CROWDSOURCING RECOGNIZED IMAGE OBJECTS IN MOBILE DEVICES THROUGH MACHINE LEARNING

被引：1

作者：

Giannikis, Athanasios ^{[1
]}

Alepis, Efthimios ^{[1
]}

Virvou, Maria ^{[1
]}

机构：

[1] Univ Piraeus, Dept Informat, Piraeus, Greece

来源：

2021 IEEE 33RD INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2021) | 2021年

关键词：

Android; Object Recognition; Object Counting; Image Detection; Smart-phone; Data Visualization; VEHICLE DETECTION;

D O I：

10.1109/ICTAI52525.2021.00090

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The rapid progress in the deep learning field and high-performance computing, has contributed significantly to the growth of object detection in images techniques. This paper presents the development of an innovative smartphone application, which recognizes and counts objects in images that users offer. As we all know, object detection, is a complicated algorithm that consumes high-performance hardware to be executed in real time. Therefore, because of the limited computational power of smartphones, it is necessary to develop a methodology, so the process of recognizing and counting items, will be achieved effectively in terms of time and resources.

引用

页码：560 / 567

页数：8

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