Demonstration of a Cloud-based Software Framework for Video Analytics Application using Low-Cost IoT Devices
Bhavin Joshi, Tapan Pathak, Vatsal Patel, Sarth Kanani and, Pankesh Patel, Muhammad Intizar Ali, John Breslin

TL;DR
This paper presents a cloud-based video analytics framework using low-cost IoT devices like Raspberry Pi, demonstrating scalable, flexible, and integrated smart doorbell solutions leveraging AWS cloud services.
Contribution
It introduces a novel architecture combining edge and cloud resources for scalable video analytics on affordable IoT devices.
Findings
Successful deployment of a smart doorbell prototype
Effective integration of edge and cloud analytics
Cost-effective solution with scalable performance
Abstract
The design of products and services such as a Smart doorbell, demonstrating video analytics software/algorithm functionality, is expected to address a new kind of requirements such as designing a scalable solution while considering the trade-off between cost and accuracy; a flexible architecture to deploy new AI-based models or update existing models, as user requirements evolve; as well as seamlessly integrating different kinds of user interfaces and devices. To address these challenges, we propose a smart doorbell that orchestrates video analytics across Edge and Cloud resources. The proposal uses AWS as a base platform for implementation and leverages Commercially Available Off-The-Shelf(COTS) affordable devices such as Raspberry Pi in the form of an Edge device.
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Taxonomy
TopicsVideo Surveillance and Tracking Methods · IoT and Edge/Fog Computing · Video Analysis and Summarization
