WO2018107919A1 - 安全检查系统和方法 - Google Patents

安全检查系统和方法 Download PDF

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Publication number
WO2018107919A1
WO2018107919A1 PCT/CN2017/109469 CN2017109469W WO2018107919A1 WO 2018107919 A1 WO2018107919 A1 WO 2018107919A1 CN 2017109469 W CN2017109469 W CN 2017109469W WO 2018107919 A1 WO2018107919 A1 WO 2018107919A1
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WIPO (PCT)
Prior art keywords
item
image
interest
baggage
security inspection
Prior art date
Application number
PCT/CN2017/109469
Other languages
English (en)
French (fr)
Inventor
陈志强
张丽
彭刚
戴智晟
孙运达
李栋
Original Assignee
同方威视技术股份有限公司
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 同方威视技术股份有限公司 filed Critical 同方威视技术股份有限公司
Priority to CA2986414A priority Critical patent/CA2986414C/en
Priority to CUP2017000149A priority patent/CU20170149A7/es
Priority to RU2017141635A priority patent/RU2017141635A/ru
Priority to KR1020177034777A priority patent/KR20180082956A/ko
Priority to MX2017015263A priority patent/MX2017015263A/es
Priority to AU2017261639A priority patent/AU2017261639A1/en
Priority to JP2017562286A priority patent/JP6728242B2/ja
Priority to EP17797224.7A priority patent/EP3557289B1/en
Priority to US15/822,920 priority patent/US10810437B2/en
Publication of WO2018107919A1 publication Critical patent/WO2018107919A1/zh

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V5/00—Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity
    • G01V5/20—Detecting prohibited goods, e.g. weapons, explosives, hazardous substances, contraband or smuggled objects
    • G01V5/22—Active interrogation, i.e. by irradiating objects or goods using external radiation sources, e.g. using gamma rays or cosmic rays
    • G01V5/232—Active interrogation, i.e. by irradiating objects or goods using external radiation sources, e.g. using gamma rays or cosmic rays having relative motion between the source, detector and object other than by conveyor
    • 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
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
    • G01N23/02—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
    • G01N23/04—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/01—Arrangements or apparatus for facilitating the optical investigation
    • G01N2021/0106—General arrangement of respective parts
    • G01N2021/0118—Apparatus with remote processing
    • G01N2021/0143—Apparatus with remote processing with internal and external computer
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G06T2207/30112—Baggage; Luggage; Suitcase
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30204—Marker
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30232—Surveillance
    • 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
    • G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
    • G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources

Definitions

  • the invention relates to the field of article safety inspection. More specifically, the present invention relates to a security inspection system and method for identifying items of interest from a plurality of items.
  • airport arrivals eg, baggage, cargo, etc.
  • different types of labels are attached to the items according to the inspection results, so as to identify the labels of each item in the customs detection area.
  • the label may fall or be intentionally or unintentionally torn off as it circulates.
  • the tag may be torn off in order to prevent the unsafe items from being carried out. In this way, in the absence of a label, unsafe items may be missed in the customs clearance detection area, posing a potential hazard to public safety.
  • An aspect of the present invention provides a security inspection system for identifying an item of interest from a plurality of items, including: an item of interest determining means for determining whether an item belongs to an item of interest; and an image marking device And for detecting an image associated with the item and recording an image mark of the item for a selected one of the plurality of items; and marking detection means for detecting the image mark, wherein the security check system detects the mark according to the mark detecting means The result is to identify if the item belongs to the item of interest and to make a reminder accordingly.
  • the selected item refers to all items or items judged to belong to the item of interest
  • the security check system identifies whether the item belongs to the item of interest based on the detected image mark, wherein if the item is identified according to the image mark When the item belongs to the item of interest, a reminder is made.
  • the image indicia is an image feature possessed by the article and/or an image feature possessed by the person carrying the article.
  • the image mark imparting device is configured to acquire an image related to the article before the article is extracted by the person and/or when the article is extracted by the person.
  • the image mark imparting device is configured to acquire an image of the article and/or acquire an image of a person who extracts the article.
  • the selected one of the plurality of items refers to an item judged not to belong to the item of interest
  • the mark detecting means recognizes that the item belongs to the item of interest and does not detect the recorded image mark Reminder.
  • Another aspect of the present invention provides a security inspection method for identifying an item of interest from a plurality of items, including: determining whether the item belongs to an item of interest; and obtaining for and selecting a selected item of the plurality of items An image related to the item and recording an image mark of the item; and detecting the image mark, and identifying whether the item belongs to the item of interest based on the detection result and making a reminder accordingly.
  • the selected item refers to all items or items judged to belong to the item of interest, and identifies whether the item belongs to the item of interest based on the detected image mark, wherein if the item is identified according to the image mark Remind the item of interest.
