Details
Presenter(s)
![Herming Chiueh Headshot](https://confcats-catavault.s3.amazonaws.com/CATAVault/ieeecass/master/files/styles/cc_user_photo/s3/user-pictures/10409_0.jpg?h=f6c0c716&itok=5jRvKpJ2)
Display Name
Herming Chiueh
- Affiliation
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AffiliationNational Yang Ming Chiao Tung University
- Country
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CountryTaiwan
Abstract
In this paper, issues in design of an SoC based object-detection will be discussed, and an on-going hardware design base on YOLO algorithm and ARC Platform will be presented. With the optimization in both numbers of Processing Elements and Memory Bandwidth, A 176.3 GOPs CNN accelerator with 30 fps performance at 400MHz is presented. In addition to the Object- Detection engine, a ZCA image preprocessor and NMS postprocessing are also proposed to simplify the corresponding CNN model and enhance the real-time performance of Object- Detection. The emulation results and demonstration videos in the ARC platform will be presented. The post-layout simulation of current design verified the targeting real-time performance in a 28nm CMOS technology.