WO2017165441A1 - System and method for configuring surveillance cameras using mobile computing devices - Google Patents

System and method for configuring surveillance cameras using mobile computing devices Download PDF

Info

Publication number
WO2017165441A1
WO2017165441A1 PCT/US2017/023444 US2017023444W WO2017165441A1 WO 2017165441 A1 WO2017165441 A1 WO 2017165441A1 US 2017023444 W US2017023444 W US 2017023444W WO 2017165441 A1 WO2017165441 A1 WO 2017165441A1
Authority
WO
WIPO (PCT)
Prior art keywords
surveillance cameras
image data
configuration
surveillance
images
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/US2017/023444
Other languages
French (fr)
Inventor
Piero Madar
Anthony Burke
Scott Humphreys
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sensormatic Electronics LLC
Original Assignee
Sensormatic Electronics LLC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sensormatic Electronics LLC filed Critical Sensormatic Electronics LLC
Publication of WO2017165441A1 publication Critical patent/WO2017165441A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19678—User interface
    • G08B13/1968—Interfaces for setting up or customising the system
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/10544—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum
    • G06K7/10821—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices
    • G06K7/1092—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices sensing by means of TV-scanning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
    • G06K7/1404—Methods for optical code recognition
    • G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
    • G06K7/1417—2D bar codes
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19678—User interface
    • G08B13/19684—Portable terminal, e.g. mobile phone, used for viewing video remotely
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources

Definitions

  • Video surveillance systems are often deployed in schools, government buildings, small businesses, retail stores and corporate offices, and even many residences. These surveillance systems are typically comprised of surveillance cameras that capture image data, image data storage systems that store the image data along with possibly metadata, and increasingly analytics systems that analyze the image data and possibly generate the metadata.
  • the installer After the physical installation, the installer must then configure the systems. Generally, configuration of the surveillance camera systems is tedious, requiring the installer to repeatedly enter configuration information such as device names, Internet Protocol (IP) addresses, media access control (MAC) addresses, device locations, and/or port settings for devices. In many cases, the installer has to travel between different locations throughout the building to configure the various components, the network, and any monitoring station. [ 0018 ] Recently, the surveillance camera systems have begun using open standards. Among other advantages, this enables users to more easily access the image data from the surveillance cameras. On user devices such as computer workstations and mobile computing devices such as tablets, smart phones and laptop computers, users can access and select image data from specific surveillance cameras for real-time viewing upon and downloading to the user devices. In addition, the users on the user devices can also access previously recorded image data stored on the image data storage systems.
  • IP Internet Protocol
  • MAC media access control
  • Surveillance cameras are being offered that include image data storage on the camera itself. Such surveillance cameras are especially attractive to smaller organizations such as stores, small companies, and local offices that want to reduce installation and maintenance expenses. Each camera can function as a stand-alone unit, and as a result there is no need to have a specialized image data storage system. With the advent of improved image compression on one hand, and the decreasing costs of data storage on the other hand, each surveillance camera is often able to store substantially larger amounts of image data than it generates,
  • remote cloud image data storage systems are also available. These systems can offer a number of advantages over local image data storage systems.
  • the organizations have fewer components to buy and install, which lowers both purchase and depreciation cost. Organizations can also pay on a per usage basis for infrequently used value-added services.
  • the semce providers of the cloud storage systems bear the responsibility of maintaining and upgrading the storage systems and their capabilities, the cost of which the service providers can share across their managed clients.
  • the present invention concerns a method and system for configuring
  • the invention features a method for configuring surveillance cameras.
  • the method comprises displaying configuration images on user devices, deriving the configuration images from image data from the surveillance cameras, and pairing configuration information from the user devices with corresponding surveillance cameras by reference to the configuration images.
  • the step of displaying the configuration images could comprise displaying QR codes, for example,
  • image data from the surveillance cameras is sent to a registration server that derives the configuration images from the image data and pairs the
  • the user device configuration information includes location information for the surveillance cameras or user account information for owners of the surveillance cameras.
  • the configuration images are derived from image data from the surveillance cameras using a remote analytics system or an analytics system integrated within the surveillance cameras.
  • the camera configuration information includes camera type information .
  • unregistered surveil lance cameras can periodical ly sending image data to a registration server, which is used to pair the configuration information from the user device with the corresponding survei llance cameras.
  • the method can also additionally store image data from the surveillance cameras to a cloud storage system after registration of the surveillance cameras.
  • the invention features a surveillance camera system.
  • the surveillance camera system includes user devices on which
  • configuration images are displayed, surveillance cameras, and a registration server.
  • the surveillance cameras generate image data of the user devices on which the configuration images are displayed, and the registration server pairs configuration information from the user devices with corresponding surveillance cameras by reference to the configuration images.
  • the configuration images are test patterns.
  • FIG. 1 is a schematic diagram showing surveillance cameras along with a technician with a mobile computing device in a registration process in which a registration server supplies configuration images to the mobile computing device and analyzes the image data from the surveillance cameras;
  • FIG. 2 is a sequence diagram showing a process for registering a surveillance camera by deriving the configuration images from the image data to pair the surveillance camera with configuration information entered via mobile computing devices;
  • Fig, 3 is a schematic diagram illustrating the organization of information in the registration database.
  • the term “and/or” includes any and all combinations of one or more of the associated listed items. Further, the singular forms including the articles “a”, “an” and “the” are intended to include the plural forms as well, unless expressly stated otherwise. It will be further understood that the terms; includes, comprises, including and/or comprising, when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Further, it will be understood that when an element, including component or subsystem, is referred to and/or shown as being connected or coupled to another element, it can be directly connected or coupled to the other element or intervening elements may be present.
  • FIG. 1 shows an exemplary surveillance camera and image data storage system 10 to which the present invention is applicable
  • the system 10 includes surveillance cameras 103 along with possibly other security devices installed at a premises 52 of an organization.
  • the surveillance cameras 103 generate image data 250 and communicate with each other and with other security devices over a local (enterprise) network 210 which may be wired, wireless, or a hybrid of wired and wireless links,
  • a number of approaches may be employed in the alternative or in a hybrid fashion to store the image data 250 generated by the surveillance cameras 103-1, 103-2, 103-3.
  • a local image data storage system 212 is shown, deployed on the local network 210.
  • each or some of the cameras 103 includes a camera image data storage sy stem 174.
  • streams of image data 250 can be transferred over a network cloud 50 to a cloud or remote image data storage system 310.
  • the image data 250 can then be accessed over the network cloud 50 by user mobile computing devices 400 such as smartphones, tablet computing devices, laptop computer running operating systems such as Windows, Android, Linux, or IOS, in examples.
  • user mobile computing devices 400 are also referred to as user devices.
  • Each user device 400 includes a display screen or touch screen 402 and one or more applications 412, or "apps.”
  • the apps 412 execute upon the operating systems of the user devices 400.
  • camera 1 103-1 focuses upon person 60 located within an aisle.
  • Camera2 103-2 detects motion of individuals 60 near a door 62 providing entry to or exit from the premises 52.
  • camera3 103-3 detects motion near a safe 64.
  • a cloud video analytics system is shown 312 that receives the image data from the surveillance cameras 103 via the network cloud 50.
  • the cloud video analytics system 312 might be managed by a third party hosting company and is presented to the enterprise local network 210 as a single virtual entity, in one example.
  • the analytics system is installed on the local network 210 and may be owned by the same business entity as the surveillance camera system 10.
  • an optional camera analytics system 176 integrated within one or more of the surveillance cameras 103 is another option.
  • a registration server 314 and a registration database 3 6 on the network 318 of the cloud system are shown.
  • the registration server 314 is used to maintain user accounts for organizations that own surveillance camera systems 10.
  • this registration server 314 is used, in one example, as part of a service that enables access to dedicated storage in the cloud image data storage system 310 for various organizations that subscribe to the service.
  • the registration server 314 includes a web server.
  • the registration server 314 could further be used to provide access to other services. It could provide subscribing organizations with remote analytics of the image data generated by the surveillance cameras 103 in the cloud video analytics system 312, In still other examples, the registration server 314 would use the cloud system to distribute image data 250 from the surveillance cameras 103 such as to user devices 400.
  • the surveillance cameras 103 are installed by an installer 60, for example, it is necessary to associate those surveillance cameras 103 with configuration information such as the account for the organization owning the premises 52 and/or subscribing to services available on the cloud network 318. Further, configuration information such as where are the surveillance cameras are installed, names for each of the surveillance cameras, the type and model of surveillance cameras 103 should al so be stored to the registration database 316 in various examples. Still further, device data such as Intern et Protocol (IP) addresses, media access control (MAC) addresses is also typically stored in connection with each of the surveillance cameras 103 and in connection with the account of the organization that owns or manages the surveillance cameras 103.
  • IP Intern et Protocol
  • MAC media access control
  • the pairing between the surveillance cameras 103 and the configuration information is achieved by using a user device 400 typically operated by the installer 60.
  • the installer 60 places the user device 400 such that the surveillance camera is able to capture an image of the display 402 of the user device. That is, the display 402 of the user device 400 is placed within the field of view 105 of the surveillance camera 103-1 by the installer 60,
  • a configuration image 410 Displayed on display 402 is a configuration image 410.
  • this configuration image is a Quick Response (QR) code.
  • this configuration image 410 is preferably supplied by the registration server 314.
  • the registration server 314 downloads the image when the installer 60 invokes a camera registration web page supplied by the registration server 314.
  • the configuration image 410 is included in or accessed by or generated by an app 412 that is installed on the user device 400.
  • the image data 250 collected by the surveillance camera 103-1 is then processed on an analytics system.
  • the configuration image 410 is extracted and passed to the registration server 314 or otherwise compared to the configuration image 410 provided to the user device. This allows the registration server 314 to pair
  • Fig. 2 shows the process for pairing a surveillance camera with configuration information entered at a user device 400, for example.
  • the surveillance camera 103-1 sends a request to the registration server 314 for an IP address in step 608.
  • the request references a preconfigured Universal Resource Locator (URL) of the registration server 314 for this purpose.
  • IP address 264 in the example, " 10.10.10.1 ”
  • the process transitions to step 610.
  • the surveillance camera 103-1 stores image data to image data storage in step 610.
  • image data storage in one example, a discrete local image data storage system 212 is used.
  • integrated image data storage 174 located on the surveillance camera receives the image data 250.
  • the image data could be stored in the cloud image data storage system 310.
  • the surveillance camera 103-1 begins sending image data 250 to the registration server 314 in step 612.
  • the surveillance camera 103-1 sends the image data periodically, such as once a minute or when the surveillance camera is triggered to enter into a configuration mode.
  • the surveillance camera can be triggered to enter the configuration mode in response to an installer pressing an associated button on the surveillance camera, in response to the installer selecting a configuration mode setting within the app 412 executing on the user device 400, or when the surveillance camera 103- 1 is first powered-on and has never been configured before, in examples.
  • r 0054 j At the same time or in a generally contemporaneous fashion, the app 412 installed on the user device 400 is controlled by the installer 60 to send a "request to register" message to the registration server 314 in step 614,
  • a configuration image 410 is then sent by the registration server 314 to the app 412 executing on the user device 400 in step 616.
  • the app could also generate this image and send it to the server 314.
  • the configuration image 410 is a QR code.
  • the image type is not critical.
  • the configuration image might be any random or predefined image or pattern, such as a test pattern,
  • the app 412 displays the configuration image 410 on the display 402 of the user device 400.
  • the configuration image is presented to the surveillance camera 103-1 so that the surveillance camera 103-1 can include the configuration image 410 within image data 250-1 of the scene that the surveillance camera 103-1 captures.
  • the user device 400 and specifically the app 412 executing on the user device sends configuration information to the registration server 314 in step 620,
  • this configuration information includes possibly a user account for the owner of the surveillance camera 103 . Additional information, such as where the surveillance camera 103- 1 is installed is also sometimes entered at the user device 400 and sent to the registration server 314, Other information such as a name for the surveillance camera, the type and model of surveillance camera 103 should also be passed to the registration server 314 and stored to the registration database 316, in various examples.
  • the configuration image is sent to the registration server 314 by the surveillance camera 103- 1 in conjunction with surveillance camera information obtained from the surveillance camera 103-1.
  • the configuration image 410 is included in image data 250-1 captured by the surveillance camera 103-1 ,
  • Configuration information can include information such as the assigned Internet Protocol (IP) address 264, media access control (MAC) address, camera type and serial number, in examples.
  • IP Internet Protocol
  • MAC media access control
  • the configuration information can then be sent to the registration server 314 and stored in connection with the surveillance camera 103-1. and in connection with the account of the organization that owns or manages the surveillance cameras 103 in the registration database 3 16.
  • the registration server 314 extracts the configuration image 410 (e.g. QR code) sent by the surveillance camera 103 in step 622.
  • the registration server 314 derives the configuration image 410 from the image data 250-1 sent by the surveillance camera 103- 1.
  • the registration server 3 14 sends the image data 250-1 to the cloud video analytics system 3 12, which then extracts the configuration image from the image data 250-1.
  • the configuration image 4 10 is extracted from the image data 250- 1 using the local analytics system or an integrated analytic system 176 of the surveillance camera.
  • the registration server 314 extracts and matches the configuration image 410 (e.g. QR code) with the user device 400 and probably with configuration information such as the user account that was typically entered at the user device 400.
  • the registration server 314 associates the surveillance camera 103-1 with the user account and any other configuration information added at the user device 400 by the installer 60, for example, and/or provided by the surveillance camera 103-1 , This information is stored in the registration database 316, in one example.
  • the registration database 316 or the registration server 314 allocates cloud storage in step 628 for the surveillance camera 103-1. Then, the registration server 314 sends path information for the cloud image data storage system to the local image data storage 212 in step 630. As a result, in step 632, image data 250-2 can now be stored to the cloud image data storage system 310 either directly by the
  • surveillance camera 103-1 or by the local image data storage 212.
  • other services could be made available to the surveillance camera 103-1 such as image analytics provided by the cloud video analytics system 312.
  • FIG. 3 schematically illustrates exemplary content of the registration database 316.
  • the registration database holds many user accounts 330, account #1 330- 1... account #n, account #(n+l).
  • configuration information 332-1 , 332-2 is stored for each of the surveillance cameras 103 that have been associated with that account 330-1.
  • This configuration information might include the location where each surveillance camera 103 is installed, the type of surveillance camera, and any image data storage profile information, such as the location within the cloud image data storage system 310 where the image data 250 from each surveillance camera is stored.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Multimedia (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Toxicology (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Signal Processing (AREA)
  • Alarm Systems (AREA)
  • Closed-Circuit Television Systems (AREA)

Abstract

A method and system for configuring surveillance cameras can be used to leverage emerging trends in surveillance camera systems, while also enabling the configuration of cameras to operate in such systems. The method comprises displaying configuration images on mobile computing devices and enabling the cameras to view and capture those images within image data. The configuration images are then derived from image data from the surveillance cameras using integrated or separate analytics systems. Then, configuration information from the mobile device can be paired with corresponding surveillance cameras by reference to the configuration images. In one example, cloud image data storage is allocated as part of this setup and configuration process.

