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 PDF

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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
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WO
WIPO (PCT)
Prior art keywords
self
monitoring video
service
service equipment
monitoring
Prior art date
Application number
PCT/CN2013/078876
Other languages
English (en)
French (fr)
Inventor
王庆华
董学文
肖大海
谢卫平
雍容
Original Assignee
广州广电运通金融电子股份有限公司
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 广州广电运通金融电子股份有限公司 filed Critical 广州广电运通金融电子股份有限公司
Priority to AU2013370769A priority Critical patent/AU2013370769B2/en
Priority to US14/442,068 priority patent/US20150288934A1/en
Priority to EP13868752.0A priority patent/EP2940661A4/en
Publication of WO2014101385A1 publication Critical patent/WO2014101385A1/zh
Priority to ZA2015/03692A priority patent/ZA201503692B/en

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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.

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Abstract

一种自助设备视频监控处理方法包括：检测自助服务区是否有人；在检测到所述自助服务器有人的情况下，触发自助设备监控视频***进行监控视频录制，并存储所述自助设备监控视频***录制的监控视频；在检测到所述自助服务区无人的情况下，自助设备监控视频***停止监控视频录制。因此本方法当自助服务区无人时，自助设备视频监控***不会进行监控视频录制，当自助服务区有人时，才触发自助设备监控视频***进行监控视频录制，从而让录制的视频数据尽可能有效，减少存储空间。由于无效视频数据的减少导致查询视频记录的工作量也减少。

Description

一种自助设备视频监控处理方法及装置 本申请要求于 2012 年 12 月 28 日提交中国专利局、 申请号为 201210586122.4、 发明名称为"一种自助设备视频监控处理方法及装置"的中国 专利申请的优先权， 其全部内容引用在本申请中。 技术领域
本申请涉及自助设备技术领域，特别涉及一种自助设备视频监控处理方法 及装置。 背景技术
目前自助设备视频监控***一般有四路以上监控线路进行全天候监控视 频录制， 在服务区无人时， 自助设备监控视频***也在进行监控视频录制， 而 录制的视频几乎没有实用价值。 如自助设备监控视频***中的出妙口监控视 频， 只有在存款加妙或取款出妙时录制的视频才有价值， 平时的数据几乎没有 用处， 如果把出妙口所有时间的视频都录制下来， 导致数据量非常大。 因为录 制了实用价值不高的视频， 导致视频存储设备中存储过多无效数据，增加了视 频存储设备存储空间， 使视频存储设备存储的数据量过大。
由于无效视频数据占用 4艮大一部分存储空间，所以如果采用专用的海量存 储设备存储自助设备录制的监控视频，会增加***的开销。 当然如果采用循环 存储的方式存储自助设备录制的监控视频，在存储设备容量满之后，会使新产 生的数据覆盖以前的数据， 缩短视频存储的时间， 由于视频存储时间缩短， 导 致在存储设备中查询客户需要的监控视频时，如果所需的监控视频已经被新产 生的视频数据覆盖，会导致查询不到所需的监控视频，可能会给客户造成损失。
因而，现在急需一种自助设备视频监控处理方法， 以减少录制的监控视频 的数据量， 从而减小监控视频存储空间， 提高查询存储的监控视频的效率。 发明内容
本申请所要解决的技术问题是提供一种自助设备视频监控处理方法，以达 到使录制的视频数据尽可能有效， 减少存储空间的目的。 技术方案如下： 一种自助设备视频监控处理方法， 包括：
检测自助服务区是否有人；
在检测到所述自助服务区有人的情况下，触发自助设备监控视频***进行 监控视频录制， 并存储所述自助设备监控视频***录制的监控视频；
在检测到所述自助服务区无人的情况下， 自助设备监控视频***停止监控 视频录制。
优选的， 还包括：
存储所述自助设备监控视频***录制的视频的标记信息，其中所述标记信 息为使用自助设备的用户进行业务操作时， 自助设备业务***记录的业务信 息， 所述业务信息用于快速检索与该业务信息相对应的监控视频。
