Mahadev Satyanarayanan: Using Edge Computing for Privacy in Real Time Video Analytics скачать в хорошем качестве

Mahadev Satyanarayanan: Using Edge Computing for Privacy in Real Time Video Analytics

Live video offers several advantages relative to other sensing modalities. It is flexible and open-ended: new image and video processing algorithms can extract new information from existing video streams. It offers high resolution, wide coverage, and low cost relative to other sensing modalities. Its passive nature means that a participant does not have to wear a special device, install an app, or do anything special. He or she merely has to be visible to a camera. Privacy is clearly a major concern with video in public spaces. In this talk, I will describe how Edge Computing can be used to denature live video thereby making it “safe” from a privacy point of view. Using OpenFace, our new open-source face recognition system that approaches state-of-the-art accuracy, we are able to selectively obscure faces according to user-specified policies at full frame rate. This enables privacy management for live video analytics while providing a secure approach for handling retrospective policy exceptions. About the speaker Satya’s multi-decade research career has focused on the challenges of performance, scalability, availability and trust in information systems that reach from the cloud to the mobile edge of the Internet. In the course of this work, he has pioneered many advances in distributed systems, mobile computing, pervasive computing, and the Internet of Things (IoT). Most recently, his seminal 2009 publication “The Case for VM-based Cloudlets in Mobile Computing” and the ensuring research has led to the emergence of Edge Computing (also known as “Fog Computing”). Satya is the Carnegie Group Professor of Computer Science at Carnegie Mellon University. He received the PhD in Computer Science from Carnegie Mellon, after Bachelor’s and Master’s degrees from the Indian Institute of Technology, Madras. He is a Fellow of the ACM and the IEEE. “For a more detailed bio, see Satya’s Wikipedia entry.