Description

SYSTEM AND METHOD FOR CONFIGURING SURVEILLANCE CAMERAS USING MOBILE COMPUTING DEVICES
RELATED APPLICATIONS
[ 0001 ] This application claims priority to U.S. Patent Application No. 15/076,713 filed on March 22, 2016, which is incorporated herein by reference in its entirety.
[ o o o 2 ] Thi s app 1 i cati on i s rel ated to :
[ 0003 ] U.S. Application number 15/076,701, filed on March 22, 2016, entitled
"Method and system for surveillance camera arbitration of uplink consumption," attorney docket number 0340.0001 US 1 ;
[ 0004 ] U.S. Application number 15/076,703, filed on March 22, 2016, entitled
"Method and system for pooled local storage by surveillance cameras," attorney docket number 0340.0002US1;
[ 0005 ] U.S. Application number 15/076,704 filed on March 22, 2016, entitled "System and method for designating surveillance camera regions of interest," attorney docket number 0340.0003US1;
[ 0006 ] U.S. Application number 15/076,705, filed on March 22, 2016, entitled
"System and method for deadzone detection in surveillance camera network," attorney docket number 0340.0004US1;
[ 0007 ] U.S. Application number 15/076,706 filed on March 22, 2016, entitled "System and method for overlap detection in surveillance camera network," attorney docket number 0340.0005US1;
[ 0008 ] U.S. Application number 15/076,708, filed on March 22, 2016, entitled
"System and method for retail customer tracking in surveillance camera network," attorney docket number 0340.0006US 1 ; r 0009 ] U.S. Application number 15/076,709, filed on March 22, 2016, entitled
"Method and system for modeling image of interest to users," attorney docket number 0340.0007US1;
[ 0010 ] U.S. Application number 15/076,710, filed on March 22, 2016, entitled
"System and method for using mobile device of zone and correlated motion detection," attorney docket number 0340.0008US1 ; [ ooii ] U.S. Application number 15/076,712, filed on March 22, 2016, entitled
"Method and system for conveying data from monitored scene via surveillance cameras," attorney docket number 0340.0009US1;
[0012] and
[0013] U.S. Application number 15/076,717, filed on March 22, 2016, entitled "System and method for controlling surveillance cameras," attorney docket number 0340.0011US1.
[ 0014 ] All of the afore-mentioned applications are incorporated herein by this reference in their entirety.
BACKGROUND OF THE INVENTION
[ 0015] Video surveillance systems are often deployed in schools, government buildings, small businesses, retail stores and corporate offices, and even many residences. These surveillance systems are typically comprised of surveillance cameras that capture image data, image data storage systems that store the image data along with possibly metadata, and increasingly analytics systems that analyze the image data and possibly generate the metadata.
[0016] The installation of surveillance systems is often complex and time consuming. First, an installer has to identify and select locations throughout the building, for example, to install the surveillance cameras. Next, the installer has to physically mount the surveillance cameras in the building and supply them with power. Data connections between the surveillance cameras and the image data storage systems and possibly the analytics systems must then be established. In many cases, this requires running data cables from data transmission devices (e.g., routers, switches, and hubs) to all of the devices, although wireless systems are becoming increasingly common.
[ 0017 ] After the physical installation, the installer must then configure the systems. Generally, configuration of the surveillance camera systems is tedious, requiring the installer to repeatedly enter configuration information such as device names, Internet Protocol (IP) addresses, media access control (MAC) addresses, device locations, and/or port settings for devices. In many cases, the installer has to travel between different locations throughout the building to configure the various components, the network, and any monitoring station. [ 0018 ] Recently, the surveillance camera systems have begun using open standards. Among other advantages, this enables users to more easily access the image data from the surveillance cameras. On user devices such as computer workstations and mobile computing devices such as tablets, smart phones and laptop computers, users can access and select image data from specific surveillance cameras for real-time viewing upon and downloading to the user devices. In addition, the users on the user devices can also access previously recorded image data stored on the image data storage systems.
[ 0019 ] Another trend concerns the analytics systems, which are becoming increasingly powerful. Often, the analytics systems will track moving objects against fixed background models. More sophisticated functions include object detection to determine the presence of an object or classify the type of object or event. The analytics systems generate video primitives or metadata for the detected objects and events, which the analytics systems can further process or send over the data networks to other systems for storage and
incorporation into the image data as metadata, for example.
[ 0020 ] While analytics systems have historically been separate systems apart from the surveillance cameras, the surveillance cameras themselves are increasingly providing this functionality. Integrating the analytics functionality within the cameras themselves has advantages. It eliminates the cost and maintenance associated with deploying a separate analytics system to accomplish the same objective, and enables more efficient analysis by eliminating the messaging overhead associated with sending the image data over the data network for analysis by the separate analytics systems, in examples.
[ 0021 ] Similar trends have emerged in the case of image data storage systems.
Surveillance cameras are being offered that include image data storage on the camera itself. Such surveillance cameras are especially attractive to smaller organizations such as stores, small companies, and local offices that want to reduce installation and maintenance expenses. Each camera can function as a stand-alone unit, and as a result there is no need to have a specialized image data storage system. With the advent of improved image compression on one hand, and the decreasing costs of data storage on the other hand, each surveillance camera is often able to store substantially larger amounts of image data than it generates,
[ 0022 ] At the same time, remote cloud image data storage systems are also available. These systems can offer a number of advantages over local image data storage systems. The organizations have fewer components to buy and install, which lowers both purchase and depreciation cost. Organizations can also pay on a per usage basis for infrequently used value-added services. Finally, the semce providers of the cloud storage systems bear the responsibility of maintaining and upgrading the storage systems and their capabilities, the cost of which the service providers can share across their managed clients.
SUMMARY OF THE INVENTION
[ 0023 ] The present invention concerns a method and system for configuring
surveillance cameras. It can be used to leverage many of the previously discussed trends, while also enabling the configuration of cameras to operate in such systems.
[ 0024 ] In general, according to one aspect, the invention features a method for configuring surveillance cameras. The method comprises displaying configuration images on user devices, deriving the configuration images from image data from the surveillance cameras, and pairing configuration information from the user devices with corresponding surveillance cameras by reference to the configuration images.
[ 0025 ] The step of displaying the configuration images could comprise displaying QR codes, for example,
[ 0026 ] Typically, image data from the surveillance cameras is sent to a registration server that derives the configuration images from the image data and pairs the
configuration information from the user devices with the surveil lance cameras. In
examples, the user device configuration information includes location information for the surveillance cameras or user account information for owners of the surveillance cameras. The configuration images are derived from image data from the surveillance cameras using a remote analytics system or an analytics system integrated within the surveillance cameras.
[ 0027 ] In another example, the camera configuration information includes camera type information . Moreover, unregistered surveil lance cameras can periodical ly sending image data to a registration server, which is used to pair the configuration information from the user device with the corresponding survei llance cameras. The method can also additionally store image data from the surveillance cameras to a cloud storage system after registration of the surveillance cameras. [ o 028 ] In general, according to another aspect, the invention features a surveillance camera system. The surveillance camera system includes user devices on which
configuration images are displayed, surveillance cameras, and a registration server. The surveillance cameras generate image data of the user devices on which the configuration images are displayed, and the registration server pairs configuration information from the user devices with corresponding surveillance cameras by reference to the configuration images. In one example, the configuration images are test patterns.
[ 0029 ] The above and other features of the invention including various novel details of construction and combinations of parts, and other advantages, will now be more particularly described with reference to the accompanying drawings and pointed out in the claims. It will be understood that the particular method and device embodying the invention are shown by way of illustration and not as a limitation of the invention. The principles and features of this invention may be employed in various and numerous embodiments without departing from the scope of the invention.
BRIEF DESCRIPTION OF THE DRAWINGS
[ 0030 ] In the accompanying drawings, reference characters refer to the same parts throughout the different views. The drawings are not necessarily to scale; emphasis has instead been placed upon illustrating the principles of the invention. Of the drawings:
[ 0031 ] Fig. 1 is a schematic diagram showing surveillance cameras along with a technician with a mobile computing device in a registration process in which a registration server supplies configuration images to the mobile computing device and analyzes the image data from the surveillance cameras;
[ 0032 ] Fig. 2 is a sequence diagram showing a process for registering a surveillance camera by deriving the configuration images from the image data to pair the surveillance camera with configuration information entered via mobile computing devices; and
[ 0033 ] Fig, 3 is a schematic diagram illustrating the organization of information in the registration database.
LED DESCRIPT
[ 0034 ] The invention now will be described more fully hereinafter with reference to the accompanying drawings, in which illustrative embodiments of the invention are shown. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
[ 0035 ] As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items. Further, the singular forms including the articles "a", "an" and "the" are intended to include the plural forms as well, unless expressly stated otherwise. It will be further understood that the terms; includes, comprises, including and/or comprising, when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Further, it will be understood that when an element, including component or subsystem, is referred to and/or shown as being connected or coupled to another element, it can be directly connected or coupled to the other element or intervening elements may be present.
[ 0036 ] Fig. 1 shows an exemplary surveillance camera and image data storage system 10 to which the present invention is applicable,
[ 0037 ] The system 10 includes surveillance cameras 103 along with possibly other security devices installed at a premises 52 of an organization. The surveillance cameras 103 generate image data 250 and communicate with each other and with other security devices over a local (enterprise) network 210 which may be wired, wireless, or a hybrid of wired and wireless links,
