IP Library › Granted Patent US 12,712,987
Granted Patent B2
US 12,712,987 · App. 19/000,049 · Granted Aug 18, 2026

Camera listing based on comparison of imaging range coverage information to event-related data generated based on captured image

Inventors: Takeshi Arikuma (Tokyo, JP); Masahiro Tani (Singapore, SG)
Assignee: CLOUD BYTE LLC.
H04N7/181G08B13/1672G08B13/19602G08B25/08H04N7/18G06V20/52
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,712,987
App. No.
19/000,049
Filed
Dec 23, 2024
Granted
Aug 18, 2026
Kind
B2
Art Unit
2485
USPC
348/159
Abstract

Event-related data based on an image that has been captured is generated. Coverage information relating to imaging range is compared to the event-related data. The cameras that can capture an image of the event, based on a comparing result, are listed so that an operator can select one of the listed cameras.

Claims (43)

1 . A surveillance control system controlling a plurality of sensors comprising:

at least one memory storing instructions; and

at least one processor connected to the memory that, based on the instructions, performs operations comprising:

receiving sensor data including event related data relating to at least one of a scale of the event and an occurrence location of the event from at least one of the plurality of sensors;

selecting, based on the at least one of the scale of the event, the occurrence location of the event, and a sensing range of the at least one of the plurality of sensors, at least a second one of the plurality of sensors based on a type of the event, the sensor data and coverage information relating to imaging range which each of the plurality of sensors is able to image; and

actuating the selected at least the second one of the plurality of sensors.

2 . The surveillance control system according to claim 1 , the operations further comprising:

comparing the coverage information with the sensor data; and

selecting the at least second one of the plurality of sensors based on a comparing result of comparing the coverage information with the sensor data.

3 . The surveillance control system according to claim 1 , the operations further comprising:

in the selecting, identifying the at least second one of the plurality of sensors based on map information including wall or other space defining structures.

4 . The surveillance control system according to claim 1 , the operations further comprising:

actuating the at least second one of the plurality of sensors by changing at least one of direction, resolution or pan-tilt-zoom (PTZ) settings of at least one of the plurality of sensors.

5 . The surveillance control system according to claim 1 , wherein the coverage information includes information concerning Field of View (FOV) of the plurality of sensors.

6 . The surveillance control system according to claim 1 , wherein the coverage information includes information concerning Field of Regard (FOR) for non-directional or movable sensors included in the plurality of sensors.

7 . The surveillance control system according to claim 1 , wherein the selecting includes selecting the at least second one of the plurality of sensors further based on map information concerning wall or other space defining structures.

8 . The surveillance control system according to claim 1 , wherein the selecting includes selecting the at least second one of the plurality of sensors further based on capabilities of sensor actuators of the plurality of sensors.

9 . A surveillance control method controlling a plurality of sensors comprising:

receiving sensor data including event related data relating to at least one of a scale of the event and an occurrence location of the event from at least one of the plurality of sensors;

selecting, based on the at least one of the scale of the event, the occurrence location of the event, and a sensing range of the at least one of the plurality of sensors, at least a second one of the plurality of sensors based a type of the event, the sensor data and coverage information relating to imaging range which each of the plurality of sensors is able to image; and

actuating the selected at least second one of the plurality of sensors.

10 . The surveillance control method according to claim 9 , further comprising:

comparing the coverage information with the sensor data; and

selecting the at least second one of the plurality of sensors based on a comparing result of comparing the coverage information with the sensor data.

11 . The surveillance control method according to claim 9 , further comprising:

in the selecting, identifying the at least second one of the plurality of sensors based on map information including wall or other space defining structures.

12 . The surveillance control method according to claim 9 , further comprising:

actuating the at least second one of the plurality of sensors by changing at least one of direction, resolution or pan-tilt-zoom (PTZ) settings of at least one of the plurality of sensors.

13 . The surveillance control method according to claim 9 , wherein the coverage information includes information concerning Field of View (FOV) of the plurality of sensors.

14 . The surveillance control method according to claim 9 , wherein the coverage information includes information concerning Field of Regard (FOR) for non-directional or movable sensors included in the plurality of sensors.

15 . The surveillance control method according to claim 9 , wherein the selecting includes selecting the at least second one of the plurality of sensors further based on map information concerning wall or other space defining structures.

16 . The surveillance control system according to claim 9 , wherein the selecting includes selecting the at least second one of the plurality of sensors further based on capabilities of sensor actuators of the plurality of sensors.

17 . A non-transitory computer readable storage medium causing a computer controlling a plurality of sensors to execute operations comprising:

receiving sensor data including event related data relating to at least one of a scale of the event and an occurrence location of the event from at least one of the plurality of sensors;

selecting, based on the at least one of the scale of the event, the occurrence location of the event, and a sensing range of the at least one of the plurality of sensors, at least one of the plurality of sensors based a type of the event, the sensor data and coverage information relating to imaging range which each of the plurality of sensors is able to image; and

actuating the selected at least second one of the plurality of sensors.

