Published July 5, 2021 | Version v1
Conference paper Open

On the Design of an Object Detection System using Embedded Reconfigurable Logic: Lessons Learned

  • 1. INESC TEC and Faculty of Engineering of the University of Porto

Description

Due to the need to move deep learning computation to the edge, the organizers of the Design Automation Conference (DAC) have launched several editions of the System Design Contest (SDC), focusing on the implementation of neural networks on embedded hardware featuring an FPGA. We describe our approach and gained experience participating in the 2020 edition of the DAC SDC contest, which targets a neural network based object detection algorithm.

Files

REC2021_paper_08 - On the Design of an Object Detection System using Embedded Reconfigurable Logic - Lessons Learned.pdf