  Smart doorbells have been playing an important role in protecting our modern
homes. Existing approaches of sending video streams to a centralized server (or
Cloud) for video analytics have been facing many challenges such as latency,
bandwidth cost and more importantly users' privacy concerns. To address these
challenges, this paper showcases the ability of an intelligent smart doorbell
based on Federated Deep Learning, which can deploy and manage video analytics
applications such as a smart doorbell across Edge and Cloud resources. This
platform can scale, work with multiple devices, seamlessly manage online
orchestration of the application components. The proposed framework is
implemented using state-of-the-art technology. We implement the Federated
Server using the Flask framework, containerized using Nginx and Gunicorn, which
is deployed on AWS EC2 and AWS Serverless architecture.
