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.

翻译：智能门铃等产品和服务的设计展示了视频分析软件/算法功能,预计这种产品和服务的设计将满足一种新的要求,例如设计一种可扩展的解决办法,同时考虑成本和准确性之间的权衡;一个灵活的结构,随着用户需求的演变,部署新的基于AI的模型或更新现有的模型;以及无缝地整合不同种类的用户界面和装置。为了应对这些挑战,我们提议一个智能门铃,在边缘和云层资源之间安排视频分析。 该提案利用AWS作为实施的基础平台,并利用商业上可用的非Self(COTS)等负担得起的装置,如“干莓皮”(Raspberry Pi),以“电磁装置”的形式。