  • the image mark is an image feature and/or a carry possessed by the article The image characteristics of the person who has the product.
  • an image associated with the item is acquired before the item is extracted by the person and/or when the item is extracted by the person.
  • acquiring an image related to the item comprises acquiring an image of the item and/or obtaining an image of the person extracting the item.
  • the selected one of the plurality of items refers to an item judged not to belong to the item of interest, and when the recorded image mark is not detected, the item is identified as belonging to the item of interest and a reminder is made.
  • FIG. 1 is a schematic diagram of a security inspection system in accordance with an embodiment of the present invention.
  • FIG. 2 is a flow chart of a security check method in accordance with an embodiment of the present invention.
  • FIG. 3 is a flow chart of a security check method in accordance with an embodiment of the present invention.
  • FIG. 4 is a flow chart of a security check method in accordance with an embodiment of the present invention.
  • the security inspection system 10 includes an article of interest determination device 110, an image tag giving device 120, and a tag detecting device 130.
  • the item of interest determining means 110 is for determining whether the item belongs to the item of interest.
  • the item of interest may include a suspicious item, such as a suspicious bag.
  • the item of interest determining device 110 may perform a security check on the airport arrival bag to determine whether the bag is suspicious.
  • the item of interest determining device 110 may scan the item to obtain an item scan image, perform a recognition analysis on the item scan image, and determine whether the bag is a suspected target bag based on the analysis result.
  • the item of interest determining device 110 may enter the baggage during the transfer of the baggage on the conveyor belt. Line scan.
  • the item of interest determining device 110 may include an X-ray scanning unit to scan each baggage to obtain a scanned image. In some embodiments, the item of interest determining device 110 may manually or automatically analyze the scanned image locally or remotely to determine if the bag is suspicious. In some embodiments, the item of interest determining device 110 may recognize or read information related to the baggage from outside, such as information of the passenger to which the bag belongs.
  • the image mark giving device 120 is configured to acquire an image related to the article and record an image mark of the article for the selected one of the plurality of articles.
  • the image tag giving device 120 can be in wired or wireless communication with the item of interest determining device 110.
  • the image tag giving device 120 may receive information related to the item from the item of interest determining device 110, such as information of the passenger to which the bag belongs, security image information, whether it is a suspicious baggage, or the like.
  • the image tag giving device 120 may include an image acquiring unit 121, an image feature extracting unit 122, and an image tag recording unit 123.
  • the image acquisition unit 121 can be configured to acquire an image related to the luggage for the selected one of the plurality of pieces of luggage. In some embodiments, image acquisition unit 121 can be controlled to acquire images for all of the luggage. In some embodiments, image acquisition unit 121 can be controlled to acquire images for suspicious luggage. In some embodiments, image acquisition unit 121 may be controlled to acquire images for non-suspicious luggage.
  • the image acquisition unit 121 may acquire an image of a baggage and/or an image of a person carrying the baggage.
  • the image acquisition unit 121 may be arranged to acquire an image related to the baggage before the bag is picked up by a person.
  • the image acquisition unit 121 may be arranged to acquire an image of the luggage before the baggage is judged at the item of interest determination device 110 to be a suspicious bag.
  • the image acquisition unit 121 may be arranged to acquire an image of the baggage for all the baggage, the suspicious baggage or the non-suspicious baggage after the baggage is judged at the item of interest determining device 110 whether it is a suspicious bag.
  • the image acquisition unit 121 may be arranged to acquire an image related to the baggage when the bag is picked up by a person. In some embodiments, the image acquisition unit 121 may be arranged to acquire, for all baggage, suspicious baggage or non-suspicious baggage, after the baggage is judged at the item of interest determining device 110 whether it is a suspicious bag and when the bag is picked up by a person. An image of the baggage and/or an image of the person who extracted the baggage.
  • the image acquisition unit 121 may acquire a visible light image, an infrared image, and/or a depth image or the like related to the luggage.
  • the image acquisition unit 121 may include a visible light imaging unit, an infrared imaging unit, and/or a depth image sensing unit, and the like.
  • the image feature extraction unit 122 may be configured to extract image features of the baggage and/or image features of the person carrying the baggage from the image acquired by the image acquisition unit 121. In some embodiments, image feature extraction unit 122 may be controlled to extract image features for all of the luggage. In some embodiments, image feature extraction unit 122 may be controlled to extract image features for suspicious baggage. In some embodiments, image feature extraction unit 122 may be controlled to extract image features for non-suspicious luggage.
  • the image acquisition unit 121 may extract image features of a baggage and/or a person by various image recognition techniques.
  • the image characteristics of the luggage may include, but are not limited to, the shape of the luggage, the size of the luggage, the color of the luggage, the texture of the luggage, the material of the luggage, and the like.
