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

June 20, 2022, 1:13 a.m. | Guanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang, Yi-Wei Chen, Daochen Zha, Alfredo Costilla Reyes, Afshin Niktash, Gorkem Ulkar, Erman Okman, Xia Hu

cs.CV updates on arXiv.org arxiv.org

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

arxiv cv detection devices edge edge devices real-time time

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