优选的， 包括：
在检测到所述自助服务区有人的情况下，触发自助设备监控视频***中的 自助设备机体监控视频子***和客户人脸监控视频子***在低频率数据帧模 式下进行监控视频录制。
优选的， 还包括：
判断人和自助设备的距离是否在预设的距离范围内；
如果是，触发所述自助设备机体监控视频子***在高频率数据帧模式下进 行监控视频录制； 否则， 所述自助设备机体监控视频子***保持在低频率数据 帧模式下进行监控视频录制；
和 /或所述方法还包括：
在检测到自助设备业务***开始处理业务操作的情况下，所述客户人脸监 控视频子***在低频率数据帧模式下进行监控视频录制转换为在高频率数据 帧模式下进行监控视频录制；在检测到自助设备没有开始处理业务操作的情况 下，所述客户人脸监控视频子***保持在低频率数据帧模式下进行监控视频录 制；
和 /或所述方法还包括：
在检测到所述出妙门将要开启的情况下 ,触发自助设备监控视频***中的 自助设备出妙口监控视频子***在高频率数据帧模式下进行监控视频录制；在 检测到所述出妙门没有将要开启的情况下，所述自助设备出妙口监控视频子系 统停止监控视频录制或所述自助设备机体出妙口监控视频子***在低频率数 据帧模式下进行监控视频录制。
优选的， 还包括：
检测自助设备的保险箱的状态是否发生变化；
在检测到所述自助设备的保险箱的状态发生变化的情况下，触发所述自助 设备保险箱监控视频***在高频率数据帧模式下进行监控视频录制；
在检测到所述自助设备的保险箱的状态没有发生变化的情况下，所述自助 设备保险箱监控视频***停止监控视频录制。
一种自助设备视频监控处理装置， 包括：
第一检测单元， 用于检测自助服务区是否有人；
第一触发单元， 用于在检测单元检测到所述自助服务区有人的情况下，触 发自助设备监控视频***进行监控视频录制；
第一存储单元，用于存储第一触发单元触发的自助设备监控视频***录制 的监控视频；
第二触发单元， 用于在检测单元检测到所述自助服务区无人的情况下，触 发自助设备监控视频***停止监控视频录制。
优选的， 还包括：
第二存储单元，用于存储所述自助设备监控视频***录制的视频的标记信 息， 其中所述标记信息为使用自助设备的用户进行业务操作时， 自助设备业务 ***记录的业务信息，所述业务信息用于快速检索与该业务信息相对应的监控 视频。
优选的， 所述第一触发单元具体用于： 在所述检测单元检测到所述自助服 务区有人的情况下，触发自助设备监控视频***中的自助设备机体监控视频子 ***和客户人脸监控视频子***在低频率数据帧模式下进行监控视频录制。
优选的， 还包括：
判断单元， 用于判断人和自助设备的距离是否在预设的距离范围内； 第三触发单元，用于在所述判断单元的判断结果为人和自助设备的距离在 预设的距离范围内时，触发所述自助设备机体监控视频子***在高频率数据帧 模式下进行监控视频录制；
和 /或所述装置还包括：
第二检测单元， 用于检测自助设备业务***是否开始处理业务操作； 第四触发单元，用于在所述第二检测单元的检测结果为自助设备业务*** 开始处理业务操作的情况下，触发所述客户人脸监控视频子***在低频率数据 帧模式下进行监控视频录制转换为在高频率数据帧模式下进行监控视频录制； 和 /或所述装置还包括：
第三检测单元， 用于检测自助设备机体的出妙门是否将要开启； 第五触发单元，用于在所述第三检测单元的检测结果为所述出妙门将要开 启的情况下，触发自助设备监控视频***中的自助设备出妙口监控视频子*** 在高频率数据帧模式下进行监控视频录制；
第六触发单元 ,用于在所述第三检测单元的检测结果为所述出妙门没有将 要开启的情况下，触发所述自助设备出妙口监控视频子***停止监控视频录制 统在低频率数据帧模式下进行监控视频录制。
优选的， 还包括：
第四检测单元， 用于检测自助设备的保险箱的状态是否发生变化； 第七触发单元，用于在所述第四检测单元检测到所述自助设备的保险箱的 状态发生变化的情况下 ,触发所述自助设备保险箱监控视频***在高频率数据 帧模式下进行监控视频录制；
第八触发单元，用于在所述第四检测单元检测到所述自助设备的保险箱的 状态没有发生变化的情况下，触发所述自助设备保险箱监控视频***停止监控 视频录制。
与现有技术相比， 本申请的有益效果是：
本申请提供一种自助设备视频监控处理方法， 检测自助服务区是否有人； 在检测到所述自助服务区有人的情况下，触发自助设备监控视频***进行监控 视频录制； 在检测到所述自助服务区无人的情况下， 自助设备监控视频***停 止监控视频录制； 存储所述自助设备监控视频***录制的监控视频。 因此， 当 自助服务区无人时， 自助设备视频监控***不会进行监控视频录制， 当自助服 务区有人时， 才触发自助设备监控视频***进行监控视频录制，从而让录制的 视频数据尽可能有效， 减少存储空间。 由于无效视频数据的减少导致查询视频 在视频存储设备中存储的时间增长，提高了查询到所需视频的概率。 并且由于 减少无效视频数据的产生，减少了存储空间使得在采用专用的海量存储设备进 行存储视频时减少视频***的开销。
进一步的， 自助设备监控视频***和自助设备业务***进行通信，在客户 进行业务操作时，触发相应类型的监控视频子***进行监控视频录制， 并存储 自助设备监控视频设备录制的视频的标记信息，通过存储的标记信息使查询相 应监控视频记录更加容易，提高视频检索的效率的同时减少了查询监控视频的 工作量。 附图说明
