Computer vision based technologies have seen widespread adoption over  the recent years. This use is not limited to the rapid adoption of  facial recognition technology but extends to facial expression  recognition, scene recognition and more. These developments raise  privacy concerns and call for novel solutions to ensure adequate user  awareness, and ideally, control over the resulting collection and use of  potentially sensitive data. While cameras have become ubiquitous, most  of the time users are not even aware of their presence. In this paper we  introduce a novel distributed privacy infrastructure for the  Internet-of-Things and discuss in particular how it can help enhance  user's awareness of and control over the collection and use of video  data about them. The infrastructure, which has undergone early  deployment and evaluation on two campuses, supports the automated  discovery of IoT resources and the selective notification of users. This  includes the presence of computer vision applications that collect data  about users. In particular, we describe an implementation of  functionality that helps users discover nearby cameras and choose  whether or not they want their faces to be denatured in the video  streams.

Das, A., Degeling, M., Wang, X., Wang, J., Sadeh, N., Satyanarayanan, M.
Proceedings of the First International Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2017), Honolulu, HI, July 2017