[ 0038 ] A number of approaches may be employed in the alternative or in a hybrid fashion to store the image data 250 generated by the surveillance cameras 103-1, 103-2, 103-3. A local image data storage system 212 is shown, deployed on the local network 210. In other examples, each or some of the cameras 103 includes a camera image data storage sy stem 174. Further, streams of image data 250 can be transferred over a network cloud 50 to a cloud or remote image data storage system 310.
[ 0039 ] The image data 250 can then be accessed over the network cloud 50 by user mobile computing devices 400 such as smartphones, tablet computing devices, laptop computer running operating systems such as Windows, Android, Linux, or IOS, in examples. User mobile computing devices 400 are also referred to as user devices. Each user device 400 includes a display screen or touch screen 402 and one or more applications 412, or "apps." The apps 412 execute upon the operating systems of the user devices 400.
[ 0040 ] A specific example showing how the cameras might be deployed is illustrated. Within the premises 52, camera 1 103-1 focuses upon person 60 located within an aisle. Camera2 103-2 detects motion of individuals 60 near a door 62 providing entry to or exit from the premises 52. Finally, camera3 103-3 detects motion near a safe 64.
[ o o 41 ] Other components of the system 10 are the video analytics systems. A cloud video analytics system is shown 312 that receives the image data from the surveillance cameras 103 via the network cloud 50. Here, the cloud video analytics system 312 might be managed by a third party hosting company and is presented to the enterprise local network 210 as a single virtual entity, in one example. In other examples, the analytics system is installed on the local network 210 and may be owned by the same business entity as the surveillance camera system 10. Further, an optional camera analytics system 176 integrated within one or more of the surveillance cameras 103 is another option.
[ 0042 ] Also shown is a registration server 314 and a registration database 3 6 on the network 318 of the cloud system. In one example, the registration server 314 is used to maintain user accounts for organizations that own surveillance camera systems 10. As a result, this registration server 314 is used, in one example, as part of a service that enables access to dedicated storage in the cloud image data storage system 310 for various organizations that subscribe to the service. In one embodiment, the registration server 314 includes a web server.
[ 0043 ] The registration server 314 could further be used to provide access to other services. It could provide subscribing organizations with remote analytics of the image data generated by the surveillance cameras 103 in the cloud video analytics system 312, In still other examples, the registration server 314 would use the cloud system to distribute image data 250 from the surveillance cameras 103 such as to user devices 400.
[ 0044 ] As part of a registration process, as the surveillance cameras 103 are installed by an installer 60, for example, it is necessary to associate those surveillance cameras 103 with configuration information such as the account for the organization owning the premises 52 and/or subscribing to services available on the cloud network 318. Further, configuration information such as where are the surveillance cameras are installed, names for each of the surveillance cameras, the type and model of surveillance cameras 103 should al so be stored to the registration database 316 in various examples. Still further, device data such as Intern et Protocol (IP) addresses, media access control (MAC) addresses is also typically stored in connection with each of the surveillance cameras 103 and in connection with the account of the organization that owns or manages the surveillance cameras 103.
[ 0045 ] In the illustrated example, the pairing between the surveillance cameras 103 and the configuration information is achieved by using a user device 400 typically operated by the installer 60. r 0046 ] In more detail, the installer 60 places the user device 400 such that the surveillance camera is able to capture an image of the display 402 of the user device. That is, the display 402 of the user device 400 is placed within the field of view 105 of the surveillance camera 103-1 by the installer 60,
[ 0047 ] Displayed on display 402 is a configuration image 410. In one example, this configuration image is a Quick Response (QR) code. Moreover, this configuration image 410 is preferably supplied by the registration server 314. In one example, the registration server 314 downloads the image when the installer 60 invokes a camera registration web page supplied by the registration server 314. In other examples, the configuration image 410 is included in or accessed by or generated by an app 412 that is installed on the user device 400.
[ 0048 ] The image data 250 collected by the surveillance camera 103-1 is then processed on an analytics system. This could be the integrated analytic system 176, a local analytics system 212 installed on the local network 210 or the cloud video analytics system 312. r 0049 ] Wherever the image data is processed, the configuration image 410 is extracted and passed to the registration server 314 or otherwise compared to the configuration image 410 provided to the user device. This allows the registration server 314 to pair
configuration information entered, for example, at the user device 400 with the specific surveillance camera 103-1 that captured the configuration image displayed by the user device 400.
[ 0050 ] Fig. 2 shows the process for pairing a surveillance camera with configuration information entered at a user device 400, for example. [ 0051 ] In more detail, upon startup, the surveillance camera 103-1 sends a request to the registration server 314 for an IP address in step 608. In one example, the request references a preconfigured Universal Resource Locator (URL) of the registration server 314 for this purpose. After receiving an IP address 264 (in the example, " 10.10.10.1 ") from the registration server 314, the process transitions to step 610.
[ 0052 ] During normal operation, the surveillance camera 103-1 stores image data to image data storage in step 610. In one example, a discrete local image data storage system 212 is used. In other examples, integrated image data storage 174 located on the surveillance camera receives the image data 250. In still other examples, the image data could be stored in the cloud image data storage system 310.
[ 0053 ] The surveillance camera 103-1 begins sending image data 250 to the registration server 314 in step 612. In one example, the surveillance camera 103-1 sends the image data periodically, such as once a minute or when the surveillance camera is triggered to enter into a configuration mode. The surveillance camera can be triggered to enter the configuration mode in response to an installer pressing an associated button on the surveillance camera, in response to the installer selecting a configuration mode setting within the app 412 executing on the user device 400, or when the surveillance camera 103- 1 is first powered-on and has never been configured before, in examples. r 0054 j At the same time or in a generally contemporaneous fashion, the app 412 installed on the user device 400 is controlled by the installer 60 to send a "request to register" message to the registration server 314 in step 614,
[ 0055 ] In one example, a configuration image 410 is then sent by the registration server 314 to the app 412 executing on the user device 400 in step 616. The app could also generate this image and send it to the server 314. In one example, the configuration image 410 is a QR code. The image type, however, is not critical. The configuration image might be any random or predefined image or pattern, such as a test pattern,
[ 0056 ] The app 412 displays the configuration image 410 on the display 402 of the user device 400. In this way, in step 618, the configuration image is presented to the surveillance camera 103-1 so that the surveillance camera 103-1 can include the configuration image 410 within image data 250-1 of the scene that the surveillance camera 103-1 captures. [ 005 ] In this process, the user device 400 and specifically the app 412 executing on the user device sends configuration information to the registration server 314 in step 620, As discussed previously, this configuration information includes possibly a user account for the owner of the surveillance camera 103 , Additional information, such as where the surveillance camera 103- 1 is installed is also sometimes entered at the user device 400 and sent to the registration server 314, Other information such as a name for the surveillance camera, the type and model of surveillance camera 103 should also be passed to the registration server 314 and stored to the registration database 316, in various examples. r 0058 j In step 622, the configuration image is sent to the registration server 314 by the surveillance camera 103- 1 in conjunction with surveillance camera information obtained from the surveillance camera 103-1. In one example, the configuration image 410 is included in image data 250-1 captured by the surveillance camera 103-1 ,
[ 0059 ] Configuration information can include information such as the assigned Internet Protocol (IP) address 264, media access control (MAC) address, camera type and serial number, in examples. The configuration information can then be sent to the registration server 314 and stored in connection with the surveillance camera 103-1. and in connection with the account of the organization that owns or manages the surveillance cameras 103 in the registration database 3 16.
[ 0060 ] In step 624, the registration server 314 extracts the configuration image 410 (e.g. QR code) sent by the surveillance camera 103 in step 622. In this case, the registration server 314 derives the configuration image 410 from the image data 250-1 sent by the surveillance camera 103- 1. To accomplish this, the registration server 3 14 sends the image data 250-1 to the cloud video analytics system 3 12, which then extracts the configuration image from the image data 250-1. In other examples, the configuration image 4 10 is extracted from the image data 250- 1 using the local analytics system or an integrated analytic system 176 of the surveillance camera. In any event, the registration server 314 extracts and matches the configuration image 410 (e.g. QR code) with the user device 400 and probably with configuration information such as the user account that was typically entered at the user device 400.
[ 0061 ] In step 626, the registration server 314 associates the surveillance camera 103-1 with the user account and any other configuration information added at the user device 400 by the installer 60, for example, and/or provided by the surveillance camera 103-1 , This information is stored in the registration database 316, in one example.
[ 0062 ] In one specific example, the registration database 316 or the registration server 314 allocates cloud storage in step 628 for the surveillance camera 103-1. Then, the registration server 314 sends path information for the cloud image data storage system to the local image data storage 212 in step 630. As a result, in step 632, image data 250-2 can now be stored to the cloud image data storage system 310 either directly by the
surveillance camera 103-1 or by the local image data storage 212. In other examples, other services could be made available to the surveillance camera 103-1 such as image analytics provided by the cloud video analytics system 312.
[ 0063 ] Figure 3 schematically illustrates exemplary content of the registration database 316. Specifically, the registration database holds many user accounts 330, account #1 330- 1... account #n, account #(n+l). For each of the accounts 330, configuration information 332-1 , 332-2 is stored for each of the surveillance cameras 103 that have been associated with that account 330-1. This configuration information might include the location where each surveillance camera 103 is installed, the type of surveillance camera, and any image data storage profile information, such as the location within the cloud image data storage system 310 where the image data 250 from each surveillance camera is stored. r 0064 j While this invention has been particularly shown and described with references to preferred embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the scope of the invention encompassed by the appended claims.