  • the image characteristics of the person may include, but are not limited to, a person's facial features, a person's body type, a person's dress, a person's hair style, a person's height, and the like.
  • the image mark recording unit 123 can be used to record an image mark of the luggage based on the image feature extracted by the image feature extraction unit 122.
  • the image mark recording unit 123 may select one or more image features from the image features extracted by the image feature extraction unit 122 as image tags of the luggage.
  • the mark detecting means 130 is for detecting an image mark.
  • the marker detecting device 130 can be in wired or wireless communication with the item of interest determining device 110 and/or the image tag assigning device 120.
  • the tag detecting means 130 may receive information related to the item from the item of interest determining means 110, such as information of the passenger to which the bag belongs, security image information, whether it is a suspicious baggage or the like.
  • the indicia detection device 130 may receive information related to the baggage image from the image indicia giving device 120, such as image features of the baggage, image characteristics of the person carrying the baggage, image indicia of the baggage, and the like.
  • the marker detecting device 130 may include an image acquisition unit 131, an image marker recognition unit 132, and an image marker comparison unit 133.
  • the image acquisition unit 131 can be used to acquire an image related to the bag. According to the invention, the image acquisition unit 131 can acquire an image of the luggage and/or an image of the person carrying the luggage. In some embodiments, the image acquisition unit 131 may acquire an image correspondingly according to an image (an image of a baggage, an image of a person carrying a baggage, or both) acquired by the image tag giving device 120 (eg, the image acquisition unit 121).
  • the image acquisition unit 131 may acquire an image of the baggage and/or an image of the person carrying the baggage one or more times, for example at one or more locations. In some embodiments, the image acquisition unit 131 may be arranged to obtain an image of the baggage and/or an image of the person carrying the baggage when the bag is about to leave the exit before the security check area, such as a passenger exit of the airport. In some embodiments, the image acquisition unit 131 may be arranged to acquire an image of the luggage and/or an image of the person carrying the luggage after acquiring the image related to the luggage at the image marking imparting device 120 or after recording the image marking of the luggage.
  • the image acquisition unit 131 may acquire a visible light image, an infrared image, and/or a depth image or the like associated with the luggage.
  • the image acquisition unit 131 may include a visible light imaging unit, an infrared imaging unit, and/or a depth image sensing unit, and the like.
  • the image tag recognition unit 132 can be used to identify an image tag of the baggage from the image acquired by the image acquisition unit 131.
  • the image tag recognition unit 132 may extract an image feature of the baggage and/or an image feature of the person carrying the baggage from the acquired image, and identify an image tag of the baggage based on the extracted image feature.
  • the image tag recognition unit 132 may extract corresponding image features from the images acquired by the image acquisition unit 131 according to the image features extracted by the image feature extraction unit 122.
  • the image acquisition unit 131 may extract image features of a baggage and/or a person by various image recognition techniques.
  • the image tag comparing unit 133 can be used to compare the image tag of the identified baggage with the image tag of the baggage recorded by the image tag assigning device 120 (for example, the image tag recording unit 123) to determine whether the baggage belongs to the suspicious baggage.
  • the security inspection system 10 may also include an information output device 140, in accordance with an embodiment of the present invention.
  • the information output device 140 may be in wired or wireless communication with the item of interest determining device 110, the image tag giving device 120, and/or the tag detecting device 130. In some embodiments, the information is lost
  • the device 140 can receive information related to the item from the item of interest determining device 110, such as information of the passenger to which the bag belongs, security image information, whether it is a suspicious baggage, or the like.
  • the information output device 140 may receive information related to the baggage image from the image tag giving device 120, such as an image of the baggage, an image feature of the baggage, an image of the person carrying the baggage, an image feature of the person carrying the baggage, Image tag of baggage, etc.
  • the information output device 140 may receive information related to the item from the tag detecting device 130, such as an image of the baggage, an image of the person carrying the baggage, an image tag of the baggage, whether it is a suspicious baggage, or the like.
  • the information output device 140 may provide an alert, such as a visual, audible, and tactile alert, when the marker detection device 130 recognizes that the baggage belongs to a suspicious bag. According to the warning, the staff member can carry out the inspection of the suspicious baggage with the cooperation of the passenger.
  • the information output device 140 may display a security image, an image of the luggage, an image of the person carrying the luggage, and the like.
  • the security inspection system according to the present invention is capable of distinguishing suspicious baggage among a plurality of baggage and avoiding the entry of unsafe items, thereby ensuring national and public safety.
  • the security inspection system according to the present invention can distinguish suspicious baggage without using physical tags, prevent missed detection of suspicious baggage, and prevent passengers from detecting in advance.
  • FIG. 2 shows a flow chart of a security check method in accordance with one embodiment of the present invention.
