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.
翻译:随着由于驾驶员不注意事故案件的增加,自动驾驶员监测系统(DMS)已经获得了越来越多的认可。在本报告中,我们提出了一个实时DMS系统,该系统在基于硬件加速器的边缘设备上运行。该系统由红外摄像机记录驾驶员镜头和边缘设备处理数据组成。为了成功地将深度学习模型移植到边缘设备上,并充分利用硬件加速器,进行了模型手术。最终的DMS系统在TI-TDA4VM边缘设备上实现了63帧每秒(FPS)。