Mohammad Rohan, Shurjeel Ahmed, Mohammad Kaleem, S. Nazir
{"title":"Serverless Video Analysis Pipeline for Autonomous Remote Monitoring System","authors":"Mohammad Rohan, Shurjeel Ahmed, Mohammad Kaleem, S. Nazir","doi":"10.1109/ICETECC56662.2022.10068884","DOIUrl":null,"url":null,"abstract":"Cloud computing is the delivery of computing services including servers, storage, databases, networking, software, and analytics over the Internet. The businesses can store the data and run applications in the cloud with a high availability, accessibility from anywhere with a web browser, and on pay-per-use basis. Public cloud platforms make it possible for anyone to deploy end-to-end applications easily and economically. The cloud hosting for business applications provides the additional benefits of security, elasticity, and logging compared to an in-house private cloud.In this paper, we describe the implementation of a serverless remote video monitoring solution on the Amazon Web Services (AWS) cloud. It can provide surveillance of an area against unauthorized access, identification of objects in the scene, and investigating security incidents. This autonomous prototype application provides a frame-by-frame object detection of the live video. A Short Message Service (SMS) notification alert is generated and sent to the third-party on detecting an object of interest. It provides a flexible and economical solution for remote monitoring.","PeriodicalId":364463,"journal":{"name":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETECC56662.2022.10068884","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Cloud computing is the delivery of computing services including servers, storage, databases, networking, software, and analytics over the Internet. The businesses can store the data and run applications in the cloud with a high availability, accessibility from anywhere with a web browser, and on pay-per-use basis. Public cloud platforms make it possible for anyone to deploy end-to-end applications easily and economically. The cloud hosting for business applications provides the additional benefits of security, elasticity, and logging compared to an in-house private cloud.In this paper, we describe the implementation of a serverless remote video monitoring solution on the Amazon Web Services (AWS) cloud. It can provide surveillance of an area against unauthorized access, identification of objects in the scene, and investigating security incidents. This autonomous prototype application provides a frame-by-frame object detection of the live video. A Short Message Service (SMS) notification alert is generated and sent to the third-party on detecting an object of interest. It provides a flexible and economical solution for remote monitoring.