为了更清楚地说明本申请实施例中的技术方案，下面将对实施例描述中所 需要使用的附图作简单地介绍，显而易见地， 下面描述中的附图仅仅是本申请 的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提 下， 还可以根据这些附图获得其他的附图。
图 1是本申请提供的一种自助设备视频监控处理方法的一种流程图； 图 2是本申请提供的一种自助设备视频监控处理方法的另一种流程图； 图 3是本申请提供的一种自助设备视频监控处理方法的再一种流程图； 图 4是本申请提供的一种自助设备视频监控处理装置的一种结构图； 图 5是本申请提供的一种自助设备视频监控处理装置的另一种结构图； 图 6是本申请提供的一种自助设备视频监控处理装置的再一种结构图。 具体实施方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清 楚、 完整地描述， 显然， 所描述的实施例仅仅是本申请一部分实施例， 而不是 全部的实施例。基于本申请中的实施例， 本领域普通技术人员在没有做出创造 性劳动前提下所获得的所有其他实施例， 都属于本申请保护的范围。
本申请提供一种自助设备视频监控处理方法，首先检测自助服务区是否有 人， 其次在检测到所述自助服务区有人的情况下，触发自助设备监控视频*** 进行监控视频录制， 并存储所述自助设备监控视频***录制的监控视频， 然后 在检测到所述自助服务区无人的情况下， 自助设备监控视频***停止监控视频 录制。以下将列举实施例对本申请提供的一种自助设备视频监控处理方法进行 伴细说明。 一个实施例
请参阅图 1 , 其示出了本申请提供的一种自助设备视频监控处理方法的一 种流程图， 可以包括以下步骤：
步骤 S11 : 检测自助服务区是否有人。
在本实施例中， 自助服务区为用户使用自助设备时， 自助设备监控视频系 统能够监控到的区域范围。通过检测自助服务区是否有人， 来控制自助设备监 控视频***工作。
其中， 自助设备监控视频***包括自助设备机体监控视频子***、客户人 脸监控视频子***和出妙口监控视频子***。
自助设备机体监控视频子***、客户人脸监控视频子***和出妙口监控视 频子***的工作模式可以为： 关闭模式、低频率数据帧模式和高频率数据帧模 式。 在同一种情况下， 自助设备机体监控视频子***、 客户人脸监控视频子系 统和出妙口监控视频子***的工作模式可以相同，例如在检测到自助服务区无 人的情况下， 自助设备机体监控视频子***、客户人脸监控视频子***和出妙 口监控视频子***的工作模式为关闭模式或低频率数据帧模式。 当然，在同一 种情况下， 自助设备机体监控视频子***、客户人脸监控视频子***和出妙口 监控视频子***的工作模式也可以不同。
自助设备机体监控视频子***用于监控自助设备机体的特征是否发生变 化， 具体是监控自助设备机体上是否有其他人员在自助设备机体上安装异物， 安装在机体上的异物可能会导致用户进行误操作，使得用户产生经济损失， 如 不法广告， 如安装有盗取用户卡信息和密码信息的盗卡盗密硬件模块。客户人 脸监控视频子***用于监控使用自助设备进行业务操作的用户的用户特征，如 用户的人脸或瞳孔等生物特征。出妙口监控视频子***用于监控自助设备的出 妙门的状态， 如开启或关闭。
本实施例中，可以使用与自助设备监控视频***分离的独立检测装置检测 自助服务区是否有人， 独立的检测装置可以 7 x 24小时不间断检测自助服务区 是否有人， 并且检测结果不需要保存， 直接将检测结果传送给自助设备监控视 频***即可。 步骤 S 12: 在检测到所述自助服务区有人的情况下， 触发自助设备监控视 频***进行监控视频录制， 并存储所述自助设备监控视频***录制的监控视 频。
在检测到自助服务区有人的情况下，独立检测装置可以触发自助设备监控 视频***中的全部子***进行监控视频录制。 当然，在检测到自助服务区有人 时，独立检测装置也可以触发自助设备监控视频***中的部分子***进行视频 监控录制。 具体可以为独立检测装置发送触发信号至自助设备监控视频***， 再由自助设备监控视频***触发自身内部的子***进行监控视频录制。触发后 的自助设备监控视频***的不同子***可以分别在不同的模式下进行视频监 控录制。
在自助设备监控视频***进行监控视频录制后，存储自助设备监控视频系 统录制的监控视频。
步骤 S 13 : 在检测到所述自助服务区无人的情况下， 自助设备监控视频系 统停止监控视频录制。
在检测到自助服务区无人的情况下， 自助设备监控视频***接收停止监控 视频录制的信号， 停止监控视频录制。 也就是说在本实施例中， 当自助服务区 无人时， 自助设备监控视频***处于关闭模式。
在上述方法步骤中， 自助设备监控视频***本身也可以作为检测装置来检 测自助服务区是否有人， 当自助设备监控视频***作为检测装置时，在自助服 务区无人时， 自助设备监控视频***在低频率数据帧模式下工作， 当检测到自 助服务区有人时， 自助设备监控视频***转换为在高频率数据帧模式下进行监 控视频录制。 当检测到自助服务区无人时， 自助设备监控视频***停止在高频 率数据帧模式下进行的监控视频录制。
在上述方法步骤中， 当自助服务区无人时， 自助设备视频监控***不会进 行监控视频录制， 当自助服务区有人时， 才触发自助设备监控视频***进行监 控视频录制， 从而让录制的视频数据尽可能有效， 减少存储空间。
