Patents Assigned to Loyalty Angels Ltd.
  • Patent number: 11281932
    Abstract: A data extraction system for extracting a unique identifier from a plurality of different types of tokens, the data extraction system comprising a central processing system arranged to receive a data string representing an image of the token, the central processing system comprises: a data store of predetermined data records relating to the plurality of different types of token, each predetermined data record including a plurality of discrete features derived from an image of each type of token; a token type recognition module for identifying a type of token which the representation relates to, the recognition module comprising: a discrete feature identifier for iteratively identifying discrete features present in the representation; and a matching engine for iteratively comparing each of the identified features with each of the discrete features of the plurality of different types of token stored in the data store and registering each matched feature; wherein the recognition module is arranged to compare a c
    Type: Grant
    Filed: May 13, 2020
    Date of Patent: March 22, 2022
    Assignee: Loyalty Angels Ltd
    Inventors: Lee David Clarke, Gregory Peter Gormley
  • Publication number: 20200272846
    Abstract: A data extraction system for extracting a unique identifier from a plurality of different types of tokens, the data extraction system comprising a central processing system arranged to receive a data string representing an image of the token, the central processing system comprises: a data store of predetermined data records relating to the plurality of different types of token, each predetermined data record including a plurality of discrete features derived from an image of each type of token; a token type recognition module for identifying a type of token which the representation relates to, the recognition module comprising: a discrete feature identifier for iteratively identifying discrete features present in the representation; and a matching engine for iteratively comparing each of the identified features with each of the discrete features of the plurality of different types of token stored in the data store and registering each matched feature; wherein the recognition module is arranged to compare a c
    Type: Application
    Filed: May 13, 2020
    Publication date: August 27, 2020
    Applicant: Loyalty Angels Ltd
    Inventors: Lee David Clarke, Gregory Peter Gormley
  • Patent number: 10713526
    Abstract: A data extraction system for extracting a unique identifier from a plurality of different types of tokens, the data extraction system comprising a central processing system arranged to receive a data string representing an image of the token, the central processing system comprises: a data store of predetermined data records relating to the plurality of different types of token, each predetermined data record including a plurality of discrete features derived from an image of each type of token; a token type recognition module for identifying a type of token which the representation relates to, the recognition module comprising: a discrete feature identifier for iteratively identifying discrete features present in the representation; and a matching engine for iteratively comparing each of the identified features with each of the discrete features of the plurality of different types of token stored in the data store and registering each matched feature; wherein the recognition module is arranged to compare a c
    Type: Grant
    Filed: November 23, 2016
    Date of Patent: July 14, 2020
    Assignee: Loyalty Angels Ltd.
    Inventors: Lee David Clarke, Gregory Peter Gormley
  • Publication number: 20180357506
    Abstract: A data extraction system for extracting a unique identifier from a plurality of different types of tokens, the data extraction system comprising a central processing system arranged to receive a data string representing an image of the token, the central processing system comprises: a data store of predetermined data records relating to the plurality of different types of token, each predetermined data record including a plurality of discrete features derived from an image of each type of token; a token type recognition module for identifying a type of token which the representation relates to, the recognition module comprising: a discrete feature identifier for iteratively identifying discrete features present in the representation; and a matching engine for iteratively comparing each of the identified features with each of the discrete features of the plurality of different types of token stored in the data store and registering each matched feature; wherein the recognition module is arranged to compare a c
    Type: Application
    Filed: November 23, 2016
    Publication date: December 13, 2018
    Applicant: Loyalty Angels Ltd.
    Inventors: Lee David CLARKE, Gregory Peter GORMLEY