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

Digvijay Pandey, Subodh Wairya
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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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一种利用5g无线网络检测并向车辆传输人为导向的招牌图像文本的新算法
新兴的5G通信技术以新颖的方式应对高数据速率、超低延迟、宽带宽和最佳用户体验的挑战,实现标识牌文本检测,并将识别信息传输到车辆。这是在本质上无定形或包含随机或无法确定的场景的图像上执行的。通过5G无线网络从非结构化图像中检测和传输文本有助于许多其他应用,如光学字符识别(OCR)和5G技术,如eMBB、mMTC和URLLC,以提高服务质量和客户满意度。这种方法可以通过5G无线网络捕捉到的视频提醒驾驶员注意任何路标,而不受天气条件或任何可能使驾驶员难以看到路标的障碍物的影响。该算法采用最大稳定极值区域(MSER)特征检测器。该算法包含几个步骤,本文对其进行了简要描述。
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