  • the item of interest may include a suspicious item, such as a suspicious bag.
  • the item can be scanned to obtain an item scan image, and the item scan image can be identified and analyzed, and based on the analysis result, it is determined whether the bag is a suspected target bag.
  • the baggage may be scanned during the transfer of the baggage on the conveyor.
  • scanned images may be obtained by scanning individual bags by X-rays.
  • the scanned image may be manually or automatically analyzed locally or remotely to determine if the bag is suspicious.
  • information related to the baggage may be identified or read from the outside, such as information of the passenger to which the bag belongs.
  • step S210 If it is determined in step S210 that the item does not belong to the item of interest, the method proceeds to step Step S240. If it is determined in step S210 that the item belongs to the item of interest, the method proceeds to step S220.
  • an image related to the item is acquired for the item of interest (eg, suspicious baggage).
  • an image of the baggage and/or an image of the person carrying the baggage can be obtained.
  • the image associated with the baggage may be acquired before the bag is picked up by the person.
  • an image of the baggage can be obtained when the baggage is judged to be suspicious.
  • an image associated with the baggage may be acquired while the bag is being picked up by a person.
  • an image of the baggage and/or an image of the person picking up the baggage may be obtained after the baggage is judged to belong to the suspicious baggage and when the baggage is picked up by the person.
  • visible light images, infrared images, and/or depth images and the like associated with the luggage may be acquired.
  • an image mark of an item e.g., baggage
  • image features of the baggage and/or image features of the person carrying the baggage may be extracted from the acquired images.
  • image features of the baggage and/or person may be extracted by various image recognition techniques.
  • the image indicia of the baggage may be recorded based on the extracted image features.
  • one or more image features may be selected from the extracted image features as image tags for the bag.
  • an image mark of an item is detected.
  • the image associated with the baggage may be retrieved again, such as an image of the baggage and/or an image of the person carrying the baggage.
  • an image of the baggage and/or an image of the person carrying the baggage may be acquired one or more times, such as at one or more locations.
  • an image of the baggage and/or an image of the person carrying the baggage may be obtained when the baggage is about to leave the exit in front of the security check area, such as a passenger exit at the airport.
  • the image tag of the baggage may be identified from the image acquired again.
  • the image features of the baggage and/or the image features of the person carrying the baggage may be extracted from the re-acquired image and the image indicia of the baggage may be identified based on the extracted image features.
  • image features of the baggage and/or person may be extracted by various image recognition techniques.
  • step S250 it is determined whether the article belongs to the item of interest (for example, whether the baggage belongs to the suspicious baggage) by the recognized image tag.
  • the identification can be compared
  • the image of the baggage is marked with the image of the recorded baggage to determine if the baggage is suspicious.
  • step S250 If it is determined in step S250 that the item does not belong to the item of interest, the method ends. In this case, for example, the baggage can be safely released. If it is determined in step S250 that the item belongs to the item of interest, the method proceeds to step S260.
  • a special inspection is performed on the item of interest (for example, suspicious baggage).
  • the staff member may perform an unpacking inspection of the suspicious baggage with the cooperation of the passenger.
  • image markings may be recorded only for the item of interest, such as only for suspicious baggage.
  • suspicious baggage can be identified based on the detected image tag to perform a special check on the suspicious baggage, such as an open bag check.
  • the security inspection method described above identifies an item of interest based on the image indicia and performs a special inspection of the item of interest.
  • the security inspection method according to the present invention can also identify non-interesting items based on image marks and perform special inspections on non-interesting items.
  • items of non-interest can represent suspicious baggage. For example, if it is determined in step S250 that the item belongs to the item of interest, the item (such as baggage) can be safely released. If it is determined in step S250 that the item belongs to the item of non-interest, a special inspection is performed on the item of non-interest in step S260.
  • Figure 3 shows a flow chart of a security check method in accordance with one embodiment of the present invention.
  • step S310 it is determined whether the article belongs to the item of interest, for example, whether the baggage belongs to the suspicious bag.
  • the specific judgment process is referred to the above, and will not be described again here.
  • step S310 If it is determined in step S310 that the item belongs to the item of interest, the method proceeds to step S320. If it is determined in step S310 that the item does not belong to the item of interest, the method also proceeds to step S320.
  • steps S320-S360 of the security check method of FIG. 3 are similar to those performed in steps S220-S260 described above with reference to FIG. 2, and are not described herein again.
  • FIG. 4 shows a flow chart of a security check method in accordance with one embodiment of the present invention.
  • step S410 for all items (for example, all luggage), acquisition and Item related image.
  • an image of the baggage and/or an image of the person carrying the baggage can be obtained.
  • visible light images, infrared images, and/or depth images and the like associated with the luggage may be acquired.
  • step S420 it is determined whether the item belongs to the item of interest, for example, whether the baggage belongs to the suspicious bag.