由于无效视频数据的减少导致查询视频记录的工作量也减少 ,从而在采用 循环存储方式存储视频时使录制的视频能够在视频存储设备中存储的时间增 长， 提高了查询到所需视频的概率。 并且由于减少无效视频数据的产生， 减少 了存储空间使得在采用专用的海量存储设备进行存储视频时减少视频***的 开销。 另一个实施例
参见图 2, 其示出了本申请提供的一种自助设备视频监控处理方法的另一 种流程图。图 1所示的实施例从整体对自助设备视频监控处理方法进行整体描 述，而本实施例从自助设备的工作过程对自助设备视频监控***中的子***阐 述自助设备视频监控处理方法的详细过程。
图 2所示的自助设备视频监控处理方法可以包括以下步骤：
步骤 S21 : 检测自助服务区是否有人。
步骤 S21和图 1所示的一种自助设备视频监控处理方法中的步骤 S11相 同， 在此不再贅述。
步骤 S22: 在检测到自助服务区有人的情况下， 触发自助设备监控视频系 统中的自助设备机体监控视频子***和客户人脸监控视频子***在低频率数 据帧模式下进行监控视频录制。
当检测到自助服务区有人时，触发自助设备监控视频***中的自助设备机 体监控视频子***和客户人脸监控视频子***在低频率数据帧模式下进行监 控视频录制，即自助设备机体监控视频子***和客户人脸监控视频子***由关 闭模式转换为在低频率数据帧模式下进行监控视频录制。
其中，在低频率数据帧模式下录制的监控视频的图像采集频率低， 录制的 监控视频数据量小且占用的存储空间小。 当自助服务区有人，但不确定服务区 的人是否要使用自助设备进行业务操作时，对录制的视频的画面的分辨率要求 不高，所以自助设备机体监控视频子***和客户人脸监控视频子***在低频率 数据帧模式下进行监控视频录制即可。
步骤 S23： 判断人和自助设备的距离是否在预设的距离范围内。
在检测到自助服务区有人，并且自助设备监控视频***中的自助设备机体 监控视频子***和客户人脸监控视频子***在低频率数据帧模式下进行监控 视频录制之后即执行步骤 S22之后，判断自助服务区内的人和自助设备的距离 是否在预设的距离范围内， 如果是， 执行步骤 S24, 否则执行步骤 S25。
步骤 S24: 触发所述自助设备机体监控视频子***在高频率数据帧模式下 进行监控视频录制。 如果自助服务区内的人和自助设备的距离在预设的距离范围内，触发自助 设备机体监控视频子***在高频率数据帧模式下进行监控视频录制，即自助设 备机体监控视频子***在低频率数据帧模式下进行监控视频录制转换为在高 频率数据帧模式下进行监控视频录制。
其中， 预设的距离范围可以设置为 1.5米至 2米。
在检测到自助服务区的人和自助设备的距离在预设的距离范围内，即自助 服务区的人接近自助设备时， 需要对自助设备机体进行重点监控， 即自助设备 机体监控视频子***在高频率数据帧模式下对自助设备机体进行监控视频录 制， 监控自助设备机体上是否存在异物。
其中，在高频率数据帧模式下录制的监控视频的图像采集频率高， 录制的 视频数据量大且占用的存储空间大，但是录制的监控视频的画面清晰， 分辨率 高。在高频率数据帧模式下录制的监控视频属于高清视频，通过自助设备机体 监控视频子***在高频率数据帧模式下进行监控视频录制获得的高清视频可 以清楚的识别自助设备机体上是否有异物。
步骤 S25: 自助设备机体监控视频子***保持在低频率数据帧模式下进行 监控视频录制。
如果执行步骤 S23后，判断的结果为自助服务区的人和自助设备的距离在 预设的距离范围外， 自助设备机体监控视频子***仍然在低频率数据帧模式下 进行监控视频录制。 因为自助服务区的人没有在预设的距离范围内， 不会对自 助设备机体构成威胁，所以自助设备机体监控视频子***不需要转换为在高频 率数据帧模式下进行监控视频录制 ,保持在低频率数据帧模式下进行监控视频 录制即可。
步骤 S26: 检测自助设备业务***是否开始处理业务操作。
本实施例中， 自助设备业务***和客户人脸监控视频子***进行通信，执 行步骤 S24后，检测自助设备业务***是否开始处理业务操作， 即检测使用自 助设备的用户是否***银行卡或是是否使用自助设备的用户选择办理无卡无 折业务办理。 如果是， 执行步骤 S27, 否则， 执行步骤 S28。
步骤 S27: 在检测到自助设备业务***开始处理业务操作的情况下， 所述 客户人脸监控视频子***在低频率数据帧模式下进行监控视频录制转换为在 高频率数据帧模式下进行监控视频录制。 在检测到自助设备业务***开始处理业务操作的情况下， 自助设备业务系 统会发送信息给客户人脸监控视频子***要求客户人脸监控视频子***在高 频率数据帧模式下进行监控视频录制。客户人脸监控视频子***在接收到自助 设备业务***发送的消息后将会在低频率数据帧模式下进行监控视频录制转 换为在高频率数据帧模式下进行监控视频录制。
步骤 S28: 在检测到自助设备没有开始处理业务操作的情况下， 所述客户 人脸监控视频子***保持在低频率数据帧模式下进行监控视频录制。
在自助设备业务***没有开始处理业务操作时，即用户没有***银行卡或 选择办理无卡无折业务办理时， 用户没有进行业务办理， 不会造成财产损失， 所以客户人脸监控视频子***不需要在高频率数据帧模式下进行监控视频录 制， 保持在低频率数据帧模式下进行监控视频录制即可。
步骤 S29: 检测自助设备机体的出妙门是否将要开启。
执行步骤 S27后，在自助设备业务***开始进行业务操作之后，检测自助 设备机体的出妙门是否将要开启即检测自助设备业务***处理业务流程是否 进行到出妙动作或者准备存款动作。