Claims

What is claimed is:
1. A method for configuring surveillance cameras, comprising:
displaying configuration images on user devices;
deriving the configuration images from image data from the surveillance
cameras; and
pairing configuration information from the user devices with corresponding surveillance cameras by reference to the configuration images.
2. The method according to claim 1, wherein displaying the configuration images comprises displaying QR codes.
3. The method according to claim I, wherein the image data from the surveillance cameras is sent to a registration server that derives the configuration images from the image data and pairs the configuration information from the user devices with the surveillance cameras.
4. The method according to claim 3, wherein the user device configuration information includes location information for the surveillance cameras.
5. The method according to claim 3, wherein the user device configuration information includes user account information for owners of the surveillance cameras.
6. The method according to claim 3, wherein the configuration images are derived from image data from the surveillance cameras using a remote analytics system or an analytics system integrated within the surveillance cameras.
7. The method according to claim 3, wherein the camera configuration information includes camera type information.
8. The method according to claim 1, further comprising unregistered surveillance cameras periodically sending image data to a registration server, which is used to pair the configuration information from the user device with the corresponding surveillance cameras.
9. The method according to claim 1, further comprising storing image data from the surveillance cameras to a cloud storage system after registration of the surveillance cameras,
10. A surveillance camera system, comprising:
user devices on which configuration images are displayed;
surveillance cameras for generating image data of the user devices on which the configuration images are displayed; and
a registration server that pairs configuration information from the user devices with corresponding surveillance cameras by reference to the configuration images.
11. The system according to claim 10, wherein the configuration images are QR codes.
12. The system according to claim 10, wherein the registration server receives the image data from the surveillance cameras and pairs the configuration information from the user devices with the surveillance cameras using the configuration images.
13. The system according to claim 12, wherein the user device configuration information includes location information for the surveillance cameras.
14. The system according to claim 12, wherein the user device configuration information includes user account information for owners of the surveillance cameras. 5. The system according to claim 12, wherein the camera configuration information includes camera type information.
16. The system according to claim 10, wherein the surveillance cameras periodically send image data to the registration server, which is used to pair the configuration information from the mobile device with the corresponding surveillance cameras.
17. The system according to claim 10, further comprising a cloud storage system for storing image data from the surveillance cameras after registration of the surveillance cameras.
18. The system according to claim 10, further comprising a remote analytics system that derives the configuration images from the image data from the surveillance cameras.
19. The system according to claim 10, further comprising an analytics system integrated within the surveillance cameras that derives the configuration images from the image data.
20. The system according to claim 10, wherein the configuration images are test patterns.
PCT/US2017/023444 2016-03-22 2017-03-21 System and method for configuring surveillance cameras using mobile computing devices Ceased WO2017165441A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US15/076,713 2016-03-22
US15/076,713 US10475315B2 (en) 2016-03-22 2016-03-22 System and method for configuring surveillance cameras using mobile computing devices

Publications (1)

Publication Number Publication Date
WO2017165441A1 true WO2017165441A1 (en) 2017-09-28

Family

ID=58548864

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2017/023444 Ceased WO2017165441A1 (en) 2016-03-22 2017-03-21 System and method for configuring surveillance cameras using mobile computing devices

Country Status (2)

Country Link
US (1) US10475315B2 (en)
WO (1) WO2017165441A1 (en)

Families Citing this family (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10192414B2 (en) * 2016-03-22 2019-01-29 Sensormatic Electronics, LLC System and method for overlap detection in surveillance camera network
US10318836B2 (en) * 2016-03-22 2019-06-11 Sensormatic Electronics, LLC System and method for designating surveillance camera regions of interest
US10665071B2 (en) 2016-03-22 2020-05-26 Sensormatic Electronics, LLC System and method for deadzone detection in surveillance camera network
US11216847B2 (en) 2016-03-22 2022-01-04 Sensormatic Electronics, LLC System and method for retail customer tracking in surveillance camera network
US9965680B2 (en) 2016-03-22 2018-05-08 Sensormatic Electronics, LLC Method and system for conveying data from monitored scene via surveillance cameras
US10764539B2 (en) 2016-03-22 2020-09-01 Sensormatic Electronics, LLC System and method for using mobile device of zone and correlated motion detection
US11601583B2 (en) 2016-03-22 2023-03-07 Johnson Controls Tyco IP Holdings LLP System and method for controlling surveillance cameras
US10347102B2 (en) 2016-03-22 2019-07-09 Sensormatic Electronics, LLC Method and system for surveillance camera arbitration of uplink consumption
US10733231B2 (en) 2016-03-22 2020-08-04 Sensormatic Electronics, LLC Method and system for modeling image of interest to users
KR102568996B1 (en) * 2016-08-25 2023-08-21 한화비전 주식회사 Surveillance camera setting method, method and system for surveillance camera management
EP3565259A1 (en) * 2016-12-28 2019-11-06 Panasonic Intellectual Property Corporation of America Three-dimensional model distribution method, three-dimensional model receiving method, three-dimensional model distribution device, and three-dimensional model receiving device
US10554950B1 (en) 2017-03-16 2020-02-04 Amazon Technologies, Inc. Collection of camera calibration data using augmented reality
US10447995B1 (en) 2017-03-16 2019-10-15 Amazon Technologies, Inc. Validation of camera calibration data using augmented reality
US11288937B2 (en) 2017-06-30 2022-03-29 Johnson Controls Tyco IP Holdings LLP Security camera system with multi-directional mount and method of operation
US11361640B2 (en) 2017-06-30 2022-06-14 Johnson Controls Tyco IP Holdings LLP Security camera system with multi-directional mount and method of operation
US10713811B2 (en) * 2017-09-29 2020-07-14 Sensormatic Electronics, LLC Security camera system with multi-directional mount and method of operation
WO2019136106A1 (en) * 2018-01-05 2019-07-11 Owl Cameras, Inc. Secured pairing of video capture device and mobile device
WO2020118450A1 (en) * 2018-12-15 2020-06-18 Genetec Inc. Method and system for enrolling a camera into a video surveillance system
FI130829B1 (en) * 2019-01-02 2024-04-12 Procemex Oy Ltd A method of using a machine-readable code for instructing camera for detecting and monitoring objects
WO2020227133A1 (en) 2019-05-06 2020-11-12 Apple Inc. Standalone wearable device configuration and interface
US11528271B2 (en) 2019-05-06 2022-12-13 Apple Inc. Authenticating and creating accounts on behalf of another user
US11669883B2 (en) 2019-06-01 2023-06-06 Apple Inc. Security model and interface for digital purchases on a wearable device
KR102040939B1 (en) * 2019-07-15 2019-11-27 한화테크윈 주식회사 Surveillance system and operation method thereof
FI129144B (en) * 2020-04-03 2021-08-13 Doop Oy Specifying desired device settings
US11190737B2 (en) 2020-04-30 2021-11-30 Genetec Inc. Method and system for identifying a video camera of a video surveillance environment
WO2023178046A1 (en) * 2022-03-18 2023-09-21 Johnson Controls Tyco IP Holdings LLP Systems and methods for camera configuration
US20230345241A1 (en) * 2022-04-25 2023-10-26 Apple Inc. Brokered service discovery and connection management
US11888929B1 (en) * 2022-11-15 2024-01-30 SimpliSafe, Inc. Load balancing device connections
US12389112B1 (en) * 2023-06-23 2025-08-12 Gopro, Inc. Systems and methods for changing image capture device operation

