Polaris Wireless, Inc.

Mahesh B Patel

Martin J Feuerstein

Manlio Allegra

Scot Douglas Gordon

Tarun Kumar Bhattacharya

Kartick Sekar

Bhavin Pankaj Shah

David Stevenson Spain, Jr

Robert Lewis Martin

Aamir Abdul Sattar

A wireless telecommunication system is described that denies wireless telecommunication service to a wireless terminal in a proscribed area (e.g., prison, military installation, academic testing center, school, etc.). The system comprises an adjunct called a 'service sentry.' The service sentry uses measurements of the location-dependent traits of the radio signals transmitted to, and received from, each wireless terminal in its purview to generate an estimate of the location of the wireless terminal. When the service sentry estimates that the wireless terminal has entered the proscribed area, it requests that the wireless switching center that services the proscribed area deny service to the wireless terminal. When the service sentry estimates that the wireless terminal has exited the proscribed area, it requests that the wireless switching center that services the proscribed area restore service to the wireless terminal.

Preventing the use of a wireless terminal in a proscribed area

Data from a wireless network location system is used in conjunction with the known geographic location of a video surveillance area such that the system according to the present invention infers that a person who appears in an image in the video is the user of a mobile phone estimated to be at the person's location. When facial recognition is applied and the person's identity is thus recognized, an association is generated as between the identity according to the facial recognition and the identity of the co-located mobile phone. This association can be critical when there is no personal identification available for a mobile phone such as a pre-paid mobile.

Surveillance system

Systems and methods are disclosed that initiate mobile-terminated location requests in response to receiving an indication that an audio incident occurred at a given location. The mobile-terminated location requests are initiated for one or more mobile stations within a cell of a wireless network that is known to provide wireless service coverage to a geographic area that comprises the location of the audio incident. In response to the mobile-terminated location request, an estimate of the mobile station's current location is received. Based on the estimated current location of the mobile station relative to the location of the audio incident, the illustrative systems and methods may generate an association between the mobile station and the audio incident. When an association is generated, it is transmitted for possible further processing.

Associating a mobile station with an audio incident

An improved method of tracking an object of interest. The tracking that is enabled by the disclosed tracking engine is based on location estimation of a wireless terminal combined with aerial or satellite imagery of an object of interest, in which a relationship has been determined to exist between the wireless terminal and the object of interest. In some tracking scenarios, a wireless telecommunications network can be used to direct an image-based surveillance system where to start observing, as an object of interest heads away from a heavily populated area or other area with satisfactory wireless coverage. In some other tracking scenarios, the trajectory of the object as derived from the image data enables the tracking engine to target a specific portion of the wireless network to utilize in generating the location estimates, thereby reducing the resource utilization of the wireless network and tracking engine.

Tracking of an object of interest based on wireless location estimates combined with aerial or satellite imagery

A system and method are disclosed that provide for the control, by a third party, of call-related services that are provided to a wireless subscriber. For each mobile station whose calls and other communications are to be controlled, the server interposes itself between the serving Visitor Location Register (VLR) of the mobile station and the subscriber's Home Location Register (HLR). Through a sequence of standardized messages, the server represents itself to the unsuspecting HLR as the mobile station's new serving VLR. The server receives from the subscriber's HLR a first set of subscriber data that comprises data related to call-service permissions. The server then modifies a parameter from the first set, restricting an end-user service to the mobile station. The server then transmits the modified parameter to the serving VLR, which is used to block one or more types of calls that involve the mobile station.

Third-party control of call-related services for a mobile station and subscriber

A system and method are disclosed for triggering location estimation of mobile stations in a geographic region of interest. The disclosed system includes a list of International Mobile Subscriber Identities ('IMSI') used to track which mobile stations are to have location estimates generated, a database of Network Measurement Reports ('NMR') used for generating the location estimates, and a location engine. The system operates as a group of concurrently executing processes that i) process IMSIs and NMRs that are extracted by and received from probes that monitor communication links; ii) generate location estimates of mobile stations in the region of interest, based on a sequential indexing of the IMSI list; iii) maintain the freshness of the NMR database; and iv) maintain the freshness of the IMSI list. These processes operate such that the triggering of the location estimations occurs asynchronously with respect to the detection of information on the communication links.

Asynchronous triggering of mobile station location estimation

An integrated wireless location and facial/speaker-recognition system that provides distinct advantages over facial-recognition systems and speaker-recognition systems of the prior art is disclosed. The integrated system is capable of using information from a wireless location system to improve the performance of the facial recognition and speaker recognition. The system is capable of processing photographs and/or audio samples captured by a camera/microphone at a fixed location (e.g., a digital pan-zoom-tilt (PZT) surveillance camera, etc.) as well as those captured by a mobile camera/microphone (e.g., a digital camera and microphone in a smartphone, etc.). The system also features a feedback mechanism by which the location-informed results can be used to improve the system's recognition abilities.

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Saratoga, CA, United States of America

Mahesh B Patel