Demonstration of a Cloud-based Software Framework for Video Analytics Application using Low-Cost IoT Devices

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.