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030169337A1 (en) * 2002-03-08 2003-09-11 Wilson Jeremy Craig Access control system with symbol recognition
US20100110212A1 (en) * 2008-11-05 2010-05-06 Mitsubishi Electric Corporation Camera device
US20130169801A1 (en) * 2011-12-28 2013-07-04 Pelco, Inc. Visual Command Processing
US20130223625A1 (en) * 2012-02-27 2013-08-29 Gvbb Holdings S.A.R.L. Configuring audiovisual systems
US20130278780A1 (en) * 2012-04-20 2013-10-24 Robert P. Cazier Configuring an Image Capturing Device Based on a Configuration Image
US20140211018A1 (en) * 2013-01-29 2014-07-31 Hewlett-Packard Development Company, L.P. Device configuration with machine-readable identifiers
US20150215583A1 (en) * 2013-12-04 2015-07-30 Rasilient Systems, Inc. Cloud Video Surveillance

Family Cites Families (127)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3217098A (en) 1962-08-29 1965-11-09 Robert A Oswald Method of policing horse races
US4940925A (en) 1985-08-30 1990-07-10 Texas Instruments Incorporated Closed-loop navigation system for mobile robots
IL98498A (en) 1991-06-14 1994-01-25 Vardi Shlomo Electro-optical monitoring system for vehicles
US5164827A (en) 1991-08-22 1992-11-17 Sensormatic Electronics Corporation Surveillance system with master camera control of slave cameras
US5317394A (en) 1992-04-30 1994-05-31 Westinghouse Electric Corp. Distributed aperture imaging and tracking system
CA2155719C (en) 1994-11-22 2005-11-01 Terry Laurence Glatt Video surveillance system with pilot and slave cameras
US5850352A (en) 1995-03-31 1998-12-15 The Regents Of The University Of California Immersive video, including video hypermosaicing to generate from multiple video views of a scene a three-dimensional video mosaic from which diverse virtual video scene images are synthesized, including panoramic, scene interactive and stereoscopic images
US5729471A (en) 1995-03-31 1998-03-17 The Regents Of The University Of California Machine dynamic selection of one video camera/image of a scene from multiple video cameras/images of the scene in accordance with a particular perspective on the scene, an object in the scene, or an event in the scene
IL114838A0 (en) 1995-08-04 1996-11-14 Spiegel Ehud Apparatus and method for object tracking
US5969755A (en) 1996-02-05 1999-10-19 Texas Instruments Incorporated Motion based event detection system and method
US5951695A (en) 1997-07-25 1999-09-14 Hewlett-Packard Company Fast database failover
US6359647B1 (en) 1998-08-07 2002-03-19 Philips Electronics North America Corporation Automated camera handoff system for figure tracking in a multiple camera system
US7428002B2 (en) 2002-06-05 2008-09-23 Monroe David A Emergency telephone with integrated surveillance system connectivity
US6341183B1 (en) 1998-10-27 2002-01-22 The Regents Of The University Of California Graphical user interface for image acquisition and processing
US6275214B1 (en) 1999-07-06 2001-08-14 Karl C. Hansen Computer presentation system and method with optical tracking of wireless pointer
US6812835B2 (en) 2000-02-28 2004-11-02 Hitachi Kokusai Electric Inc. Intruding object monitoring method and intruding object monitoring system
US7522186B2 (en) 2000-03-07 2009-04-21 L-3 Communications Corporation Method and apparatus for providing immersive surveillance
US6643795B1 (en) 2000-03-30 2003-11-04 Hewlett-Packard Development Company, L.P. Controller-based bi-directional remote copy system with storage site failover capability
US6581000B2 (en) 2001-01-04 2003-06-17 Carnegie Mellon University Position location system and method
US20020104098A1 (en) 2001-01-31 2002-08-01 Zustak Fred J. Subscriber class television channel with class member programming
DE10143504A1 (en) 2001-09-05 2003-03-20 Sick Ag Monitoring of an area using an optoelectronic sensor, whereby illuminating light is transmitted with two different patterns to improve detection of homogenous objects and to improve system functionality testing
US7342489B1 (en) 2001-09-06 2008-03-11 Siemens Schweiz Ag Surveillance system control unit
US6970083B2 (en) 2001-10-09 2005-11-29 Objectvideo, Inc. Video tripwire
US7688349B2 (en) 2001-12-07 2010-03-30 International Business Machines Corporation Method of detecting and tracking groups of people
JP3999561B2 (en) 2002-05-07 2007-10-31 松下電器産業株式会社 Surveillance system and surveillance camera
US7242423B2 (en) 2003-06-16 2007-07-10 Active Eye, Inc. Linking zones for object tracking and camera handoff
US7623152B1 (en) 2003-07-14 2009-11-24 Arecont Vision, Llc High resolution network camera with automatic bandwidth control
US20050012817A1 (en) 2003-07-15 2005-01-20 International Business Machines Corporation Selective surveillance system with active sensor management policies
US20100013917A1 (en) 2003-08-12 2010-01-21 Keith Hanna Method and system for performing surveillance
US7286157B2 (en) 2003-09-11 2007-10-23 Intellivid Corporation Computerized method and apparatus for determining field-of-view relationships among multiple image sensors
US7450735B1 (en) 2003-10-16 2008-11-11 University Of Central Florida Research Foundation, Inc. Tracking across multiple cameras with disjoint views
US9094615B2 (en) 2004-04-16 2015-07-28 Intheplay, Inc. Automatic event videoing, tracking and content generation
US7631808B2 (en) 2004-06-21 2009-12-15 Stoplift, Inc. Method and apparatus for detecting suspicious activity using video analysis
KR100664920B1 (en) 2004-07-05 2007-01-04 삼성전자주식회사 System keyboard and remote control monitoring system
US8348732B2 (en) 2004-11-12 2013-01-08 Adaptive-Ac, Inc. Airflow control system
US7623676B2 (en) 2004-12-21 2009-11-24 Sarnoff Corporation Method and apparatus for tracking objects over a wide area using a network of stereo sensors
US7680799B2 (en) 2005-01-31 2010-03-16 Computer Associates Think, Inc. Autonomic control of a distributed computing system in accordance with a hierarchical model
US7426743B2 (en) 2005-02-15 2008-09-16 Matsushita Electric Industrial Co., Ltd. Secure and private ISCSI camera network
US7733375B2 (en) 2005-03-23 2010-06-08 Marvell International Technology Ltd. Setting imager parameters based on configuration patterns
EP1872345B1 (en) 2005-03-25 2011-03-02 Sensormatic Electronics, LLC Intelligent camera selection and object tracking
US7760908B2 (en) 2005-03-31 2010-07-20 Honeywell International Inc. Event packaged video sequence
US7409076B2 (en) 2005-05-27 2008-08-05 International Business Machines Corporation Methods and apparatus for automatically tracking moving entities entering and exiting a specified region
US7456596B2 (en) 2005-08-19 2008-11-25 Cisco Technology, Inc. Automatic radio site survey using a robot
WO2007026744A1 (en) 2005-08-30 2007-03-08 National University Corporation NARA Institute of Science and Technology Method for estimating connection relation among wide-area distributed camera and program for estimating connection relation
US9036028B2 (en) 2005-09-02 2015-05-19 Sensormatic Electronics, LLC Object tracking and alerts
US10078693B2 (en) 2006-06-16 2018-09-18 International Business Machines Corporation People searches by multisensor event correlation
US8023959B2 (en) 2006-06-28 2011-09-20 Motorola Mobility, Inc. Method and system for personal area networks
TW200822751A (en) 2006-07-14 2008-05-16 Objectvideo Inc Video analytics for retail business process monitoring
US20080158336A1 (en) 2006-10-11 2008-07-03 Richard Benson Real time video streaming to video enabled communication device, with server based processing and optional control
US20080101789A1 (en) 2006-10-30 2008-05-01 Tyco Safety Products Canada Ltd. Method and apparatus for setting camera viewpoint based on alarm event or condition
JP2010510559A (en) 2006-10-30 2010-04-02 テレ アトラス ベスローテン フエンノートシャップ Method and apparatus for detecting an object from ground mobile mapping data
US8805678B2 (en) 2006-11-09 2014-08-12 Broadcom Corporation Method and system for asynchronous pipeline architecture for multiple independent dual/stereo channel PCM processing
US8482609B1 (en) 2006-11-22 2013-07-09 Sightlogix, Inc. Methods and apparatus related to surveillance system marketing, planning and/or integration
JP4993578B2 (en) 2007-01-15 2012-08-08 オリンパスイメージング株式会社 Image file playback device, image file processing and editing device
WO2008091207A1 (en) 2007-01-26 2008-07-31 Telefonaktiebolaget Lm Ericsson (Publ) Border region processing in images
WO2008136987A2 (en) 2007-05-01 2008-11-13 Thomson Licensing Product advertising and supply chain integration
US7460149B1 (en) 2007-05-28 2008-12-02 Kd Secure, Llc Video data storage, search, and retrieval using meta-data and attribute data in a video surveillance system
US8675074B2 (en) 2007-07-20 2014-03-18 Honeywell International Inc. Custom video composites for surveillance applications
KR100904846B1 (en) 2007-08-27 2009-06-25 아주대학교산학협력단 Apparatus and method for inferring network configuration of image acquisition devices by tracking movement
