Serverless video analysis pipeline for autonomous remote monitoring system

Mohammad Rohan, Shurjeel Ahmed, Mohammad Kaleem, Sajid Nazir

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 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. An SMS notification alert is generated and sent to the third-party on object detection. It provides a flexible and economical solution for remote monitoring.
Original languageEnglish
Title of host publicationProceedings of the 2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)
PublisherIEEE
Publication statusAccepted/In press - 8 Oct 2022
Event2022 International Conference on Emerging Technologies in Electronics, Computing and Communication - Mehran University of Engineering & Technology, Jamshoro, Pakistan
Duration: 7 Dec 20229 Dec 2022
https://icetecc.muet.edu.pk/ (Link to conference website)

Conference

Conference2022 International Conference on Emerging Technologies in Electronics, Computing and Communication
Abbreviated titleICETECC 2022
Country/TerritoryPakistan
CityJamshoro
Period7/12/229/12/22
Internet address

Keywords

  • deep learning, cloud computing, autonomous monitoring, false positive, motion detection

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