METHOD, SYSTEM AND DEVICE FOR DETERMINING CLOSE PROXIMITY OF TWO OR MORE PERSONS

Patent №

US 9,712,972

Granted

2017-07-18

Filed 2016

Owner

FAXI LIMITED

+1 more

Lab

AI components

2

kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15077950

Provided is a computer implemented method of determining that two or more members of a subscription group are in close proximity to each other. The method comprises the steps of enabling a mobile electronic device of at least one member of the subscription group to use a short range wireless communication module to detect other mobile electronic devices. In response to detecting, the detecting mobile electronic device receives and stores a unique identifier for each detected other mobile electronic device. A processor compares each stored unique identifier with known unique identifiers of mobile electronic devices of members of said subscription group. As a consequence of the comparing step, the processor determines that two or more members of the subscription group are in close proximity to each other if at least one of the stored unique identifiers matches one of the known unique identifiers of mobile electronic devices of members of the subscription group. This method can be used to infer that the two or more members of the group are sharing the same vehicle for a journey. When one of the mobile electronic devices is detected as having reached a location on or within a boundary of a geo-fence associated with a carpark, data is communicated to a system or device of a third party associated with the carpark to alert the third party and/or provide the third party with data indicative of an identity of the vehicle and/or its driver to enable the driver to access car-parking spaces allocated to car share vehicles.

Knowledge representationPlanningH04W 4/023H04L 67/53H04W 4/021H04W 4/029H04W 4/08H04W 4/40H04W 4/80H04W 8/005

AI classification

Planning0.97
Knowledge representation0.92
Vision0.03
AI hardware0.01
Evolutionary computation0.00
Speech0.00
Machine learning0.00
Natural language0.00

Ownership

FAXI LIMITED

assignment · 383240370

KINTO JOIN LTD

namechg · 541420630

Assignors

LYNCH, TONY, PLANKE, FRANCOIS, KITE, LEWIS, YUAN, DONG

On an employer assignment, the assignors are typically the inventors.

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