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A Novel Algorithm to Detect and Transmit Human-Directed Signboard Image Text to Vehicle Using 5G-Enabled Wireless Networks

A Novel Algorithm to Detect and Transmit Human-Directed Signboard Image Text to Vehicle Using 5G-Enabled Wireless Networks

Digvijay Pandey, Subodh Wairya
Copyright: © 2022 |Volume: 14 |Issue: 1 |Pages: 11
ISSN: 2637-7888|EISSN: 2637-7896|EISBN13: 9781683183471|DOI: 10.4018/IJDAI.291084
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MLA

Pandey, Digvijay, and Subodh Wairya. "A Novel Algorithm to Detect and Transmit Human-Directed Signboard Image Text to Vehicle Using 5G-Enabled Wireless Networks." IJDAI vol.14, no.1 2022: pp.1-11. http://doi.org/10.4018/IJDAI.291084

APA

Pandey, D. & Wairya, S. (2022). A Novel Algorithm to Detect and Transmit Human-Directed Signboard Image Text to Vehicle Using 5G-Enabled Wireless Networks. International Journal of Distributed Artificial Intelligence (IJDAI), 14(1), 1-11. http://doi.org/10.4018/IJDAI.291084

Chicago

Pandey, Digvijay, and Subodh Wairya. "A Novel Algorithm to Detect and Transmit Human-Directed Signboard Image Text to Vehicle Using 5G-Enabled Wireless Networks," International Journal of Distributed Artificial Intelligence (IJDAI) 14, no.1: 1-11. http://doi.org/10.4018/IJDAI.291084

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Abstract

The emerging 5G telecommunication technology uses novel aspects to fulfill the challenges of high data rate, ultra-low latency, broad bandwidth with the best user experience for text detection in sign board and thereafter transmission of identified information to the vehicles. This is performed on the images which are amorphous in nature or containing scenarios which are random or that cannot be determined. Detecting and transmission of textsover 5G wireless network from the unstructured images aids in many of the additional applications like Optical Character Recognition (OCR) and 5G technolog such as an eMBB, mMTC, and URLLC for quality of service and customer satisfaction.This approach can be used to alert a driver about any road sign even from a captured video by using 5G wireless network irrespective of the weathercondition or any obstacle which may make sign boards difficult to see for drivers. The algorithm uses Maximally Stable Extremal Regions (MSER) feature detector. The algorithm contains several steps which are briefly described in the paper.

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