final DMS system achieves 63 frames per second (FPS) on the TI-TDA4VM edge
device.