  • the specific judgment process is referred to the above, and will not be described again here.
  • step S420 If it is determined in step S420 that the item belongs to the item of interest, the method proceeds to step S430. If it is determined in step S420 that the item does not belong to the item of interest, the method proceeds to step S440.
  • steps S430-S460 of the security check method of FIG. 4 are similar to those performed in steps S230-S260 described above with reference to FIG. 2, and are not described herein again.
  • an image of all items can be taken, but only image tags are recorded for the item of interest, e.g., only images of the suspicious baggage are recorded.
  • an image mark can be detected for all items, and if an image mark is detected for an item, it indicates that the item belongs to the item of interest.
  • the above description records image marks for suspicious baggage or all baggage.
  • the security inspection system and method in accordance with the present invention may also record image indicia for non-suspicious luggage. In this case, when an image mark is not detected for a bag at, for example, an exit, it is judged that the bag is a suspicious bag.
  • Embodiments of the present invention are described above by taking airport arrival bag as an example.
  • the article of the present invention is not limited thereto.
  • the security inspection system and method in accordance with the present invention can also be used to perform security checks on other items (e.g., goods, etc.) at other locations (e.g., ports, stations, logistics, etc.).

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  • Emergency Alarm Devices (AREA)

Abstract

一种安全检查系统(10)和方法，用于从多个物品中识别出感兴趣物品，安全检查系统（10）包括：感兴趣物品判断装置(110)，其用于判断物品是否属于感兴趣物品；图像标记赋予装置(120)，其用于针对多个物品中的选定物品，获取与物品相关的图像并记录物品的图像标记；和标记检测装置(130)，其用于检测图像标记，其中，安全检查系统(10)根据标记检测装置(130)的检测结果来识别物品是否属于感兴趣物品并相应地做出提醒。

Description

安全检查系统和方法 技术领域
本发明涉及物品安全检查领域。更具体地，本发明涉及从多个物品中识别出感兴趣物品的安全检查系统和方法。
背景技术
通常，机场到港物品(例如，行李、货物等)在出舱后需要经过安全检查，根据检查结果对于物品贴上不同类型的标签，以便于在出关检测区域通过检测各个物品的标签来识别出需要开箱检查的物品。但是，标签在随物品流转的过程中可能掉落或者被有意或无意地撕掉。例如，旅客在行李岛取到行李后到达出关检测区域之前，为了防止携带的不安全物品被阻止出关，可能会撕掉标签。这样，在没有标签的情况下，可能会在出关检测区域漏检不安全的物品，给公共安全带来隐患。
