A Demonstration of Smart Doorbell Design Using Federated Deep Learning

Smart doorbells have been playing an important role in protecting Furthermore, the processing and storage of multiple video streams our modern homes. Existing approaches of sending video streams make the subscription more costly. Secondly, this design requires to a centralized server (or Cloud) for video analytics have been a huge amount of reliable bandwidth, which may not always be facing many challenges such as latency, bandwidth cost and more had. Third, even if we assume that we could address latency and importantly users' privacy concerns. To address these challenges, bandwidth issue by empowering a sophisticated infrastructure, a this paper showcases the ability of an intelligent smart doorbell large class of video-based applications may not be suitable because based on Federated Deep Learning, which can deploy and manage of regulations and security concerns of sharing data as there is an video analytics applications such as a smart doorbell across Edge involvement of biometric data of residents.