步骤 S210: 在检测到所述出妙门将要开启的情况下， 触发自助设备监控 视频***中的自助设备的出妙口监控视频子***在高频率数据帧模式下进行 监控视频录制。
在检测到所述出妙门将要开启时即在检测自助设备业务***处理业务流 程进行到出妙动作或者准备存款动作时， 自助设备业务***发送消息给出妙口 监控视频子***要求出妙口监控视频子***在高频率数据帧模式下进行视频 监控录制， 以实现对出妙口的重点监控。
步骤 S211 : 在检测到所述出妙门没有将要开启的情况下， 所述自助设备 的出妙口监控视频子***停止监控视频录制或所述自助设备机体的出妙口监 控视频子***在低频率数据帧模式下进行监控视频录制。
在检测到所述出妙门没有将要开启时即在检测自助设备业务***处理业 务流程没有进行到出妙动作或者准备存款动作时， 自助设备业务***不会发送 消息给出妙口监控视频子***要求出妙口监控视频子***在高频率数据帧模 式下进行视频监控录制，出妙口监控视频子***只需要在低频率数据帧模式下 进行视频监控录制或关闭即停止监控视频录制。 对上述方法步骤中录制的监控视频进行存储，并且自助设备监控视频*** 也可以对存储的监控视频进行标记， 并存储标记信息，存储的标记信息用来检 索与该标记信息相对应的存储的监控视频。其中， 标记信息可以为使用自助设 备的用户进行业务操作时， 自助设备业务***记录的业务信息， 如： 用户的卡 号信息或是自助设备业务***处理业务的业务流水号。利用自助设备业务*** 记录的业务信息标记存储的监控视频即完成了自助设备业务***记录的业务 信息与存储的监控视频的绑定，通过自助设备业务***记录的业务信息即可快 速的检索到与该业务信息相对应的监控视频。 再一个实施例
参见图 3 , 其示出了本申请提供的一种自助设备视频监控处理方法的再一 种流程图。图 2所示的实施例从自助设备的工作过程对自助设备视频监控*** 中的子***阐述自助设备视频监控处理方法的详细过程。而本实施例除了对自 助设备视频监控***中的子***阐述自助设备视频监控处理方法的详细过程， 还从自助设备的工作过程对自助设备保险箱监控视频***阐述自助设备视频 监控处理方法的详细过程。
图 3所示的自助设备视频监控处理方法可以包括以下步骤：
步骤 S31 : 检测自助服务区是否有人。
步骤 S32: 在检测到自助服务区有人的情况下， 触发自助设备监控视频系 统中的自助设备机体监控视频子***和客户人脸监控视频子***在低频率数 据帧模式下进行监控视频录制。
步骤 S33 : 判断人和自助设备的距离是否在预设的距离范围内。
步骤 S34: 如果是， 触发所述自助设备机体监控视频子***在高频率数据 帧模式下进行监控视频录制。
步骤 S35: 自助设备机体监控视频子***保持在低频率数据帧模式下进行 监控视频录制。
步骤 S36: 检测自助设备业务***是否开始处理业务操作。
步骤 S37: 在检测到自助设备业务***开始处理业务操作的情况下， 所述 客户人脸监控视频子***在低频率数据帧模式下进行监控视频录制转换为在 高频率数据帧模式下进行监控视频录制。 步骤 S38: 在检测到自助设备没有开始处理业务操作的情况下， 所述客户 人脸监控视频子***保持在低频率数据帧模式下进行监控视频录制。
步骤 S39: 检测自助设备机体的出妙门是否将要开启。
步骤 S310: 在检测到所述出妙门将要开启的情况下， 触发自助设备监控 视频***中的自助设备的出妙口监控视频子***在高频率数据帧模式下进行 监控视频录制。
步骤 S311 : 在检测到所述出妙门没有将要开启的情况下， 所述自助设备 的出妙口监控视频子***停止监控视频录制或所述自助设备机体的出妙口监 控视频子***在低频率数据帧模式下进行监控视频录制。
步骤 S31至步骤 S311和图 2所示的一种自助设备视频监控处理方法中的 步骤 S21至步骤 S211相同， 在此不再贅述。
步骤 S312: 检测自助设备的保险箱的状态是否发生变化。
检测自助设备的保险箱的状态是否发生变化主要是检测自助设备维护人 员是否要进行现金维护或保险箱是否遭受外界人员的暴力攻击。
步骤 S313 : 在检测到所述自助设备的保险箱状态发生变化的情况下， 触 发所述自助设备保险箱监控视频***在高频率数据帧模式下进行监控视频录 制。
当自助设备转换为维护模式，即自助设备维护人员将要进行现金维护时意 味着自助设备的保险箱的状态将要发生变化，此时需要触发自助设备的保险箱 监控视频在高频率数据帧模式下进行监控视频录制。或当自助设备的保险箱遭 受外界人员的暴力攻击时， 即自助设备的保险箱的状态发生变化， 也需要触发 自助设备的保险箱监控视频在高频率数据帧模式下进行监控视频录制 ,以实现 对自助设备的保险箱的重点监控。
步骤 S314: 在检测到所述自助设备的保险箱的状态没有发生变化的情况 下， 所述自助设备的保险箱监控视频停止监控视频录制。
在检测到自助设备的保险箱的状态没有发生变化时， 自助设备的保险箱监 控视频停止监控视频录制， 切换到初始的工作模式， 如： 关闭模式或低频率数 据帧模式。
对上述方法步骤中录制的监控视频进行存储，并对存储的监控视频进行标 记， 并存储标记信息，存储的标记信息用来检索与该标记信息相对应的存储的 监控视频。 其中， 标记信息可以为使用自助设备的用户进行业务操作时， 自助 设备业务***记录的业务信息，如： 用户的***信息或是自助设备业务***处 理业务的业务流水号。利用自助设备业务***记录的业务信息标记存储的监控 视频即完成了自助设备业务***记录的业务信息与存储的监控视频的绑定，通 过自助设备业务***记录的业务信息即可快速的检索到与该业务信息相对应 的监控视频。
