IP Library Granted Patent US 12,244,969
Granted Patent B2
US 12,244,969 · App. 18/242,375 · Granted Mar 4, 2025

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 12,244,969
App. No.
18/242,375
Granted
Mar 4, 2025
Kind
B2
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 scale of the event and occurrence location of the event from at least one of the plurality of sensors;

selecting, when it is determined that the at least one of the scale of the event and the occurrence location of the event exceeds 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 scale of the event and occurrence location of the event from at least one of the plurality of sensors;

selecting, when it is determined that the at least one of the scale of the event and the occurrence location of the event exceeds 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 scale of the event and occurrence location of the event from at least one of the plurality of sensors;

selecting, when it is determined that the at least one of the scale of the event and the occurrence location of the event exceeds 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.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 27, 2024
From: IP WAVE PTE LTD.
To: CLOUD BYTE LLC.
Reel/Frame 067944/0332 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 27, 2024
From: NEC ASIA PACIFIC PTE LTD.
To: IP WAVE PTE LTD.
Reel/Frame 066376/0276 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 22, 2023
From: NEC CORPORATION
To: NEC ASIA PACIFIC PTE LTD.
Reel/Frame 066124/0752 →
Priority Claims (1)
SG 201407100-0 · Oct 30, 2014 · national
Continuity (6)
Continuation 18140306 · Apr 27, 2023
Continuation 17123737 · Dec 16, 2020
Continuation 16295150 · Mar 7, 2019
Continuation 15519271 · Apr 14, 2017
Continuation PCTJP2015005419 · Oct 28, 2015
Related Publication 20230412771A1 · Dec 21, 2023
References Cited (87)
US 5671009A · Chun · 1997 [cited by applicant]
US 7522186B2 · Arpa et al. · 2009 [cited by applicant]
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 Rosenthal · 2007 [cited by applicant]
US 20080010262A1 · Frank · 2008 [cited by applicant]
US 20080098068A1 · Ebata et al. · 2008 [cited by applicant]
US 20080143820A1 · Peterson · 2008 [cited by examiner]
US 20080198231A1 · Ozdemir · 2008 [cited by applicant]
US 20080274798A1 · Walker · 2008 [cited by examiner]
US 20090122143A1 · Latham et al. · 2009 [cited by applicant]
US 20090122144A1 · Latham et al. · 2009 [cited by applicant]
US 20090125981A1 · Krischer · 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 · 2011 [cited by examiner]
US 20110261203A1 · Mupkala et al. · 2011 [cited by applicant]
US 20120206606A1 · Marchese · 2012 [cited by applicant]
US 20120249957A1 · Shibata · 2012 [cited by examiner]
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 examiner]
US 20130255405A1 · Brumley et al. · 2013 [cited by applicant]
US 20140092120A1 · Demos · 2014 [cited by applicant]
US 20140176663A1 · Cutler · 2014 [cited by examiner]
US 20140240512A1 · Högasten et al. · 2014 [cited by applicant]
US 20140333776A1 · Dedeoglu et al. · 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 examiner]
US 20150347859A1 · Dixon · 2015 [cited by examiner]
US 20160127643A1 · Huerta · 2016 [cited by applicant]
US 20160165136A1 · Mitsui · 2016 [cited by examiner]
US 20160350826A1 · Glasgow · 2016 [cited by examiner]
US 20170186230A1 · Ivers · 2017 [cited by applicant]
US 20170223320A1 · Hiranuma · 2017 [cited by applicant]
US 20170225336A1 · Deyle · 2017 [cited by examiner]
US 20170289504A1 · Fridental · 2017 [cited by examiner]
US 20180061010A1 · Akselrod · 2018 [cited by examiner]
US 20180068540A1 · Romanenko · 2018 [cited by examiner]
US 20180158220A1 · Van Eeuwijk · 2018 [cited by examiner]
US 20180234847A1 · Rodriguez · 2018 [cited by examiner]
US 20180268240A1 · Loce · 2018 [cited by examiner]
US 20190050592A1 · Grau · 2019 [cited by examiner]
US 20190068895A1 · Hutz · 2019 [cited by examiner]
US 20210099433A1 · Soryal · 2021 [cited by examiner]
EP 2725552A1 · 2014 [cited by applicant]
JP 2002092751A · 2002 [cited by applicant]
JP 2002248463A · 2002 [cited by applicant]
JP 2005012415A · 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]
International Search Report for PCT Application No. PCT/JP2015/005419, mailed on Jan. 19, 2016. [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]
Singapore Office Action for SG Application No. 11201703151Q dated on Nov. 2, 2017. [cited by applicant]
Hsueh et al., Abnormal event detection using bayesian networks at a smart home (Year: 2015). [cited by applicant]
US NOA and PTO-892 for U.S. Appl. No. 15/519,271 dated on Mar. 13, 2019. [cited by applicant]
Japanese Office Action for JP Application No. 2017-520996 mailed on Nov. 12, 2019 with English Translation. [cited by applicant]
US Office Action for U.S. Appl. No. 16/438,628 mailed on Jan. 29, 2020. [cited by applicant]
Yuan et al. “Unmanned aerial vehicle based forest fire monitoring and detection using image processing technique (Year: 2016)”, China. [cited by applicant]
Kandil et al. “Fire detection using a dynamically developed neural network (Year: 2010)”, Croatia. [cited by applicant]
US NOA for U.S. Appl. No. 16/438,628 mailed on Mar. 30, 2020. [cited by applicant]
Japanese Office Action for JP Application No. 2020-072096 mailed on Mar. 2, 2021 with English Translation. [cited by applicant]
JP Office Action for JP Application No. 2021-206613, mailed on Nov. 29, 2022 with English Translation. [cited by applicant]
Office Action issued Jun. 11, 2024 in Japanese Application No. 2023-138974. [cited by applicant]
Communication dated Oct. 8, 2024, issued in Japanese Application No. 2023-138974. [cited by applicant]