Person Detection with Deep Learning and IoT for Smart Home Security on Amazon Cloud

Nazir, Sajid; Poorun, Yovin; Kaleem, Mohammad

doi:10.1109/iceccme52200.2021.9591027

Cited by 5 publications

(4 citation statements)

References 18 publications

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“…AWS DeepLens was used as an edge device to develop an intrusion detection system using AWS Rekognition [9]. An application with IoT based motion activated person detection for smart home security on Amazon Cloud was built using AWS Rekognition and AWS IoT [3]. The person detection application integrated Passive Infrared (PIR) sensor for motion activation with Raspberry Pi as an edge device [3].…”

Section: Related Workmentioning

confidence: 99%

“…An application with IoT based motion activated person detection for smart home security on Amazon Cloud was built using AWS Rekognition and AWS IoT [3]. The person detection application integrated Passive Infrared (PIR) sensor for motion activation with Raspberry Pi as an edge device [3]. A video surveillance system utilizing Raspberry Pi, IoT Greengrass, and Lambda used the Amazon Kinesis video for a live feed and Amazon Simple Notification System (SNS) for sending SMS notifications [10].…”

Section: Related Workmentioning

confidence: 99%

“…Similarly, the face recognition facility in AWS Rekognition could be used to identify the person in the captured image. By providing a set of images of authorized persons in an S3 bucket, it can be easily inferred if the approaching person should be allowed an entry or not [3].…”

Section: B Other Application Scenariosmentioning

confidence: 99%

“…The critical infrastructures such as airports, oil refineries are spread over a large area and require round-the-clock monitoring to guard against any untoward incident. The large-scale deployment of cameras can provide information on trespassing, or illegal entry by analyzing the videos and images on the cloud [3]. With Video Surveillance as a Service (VSaaS) it is easier and economical to build video monitoring applications [4].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Serverless Video Analysis Pipeline for Autonomous Remote Monitoring System

Rohan

Ahmed

Kaleem

et al. 2022

2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC)

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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.

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Section: Related Workmentioning

confidence: 99%