WO2009045218A1 (en) 2007-10-04 2009-04-09 Donovan John J A video surveillance, storage, and alerting system having network management, hierarchical data storage, video tip processing, and vehicle plate analysis
US8013738B2 (en) 2007-10-04 2011-09-06 Kd Secure, Llc Hierarchical storage manager (HSM) for intelligent storage of large volumes of data
US9325951B2 (en) 2008-03-03 2016-04-26 Avigilon Patent Holding 2 Corporation Content-aware computer networking devices with video analytics for reducing video storage and video communication bandwidth requirements of a video surveillance network camera system
US8872940B2 (en) 2008-03-03 2014-10-28 Videoiq, Inc. Content aware storage of video data
US8339456B2 (en) 2008-05-15 2012-12-25 Sri International Apparatus for intelligent and autonomous video content generation and streaming
US8249301B2 (en) 2008-08-28 2012-08-21 International Business Machines Corporation Video object classification
US8483490B2 (en) 2008-08-28 2013-07-09 International Business Machines Corporation Calibration of video object classification
US8548297B2 (en) 2008-09-11 2013-10-01 Nice Systems Ltd. Method and system for utilizing storage in network video recorders
EP2164003A1 (en) 2008-09-12 2010-03-17 March Networks Corporation Distributed video surveillance system
JP2010074382A (en) 2008-09-17 2010-04-02 Toshiba Corp Monitor camera system and monitor video generation method
TWI492188B (en) 2008-12-25 2015-07-11 Univ Nat Chiao Tung Method for automatic detection and tracking of multiple targets with multiple cameras and system therefor
US7996718B1 (en) 2009-02-12 2011-08-09 Symantec Corporation Techniques for continuous data protection
US9674458B2 (en) 2009-06-03 2017-06-06 Flir Systems, Inc. Smart surveillance camera systems and methods
US8327186B2 (en) 2009-03-10 2012-12-04 Netapp, Inc. Takeover of a failed node of a cluster storage system on a per aggregate basis
US10275818B2 (en) 2009-04-20 2019-04-30 4-Tell, Inc. Next generation improvements in recommendation systems
US8723952B1 (en) 2009-11-01 2014-05-13 Leonid Rozenboim Tamper-resistant video surveillance network
US8848059B2 (en) 2009-12-02 2014-09-30 Apple Inc. Systems and methods for receiving infrared data with a camera designed to detect images based on visible light
US8473588B2 (en) 2010-03-30 2013-06-25 Lenovo (Singapore) Ptd. Ltd. Local and remote client computer system booting
US8594482B2 (en) 2010-05-13 2013-11-26 International Business Machines Corporation Auditing video analytics through essence generation
US20110289119A1 (en) 2010-05-20 2011-11-24 Sybase, Inc. Methods and systems for monitoring server cloud topology and resources
US8661286B2 (en) 2010-05-21 2014-02-25 Unisys Corporation QProcessor architecture in a cluster configuration
US8677180B2 (en) 2010-06-23 2014-03-18 International Business Machines Corporation Switch failover control in a multiprocessor computer system
US8533192B2 (en) 2010-09-16 2013-09-10 Alcatel Lucent Content capture device and methods for automatically tagging content
US8928756B2 (en) 2010-10-22 2015-01-06 Alcatel Lucent Surveillance video router
US9785898B2 (en) 2011-06-20 2017-10-10 Hi-Tech Solutions Ltd. System and method for identifying retail products and determining retail product arrangements
EP2538672B1 (en) 2011-06-21 2020-08-12 Axis AB Method for configuring networked cameras
US9058520B2 (en) 2011-09-22 2015-06-16 Siemens Corporation Systems and methods for hands free inspection
US10769913B2 (en) 2011-12-22 2020-09-08 Pelco, Inc. Cloud-based video surveillance management system
RU2484529C1 (en) 2012-03-21 2013-06-10 Общество с ограниченной ответственностью "Синезис" Method of ranking video data
US9129179B1 (en) 2012-05-10 2015-09-08 Amazon Technologies, Inc. Image-based object location
US9070020B2 (en) 2012-08-21 2015-06-30 International Business Machines Corporation Determination of train presence and motion state in railway environments
US9641763B2 (en) 2012-08-29 2017-05-02 Conduent Business Services, Llc System and method for object tracking and timing across multiple camera views
ES2581554T3 (en) 2012-09-10 2016-09-06 Philips Lighting Holding B.V. Light detection system and method
US9197861B2 (en) 2012-11-15 2015-11-24 Avo Usa Holding 2 Corporation Multi-dimensional virtual beam detection for video analytics
DE102012112321B4 (en) 2012-12-14 2015-03-05 Faro Technologies, Inc. Device for optically scanning and measuring an environment
JPWO2014112207A1 (en) 2013-01-15 2017-01-19 三菱電機株式会社 Surveillance system and surveillance camera
WO2014114754A1 (en) 2013-01-24 2014-07-31 Eilertsen Roger André A video sharing system for road users
US9280833B2 (en) 2013-03-05 2016-03-08 International Business Machines Corporation Topology determination for non-overlapping camera network
JP6379513B2 (en) * 2013-03-15 2018-08-29 株式会社リコー Information processing system, information processing system control method, information processing apparatus, information processing apparatus control method, and program
US8913791B2 (en) 2013-03-28 2014-12-16 International Business Machines Corporation Automatically determining field of view overlap among multiple cameras
US20140330729A1 (en) 2013-05-03 2014-11-06 Patrick Colangelo Payment processing using biometric identification
US8849764B1 (en) 2013-06-13 2014-09-30 DataGravity, Inc. System and method of data intelligent storage
US10102079B2 (en) 2013-06-13 2018-10-16 Hytrust, Inc. Triggering discovery points based on change
US10290031B2 (en) 2013-07-24 2019-05-14 Gregorio Reid Method and system for automated retail checkout using context recognition
KR102066939B1 (en) 2013-09-27 2020-01-16 한화테크윈 주식회사 Image monitoring system
US20150121470A1 (en) 2013-10-25 2015-04-30 Qualcomm Incorporated Peer-to-peer onboarding of internet of things (iot) devices over various communication interfaces
US20150208040A1 (en) 2014-01-22 2015-07-23 Honeywell International Inc. Operating a surveillance system
US9015167B1 (en) 2014-01-27 2015-04-21 Tipbit Inc. User isolated indexes for determining the context and relevance of relationships
US20150294119A1 (en) 2014-04-10 2015-10-15 International Business Machines Corporation Booting a multi-node computer system from a primary node dynamically selected based on security setting criteria
US9426428B2 (en) * 2014-04-10 2016-08-23 Smartvue Corporation Systems and methods for automated cloud-based analytics and 3-dimensional (3D) display for surveillance systems in retail stores
US9614871B2 (en) 2014-08-28 2017-04-04 International Business Machines Corporation Cloud-based surveillance with intelligent tamper protection
US9168882B1 (en) 2014-09-30 2015-10-27 Verizon Patent And Licensing Inc. Method and apparatus for providing vehicle sensor data access and storage
US9792664B2 (en) 2015-01-29 2017-10-17 Wipro Limited System and method for mapping object coordinates from a video to real world coordinates using perspective transformation
US9495614B1 (en) 2015-02-27 2016-11-15 Google Inc. Verifying labels for images using image recognition
JP6540108B2 (en) 2015-03-09 2019-07-10 富士通株式会社 Image generation method, system, device, and terminal
US9760458B2 (en) 2015-06-02 2017-09-12 Netapp, Inc. Dynamic mirroring
US20160379074A1 (en) 2015-06-25 2016-12-29 Appropolis Inc. System and a method for tracking mobile objects using cameras and tag devices
US9967446B2 (en) 2015-09-09 2018-05-08 Itx-M2M Co., Ltd. Personalized shopping mall system using virtual camera
US20170280102A1 (en) 2016-03-22 2017-09-28 Sensormatic Electronics, LLC Method and system for pooled local storage by surveillance cameras
US11601583B2 (en) 2016-03-22 2023-03-07 Johnson Controls Tyco IP Holdings LLP System and method for controlling surveillance cameras
US11216847B2 (en) 2016-03-22 2022-01-04 Sensormatic Electronics, LLC System and method for retail customer tracking in surveillance camera network
US10347102B2 (en) 2016-03-22 2019-07-09 Sensormatic Electronics, LLC Method and system for surveillance camera arbitration of uplink consumption
US10192414B2 (en) 2016-03-22 2019-01-29 Sensormatic Electronics, LLC System and method for overlap detection in surveillance camera network
US10318836B2 (en) 2016-03-22 2019-06-11 Sensormatic Electronics, LLC System and method for designating surveillance camera regions of interest
US10665071B2 (en) 2016-03-22 2020-05-26 Sensormatic Electronics, LLC System and method for deadzone detection in surveillance camera network
US9965680B2 (en) 2016-03-22 2018-05-08 Sensormatic Electronics, LLC Method and system for conveying data from monitored scene via surveillance cameras
US10764539B2 (en) 2016-03-22 2020-09-01 Sensormatic Electronics, LLC System and method for using mobile device of zone and correlated motion detection
US10733231B2 (en) 2016-03-22 2020-08-04 Sensormatic Electronics, LLC Method and system for modeling image of interest to users

