Blockchain Cameras for Truth Authentication
In the era of post-truth, where deepfakes and hyper real simulations trick the human cognition, Currensee proposes the use of algorithmically enhanced collaborative seeing mechanisms in order to authenticate truth through multiple perspectives: increasing the resolution of an event by streaming a wider range of points of view.
Most images produced today are embedded with spatial metadata, often being localised to GPS-specific locations. When coupled with multiple real-time cameras and sensory inputs, it creates an information-rich virtual space that provides decentralized perspectives to events. Inspired by the collaborative machine vision between autonomous cars, Current speculates on the potential of this network of blockchain cameras to authenticate truth. If all surveillance cameras, sensors and streaming devices were geo-located and connected on a decentralized network: would it be possible to access a high resolution verifiable point cloud of our environment and its events?