本实例中不仅使录制的视频数据尽可能有效， 减少存储空间自助设备， 而 且监控视频***和自助设备业务***进行通信， 在客户进行业务操作时，触发 相应类型的监控视频设备进行监控视频录制，并存储自助设备监控视频设备录 制的视频的标记信息， 通过存储的标记信息使查询相应监控视频记录更加容 易， 提高视频检索的效率的同时减少了查询监控视频的工作量。
与图 1所示的一种自助设备视频监控处理方法的实施例相对应，本申请还 提供了的一种自助设备视频监控处理装置的一种结构图， 请参阅图 4, 自助设 备视频监控处理装置包括： 第一检测单元 401、 第一触发单元 402、 第一存储 单元 403、 第二触发单元 404。
其中， 第一检测单元 401 , 用于检测自助服务区是否有人。
在本实施例中， 自助服务区为用户使用自助设备时， 自助设备监控视频系 统能够监控到的区域范围。通过检测自助服务区是否有人， 来控制自助设备监 控视频***工作。
本实施例中， 第一检测单元 401可以是一个独立检测装置， 用于检测自助 服务区是否有人。
第一触发单元 402, 用于在第一检测单元 401检测到所述自助服务区有人 的情况下， 触发自助设备监控视频***进行监控视频录制。
在检测到自助服务区有人的情况下，第一触发单元 402可以触发自助设备 监控视频***中的全部子***进行监控视频录制。 当然，在检测到自助服务区 有人时， 也可以触发自助设备监控视频***中的部分子***进行视频监控录 制。具体可以为第一触发单元 402发送触发信号至自助设备监控视频***，再 由自助设备监控视频***触发自身内部的子***进行监控视频录制。触发后的 自助设备监控视频***的不同子***可以分别在不同的模式下进行视频监控 录制。 在本实施例中， 第一触发单元 402可以为独立检测装置。
第一存储单元 403 , 用于存储第一触发单元 402触发的自助设备监控视频 ***录制的监控视频。
在第一触发单元 402触发的自助设备监控视频***进行监控视频录制后， 存储自助设备监控视频***录制的监控视频。本实施例， 自助设备监控视频系 统也可以对存储的监控视频进行标记， 并存储标记信息，存储的标记信息用来 检索与该标记信息相对应的存储的监控视频。
第二触发单元 403 , 用于在第一检测单元 401检测到所述自助服务区无人 的情况下， 触发自助设备监控视频***停止监控视频录制。
在第一检测单元 401检测到自助服务区无人的情况下， 自助设备监控视频 ***接收第二触发单元 403发送的停止监控视频录制的触发信号，停止监控视 频录制。 也就是说在本实施例中， 当自助服务区无人时， 自助设备监控视频系 统处于关闭模式。 另一个实施例
在本实施例中，在图 4所示的一种自助设备视频监控处理装置的基础上扩 展出另一种自助设备视频监控处理装置， 具体构成请参阅图 5。 其中， 第一触 发单元 402具体用于： 在检测单元检测到所述自助服务区有人的情况下，触发 自助设备监控视频***中的自助设备机体监控视频子***和客户人脸监控视 频子***在低频率数据帧模式下进行监控视频录制。图 5为本申请提供的一种 自助设备视频监控处理装置的另一种结构图，在图 4所示的一种自助设备视频 监控处理装置的基础上还包括：
第二存储单元 501、判断单元 502、第三触发单元 503、第二检测单元 504、 第四触发单元 505、第三检测单元 506、第五触发单元 507和第六触发单元 508。
其中第二存储单元 501 , 用于存储所述自助设备监控视频***录制的视频 的标记信息， 其中所述标记信息为使用自助设备的用户进行业务操作时， 自助 设备业务***记录的业务信息。
自助设备监控视频***可以对存储的监控视频进行标记， 并存储标记信 息， 存储的标记信息用来检索与该标记信息相对应的存储的监控视频。 其中， 标记信息可以为使用自助设备的用户进行业务操作时， 自助设备业务***记录 的业务信息，如： 用户的***信息或是自助设备业务***处理业务的业务流水 号。利用自助设备业务***记录的业务信息标记存储的监控视频即完成了自助 设备业务***记录的业务信息与存储的监控视频的绑定，通过自助设备业务系 统记录的业务信息即可快速的检索到与该业务信息相对应的监控视频。
判断单元 502, 用于判断人和自助设备的距离是否在预设的距离范围内。 在第一检测单元 401检测到自助服务区有人，并且第一触发单元触发自助 设备监控视频***中的自助设备机体监控视频子***和客户人脸监控视频子 ***在低频率数据帧模式下进行监控视频录制之后，判断自助服务区内的人和 自助设备的距离是否在预设的距离范围内， 如果是， 触发第三触发单元 503 , 否则不触发任何单元。
第三触发单元 503 , 用于在判断单元 502的判断结果为人和自助设备的距 离在预设的距离范围内时，触发所述自助设备机体监控视频子***在高频率数 据帧模式下进行监控视频录制。
如果判断单元 502 的判断结果为自助服务区内的人和自助设备的距离在 预设的距离范围内，触发自助设备机体监控视频子***在高频率数据帧模式下 进行监控视频录制。