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030169337A1 (en) * 2002-03-08 2003-09-11 Wilson Jeremy Craig Access control system with symbol recognition
US20100110212A1 (en) * 2008-11-05 2010-05-06 Mitsubishi Electric Corporation Camera device
US20130169801A1 (en) * 2011-12-28 2013-07-04 Pelco, Inc. Visual Command Processing
US20130223625A1 (en) * 2012-02-27 2013-08-29 Gvbb Holdings S.A.R.L. Configuring audiovisual systems
US20130278780A1 (en) * 2012-04-20 2013-10-24 Robert P. Cazier Configuring an Image Capturing Device Based on a Configuration Image
US20140211018A1 (en) * 2013-01-29 2014-07-31 Hewlett-Packard Development Company, L.P. Device configuration with machine-readable identifiers
US20150215583A1 (en) * 2013-12-04 2015-07-30 Rasilient Systems, Inc. Cloud Video Surveillance

Also Published As

Publication number Publication date
US10475315B2 (en) 2019-11-12
US20170278365A1 (en) 2017-09-28

Similar Documents

Publication Publication Date Title
US10475315B2 (en) System and method for configuring surveillance cameras using mobile computing devices
US10347102B2 (en) Method and system for surveillance camera arbitration of uplink consumption
US20220329762A1 (en) Methods and Systems for Presenting Smart Home Information in a User Interface
US11182622B2 (en) Systems and methods for locating image data for selected regions of interest
US10263802B2 (en) Methods and devices for establishing connections with remote cameras
US20180018681A1 (en) Holographic Technology Implemented Retail Solutions
US10318836B2 (en) System and method for designating surveillance camera regions of interest
US8824750B2 (en) Distributive facial matching and notification system
US20170280102A1 (en) Method and system for pooled local storage by surveillance cameras
US10516856B2 (en) Network video recorder cluster and method of operation
Guinard et al. Cloud computing, REST and mashups to simplify RFID application development and deployment
US8942990B2 (en) Return fraud protection system
US20180262720A1 (en) Method and Apparatus for Managing Provisioning of an Imaging System
CN110650373A (en) Television advertisement pushing method, smart television and storage medium
Namdeo et al. Smart Automated Surveillance System using Raspberry Pi
CN106797393B (en) Method for assigning actions to tags within a network, corresponding network and control device
KR101392126B1 (en) Dvr make use of network control system and control method
US11075775B2 (en) Home automation system including cloud server based maintenance operation communication and related methods
KR102278693B1 (en) Signage integrated management system providing Online to Offline user interaction based on Artificial Intelligence and method thereof
KR20220141655A (en) Smart mirror-based concierge service platform device using deep learning-based face recognition and voice recognition technology and its operation method
US20140101257A1 (en) Apparatus and method for audio frame loss recovery
Sutor Large-scale high-performance video surveillance
Shuxrat o’g’li et al. 1. Master of MScIT, 2. Assoc. Professor & Dean-BS, 3. Asst. Professor-IT, Sambhram University Jizzakh-Uzbekistan@ gmail. com 2. parthasarathi. murugesan@ gmail. com 3.
Trung Ubiquitous Network Technical Room Monitoring System Model Using Web Service

Legal Events

Date Code Title Description
NENP Non-entry into the national phase

Ref country code: DE

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17717933

Country of ref document: EP

Kind code of ref document: A1

122 Ep: pct application non-entry in european phase

Ref document number: 17717933

Country of ref document: EP

Kind code of ref document: A1