Real-Time Recognition of Signboards with Mobile Device using Deep Learning for Information Identification Support System

Shigeo Kitamura, Kota Kita, Mitsunori Matsushita
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Abstract

In this paper, a framework that uses deep learning on a server to recognize signboards in streets with mobile devices is proposed. The proposed framework enables a user to determine the type of shops in his/her location. Our experimental results revealed that the proposed framework recognized signboards with an 86% accuracy within 1 second.
基于深度学习的移动设备标牌实时识别信息识别支持系统
本文提出了一个在服务器上使用深度学习来识别带有移动设备的街道广告牌的框架。建议的框架使用户能够确定他/她所在位置的商店类型。实验结果表明,该框架在1秒内识别标识的准确率为86%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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