实体标签的使用还会引起安全检查成本的增高。例如，以日入境3万人的大型机场为例，每天的标签成本达到数万到数十万。此外，为保证能有效将标签粘贴到物品，通常是由工作人员手动或利用专用设备将其粘贴到物品上。这需要消耗大量的人力和物力资源，并且会延长在物品到港后旅客提取物品所需花费的时间。
为此，需要一种能够提高效率、降低成本且可靠筛选出待复查物品的安全检查系统和方法。
发明内容
本发明的一个目的是提供能够不使用实体标签的安全检查系统和方法。本发明的另一目的是提供能够提高检查效率的安全检查系统和方法。本发明的另一目的是提供能够避免漏检和使旅客提前察觉的安全检查系统和方法。本发明的另一目的是提供能够降低人力成本和基础设施改造成本 的安全检查系统和方法。
本发明的一个方面提供一种安全检查系统，该系统用于从多个物品中识别出感兴趣物品，包括：感兴趣物品判断装置，其用于判断物品是否属于感兴趣物品；图像标记赋予装置，其用于针对多个物品中的选定物品，获取与物品相关的图像并记录物品的图像标记；和标记检测装置，其用于检测图像标记，其中，安全检查系统根据标记检测装置的检测结果来识别物品是否属于感兴趣物品并相应地做出提醒。
根据本发明的实施例，选定物品是指全部物品或者被判断为属于感兴趣物品的物品，并且安全检查系统根据检测的图像标记来识别物品是否属于感兴趣物品，其中，如果根据图像标记识别出物品属于感兴趣物品，则做出提醒。
根据本发明的实施例，图像标记是物品所具有的图像特征和/或携带物品的人所具有的图像特征。
根据本发明的实施例，图像标记赋予装置构造成在物品被人提取前和/或在物品被人提取时，获取与物品相关的图像。
根据本发明的实施例，图像标记赋予装置构造成获取物品的图像和/或获取提取物品的人的图像。
根据本发明的实施例，多个物品中的选定物品是指被判断为不属于感兴趣物品的物品，并且标记检测装置在未检测到记录的图像标记时，识别物品属于感兴趣物品并且做出提醒。
本发明的另一方面提供一种安全检查方法，该方法用于从多个物品中识别出感兴趣物品，包括：判断物品是否属于感兴趣物品；针对多个物品中的选定物品，获取与物品相关的图像并记录物品的图像标记；和检测图像标记，并根据检测结果来识别物品是否属于感兴趣物品并相应地做出提醒。
根据本发明的实施例，选定物品是指全部物品或者被判断为属于感兴趣物品的物品，并且根据检测的图像标记来识别物品是否属于感兴趣物品，其中，如果根据图像标记识别出物品属于感兴趣物品，则做出提醒。
根据本发明的实施例，图像标记是物品所具有的图像特征和/或携带物 品的人所具有的图像特征。
根据本发明的实施例，在物品被人提取前和/或在物品被人提取时，获取与物品相关的图像。
根据本发明的实施例，获取与物品相关的图像包括获取物品的图像和/或获取提取物品的人的图像。
根据本发明的实施例，多个物品中的选定物品是指被判断为不属于感兴趣物品的物品，并且在未检测到记录的图像标记时，识别物品属于感兴趣物品并且做出提醒。
附图说明
图1是根据本发明的实施例的安全检查系统的示意图。
图2是根据本发明的实施例的安全检查方法的流程图。
图3是根据本发明的实施例的安全检查方法的流程图。
图4是根据本发明的实施例的安全检查方法的流程图。
具体实施方式
下文中，参照附图描述本发明的实施例。下面的详细描述和附图用于示例性地说明本发明的原理，本发明不限于所描述的优选实施例，本发明的范围由权利要求书限定。
图1是根据本发明的一个实施例的安全检查系统的示意图。如图1所示，安全检查系统10包括感兴趣物品判断装置110、图像标记赋予装置120和标记检测装置130。
感兴趣物品判断装置110用于判断物品是否属于感兴趣物品。根据本发明的实施例，感兴趣物品可以包括可疑物品，例如可疑行李。在示例性实施例中，感兴趣物品判断装置110可以对机场到港行李进行安全检查，以判断行李是否属于可疑行李。在一些实施例中，感兴趣物品判断装置110可以对物品进行扫描以获得物品扫描图像，并对物品扫描图像进行识别分析，根据分析结果确定行李是否为疑似目标行李。在一些实施例中，感兴趣物品判断装置110可以在行李于传送带上被传送的过程中对行李进 行扫描。在一些实施例中，感兴趣物品判断装置110可以包括X射线扫描单元，以对各个行李进行扫描而获得扫描图像。在一些实施例中，感兴趣物品判断装置110可以在本地或远程地对扫描图像进行人工或自动分析以确定行李是否为可疑行李。在一些实施例中，感兴趣物品判断装置110可以识别出或从外部读取与行李相关的信息，例如行李所属旅客的信息等。
图像标记赋予装置120用于针对多个物品中的选定物品，获取与物品相关的图像并记录物品的图像标记。图像标记赋予装置120可以与感兴趣物品判断装置110有线或无线通信。在一些实施例中，图像标记赋予装置120可以从感兴趣物品判断装置110接收与物品相关的信息，例如行李所属旅客的信息、安检图像信息、是否属于可疑行李等。
在示例性实施例中，图像标记赋予装置120可以包括图像获取单元121、图像特征提取单元122和图像标记记录单元123。
