BED: A Real-Time Object Detection System for Edge Devices. (arXiv:2202.07503v2 [cs.CV] UPDATED)

Web: http://arxiv.org/abs/2202.07503

Deploying deep neural networks~(DNNs) on edge devices provides efficient and
effective solutions for the real-world tasks. Edge devices have been used for
collecting a large volume of data efficiently in different domains. DNNs have
been an effective tool for data processing and analysis. However, designing
DNNs on edge devices is challenging due to the limited computational resources
and memory. To tackle this challenge, we demonstrate Object Detection System
for Edge Devices~(BED) on the MAX78000 DNN accelerator. It integrates on-device
DNN …

arxiv cv detection devices edge edge devices real-time time