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IBM has filed a patent for a blockchain-based system that will prevent players of augmented reality games from entering undesirable physical spaces.
They cite as examples "high-risk places, culturally sensitive places, places marked by the owners". Augmented reality is a technology that adds layers to physical reality. An example is Zombie GO, an AR game that puts zombies in real life or perhaps the most famous example, Pokemon Go. AR can, however, have other applications besides games, such as displaying historical views of positions.
The purpose of the technology that IBM seeks to patent is to improve the political and real use of AR in physical space, in an attempt to prevent AR collisions with positions that are undesirable by either party. . An attack vector in position-based AR games is when "actors or users can profile a malicious site for different purposes (for example, deceiving players by falsifying the profile of a position where you can place the ARC)."
IBM uses Blockchain to keep AR players out of trouble
The blockchains will be used in the patented system to accurately document information on the positions used in such games and systems.
Therefore, it is important that the system verifies / validates any transaction related to the position. Accordingly, method 300 includes monitoring 310 or verification of recommended locations, labels or tags using a system based on localization / label / tag blockchain. The blockchain system tracks, securely stores and maintains position-related transactions along with other position metadata. A blockchain is a distributed database that maintains an ever-growing list of hardened data records against tampering and revisions. It consists of blocks of data structures, which only contain data in initial blockchain implementations and data and programs in some of the most recent implementations, with each block containing batches of individual transactions and the results of any blockchain executable. Each block contains a timestamp and information (eg a hash of a previous block) that links it to a previous block.
The system will also include a neural network that will learn the results of interactions in various locations and record the data in the blockchain used.
Therefore, risk prediction can occur based on the rules learned from the cognitive neural network from past transactions in the blockchain, for example, a pattern of many user movements combined with discrete results such as incident reports, complaints against users, etc. By executing the learned rules on more recent patterns of user movements, it is possible for the cognitive neural network to identify potential risks for users with varying degrees of confidence.
The patent process can be long and it may take years before IBM releases a product based on the new patent. For years, IBM has been involved in blockchain space at various levels, focusing primarily on corporate customers, but its involvement in entertainment has been rare.
Shutterstock foreground image.
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