Architecting a Smart Home Monitoring System with Millions of Cameras

Wednesday, May 23, 2:10 PM - 2:40 PM
Summit Track: 
Technical Insights II
Room 203/204

Video monitoring is a critical capability for the smart home. With millions of cameras streaming to the cloud, efficient and scalable video analytics becomes essential. To create a cost-effective smart home monitoring system that appeals to consumers, we have architected and implemented a cost-effective and scalable video analytics system that detects events of interest and delivers them to consumers. To enable this, we developed a hybrid edge-cloud computing solution, and innovated efficient deep learning based algorithms to detect events of interest. In this talk, we explore the trade-offs that informed our decisions in designing, implementing and deploying this system for millions of Xfinity Home customers.


Hongcheng Wang

Senior Manager of Technical R&D, Comcast

Hongcheng Wang manages the research team of Computer Vision and Deep Learning in Comcast Applied AI Research. He and his team focus on developing scalable machine learning and video analytics technologies for multimedia content discovery and smart home intelligence, which have been deployed to millions of users with enhanced customer experience. Previously, he worked for United Technologies Research Center as a Principal Investigator on autonomy and security applications. He has published 40+ technical papers, and holds 40+ patents and patent applications. He holds a PhD in computer engineering from the University of Illinois at Urbana-Champaign (UIUC).

See you at the Summit! May 20-23 in Santa Clara, California!