Abstract: Systems, methods, and apparatuses for proactive generation of biometric signatures are described. Based on a first biometric signature matching a first authenticated signature, an indication of portions of the biometric input that will be different after a second time may be generated. A second authenticated signature based on the indication and the biometric input received at the first time may be generated. A second biometric signature based on the indication and the biometric input received after a second time may be generated. Based on the second biometric signature matching the second authenticated signature, a prompt requesting authorization to generate a third authenticated signature based on the biometric input received after the second time may be generated. Based on receiving authorization to generate a third authenticated signature, a third authenticated signature may be generated.

Abstract: The invention pertains to methods for monitoring the operational status of a home automation system through extrinsic visual and audible means. Initial training periods involve capturing image and audio data representative of nominal operation, which is then processed to identify operational indicators. Unsupervised machine learning models are trained with these indicators to construct a model of normalcy and identify expectation violations in the system's operational pattern. After meeting specific stopping criteria, real-time monitoring is initiated. When an expectation violation is detected, contrastive collages or sequences are generated comprising nominal and anomalous data. These are then transmitted to an end user, effectively conveying the context of the detected anomalies. Further features include providing deep links to smartphone applications for home automation configuration and the use of auditory scene analysis techniques.

Abstract: The invention pertains to methods for monitoring the operational status of a home automation system through extrinsic visual and audible means. Initial training periods involve capturing image and audio data representative of nominal operation, which is then processed to identify operational indicators. Unsupervised machine learning models are trained with these indicators to construct a model of normalcy and identify expectation violations in the system's operational pattern. After meeting specific stopping criteria, real-time monitoring is initiated. When an expectation violation is detected, contrastive collages or sequences are generated comprising nominal and anomalous data. These are then transmitted to an end user, effectively conveying the context of the detected anomalies. Further features include providing deep links to smartphone applications for home automation configuration and the use of auditory scene analysis techniques.

Abstract: The invention pertains to methods for monitoring the operational status of a home automation system through extrinsic visual and audible means. Initial training periods involve capturing image and audio data representative of nominal operation, which is then processed to identify operational indicators. Unsupervised machine learning models are trained with these indicators to construct a model of normalcy and identify expectation violations in the system's operational pattern. After meeting specific stopping criteria, real-time monitoring is initiated. When an expectation violation is detected, contrastive collages or sequences are generated comprising nominal and anomalous data. These are then transmitted to an end user, effectively conveying the context of the detected anomalies. Further features include providing deep links to smartphone applications for home automation configuration and the use of auditory scene analysis techniques.

Abstract: Systems and methods related to a variable non-fungible token that dynamically update metadata during blockchain functions. A variable non-fungible token comprises a non-fungible token that is minted with an indication of a non-transferable ownership wallet (e.g., a digital wallet for which the non-fungible token is minted for), a non-transferable smart contract address that has permissions for updating metadata for the variable non-fungible token, and a metadata property threshold based on a specific user corresponding to the digital wallet.

Abstract: Systems and methods related to integrating blockchain functions with external systems using a variable non-fungible token. A variable non-fungible token comprises a non-fungible token that is minted with an indication of a non-transferable ownership wallet (e.g., a digital wallet for which the non-fungible token is minted for), a non-transferable smart contract address that has permissions for updating metadata for the variable non-fungible token, and a metadata property threshold based on a specific user corresponding to the digital wallet.

Abstract: Systems and methods related to a variable non-fungible token. A variable non-fungible token comprises a non-fungible token that is minted with an indication of a non-transferable ownership wallet (e.g., a digital wallet for which the non-fungible token is minted for), a non-transferable smart contract address that has permissions for updating metadata for the variable non-fungible token, and a metadata property threshold based on a specific user corresponding to the digital wallet.