FPGA BASED TRAFFIC SIGN DETECTION WITH HIGH RESOLUTION CAMERA
Author(s):
S DEEBAN CHAKRAVARTHI, M BALAKUMAR, S AJITHKUMAR, V KARTHIK, A.VELLINGIRI ME
Keywords:
Abstract
Traffic sign detection plays an important role in a number of practical applications, such as intelligent driver assistance and roadway inventory management. In order to process the large amount of data from either real-time videos or large off-line databases, a high-throughput traffic sign detection system is required. When processing high-definition (1080p) video, it achieves the throughput of 126 frames/s and the energy efficiency of 0.041 J/frame. To efficiently utilize the hardware resources and maximize the detection speed .An FPGA-based accelerator for traffic sign detection using cascade classifiers. In this work, we propose an FPGA-based traffic sign detection based on cascade classifiers. To maximize the throughput and power efficiency. We propose following ideas 1) rearranged numerical operations;2) shared image storage;
Article Details
Unique Paper ID: 145372

Publication Volume & Issue: Volume 4, Issue 9

Page(s): 387 - 390
Article Preview & Download


Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews