WO2014101385A1 - 一种自助设备视频监控处理方法及装置 - Google Patents
一种自助设备视频监控处理方法及装置 Download PDFInfo
- Publication number
- WO2014101385A1 WO2014101385A1 PCT/CN2013/078876 CN2013078876W WO2014101385A1 WO 2014101385 A1 WO2014101385 A1 WO 2014101385A1 CN 2013078876 W CN2013078876 W CN 2013078876W WO 2014101385 A1 WO2014101385 A1 WO 2014101385A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- self
- monitoring video
- service
- service equipment
- monitoring
- Prior art date
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 28
- 230000001960 triggered effect Effects 0.000 claims abstract description 28
- 238000012544 monitoring process Methods 0.000 claims description 382
- 238000000034 method Methods 0.000 claims description 52
- 238000001514 detection method Methods 0.000 claims description 28
- 238000012545 processing Methods 0.000 claims description 28
- 238000012423 maintenance Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 6
- 230000026676 system process Effects 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 210000001747 pupil Anatomy 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- 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
- H04N7/188—Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR 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
- G08B13/19665—Details related to the storage of video surveillance data
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR 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
- G08B13/19665—Details related to the storage of video surveillance data
- G08B13/19669—Event triggers storage or change of storage policy
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR 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
- G08B13/19695—Arrangements wherein non-video detectors start video recording or forwarding but do not generate an alarm themselves
Definitions
- the present application relates to the field of self-service devices, and in particular, to a self-service device video monitoring processing method and apparatus. Background technique
- the self-service equipment video surveillance system generally has more than four monitoring lines for all-weather surveillance video recording.
- the self-service equipment monitoring video system is also performing surveillance video recording, and the recorded video has almost no practical value.
- the video recorded only when the deposit is wonderful or the money is fine is valuable. The usual data is almost useless. If you record the video all the time, , resulting in a very large amount of data. Because the video with low practical value is recorded, the video storage device stores too much invalid data, which increases the storage space of the video storage device and makes the amount of data stored by the video storage device too large.
- a self-service device video monitoring and processing method includes:
- the self-service device monitoring video system is triggered to perform monitoring video recording, and the monitoring video recorded by the self-service device monitoring video system is stored;
- the self-service device monitoring video system stops monitoring video recording.
- the method further includes:
- tag information of the video recorded by the self-service device monitoring video system where the tag information is service information recorded by the self-service device service system when the user using the self-service device performs a business operation, and the service information is used for fast retrieval and The monitoring video corresponding to the business information.
- the method comprises:
- the self-service device monitoring video subsystem and the client face monitoring video subsystem in the self-service device monitoring video system are triggered to perform monitoring video recording in the low frequency data frame mode.
- the method further includes:
- the self-service device body monitoring video subsystem If yes, triggering the self-service device body monitoring video subsystem to perform monitoring video recording in the high frequency data frame mode; otherwise, the self-service device body monitoring video subsystem maintains monitoring video recording in the low frequency data frame mode;
- the method further includes:
- the client face monitoring video subsystem After detecting that the self-service device service system starts to process the business operation, the client face monitoring video subsystem performs monitoring video recording in the low frequency data frame mode to perform monitoring video recording in the high frequency data frame mode; If it is detected that the self-service device does not start processing the business operation, the customer face monitoring video subsystem maintains the monitoring video recording in the low frequency data frame mode;
- the method further includes:
- the self-service device monitoring video system in the self-service device monitoring video system is triggered to perform monitoring video recording in the high frequency data frame mode;
- the self-service device out of the monitoring video subsystem stops monitoring the video recording or the self-service device body is out of the monitoring video subsystem at a low frequency Monitor video recording in frame mode.
- the method further includes:
- the self-service device security monitoring video system is triggered to perform monitoring video recording in the high frequency data frame mode
- the self-service device safe monitoring video system stops monitoring video recording.
- a self-service device video monitoring and processing device comprising:
- a first detecting unit configured to detect whether there is a person in the self-service area
- a first triggering unit configured to trigger a self-service device monitoring video system to perform monitoring video recording if the detecting unit detects the self-service area
- a first storage unit configured to store a monitoring video recorded by the self-service device monitoring video system triggered by the first trigger unit
- a second triggering unit configured to: when the detecting unit detects that the self-service area is unmanned, trigger the self-service device monitoring video system to stop monitoring video recording.
- the method further includes:
- a second storage unit configured to store tag information of the video recorded by the self-service device monitoring video system, where the tag information is service information recorded by the self-service device service system when the user using the self-service device performs a business operation, the service The information is used to quickly retrieve the surveillance video corresponding to the business information.
- the first triggering unit is specifically configured to: when the detecting unit detects the self-service area, trigger the self-service device monitoring video subsystem and the client face monitoring in the self-service monitoring video system.
- the video subsystem performs surveillance video recording in low frequency data frame mode.
- the method further includes:
- a determining unit configured to determine whether a distance between the person and the self-service device is within a preset distance range
- a third triggering unit configured to: when the determining result of the determining unit is that the distance between the person and the self-service device is within a preset distance range And triggering the self-service device body monitoring video subsystem to perform monitoring video recording in a high frequency data frame mode;
- the device further includes:
- a second detecting unit configured to detect whether the self-service device service system starts to process a service operation
- a fourth triggering unit configured to trigger the client face monitoring video subsystem to perform monitoring video in a low frequency data frame mode if the detection result of the second detecting unit is that the self-service device service system starts to process a service operation. Recording is converted to monitoring video recording in high frequency data frame mode; and/or the apparatus further includes:
- a third detecting unit configured to detect whether the door of the self-service device body is to be opened; and a fifth triggering unit, configured to trigger the self-service when the detection result of the third detecting unit is that the door is to be opened
- the self-service device in the device monitoring video system monitors the video subsystem to perform monitoring video recording in the high frequency data frame mode;
- a sixth triggering unit configured to trigger the self-service device to monitor the video subsystem to stop monitoring the video recording system at a low frequency if the detection result of the third detecting unit is that the door is not to be opened Monitor video recording in data frame mode.
- the method further includes:
- a fourth detecting unit configured to detect whether a state of the safe of the self-service device changes
- a seventh triggering unit configured to trigger, when the fourth detecting unit detects that the state of the safe of the self-service device changes
- the self-service device safe monitoring video system performs monitoring video recording in a high frequency data frame mode
- an eighth triggering unit configured to trigger the self-service device safe monitoring video system to stop monitoring video recording if the fourth detecting unit detects that the state of the safe of the self-service device has not changed.
- the present invention provides a self-service device video monitoring and processing method for detecting whether a self-service area is a person; and detecting a self-service device monitoring video system for monitoring video recording when detecting the self-service area; In the case of no one, the self-service device monitoring video system stops monitoring video recording; and stores the monitoring video recorded by the self-service device monitoring video system. Therefore, when the self-service area is unmanned, the self-service video surveillance system does not perform surveillance video recording. When the self-service area is available, the self-service monitoring video system is triggered to perform surveillance video recording, so that the recorded video data is as effective as possible. , reduce storage space.
- the time that the query video is stored in the video storage device is increased due to the reduction of invalid video data, which increases the probability of querying the desired video. And because Reducing the generation of invalid video data reduces the storage space and reduces the overhead of the video system when storing video using a dedicated mass storage device.
- the self-service device monitoring video system communicates with the self-service device service system, and when the customer performs a business operation, triggers a corresponding type of monitoring video subsystem to perform monitoring video recording, and stores the tag information of the video recorded by the self-service device monitoring video device.
- the stored tag information makes it easier to query the corresponding monitoring video record, improves the efficiency of video retrieval, and reduces the workload of querying the surveillance video.
- FIG. 1 is a flow chart of a self-service device video monitoring processing method provided by the present application
- FIG. 2 is another flowchart of a self-service device video monitoring processing method provided by the present application
- FIG. 4 is a structural diagram of a self-service device video monitoring and processing device provided by the present application
- FIG. 5 is a self-service device video monitoring processing provided by the present application.
- FIG. 6 is still another structural diagram of a self-service device video monitoring and processing device provided by the present application. detailed description
- the present invention provides a self-service device video monitoring and processing method, which first detects whether there is a person in the self-service area, and secondly, when the self-service area is detected, triggers the self-service device monitoring video system to perform monitoring video recording, and stores the self-service.
- the device monitors the surveillance video recorded by the video system, and then, when it is detected that the self-service area is unmanned, the self-service device monitoring video system stops monitoring the video recording.
- FIG. 1 a flow chart of a self-service device video monitoring processing method provided by the present application is shown, which may include the following steps:
- Step S11 Detect whether there is someone in the self-service area.
- the self-service device monitors the area range that the video system can monitor.
- Control self-service device monitoring video system work by detecting if there is someone in the self-service area.
- the self-service equipment monitoring video system includes a self-service equipment body monitoring video subsystem, a customer face monitoring video subsystem, and a wonderful port monitoring video subsystem.
- the operating modes of the self-service device body monitoring video subsystem, the client face monitoring video subsystem, and the out-of-mouth monitoring video subsystem can be: off mode, low frequency data frame mode, and high frequency data frame mode.
- the working mode of the self-service device monitoring video subsystem, the customer face monitoring video subsystem, and the outgoing monitoring video subsystem can be the same, for example, in the case where no self-service area is detected, the self-service device
- the working mode of the body monitoring video subsystem, the customer face monitoring video subsystem and the out-of-mouth monitoring video subsystem is a closed mode or a low frequency data frame mode.
- the working mode of the self-service device body monitoring video subsystem, the client face monitoring video subsystem, and the out-of-the-box monitoring video subsystem may also be different.
- the self-service device body monitoring video subsystem is used to monitor whether the characteristics of the self-service device body change. Specifically, it is monitored whether other personnel on the self-service device body install foreign objects on the self-service device body, and the foreign matter installed on the body may cause the user to make mistakes. The operation causes the user to generate economic losses, such as illegal advertisements, such as a stolen card stealing hardware module that steals user card information and password information.
- the client face monitoring video subsystem is used to monitor user characteristics of users who use the self-service device for business operations, such as biometrics such as the user's face or pupil.
- the Mouth Monitoring Video Subsystem is used to monitor the status of the door of the self-service device, such as turning it on or off.
- an independent detecting device separated from the self-service device monitoring video system can be used to detect whether there is a person in the self-service area, and the independent detecting device can continuously detect whether there is a person in the self-service area 7 ⁇ 24 hours, and the detection result does not need to be saved. Send the test results directly to the self-service monitoring video system.
- Step S12 In the case that the self-service area is detected, the self-service device monitoring video system is triggered to perform monitoring video recording, and the monitoring video recorded by the self-service device monitoring video system is stored.
- the independent detection device can trigger all of the subsystems in the self-service monitoring video system to perform surveillance video recording.
- the independent detection device can also trigger some subsystems in the self-service monitoring video system to perform video surveillance recording.
- the independent detection device can send a trigger signal to the self-service device monitoring video system, and then the self-service device monitoring video system triggers its internal subsystem to perform monitoring video recording.
- the different subsystems of the triggered self-service monitoring video system can perform video monitoring and recording in different modes.
- the self-service monitoring video system After the self-service monitoring video system performs monitoring video recording, the monitoring video recorded by the self-service monitoring video system is stored.
- Step S13 In the case where it is detected that the self-service area is unmanned, the self-service device monitoring video system stops monitoring video recording.
- the self-service device monitoring video system receives a signal to stop monitoring the video recording, and stops monitoring the video recording. That is to say, in the embodiment, when the self-service area is unmanned, the self-service device monitoring video system is in the off mode.
- the self-service device monitoring video system itself can also be used as a detecting device to detect whether there is someone in the self-service area.
- the self-service device monitoring video system is used as the detecting device, when the self-service area is unmanned, the self-service device monitoring video system is Working in the low frequency data frame mode, when a self-service area is detected, the self-service monitoring video system is converted to monitor video recording in the high frequency data frame mode.
- the self-service device monitoring video system stops monitoring video recording in the high frequency data frame mode.
- the self-service device video monitoring system when the self-service area is unmanned, the self-service device video monitoring system does not perform monitoring video recording, and when the self-service area is available, the self-service device monitoring video system is triggered to perform monitoring video recording, thereby allowing the recorded video to be recorded.
- Data is as efficient as possible, reducing storage space.
- the workload of querying video recording is also reduced, so that the time during which the recorded video can be stored in the video storage device is increased when the video is stored in the circular storage manner, and the probability of querying the desired video is improved. And by reducing the generation of invalid video data, the storage space is reduced to reduce the video system when storing video using a dedicated mass storage device. Overhead.
- FIG. 2 another flow chart of a self-service device video monitoring processing method provided by the present application is shown.
- the embodiment shown in FIG. 1 generally describes the self-service device video monitoring processing method as a whole, and the detailed process of the self-service device video monitoring processing method is described in the self-service device working process from the self-service device video monitoring system. .
- the self-service device video monitoring processing method shown in FIG. 2 may include the following steps:
- Step S21 Detect whether there is someone in the self-service area.
- Step S21 is the same as step S11 in the self-service device video monitoring and processing method shown in FIG. 1, and details are not described herein again.
- Step S22 When the self-service area is detected, the self-service device monitoring video subsystem and the customer face monitoring video subsystem in the self-service monitoring video system are triggered to perform monitoring video recording in the low frequency data frame mode.
- the self-service device monitoring video subsystem and the customer face monitoring video subsystem in the self-service monitoring video system are triggered to perform monitoring video recording in the low-frequency data frame mode, that is, the self-service device body monitoring video
- the subsystem and customer face surveillance video subsystems are switched from off mode to surveillance video recording in low frequency data frame mode.
- the image acquisition frequency of the surveillance video recorded in the low frequency data frame mode is low, and the recorded monitoring video data amount is small and the storage space occupied is small.
- the resolution of the recorded video screen is not high, so the self-service device body monitoring video subsystem and the customer face monitoring video The subsystem can perform surveillance video recording in low frequency data frame mode.
- Step S23 Determine whether the distance between the person and the self-service device is within a preset distance range.
- step S22 After detecting the self-service area, and the self-service device monitoring video subsystem and the customer face monitoring video subsystem in the self-service monitoring video system perform the monitoring video recording in the low-frequency data frame mode, step S22 is performed, and then the determination is performed. Whether the distance between the person in the self-service area and the self-service device is within a preset distance range, if yes, step S24 is performed, otherwise step S25 is performed.
- Step S24 triggering the self-service device body monitoring video subsystem to perform monitoring video recording in the high frequency data frame mode. If the distance between the person in the self-service area and the self-service device is within a preset distance, the self-service device body monitoring video subsystem is triggered to perform monitoring video recording in the high frequency data frame mode, that is, the self-service device body monitoring video subsystem is low. Monitoring video recording in frequency data frame mode is converted to monitoring video recording in high frequency data frame mode.
- the preset distance range can be set from 1.5 meters to 2 meters.
- the self-service device body monitoring video subsystem is In the high-frequency data frame mode, the self-service device body is monitored and video recorded to monitor whether there is foreign matter on the self-service device body.
- the image acquisition frequency of the surveillance video recorded in the high frequency data frame mode is high, the recorded video data is large and the storage space is large, but the recorded surveillance video has clear picture and high resolution.
- the surveillance video recorded in the high-frequency data frame mode belongs to high-definition video.
- the high-definition video obtained by monitoring the video recording in the high-frequency data frame mode by the self-service device monitoring video subsystem can clearly identify whether there is foreign matter on the self-service device body.
- Step S25 The self-service device body monitoring video subsystem maintains monitoring video recording in the low frequency data frame mode.
- step S23 the result of the judgment is that the distance between the self-service area person and the self-service device is outside the preset distance range, and the self-service device body monitoring video subsystem still performs monitoring video recording in the low frequency data frame mode. Because the self-service area person is not within the preset distance, it will not pose a threat to the self-service device body, so the self-service device body monitoring video subsystem does not need to be converted to monitor video recording in the high-frequency data frame mode, and remains in the Monitor video recording in low-frequency data frame mode.
- Step S26 Detect whether the self-service device service system starts to process the business operation.
- the self-service device service system communicates with the client face monitoring video subsystem. After performing step S24, it is detected whether the self-service device service system starts to process the service operation, that is, whether the user who uses the self-service device inserts the bank card or whether Users who use self-service devices choose to handle cardless business. If yes, go to step S27, otherwise, go to step S28.
- Step S27 In the case that it is detected that the self-service device service system starts to process the service operation, the client face surveillance video subsystem performs monitoring video recording in the low frequency data frame mode to perform monitoring video in the high frequency data frame mode. Recording.
- the self-service device service system Upon detecting that the self-service device service system begins to process the business operation, the self-service device service system sends a message to the client face monitoring video subsystem to request the client face monitoring video subsystem to perform monitoring video recording in the high frequency data frame mode. After receiving the message sent by the self-service device service system, the client face monitoring video subsystem will perform monitoring video recording in the low frequency data frame mode to perform monitoring video recording in the high frequency data frame mode.
- Step S28 The user face monitoring video subsystem keeps monitoring video recording in the low frequency data frame mode when it is detected that the self-service device does not start processing the business operation.
- the self-service device business system does not start processing business operations, that is, when the user does not insert a bank card or choose to handle the card-free business, the user does not perform business processing and does not cause property loss, so the customer face monitoring video subsystem does not It is necessary to perform surveillance video recording in high-frequency data frame mode, and keep monitoring video recording in low-frequency data frame mode.
- Step S29 It is detected whether the door of the self-service device body is about to be opened.
- step S27 After step S27 is performed, after the self-service device service system starts to perform the business operation, it is detected whether the self-service device body is about to be opened, that is, whether the self-service device business system processes the business process to perform a good action or prepares a deposit action.
- Step S210 triggering the self-service device monitoring in the case that the door is to be opened, the self-service monitoring video subsystem of the self-service device in the video system performs monitoring video recording in the high frequency data frame mode.
- the self-service device business system When detecting that the door is about to be opened, when the self-service device business system is processed to perform a good action or a deposit action, the self-service device system sends a message to give a wonderful video monitoring video subsystem requesting a good mouth.
- the surveillance video subsystem performs video surveillance recording in the high-frequency data frame mode to achieve key monitoring of the wonderful interface.
- Step S211 In the case that it is detected that the door is not to be opened, the video monitoring subsystem of the self-service device stops monitoring video recording or the video module of the self-service device is low. Monitor video recording in frequency data frame mode.
- the self-service device service system does not send a message to give a beautiful video surveillance video subsystem when it is detected that the self-service device business process does not perform a good action or prepares a deposit action when the detection of the door is not to be opened.
- the video surveillance subsystem is required to perform video surveillance recording in the high frequency data frame mode.
- the video surveillance subsystem only needs to perform video surveillance recording in the low frequency data frame mode or close the monitoring video recording.
- the monitoring video recorded in the above method steps is stored, and the self-service device monitoring video system can also mark the stored monitoring video and store the tag information, and the stored tag information is used to retrieve the stored monitoring corresponding to the tag information. video.
- the tag information may be service information recorded by the self-service device service system when the user using the self-service device performs a business operation, such as: the user's card number information or the service serial number of the self-service device service system processing service.
- a business operation such as: the user's card number information or the service serial number of the self-service device service system processing service.
- FIG. 3 there is shown a further flowchart of a self-service device video monitoring processing method provided by the present application.
- the embodiment shown in Fig. 2 illustrates the detailed process of the self-service device video monitoring processing method from the working process of the self-service device to the subsystem in the self-service device video monitoring system.
- the detailed process of the self-service device video monitoring and processing method is described from the self-service device working process to the self-service device safe monitoring video system. .
- the self-service device video monitoring processing method shown in FIG. 3 may include the following steps:
- Step S31 Detect whether there is someone in the self-service area.
- Step S32 When the self-service area is detected, the self-service device monitoring video subsystem and the customer face monitoring video subsystem in the self-service monitoring video system are triggered to perform monitoring video recording in the low frequency data frame mode.
- Step S33 Determine whether the distance between the person and the self-service device is within a preset distance range.
- Step S34 If yes, triggering the self-service device body monitoring video subsystem to perform monitoring video recording in the high frequency data frame mode.
- Step S35 The self-service device body monitoring video subsystem maintains monitoring video recording in the low frequency data frame mode.
- Step S36 Detect whether the self-service device service system starts to process the business operation.
- Step S37 In the case that it is detected that the self-service device service system starts to process the service operation, the client face surveillance video subsystem performs monitoring video recording in the low frequency data frame mode to perform monitoring video in the high frequency data frame mode. Recording.
- Step S38 In the case that it is detected that the self-service device does not start processing the business operation, the customer face surveillance video subsystem keeps monitoring video recording in the low frequency data frame mode.
- Step S39 It is detected whether the door of the self-service device body is about to be opened.
- Step S310 triggering the self-service device monitoring in the case that the door is to be opened, the self-service monitoring video subsystem of the self-service device in the video system performs monitoring video recording in the high frequency data frame mode.
- Step S311 In the case that it is detected that the door is not to be opened, the video monitoring subsystem of the self-service device stops monitoring video recording or the video module of the self-service device is low. Monitor video recording in frequency data frame mode.
- Steps S21 to S311 are the same as steps S21 to S211 in the self-service device video monitoring processing method shown in FIG. 2, and details are not described herein again.
- Step S312 Detect whether the state of the safe of the self-service device changes.
- the change in the status of the safe that detects the self-service device is mainly to detect whether the self-service maintenance personnel are required to perform cash maintenance or whether the safe is subjected to violent attacks by outsiders.
- Step S313 When it is detected that the status of the safe of the self-service device changes, the self-service device security monitoring video system is triggered to perform monitoring video recording in the high frequency data frame mode.
- the self-service device security monitoring video needs to be triggered to monitor the video in the high-frequency data frame mode. Recording. Or when the safe of the self-service device is subjected to violent attacks by outsiders, that is, the state of the safe of the self-service device changes, and the security monitoring video of the self-service device is also required to perform monitoring video recording in the high-frequency data frame mode to implement the self-service device. The focus of the safe is monitored.
- Step S314 When it is detected that the state of the safe of the self-service device has not changed, the safe monitoring video of the self-service device stops monitoring video recording.
- the self-service device's safe monitoring video stops monitoring the video recording and switches to the initial working mode, such as: off mode or low frequency data frame mode.
- the monitoring video recorded in the above method step is stored, and the stored monitoring video is marked, and the tag information is stored, and the stored tag information is used to retrieve the storage corresponding to the tag information.
- the tag information may be the service information recorded by the self-service device service system when the user using the self-service device performs a business operation, such as: the user's card number information or the service serial number of the self-service device service system processing service.
- the recorded video data is made as effective as possible, but also the storage space self-service device is reduced, and the monitoring video system communicates with the self-service device service system, and when the customer performs a business operation, the corresponding type of monitoring video device is triggered to perform monitoring video recording.
- the tag information of the video recorded by the self-service device monitoring video device is stored, and the stored tag information is used to make it easier to query the corresponding monitoring video record, thereby improving the efficiency of the video retrieval and reducing the workload of querying the monitoring video.
- the present application further provides a structure diagram of a self-service device video monitoring and processing device, as shown in FIG. 4 , self-service device video monitoring processing
- the device includes: a first detecting unit 401, a first triggering unit 402, a first storage unit 403, and a second triggering unit 404.
- the first detecting unit 401 is configured to detect whether there is a person in the self-service area.
- the self-service device monitors the area range that the video system can monitor.
- Control self-service device monitoring video system work by detecting if there is someone in the self-service area.
- the first detecting unit 401 may be an independent detecting device for detecting whether there is a person in the self-service area.
- the first triggering unit 402 is configured to trigger the self-service device monitoring video system to perform monitoring video recording if the first detecting unit 401 detects the self-service area.
- the first trigger unit 402 can trigger all subsystems in the self-service device monitoring video system to perform monitoring video recording.
- some subsystems in the self-service monitoring video system can also be triggered for video surveillance recording.
- the first trigger unit 402 can send a trigger signal to the self-service device monitoring video system, and then the self-service device monitoring video system triggers its internal subsystem to perform monitoring video recording.
- the different subsystems of the triggered self-service monitoring video system can perform video surveillance recording in different modes.
- the first trigger unit 402 can be an independent detecting device.
- the first storage unit 403 is configured to store the monitoring video recorded by the self-service monitoring video system triggered by the first trigger unit 402.
- the self-service device monitoring video system may also mark the stored monitoring video and store the tag information, and the stored tag information is used to retrieve the stored monitoring video corresponding to the tag information.
- the second triggering unit 403 is configured to trigger the self-service device monitoring video system to stop monitoring video recording if the first detecting unit 401 detects that the self-service area is unmanned.
- the self-service device monitoring video system receives the trigger signal of the stop monitoring video recording sent by the second trigger unit 403, and stops monitoring the video recording. That is to say, in this embodiment, when the self-service area is unmanned, the self-service device monitoring video system is in the off mode.
- FIG. 5 is another structural diagram of a self-service device video monitoring and processing device according to the present application.
- the self-service device video monitoring and processing device shown in FIG. 4 further includes:
- the second storage unit 501 is configured to store the tag information of the video recorded by the self-service device monitoring video system, where the tag information is the service information recorded by the self-service device service system when the user using the self-service device performs a business operation.
- the self-service device monitoring video system can mark the stored monitoring video and store the tag information, and the stored tag information is used to retrieve the stored monitoring video corresponding to the tag information.
- the tag information can be recorded by the self-service device service system when the user operates the self-service device.
- the business information such as: the user's card number information or the business serial number of the self-service device business system processing business.
- the determining unit 502 is configured to determine whether the distance between the person and the self-service device is within a preset distance range.
- the first detecting unit 401 detects the self-service area person, and the first trigger unit triggers the self-service device monitoring video subsystem and the customer face monitoring video subsystem in the self-service monitoring video system to monitor in the low frequency data frame mode. After the video is recorded, it is determined whether the distance between the person in the self-service area and the self-service device is within a preset distance range. If yes, the third trigger unit 503 is triggered, otherwise no unit is triggered.
- the third triggering unit 503 is configured to trigger the self-service device body monitoring video subsystem to perform monitoring video in the high frequency data frame mode when the determining result of the determining unit 502 is that the distance between the human and the self-service device is within a preset distance range. Recording.
- the self-service device body monitoring video subsystem is triggered to perform monitoring video recording in the high frequency data frame mode.
- the second detecting unit 504 is configured to detect whether the self-service device service system starts to process the service operation. After the third trigger unit 503 triggers the self-service device collective monitoring video subsystem to perform monitoring video recording in the high-frequency data frame mode, it is detected whether the self-service device service system starts to process the service operation, that is, whether the user of the self-service device inserts the bank card. Or choose to apply for a card-free business.
- the fourth triggering unit 505 is configured to trigger, when the detection result of the second detecting unit 504 is that the self-service device service system starts to process the service operation, triggering the client face monitoring video subsystem to perform monitoring video in the low frequency data frame mode. Recording is converted to surveillance video recording in high frequency data frame mode.
- the self-service device service system When the second detecting unit 504 detects that the self-service device service system starts processing the business operation, the self-service device service system sends a message to the client face monitoring video subsystem to request the client face monitoring video subsystem to monitor in the high frequency data frame mode. Video recording. After receiving the message sent by the self-service device service system, the client face monitoring video subsystem triggers the client face monitoring video subsystem to perform monitoring video recording in the low frequency data frame mode to be monitored in the high frequency data frame mode. Frequency recording.
- the third detecting unit 506 is configured to detect whether the door of the self-service device body is about to be opened.
- the fourth trigger unit 505 triggers the client face monitoring video subsystem to perform monitoring video recording in the low frequency data frame mode to convert the video recording in the high frequency data frame mode to detect whether the self-service device body is going to be out When it is turned on, it detects whether the self-service device business system processes the business process to perform a wonderful action or prepares a deposit action.
- the fifth triggering unit 507 is configured to trigger the self-service device to monitor the video subsystem in the high-frequency data in the self-service device monitoring video system when the detection result of the third detecting unit 506 is that the door is to be opened. Monitor video recording in frame mode.
- the self-service device service system sends a message to the fifth trigger unit 507, which triggers the video monitoring and recording system to perform video surveillance recording in the high frequency data frame mode. Focus on monitoring the key points.
- the sixth triggering unit 508 is configured to trigger the self-service device to monitor the video subsystem to stop monitoring the video system in the low frequency data if the detection result of the third detecting unit 506 is that the door is not to be turned on. Monitor video recording in frame mode.
- the third detecting unit 506 detects that the gateway is not to be turned on, that is, when the self-service device processing system is not detected to perform a good action or prepares a deposit action, the self-service device service system does not send a message.
- the port monitoring video subsystem requires the video surveillance subsystem to perform video surveillance recording in the high frequency data frame mode.
- the video surveillance subsystem only needs to perform video surveillance recording or stop monitoring in the low frequency data frame mode. Video recording. Still another embodiment
- FIG. 6 is another structural diagram of a self-service device video monitoring and processing device provided by the present application.
- the base of the video monitoring and processing device for a self-help device shown in FIG. 5 further includes:
- the fourth detecting unit 601 is configured to detect whether the state of the safe of the self-service device changes. Whether the status of the safe of the self-service device is changed is mainly to detect whether the self-service maintenance personnel need to perform cash maintenance or whether the safe is subjected to violent attacks by outsiders.
- the seventh triggering unit 602 is configured to trigger the self-service device security monitoring video system to perform monitoring video recording in the high frequency data frame mode when the fourth detecting unit 601 detects that the state of the safe of the self-service device changes. .
- the self-service device security monitoring video needs to be triggered to monitor the video in the high-frequency data frame mode. Recording. Or when the safe of the self-service device is subjected to violent attacks by outsiders, that is, the state of the safe of the self-service device changes, and the security monitoring video of the self-service device is also required to perform monitoring video recording in the high-frequency data frame mode to implement the self-service device. The focus of the safe is monitored.
- the eighth triggering unit 603 is configured to trigger the self-service device safe monitoring video system to stop monitoring video recording if the fourth detecting unit detects that the state of the safe of the self-service device has not changed.
- the safe monitoring video of the self-help device stops monitoring the video recording, and switches to the initial working mode, such as: the closed mode or the low frequency data frame mode.
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Signal Processing (AREA)
- Human Computer Interaction (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
Description
Claims
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
AU2013370769A AU2013370769B2 (en) | 2012-12-28 | 2013-07-05 | Video surveillance processing method and device for self-service equipment |
US14/442,068 US20150288934A1 (en) | 2012-12-28 | 2013-07-05 | Video surveillance processing method and device for self-service equipment |
EP13868752.0A EP2940661A4 (en) | 2012-12-28 | 2013-07-05 | VIDEO SURVEILLANCE PROCESSING METHOD AND DEVICE FOR SELF-SERVICE EQUIPMENT |
ZA2015/03692A ZA201503692B (en) | 2012-12-28 | 2015-05-25 | Video surveillance processing method and device for self-service equipment |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201210586122.4 | 2012-12-28 | ||
CN201210586122.4A CN103049955B (zh) | 2012-12-28 | 2012-12-28 | 一种自助设备视频监控处理方法及装置 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2014101385A1 true WO2014101385A1 (zh) | 2014-07-03 |
Family
ID=48062580
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2013/078876 WO2014101385A1 (zh) | 2012-12-28 | 2013-07-05 | 一种自助设备视频监控处理方法及装置 |
Country Status (7)
Country | Link |
---|---|
US (1) | US20150288934A1 (zh) |
EP (1) | EP2940661A4 (zh) |
CN (1) | CN103049955B (zh) |
AU (1) | AU2013370769B2 (zh) |
CL (1) | CL2015001648A1 (zh) |
WO (1) | WO2014101385A1 (zh) |
ZA (1) | ZA201503692B (zh) |
Families Citing this family (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103049955B (zh) * | 2012-12-28 | 2015-09-23 | 广州广电运通金融电子股份有限公司 | 一种自助设备视频监控处理方法及装置 |
CN103747218A (zh) * | 2014-01-27 | 2014-04-23 | 上海朗尚科贸有限公司 | 视频监控自动存储装置 |
CN105791730B (zh) * | 2014-12-23 | 2018-10-30 | 北京同步科技有限公司 | 视频监控中的预录***及其预录方法 |
CN104601918B (zh) * | 2014-12-29 | 2018-02-06 | 小米科技有限责任公司 | 视频录制方法和装置 |
CN106162067A (zh) * | 2015-04-20 | 2016-11-23 | 杭州萤石网络有限公司 | 监控方法、设备和***以及网络设备 |
CN105338317A (zh) * | 2015-10-29 | 2016-02-17 | 中国邮政集团公司广州市分公司 | 一种用于信报箱的监控方法与监控装置 |
JP6702045B2 (ja) * | 2016-07-11 | 2020-05-27 | 沖電気工業株式会社 | 監視装置 |
CN107547854A (zh) * | 2016-09-12 | 2018-01-05 | 郑州蓝视科技有限公司 | 多楼层视频采集传输方法 |
CN106781104A (zh) * | 2017-02-14 | 2017-05-31 | 深圳怡化电脑股份有限公司 | 一种银行自助终端的监控方法及监控装置 |
CN107395968A (zh) * | 2017-07-26 | 2017-11-24 | Tcl移动通信科技(宁波)有限公司 | 移动终端及其录像操作检测处理方法、及存储介质 |
RU2725708C1 (ru) * | 2019-10-11 | 2020-07-03 | Акционерное общество "Федеральный центр науки и высоких технологий "Специальное научно-производственное объединение "Элерон" (АО "ФЦНИВТ "СНПО "Элерон") | Малокадровая мобильная система видеонаблюдения и охранной сигнализации |
CN112583922B (zh) * | 2020-12-16 | 2022-09-20 | 罗普特科技集团股份有限公司 | 视频监控服务智能调度*** |
CN113672762A (zh) * | 2021-04-23 | 2021-11-19 | 国网浙江省电力有限公司金华供电公司 | 一种用于智慧物流仓储园区的物流监控感知*** |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006060328A (ja) * | 2004-08-17 | 2006-03-02 | Sumitomo Electric Ind Ltd | 監視方法及び監視システム |
CN101201955A (zh) * | 2007-12-19 | 2008-06-18 | 中国科学院长春光学精密机械与物理研究所 | Atm的智能监控***及其方法 |
JP4673242B2 (ja) * | 2006-03-20 | 2011-04-20 | 日立電子サービス株式会社 | 監視システム |
CN201845384U (zh) * | 2010-11-17 | 2011-05-25 | 广州市浩云安防科技工程有限公司 | 一种银行监控管理装置 |
CN103049955A (zh) * | 2012-12-28 | 2013-04-17 | 广州广电运通金融电子股份有限公司 | 一种自助设备视频监控处理方法及装置 |
Family Cites Families (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5726430A (en) * | 1995-11-03 | 1998-03-10 | Wilson Atm Services | Mobile banking devices and materials for construction of same |
US20040150717A1 (en) * | 2003-01-21 | 2004-08-05 | Page Warren S. | Digital in-car video surveillance system |
GB2456951B (en) * | 2003-12-03 | 2009-12-16 | Safehouse Internat Inc | Recording a sequence of images |
KR20060071584A (ko) * | 2004-12-22 | 2006-06-27 | 삼성테크윈 주식회사 | 이동통신 단말기를 이용한 감시 카메라 장치 및 그 제어방법 |
US20090201372A1 (en) * | 2006-02-13 | 2009-08-13 | Fraudhalt, Ltd. | Method and apparatus for integrated atm surveillance |
KR100883065B1 (ko) * | 2007-08-29 | 2009-02-10 | 엘지전자 주식회사 | 모션 검출에 의한 녹화 제어장치 및 방법 |
EP2238758A4 (en) * | 2008-01-24 | 2013-12-18 | Micropower Technologies Inc | VIDEO DISTRIBUTION SYSTEMS USING WIRELESS CAMERAS |
CN102055946A (zh) * | 2009-11-06 | 2011-05-11 | 深圳英飞拓科技股份有限公司 | 监控视频录像依时间追溯回放方法及设备 |
CN101710980A (zh) * | 2009-11-30 | 2010-05-19 | 成都市华为赛门铁克科技有限公司 | 视频监控信息处理方法、装置以及视频监控*** |
TW201123881A (en) * | 2009-12-31 | 2011-07-01 | Vivotek Inc | Multimedia stream recording method and program product and device for implementing the same. |
-
2012
- 2012-12-28 CN CN201210586122.4A patent/CN103049955B/zh active Active
-
2013
- 2013-07-05 EP EP13868752.0A patent/EP2940661A4/en not_active Ceased
- 2013-07-05 WO PCT/CN2013/078876 patent/WO2014101385A1/zh active Application Filing
- 2013-07-05 AU AU2013370769A patent/AU2013370769B2/en not_active Ceased
- 2013-07-05 US US14/442,068 patent/US20150288934A1/en not_active Abandoned
-
2015
- 2015-05-25 ZA ZA2015/03692A patent/ZA201503692B/en unknown
- 2015-06-12 CL CL2015001648A patent/CL2015001648A1/es unknown
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006060328A (ja) * | 2004-08-17 | 2006-03-02 | Sumitomo Electric Ind Ltd | 監視方法及び監視システム |
JP4673242B2 (ja) * | 2006-03-20 | 2011-04-20 | 日立電子サービス株式会社 | 監視システム |
CN101201955A (zh) * | 2007-12-19 | 2008-06-18 | 中国科学院长春光学精密机械与物理研究所 | Atm的智能监控***及其方法 |
CN201845384U (zh) * | 2010-11-17 | 2011-05-25 | 广州市浩云安防科技工程有限公司 | 一种银行监控管理装置 |
CN103049955A (zh) * | 2012-12-28 | 2013-04-17 | 广州广电运通金融电子股份有限公司 | 一种自助设备视频监控处理方法及装置 |
Also Published As
Publication number | Publication date |
---|---|
CL2015001648A1 (es) | 2015-08-21 |
CN103049955B (zh) | 2015-09-23 |
EP2940661A1 (en) | 2015-11-04 |
ZA201503692B (en) | 2016-05-25 |
AU2013370769A1 (en) | 2015-05-28 |
US20150288934A1 (en) | 2015-10-08 |
CN103049955A (zh) | 2013-04-17 |
AU2013370769B2 (en) | 2016-06-16 |
EP2940661A4 (en) | 2016-11-23 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2014101385A1 (zh) | 一种自助设备视频监控处理方法及装置 | |
CN201974845U (zh) | 综合身份验证器 | |
CN101406350A (zh) | 一种指纹文件柜***及其控制方法 | |
US20170004687A1 (en) | A merchandise security system with data collection features and relavant technical field | |
WO2018024165A1 (zh) | 一种报警影像记录方法及装置 | |
CN107146171A (zh) | 一种酒店管理*** | |
WO2014101220A1 (zh) | 基于人脸识别的智能安防*** | |
JP5752882B2 (ja) | 監視カメラシステム | |
CN112578172A (zh) | 一种用于计量箱的多维可视化监控装置 | |
CN201087655Y (zh) | 移动网络监控保险柜 | |
CN100476157C (zh) | 移动网络监控保险柜 | |
CN110388138A (zh) | 一种自动提醒用户更换解锁密码的方法、门锁***及门锁 | |
CN101303785A (zh) | 一种存/取款机的安全监控***及方法 | |
CN107292998B (zh) | 一种酒店自助入住控制***及方法 | |
CN107507323A (zh) | 一种门禁管理*** | |
CN108351940A (zh) | 用于信息安全事件的高频启发式数据获取与分析的***和方法 | |
JP6923990B1 (ja) | 建物監視システム | |
US11466506B2 (en) | Touchless smart storage box with face recognition | |
WO2018006319A1 (zh) | 一种报警的方法及*** | |
TWM337796U (en) | Face recognition system and security system comprising same | |
CN202995905U (zh) | 具有人脸识别功能的自助电子存取款机 | |
CN112434352A (zh) | 一种计算机防盗*** | |
CN205983616U (zh) | 一种智能访客机 | |
CN110735581A (zh) | 一种银行智能尾箱柜 | |
CN205688845U (zh) | 一种atm机智能防护舱 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 13868752 Country of ref document: EP Kind code of ref document: A1 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 14442068 Country of ref document: US |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2013868752 Country of ref document: EP |
|
ENP | Entry into the national phase |
Ref document number: 2013370769 Country of ref document: AU Date of ref document: 20130705 Kind code of ref document: A |
|
NENP | Non-entry into the national phase |
Ref country code: DE |