第二检测单元 504, 用于检测自助设备业务***是否开始处理业务操作。 在第三触发单元 503 触发所述自助设备集体监控视频子***在高频率数 据帧模式下进行监控视频录制后，检测自助设备业务***是否开始处理业务操 作， 即检测自助设备的用户是否***银行卡或是否选择办理无卡无折业务办 理。
第四触发单元 505 , 用于在第二检测单元 504的检测结果为自助设备业务 ***开始处理业务操作的情况下，触发所述客户人脸监控视频子***在低频率 数据帧模式下进行监控视频录制转换为在高频率数据帧模式下进行监控视频 录制。
在第二检测单元 504检测到自助设备业务***开始处理业务操作时， 自助 设备业务***会发送信息给客户人脸监控视频子***要求客户人脸监控视频 子***在高频率数据帧模式下进行监控视频录制。客户人脸监控视频子***在 接收到自助设备业务***发送的消息后触发客户人脸监控视频子***在低频 率数据帧模式下进行监控视频录制转换为在高频率数据帧模式下进行监控视 频录制。
第三检测单元 506, 用于检测自助设备机体的出妙门是否将要开启。 在第四触发单元 505 触发客户人脸监控视频子***在低频率数据帧模式 下进行监控视频录制转换为在高频率数据帧模式下进行监控视频录制后 ,检测 自助设备机体的出妙门是否将要开启即检测自助设备业务***处理业务流程 是否进行到出妙动作或者准备存款动作。
第五触发单元 507, 用于在第三检测单元 506的检测结果为所述出妙门将 要开启的情况下，触发自助设备监控视频***中的自助设备出妙口监控视频子 ***在高频率数据帧模式下进行监控视频录制。
在第三检测单元 506检测到出妙门将要开启时， 自助设备业务***发送消 息给第五触发单元 507, 触发出妙口监控视频子***在高频率数据帧模式下进 行视频监控录制， 以实现对出妙口的重点监控。
第六触发单元 508, 用于在第三检测单元 506的检测结果为所述出妙门没 有将要开启的情况下，触发所述自助设备出妙口监控视频子***停止监控视频 统在低频率数据帧模式下进行监控视频录制。
在第三检测单元 506检测到所述出妙门没有将要开启时即在检测自助设 备业务***处理业务流程没有进行到出妙动作或者准备存款动作时， 自助设备 业务***不会发送消息给出妙口监控视频子***要求出妙口监控视频子*** 在高频率数据帧模式下进行视频监控录制，出妙口监控视频子***只需要在低 频率数据帧模式下进行视频监控录制或关闭即停止监控视频录制。 再一个实施例
在本实施例中，在图 5所示的一种自助设备视频监控处理装置的基础上扩 展出另一种自助设备视频监控处理装置， 具体构成请参阅图 6。 图 6为本申请 提供的一种自助设备视频监控处理装置的另一种结构图，在图 5所示的一种自 助设备视频监控处理装置的基石出上还包括：
第四检测单元 601、 第七触发单元 602和第八触发单元 603。
其中， 第四检测单元 601 , 用于检测自助设备的保险箱的状态是否发生变 化。 检测自助设备的保险箱的状态是否发生变化主要是检测自助设备维护人 员是否要进行现金维护或保险箱是否遭受外界人员的暴力攻击。
第七触发单元 602, 用于在第四检测单元 601检测到所述自助设备的保险 箱的状态发生变化的情况下 ,触发所述自助设备保险箱监控视频***在高频率 数据帧模式下进行监控视频录制。
当自助设备转换为维护模式，即自助设备维护人员将要进行现金维护时意 味着自助设备的保险箱的状态将要发生变化，此时需要触发自助设备的保险箱 监控视频在高频率数据帧模式下进行监控视频录制。或当自助设备的保险箱遭 受外界人员的暴力攻击时， 即自助设备的保险箱的状态发生变化， 也需要触发 自助设备的保险箱监控视频在高频率数据帧模式下进行监控视频录制 ,以实现 对自助设备的保险箱的重点监控。
第八触发单元 603 , 用于在第四检测单元检测到所述自助设备的保险箱的 状态没有发生变化的情况下，触发所述自助设备保险箱监控视频***停止监控 视频录制。
在第四检测单元 601检测到自助设备的保险箱的状态没有发生变化时， 自 助设备的保险箱监控视频停止监控视频录制， 切换到初始的工作模式， 如： 关 闭模式或低频率数据帧模式。
需要说明的是， 本说明书中的各个实施例均采用递进的方式描述，每个实 施例重点说明的都是与其他实施例的不同之处，各个实施例之间相同相似的部 分互相参见即可。 对于装置类实施例而言， 由于其与方法实施例基本相似， 所 以描述的比较简单， 相关之处参见方法实施例的部分说明即可。
最后， 还需要说明的是， 在本文中， 诸如第一和第二等之类的关系术语仅 仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者 暗示这些实体或操作之间存在任何这种实际的关系或者顺序。 而且， 术语"包 括"、 "包含"或者其任何其他变体意在涵盖非排他性的包含， 从而使得包括一 系列要素的过程、 方法、 物品或者设备不仅包括那些要素， 而且还包括没有明 确列出的其他要素， 或者是还包括为这种过程、 方法、 物品或者设备所固有的 要素。 在没有更多限制的情况下， 由语句 "包括一个 ......，，限定的要素， 并不排 除在包括所述要素的过程、 方法、 物品或者设备中还存在另外的相同要素。
以上对本申请所提供的一种自助设备视频监控处理方法及装置进行了详 细介绍， 本文中应用了具体个例对本申请的原理及实施方式进行了阐述， 以上 实施例的说明只是用于帮助理解本申请的方法及其核心思想； 同时，对于本领 域的一般技术人员，依据本申请的思想，在具体实施方式及应用范围上均会有 改变之处， 综上所述， 本说明书内容不应理解为对本申请的限制。

