Mobile Edge Computing for Rapid deployment Object Detection System

IF 1.3 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

IET Networks Pub Date : 2022-10-14 DOI:10.1109/IET-ICETA56553.2022.9971583

Ming Han Tsai, Jen-Yeu Chen, Wei-Che Chien

引用次数: 0

Abstract

In the past, the process of transferring data collected by IoT devices or mobile devices has data leakage, personal privacy, and information security issues since object detection systems have mostly sent data to the cloud for processing and storage. To solve this problem, we implement object recognition and tracking function in JavaScript on the front end, and set up the CRUD operation API in Python on the back end, so that users can directly perform object recognition on the computer or mobile browser, and manage the database on the web through the API. It enables the process from deployment to data transfer in a very short time.

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移动边缘计算快速部署目标检测系统

过去，物联网设备或移动设备收集的数据在传输过程中存在数据泄露、个人隐私和信息安全问题，因为物体检测系统大多将数据发送到云端进行处理和存储。为了解决这个问题，我们在前端用JavaScript实现对象识别和跟踪功能，在后端用Python建立CRUD操作API，用户可以直接在计算机或移动浏览器上进行对象识别，并通过API在web上管理数据库。它可以在很短的时间内完成从部署到数据传输的过程。

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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来源期刊

IET Networks COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

5.00

自引率

0.00%

发文量

审稿时长

33 weeks

期刊介绍： IET Networks covers the fundamental developments and advancing methodologies to achieve higher performance, optimized and dependable future networks. IET Networks is particularly interested in new ideas and superior solutions to the known and arising technological development bottlenecks at all levels of networking such as topologies, protocols, routing, relaying and resource-allocation for more efficient and more reliable provision of network services. Topics include, but are not limited to: Network Architecture, Design and Planning, Network Protocol, Software, Analysis, Simulation and Experiment, Network Technologies, Applications and Services, Network Security, Operation and Management.

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