Blockchain-grade privacy protection in surveillance systems

We propose a solution to increase the privacy of people recorded with security cameras without decreasing the details stored in the videos. We strongly believe that CCTV recordings are a necessary and precious source of information to be analyzed when a crime or other unfortunate events happen; for this reason, we would like to have powerful surveillance systems that are able to hide the identity of the recorded people while allowing subsequent recovery of the data. We use face morphing algorithms in order to transform the faces in such a way that the protected video keeps the original likeness but does not leak sensitive face information. We store the transformed information in a decentralized way and we adopt smart contracts on permissioned blockchains to guarantee that in order to retrieve the data, a collection of trusted authorities must give their consent.