Claims

权 利 要 求
1、 一种自助设备视频监控处理方法， 其特征在于， 包括：
检测自助服务区是否有人；
在检测到所述自助服务区有人的情况下，触发自助设备监控视频***进行 监控视频录制， 并存储所述自助设备监控视频***录制的监控视频；
在检测到所述自助服务区无人的情况下， 自助设备监控视频***停止监控 视频录制。
2、 根据权利要求 1所述的方法， 其特征在于， 还包括：
存储所述自助设备监控视频***录制的视频的标记信息，其中所述标记信 息为使用自助设备的用户进行业务操作时， 自助设备业务***记录的业务信 息， 所述业务信息用于快速检索与该业务信息相对应的监控视频。
3、 根据权利要求 2所述的方法， 其特征在于， 包括：
在检测到所述自助服务区有人的情况下，触发自助设备监控视频***中的 自助设备机体监控视频子***和客户人脸监控视频子***在低频率数据帧模 式下进行监控视频录制。
4、 根据权利要求 3所述的方法， 其特征在于， 还包括：
判断人和自助设备的距离是否在预设的距离范围内；
如果是，触发所述自助设备机体监控视频子***在高频率数据帧模式下进 行监控视频录制； 否则， 所述自助设备机体监控视频子***保持在低频率数据 帧模式下进行监控视频录制；
和 /或所述方法还包括：
在检测到自助设备业务***开始处理业务操作的情况下，所述客户人脸监 控视频子***在低频率数据帧模式下进行监控视频录制转换为在高频率数据 帧模式下进行监控视频录制；在检测到自助设备没有开始处理业务操作的情况 下，所述客户人脸监控视频子***保持在低频率数据帧模式下进行监控视频录 制；
和 /或所述方法还包括：
在检测到所述出妙门将要开启的情况下 ,触发自助设备监控视频***中的 自助设备出妙口监控视频子***在高频率数据帧模式下进行监控视频录制；在 检测到所述出妙门没有将要开启的情况下 ,所述自助设备出妙口监控视频子系 统停止监控视频录制或所述自助设备机体出妙口监控视频子***在低频率数 据帧模式下进行监控视频录制。
5、 根据权利要求 1-4任意一项所述的方法， 其特征在于， 还包括： 检测自助设备的保险箱的状态是否发生变化；
在检测到所述自助设备的保险箱的状态发生变化的情况下，触发所述自助 设备保险箱监控视频***在高频率数据帧模式下进行监控视频录制；
在检测到所述自助设备的保险箱的状态没有发生变化的情况下，所述自助 设备保险箱监控视频***停止监控视频录制。
6、 一种自助设备视频监控处理装置， 其特征在于， 包括：
第一检测单元， 用于检测自助服务区是否有人；
第一触发单元， 用于在检测单元检测到所述自助服务区有人的情况下，触 发自助设备监控视频***进行监控视频录制；
第一存储单元，用于存储第一触发单元触发的自助设备监控视频***录制 的监控视频；
第二触发单元， 用于在检测单元检测到所述自助服务区无人的情况下，触 发自助设备监控视频***停止监控视频录制。
7、 根据权利要求 6所述的装置， 其特征在于， 还包括：
第二存储单元，用于存储所述自助设备监控视频***录制的视频的标记信 息， 其中所述标记信息为使用自助设备的用户进行业务操作时， 自助设备业务 ***记录的业务信息，所述业务信息用于快速检索与该业务信息相对应的监控 视频。
8、 根据权利要求 7所述的装置， 其特征在于， 所述第一触发单元具体用 于： 在所述检测单元检测到所述自助服务区有人的情况下，触发自助设备监控 视频***中的自助设备机体监控视频子***和客户人脸监控视频子***在低 频率数据帧模式下进行监控视频录制。
9、 根据权利要求 8所述的装置， 其特征在于， 还包括：
判断单元， 用于判断人和自助设备的距离是否在预设的距离范围内； 第三触发单元，用于在所述判断单元的判断结果为人和自助设备的距离在 预设的距离范围内时，触发所述自助设备机体监控视频子***在高频率数据帧 模式下进行监控视频录制； 和 /或所述装置还包括：
第二检测单元， 用于检测自助设备业务***是否开始处理业务操作； 第四触发单元，用于在所述第二检测单元的检测结果为自助设备业务*** 开始处理业务操作的情况下，触发所述客户人脸监控视频子***在低频率数据 帧模式下进行监控视频录制转换为在高频率数据帧模式下进行监控视频录制； 和 /或所述装置还包括：
第三检测单元， 用于检测自助设备机体的出妙门是否将要开启； 第五触发单元，用于在所述第三检测单元的检测结果为所述出妙门将要开 启的情况下，触发自助设备监控视频***中的自助设备出妙口监控视频子*** 在高频率数据帧模式下进行监控视频录制；
第六触发单元 ,用于在所述第三检测单元的检测结果为所述出妙门没有将 要开启的情况下，触发所述自助设备出妙口监控视频子***停止监控视频录制 统在低频率数据帧模式下进行监控视频录制。
10、 根据权利要求 6-9任意一项所述的装置， 其特征在于， 还包括： 第四检测单元， 用于检测自助设备的保险箱的状态是否发生变化； 第七触发单元，用于在所述第四检测单元检测到所述自助设备的保险箱的 状态发生变化的情况下 ,触发所述自助设备保险箱监控视频***在高频率数据 帧模式下进行监控视频录制；
第八触发单元，用于在所述第四检测单元检测到所述自助设备的保险箱的 状态没有发生变化的情况下，触发所述自助设备保险箱监控视频***停止监控 视频录制。
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