Manlio Allegra from 26721 Taaffe Rd, Los Altos, CA 94022, age 74, Phone: (650)9414427

Estimating The Location Of A Wireless Terminal Despite Apparently Reasonable But Misleading Or Erroneous Empirical Data
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US Patent:

8630665, Jan 14, 2014
Filed:

Jun 25, 2012
Appl. No.:

13/532140
Inventors:

Manlio Allegra - Los Altos Hills CA, US
David S. De Lorenzo - Palo Alto CA, US
Jasvinder Singh - Sunnyvale CA, US
Assignee:

Polaris Wireless, Inc. - Mountain View CA
International Classification:

H04W 24/00
US Classification:

4554565, 4554561, 4554562, 4554563, 4554564, 4554566
Abstract:

A location engine is disclosed that estimates the location of a wireless terminal using (i) cell ID, (ii) triangulation, (iii) GPS, (iv) RF pattern-matching, or (v) any combination of them. The location engine is adept at discounting the contribution of apparently reasonable but erroneous data. The location engine receives data that are evidence of the location of a wireless terminal at each of a plurality of different times. The location engine then generates an initial hypothesis for the location of the wireless terminal at each time assuming that all of the data is correct and equally probative. Next, the location engine generates one alternative hypothesis for each initial hypothesis and each datum assuming that the datum is erroneous. Finally, the location engine generates the estimate for the location of the wireless terminal at each time by determining which combination of initial hypotheses and alternative hypothesis is the most self-consistent.

Efficient Deployment Of Mobile Test Units To Gather Location-Dependent Radio-Frequency Data
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US Patent:

20080077516, Mar 27, 2008
Filed:

Apr 10, 2007
Appl. No.:

11/733603
Inventors:

Robert Morris Dressler - Los Altos Hills CA, US
James Vincent Steele - Santa Clara CA, US
Robert Lewis Martin - Antioch CA, US
Manlio Allegra - Los Altos Hills CA, US
Mark Douglas Reudink - Los Altos CA, US
Assignee:

POLARIS WIRELESS, INC. - Santa Clara CA
International Classification:

G06Q 40/00
US Classification:

705 35
Abstract:

A technique for designing and testing drive-test plan for gathering location-dependent RF data is disclosed. In accordance with some embodiments of the present invention, one candidate drive-test plan is chosen for implementation over a second based on an economic cost-benefit analysis of both plans. This is in marked contrast to, for example, a selection of drive-test plans, or the design of a drive-test plan, based on a calibration-cost analysis, in which the data estimated to be the most effective to calibrate a radio-frequency tool is sought for a given cost or the least cost. Although a data-estimated-to-be-most-effective-to-calibrate-a-radio-frequency-tool vs. cost analysis is a species of cost-benefit analyses in general, it is not an economic cost-benefit analysis because a data-estimated-to-be-most-effective-to-calibrate-a-radio-frequency-tool vs. cost analysis has deficiencies that an economic cost-benefit analysis does not.

Integrated Wireless Location And Surveillance System
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US Patent:

20110298930, Dec 8, 2011
Filed:

Jun 3, 2011
Appl. No.:

13/152910
Inventors:

Manlio Allegra - Los Altos Hills CA, US
Martin Feuerstein - Redmond WA, US
Kevin Alan Lindsey - Alexandria VA, US
Mahesh B. Patel - Saratoga CA, US
Assignee:

POLARIS WIRELESS, INC. - Mountain View CA
International Classification:

H04N 7/18
US Classification:

348159, 348E07085
Abstract:

An integrated wireless location and surveillance system that provides distinct advantages over video and audio surveillance systems of the prior art is disclosed. The integrated system comprises (i) a surveillance system comprising a plurality of cameras, each covering a respective zone, and (ii) a wireless location system that is capable of providing to the surveillance system, at various points in time, an estimate of the location of a wireless terminal that belongs to a person of interest. The surveillance system intelligently selects the video feed from the appropriate camera, based on the estimated location of the wireless terminal, and delivers the selected video feed to a display. As a person of interest moves from one zone to another, the surveillance system is capable of dynamically updating which video feed is delivered to the display.

Wireless Location And Facial/Speaker Recognition System
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US Patent:

20120014567, Jan 19, 2012
Filed:

Jul 13, 2011
Appl. No.:

13/182070
Inventors:

Manlio Allegra - Los Altos Hills CA, US
Martin Feuerstein - Redmond WA, US
Mahesh B. Patel - Saratoga CA, US
Assignee:

POLARIS WIRELESS, INC. - Mountain View CA
International Classification:

G06K 9/00
G10L 15/00
US Classification:

382118, 704231, 704E15001
Abstract:

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.

Surveillance System
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US Patent:

20120249787, Oct 4, 2012
Filed:

Apr 3, 2012
Appl. No.:

13/438188
Inventors:

Manlio Allegra - Los Altos Hills CA, US
Martin Feuerstein - Redmond WA, US
Mahesh B. Patel - Saratoga CA, US
Assignee:

POLARIS WIRELESS, INC. - Mountain View CA
International Classification:

H04N 7/18
US Classification:

348143, 348E07085
Abstract:

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.

Manlio Allegra