图像获取单元121可以用于针对多件行李中的选定行李，获取与行李相关的图像。在一些实施例中，图像获取单元121可以受控制以针对所有行李获取图像。在一些实施例中，图像获取单元121可以受控制以针对可疑行李获取图像。在一些实施例中，图像获取单元121可以受控制以针对非可疑行李获取图像。
根据本发明的实施例，图像获取单元121可以获取行李的图像和/或携带行李的人的图像。在一些实施例中，图像获取单元121可以布置成在行李被人提取前，获取与行李相关的图像。例如，图像获取单元121可以布置成在行李在感兴趣物品判断装置110处被判断是否属于可疑行李之前，获取行李的图像。例如，图像获取单元121可以布置成在行李在感兴趣物品判断装置110处被判断是否属于可疑行李之后，针对所有行李、可疑行李或非可疑行李获取行李的图像。
在一些实施例中，图像获取单元121可以布置成在行李被人提取时，获取与行李相关的图像。在一些实施例中，图像获取单元121可以布置成在行李在感兴趣物品判断装置110处被判断是否属于可疑行李之后并且在行李被人提取时，针对所有行李、可疑行李或非可疑行李，获取行李的图像和/或提取行李的人的图像。
根据本发明的实施例，图像获取单元121可以获取与行李相关的可见光图像、红外图像、和/或深度图像等。在一些实施例中，图像获取单元121可以包括可见光摄像单元、红外摄像单元、和/或深度图像传感单元等。
图像特征提取单元122可以用于从图像获取单元121获取的图像中，提取行李的图像特征和/或携带行李的人的图像特征。在一些实施例中，图像特征提取单元122可以受控制以针对所有行李提取图像特征。在一些实施例中，图像特征提取单元122可以受控制以针对可疑行李提取图像特征。在一些实施例中，图像特征提取单元122可以受控制以针对非可疑行李提取图像特征。
根据本发明的实施例，图像获取单元121可以通过各种图像识别技术来提取行李和/或人的图像特征。在一些实施例中，行李的图像特征可以包括但不限于：行李的形状、行李的尺寸、行李的颜色、行李的纹理、行李的材质等。在一些实施例中，人的图像特征可以包括但不限于：人的脸部特征、人的体型、人的着装、人的发型、人的身高等。
图像标记记录单元123可以用于根据图像特征提取单元122提取的图像特征，记录行李的图像标记。在示例性实施例中，图像标记记录单元123可以从图像特征提取单元122提取的图像特征中，选择一个或多个图像特征，作为行李的图像标记。
标记检测装置130用于检测图像标记。标记检测装置130可以与感兴趣物品判断装置110和/或图像标记赋予装置120有线或无线通信。在一些实施例中，标记检测装置130可以从感兴趣物品判断装置110接收与物品相关的信息，例如行李所属旅客的信息、安检图像信息、是否属于可疑行李等。在一些实施例中，标记检测装置130可以从图像标记赋予装置120接收与行李图像相关的信息，例如行李的图像特征、携带行李的人的图像特征、行李的图像标记等。
在示例性实施例中，标记检测装置130可以包括图像获取单元131、图像标记识别单元132和图像标记比较单元133。
图像获取单元131可以用于获取与行李相关的图像。根据本发明的实 施例，图像获取单元131可以获取行李的图像和/或携带行李的人的图像。在一些实施例中，图像获取单元131可以根据图像标记赋予装置120(例如图像获取单元121)获取的图像(行李的图像、携带行李的人的图像、或两者)来相应地获取图像。
根据本发明的实施例，图像获取单元131可以一次或多次获取行李的图像和/或携带行李的人的图像，例如在一个或多个位置处。在一些实施例中，图像获取单元131可以布置成在行李即将离开安全检查区域前的出口时，例如机场的旅客出口，获取行李的图像和/或携带行李的人的图像。在一些实施例中，图像获取单元131可以布置成在图像标记赋予装置120处获取与行李相关的图像之后或记录行李的图像标记之后，获取行李的图像和/或携带行李的人的图像。
根据本发明的实施例，图像获取单元131可以获取与行李相关的可见光图像、红外图像、和/或深度图像等。在一些实施例中，图像获取单元131可以包括可见光摄像单元、红外摄像单元、和/或深度图像传感单元等。
图像标记识别单元132可以用于从图像获取单元131获取的图像中，识别行李的图像标记。
在示例性实施例中，图像标记识别单元132可以从获取的图像中提取行李的图像特征和/或携带行李的人的图像特征，并根据提取的图像特征来识别行李的图像标记。在一些实施例中，图像标记识别单元132可以根据图像特征提取单元122提取的图像特征，从图像获取单元131获取的图像中提取相应的图像特征。根据本发明的实施例，图像获取单元131可以通过各种图像识别技术来提取行李和/或人的图像特征。
图像标记比较单元133可以用于比较识别出的行李的图像标记与图像标记赋予装置120(例如图像标记记录单元123)记录的行李的图像标记，以判断行李是否属于可疑行李。
