Abstract: A method of verifying a device location includes receiving a provisional location for a first device, setting a baseline location confidence value for the provisional location, determining a first network environment of the first device, and receiving one or more location reports each including a location for another device in the first network environment. For each received location report, the location in the location report is compared with the provisional location of the first device and a distance is calculated; and an adjustment to the location confidence value of the first device is calculated based on the calculated distance. An output location confidence value is generated for the provisional location of the first device based on the baseline location confidence value and the adjustment calculated for each received location report.

Abstract: A system and method is disclosed for detecting whether a photograph is of a flat surface, e.g. a “photograph of a photograph”, or of a real three dimensional scene. The method includes using a digital camera to take a photograph, and within a predetermined time period either before or after taking the photograph, recording focal length information from a plurality of focus areas using the autofocus routine of the digital camera. The recorded focal length information forms the input to a machine learning classifier which has been trained to classify scenes as “flat” or “3D”.

Abstract: A system and method is disclosed for detecting whether a photograph is of a flat surface, e.g. a “photograph of a photograph”, or of a real three dimensional scene. The method includes using a digital camera to take a photograph, and within a predetermined time period either before or after taking the photograph, recording focal length information from a plurality of focus areas using the autofocus routine of the digital camera. The recorded focal length information forms the input to a machine learning classifier which has been trained to classify scenes as “flat” or “3D”.

Abstract: A system for cross verification of data captured by a consumer electronic device is disclosed. Primary data, for example, a photograph, is captured by a mobile capture device, and metadata including the time and location of the capture is associated with the primary data. Environmental data, for example, pressure, temperature, visible WiFi networks, visible cell towers, is also measure by the mobile capture device. Other capture devices are identified in the vicinity and those other devices also measure environmental data. The measurements of environmental data can then be compared in order to calculate a confidence level in the position metadata associated with the primary data.

Abstract: Photographs can sometimes be altered or changed in order to create photographs which appear to be of a scene which never took place, or did not take place at the place and time when the photograph is purported to have been taken. One way of circumventing known systems to detect this sort of falsified image is to take a photograph of a printed altered image. The present invention is a method of detecting such “photographs of photographs” by comparing two photographs of the same seen taken at the same time, with different exposures.

Abstract: A system for cross verification of data captured by a consumer electronic device is disclosed. Primary data, for example, a photograph, is captured by a mobile capture device, metadata including the time and location of the capture is associated with the primary data. Environmental data, for example, pressure, temperature, visible WiFi networks, visible cell towers, is also measure by the mobile capture device. Other capture devices are identified in the vicinity and those other devices also measure environmental data. The measurements of environmental data can then be compared in order to calculate a confidence level in the position metadata associated with the primary data.

Abstract: Photographs can sometimes be altered or changed in order to create photographs which appear to be of a scene which never took place, or did not take place at the place and time when the photograph is purported to have been taken. One way of circumventing known systems to detect this sort of falsified image is to take a photograph of a printed altered image. The present invention is a method of detecting such “photographs of photographs” by comparing two photographs of the same seen taken at the same time, with different exposures.

Abstract: A system is provided for storing verifiable data captured by a capture device. The primary data may be for example a photograph or video and the capture device may be for example a mobile telephone. Metadata may include for example the time and location when the photograph was captured. The capture device calculates a cryptographic transformation of the primary data, and transmits it to a server device for storage. At a later time a purported photograph for example can be verified as a true and unaltered copy of primary data created on the capture device, by calculating a cryptographic transformation of the purported photograph and comparing the calculated transformation with the transformation previously stored on the server device.

Abstract: A system for cross verification of data captured by a consumer electronic device is disclosed. Primary data, for example, a photograph, is captured by a mobile capture device, and metadata including the time and location of the capture is associated with the primary data. Environmental data, for example, pressure, temperature, visible WiFi networks, visible cell towers, is also measure by the mobile capture device. Other capture devices are identified in the vicinity and those other devices also measure environmental data. The measurements of environmental data can then be compared in order to calculate a confidence level in the position metadata associated with the primary data.