18 . The non-transitory computer readable storage medium according to claim 17 , the operations further comprising:

comparing the coverage information with the sensor data; and

selecting the at least second one of the plurality of sensors based on a comparing result of comparing the coverage information with the sensor data.

19 . The non-transitory computer readable storage medium according to claim 17 , the operations further comprising:

in the selecting, identifying the at least second one of the plurality of sensors based on map information including wall or other space defining structures.

20 . The non-transitory computer readable storage medium according to claim 17 , the operations further comprising:

actuating the at least second one of the plurality of sensors by changing at least one of direction, resolution or pan-tilt-zoom (PTZ) settings of at least one of the plurality of sensors.

Priority Claims (1)
SG 201407100-0 · Oct 30, 2014 · national
Continuity (6)
Continuation 18242375 · Sep 5, 2023
Continuation 18140306 · Apr 27, 2023
Continuation 17123737 · Dec 16, 2020
Continuation 16295150 · Mar 7, 2019
Continuation 15519271 · Oct 28, 2015
Related Publication 20250126231A1 · Apr 17, 2025
References Cited (106)
US 5671009A · Chun · 1997 [cited by applicant]
US 7522186B2 · Arpa et al. · 2009 [cited by applicant]
US 11566979B2 · Nikolajsen · 2023 [cited by examiner]
US 11601583B2 · Burke · 2023 [cited by examiner]
US 11605225B2 · Floor · 2023 [cited by examiner]
US 11657515B2 · Kojima · 2023 [cited by examiner]
US 11665332B2 · Furukawa · 2023 [cited by examiner]
US 11683549B2 · Matsumoto · 2023 [cited by examiner]
US 11710316B2 · Spiteri · 2023 [cited by examiner]
US 11710397B2 · Carey · 2023 [cited by examiner]
US 11741427B2 · Phillips · 2023 [cited by examiner]
US 11800063B2 · Arikuma · 2023 [cited by examiner]
US 11805327B2 · Glaser · 2023 [cited by examiner]
US 11875657B2 · Hallett · 2024 [cited by examiner]
US 11972579B1 · Spiteri · 2024 [cited by examiner]
US 20020194414A1 · Bateman · 2002 [cited by applicant]
US 20040100376A1 · Lye et al. · 2004 [cited by applicant]
US 20050134695A1 · Deshpande · 2005 [cited by applicant]
US 20070242066A1 · Levy · 2007 [cited by applicant]
US 20080010262A1 · Frank · 2008 [cited by applicant]
US 20080098068A1 · Ebata et al. · 2008 [cited by applicant]
US 20080129825A1 · DeAngelis et al. · 2008 [cited by applicant]
US 20080143820A1 · Peterson · 2008 [cited by applicant]
US 20080198231A1 · Ozdemir et al. · 2008 [cited by applicant]
US 20080274798A1 · Walker et al. · 2008 [cited by applicant]
US 20090122143A1 · Latham et al. · 2009 [cited by applicant]
US 20090122144A1 · Latham et al. · 2009 [cited by applicant]
US 20090125981A1 · Krischer et al. · 2009 [cited by applicant]
US 20090167857A1 · Matsuda et al. · 2009 [cited by applicant]
US 20090306484A1 · Kurtz et al. · 2009 [cited by applicant]
US 20100002071A1 · Ahiska · 2010 [cited by applicant]
US 20100002074A1 · Niem et al. · 2010 [cited by applicant]
US 20100214408A1 · Mcclure et al. · 2010 [cited by applicant]
US 20100214417A1 · Gennari et al. · 2010 [cited by applicant]
US 20110234750A1 · Lai et al. · 2011 [cited by applicant]
US 20110261203A1 · Mupkala et al. · 2011 [cited by applicant]
US 20120206606A1 · Marchese · 2012 [cited by applicant]
US 20120249957A1 · Shibata et al. · 2012 [cited by applicant]
US 20120274776A1 · Gupta et al. · 2012 [cited by applicant]
US 20120303312A1 · Yun · 2012 [cited by applicant]
US 20120327246A1 · Senior et al. · 2012 [cited by applicant]
US 20130022948A1 · Angell et al. · 2013 [cited by applicant]
US 20130176432A1 · Gupta et al. · 2013 [cited by applicant]
US 20130182066A1 · Ishimoto · 2013 [cited by applicant]
US 20130255405A1 · Brumley et al. · 2013 [cited by applicant]
US 20140092120A1 · Demos · 2014 [cited by applicant]
US 20140176663A1 · Cutler et al. · 2014 [cited by applicant]
US 20140240512A1 · Hogasten et al. · 2014 [cited by applicant]
US 20140333776A1 · Dedeoglu · 2014 [cited by applicant]
US 20140349269A1 · Canoy et al. · 2014 [cited by applicant]
US 20150055886A1 · Oh et al. · 2015 [cited by applicant]
US 20150116501A1 · McCoy · 2015 [cited by examiner]
US 20150213697A1 · Knox et al. · 2015 [cited by applicant]
US 20150244992A1 · Buehler · 2015 [cited by applicant]
US 20150347859A1 · Dixon et al. · 2015 [cited by applicant]
US 20160127643A1 · Huerta · 2016 [cited by applicant]
US 20160165136A1 · Mitsui et al. · 2016 [cited by applicant]
US 20160350826A1 · Glasgow et al. · 2016 [cited by applicant]
US 20170186230A1 · Ivers · 2017 [cited by applicant]
US 20170223320A1 · Hiranuma · 2017 [cited by applicant]
US 20170225336A1 · Deyle et al. · 2017 [cited by applicant]
US 20170237942A1 · Arikuma · 2017 [cited by examiner]
US 20170289504A1 · Fridental et al. · 2017 [cited by applicant]
US 20180061010A1 · Akselrod · 2018 [cited by applicant]
US 20180068540A1 · Romanenko et al. · 2018 [cited by applicant]
US 20180158220A1 · Van Eeuwijk et al. · 2018 [cited by applicant]
US 20180234847A1 · Rodriguez · 2018 [cited by applicant]
US 20180268240A1 · Loce et al. · 2018 [cited by applicant]
US 20190050592A1 · Grau · 2019 [cited by applicant]
US 20190068895A1 · Hutz et al. · 2019 [cited by applicant]
US 20210099433A1 · Soryal et al. · 2021 [cited by applicant]
EP 2725552A · 2014 [cited by applicant]
JP 2002092751A · 2002 [cited by applicant]
JP 2002248463A · 2002 [cited by applicant]
JP 2005012415A · 2005 [cited by applicant]
JP 2005284997A · 2005 [cited by applicant]
JP 2006332754A · 2006 [cited by applicant]
JP 2007074217A · 2007 [cited by applicant]
JP 2007235969A · 2007 [cited by applicant]
JP 2008099248A · 2008 [cited by applicant]
JP 2009290501A · 2009 [cited by applicant]
JP 2010136295A · 2010 [cited by applicant]
JP 2010183417A · 2010 [cited by applicant]
JP 2011107839A · 2011 [cited by applicant]
JP 2013201756A · 2013 [cited by applicant]
JP 2014146979A · 2014 [cited by applicant]
WO 2006011593A1 · 2006 [cited by applicant]
WO 2012086052A1 · 2012 [cited by applicant]
WO 2014001009A1 · 2014 [cited by applicant]
Communication dated Oct. 8, 2024, issued in Japanese Application No. 2023-138974. [cited by applicant]
Hsueh et al. Abnormal event detection using bayesian networks at a smart home (Year: 2015). [cited by applicant]
International Search Report for PCT Application No. PCT/JP2015/005419, mailed on Jan. 19, 2016. [cited by applicant]
Japanese Office Action dated Jun. 11, 2024 in Application No. 2023-138974. [cited by applicant]
Japanese Office Action for JP Application No., 2020-072096 mailed on March 2. 2021 with English Translation. [cited by applicant]
Japanese Office Action for JP Application No. 2017-520996 mailed on Nov. 12, 2019 with English Translation. [cited by applicant]
JP Office Action for JP Application No. 2021-206613. mailed on Nov. 25, 2022 with English Translation. [cited by applicant]
Kandil et al. “Fire detection using a dynamically developed neural network (Year: 2010)”, Croatia. [cited by applicant]
Office Action issued Jun. 11, 2024 in Japanese Application No. 2023-138974. [cited by applicant]
Singapore Office Action for SG Application No. 11201703151Q dated on Nov. 2, 2017. [cited by applicant]
US Notice of Allowance and PTO-892 for U.S. Appl. No. 15/519,271 dated on Mar. 13, 2019. [cited by applicant]
US Notice of Allowance for U.S. Appl. No. 16/438,628 mailed on Mar. 30, 2020. [cited by applicant]
US Office Action for U.S. Appl. No. 16/438,628 mailed on Jan. 29, 2020. [cited by applicant]
Written Opinion of the International Search Authority for PCT Application No. PCT/JP2015/005419, mailed on Jan. 19, 2016. [cited by applicant]
Yuan et al “Unmanned aerial vehicle based forest tire monitoring and detection using image processing technique (Year 2016)”, China. [cited by applicant]
Japanese Office Action dated Feb. 3, 2026, issued in Japanese application No. 2023-138974. [cited by applicant]
Japanese Office Action dated Mar. 31, 2026, issued in Japanese application No. 2025-084402. [cited by applicant]