A sample dataset is downloadable at truthbeam.eth over IPFS.
In its basic form the Truth Beam mechanism comprises a video projector and global shutter camera with an exposure time approximately equal to the projector's refresh rate and a computer.
An intialisation vector acquired from an interlocutor (e.g. a blockchain) is used to create a cryptographic feedback loop in this system, i.e. projector[i]=hash(camera_image[i-1],hash[i-1). The top hash of this tree is returned to the interlocutor for timestamping. This proves the approximate time of creation and sequentiality of the projector emissions.
Each cryptographic interval of this system is described by two 3-channel matrices (one for the projector image, one for the camera) and these matrices concatenated and used for training an autoencoder used for anomaly detection.
Things get more advanced later (e.g. a theoretically fully continuous system current being tested in discrete models.)
Feel free to ask any questions; I'm very interested in Hacker News' observations and I'll stick around to chat.
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[ 3.6 ms ] story [ 8.7 ms ] threadAn intialisation vector acquired from an interlocutor (e.g. a blockchain) is used to create a cryptographic feedback loop in this system, i.e. projector[i]=hash(camera_image[i-1],hash[i-1). The top hash of this tree is returned to the interlocutor for timestamping. This proves the approximate time of creation and sequentiality of the projector emissions. Each cryptographic interval of this system is described by two 3-channel matrices (one for the projector image, one for the camera) and these matrices concatenated and used for training an autoencoder used for anomaly detection.
Things get more advanced later (e.g. a theoretically fully continuous system current being tested in discrete models.) Feel free to ask any questions; I'm very interested in Hacker News' observations and I'll stick around to chat.