根据本发明的实施例，安全检查系统10还可以包括信息输出装置140。信息输出装置140可以与感兴趣物品判断装置110、图像标记赋予装置120和/或标记检测装置130有线或无线通信。在一些实施例中，信息输 出装置140可以从感兴趣物品判断装置110接收与物品相关的信息，例如行李所属旅客的信息、安检图像信息、是否属于可疑行李等。在一些实施例中，信息输出装置140可以从图像标记赋予装置120接收与行李图像相关的信息，例如行李的图像、行李的图像特征、携带行李的人的图像、携带行李的人的图像特征、行李的图像标记等。在一些实施例中，信息输出装置140可以从标记检测装置130接收与物品相关的信息，例如行李的图像、携带行李的人的图像、行李的图像标记、是否属于可疑行李等。
在示例性实施例中，信息输出装置140可以在标记检测装置130识别出行李属于可疑行李时提供警示，例如视觉、声音和触觉警示。工作人员可以根据该警示，在旅客配合下对可疑行李进行开包检查。在一些实施例中，信息输出装置140可以显示安检图像、行李的图像、携带行李的人的图像等。
根据本发明的安全检查系统能够在众多行李中分辨出可疑行李，避免不安全物品出关，从而确保国家和公众安全。此外，根据本发明的安全检查系统可以在不使用实体标签的情况下，分辨出可疑行李，防止可疑行李的漏检，同时避免旅客提前察觉。
下面将参考附图描述根据本发明的实施例的安全检查方法。图2示出根据本发明的一个实施例的安全检查方法的流程图。
如图2所示，在步骤S210，判断物品是否属于感兴趣物品。根据本发明的实施例，感兴趣物品可以包括可疑物品，例如可疑行李。在示例性实施例中，在步骤S210中判断行李是否属于可疑行李。在一些实施例中，可以对物品进行扫描以获得物品扫描图像，并对物品扫描图像进行识别分析，根据分析结果确定行李是否为疑似目标行李。在一些实施例中，可以在行李于传送带上被传送的过程中对行李进行扫描。在一些实施例中，可以通过X射线对各个行李进行扫描而获得扫描图像。在一些实施例中，可以在本地或远程地对扫描图像进行人工或自动分析以确定行李是否为可疑行李。在一些实施例中，可以识别出或从外部读取与行李相关的信息，例如行李所属旅客的信息等。
如果在步骤S210中判断物品不属于感兴趣物品，则该方法进行到步 骤S240。如果在步骤S210中判断物品属于感兴趣物品，则该方法进行到步骤S220。
在步骤S220，针对感兴趣物品(例如可疑行李)，获取与物品相关的图像。根据本发明的实施例，可以获取行李的图像和/或携带行李的人的图像。在一些实施例中，可以在行李被人提取前，获取与行李相关的图像。例如，可以在行李被判断属于可疑行李时，获取行李的图像。在一些实施例中，可以在行李被人提取时，获取与行李相关的图像。例如，可以在行李被判断属于可疑行李之后并且在行李被人提取时，获取行李的图像和/或提取行李的人的图像。根据本发明的实施例，可以获取与行李相关的可见光图像、红外图像、和/或深度图像等。
在步骤S230，记录物品(例如行李)的图像标记。在示例性实施例中，可以从获取的图像中，提取行李的图像特征和/或携带行李的人的图像特征。根据本发明的实施例，可以通过各种图像识别技术来提取行李和/或人的图像特征。在一些实施例中，可以根据提取的图像特征，记录行李的图像标记。在示例性实施例中，可以从提取的图像特征中，选择一个或多个图像特征，作为行李的图像标记。
在步骤S240，检测物品(例如行李)的图像标记。在一些实施例中，可以再次获取与行李相关的图像，例如行李的图像和/或携带行李的人的图像。在一些实施例中，可以一次或多次获取行李的图像和/或携带行李的人的图像，例如在一个或多个位置处。在一些实施例中，可以在行李即将离开安全检查区域前的出口时，例如机场的旅客出口，获取行李的图像和/或携带行李的人的图像。
在示例性实施例中，可以从再次获取的图像中，识别行李的图像标记。在一些实施例中，可以从再次获取的图像中提取行李的图像特征和/或携带行李的人的图像特征，并根据提取的图像特征来识别行李的图像标记。根据本发明的实施例，可以通过各种图像识别技术来提取行李和/或人的图像特征。
在步骤S250，通过识别出的图像标记来判断物品是否属于感兴趣物品(例如判断行李是否属于可疑行李)。在示例性实施例中，可以比较识别 出的行李的图像标记与记录的行李的图像标记，以判断行李是否属于可疑行李。
如果在步骤S250中判断物品不属于感兴趣物品，则该方法结束。这种情况下，例如行李可以被安全放行。如果在步骤S250中判断物品属于感兴趣物品，则该方法进行到步骤S260。
在步骤S260，对感兴趣物品(例如可疑行李)进行特殊查验。在示例性实施例中，工作人员可以在旅客配合下对可疑行李进行开包检查。
在图2所示的实施例中，可以仅对感兴趣物品记录图像标记，例如仅对可疑行李记录图像标记。这种情况下，可以根据检测到的图像标记识别出可疑行李，以对可疑行李进行特殊查验，例如开包检查。
上文描述该安全检查方法根据图像标记识别出感兴趣物品并对感兴趣物品进行特殊查验。但是，本发明不限于此。根据本发明的安全检查方法还可以根据图像标记识别出非感兴趣物品并对非感兴趣物品进行特殊查验。这种情况下，非感兴趣物品可以表示可疑行李。例如，如果在步骤S250中判断物品属于感兴趣物品，则物品(如行李)可以被安全放行。如果在步骤S250中判断物品属于非感兴趣物品，则在步骤S260中对非感兴趣物品进行特殊查验。
下面将参考附图描述根据本发明的实施例的安全检查方法。图3示出根据本发明的一个实施例的安全检查方法的流程图。
如图3所示，在步骤S310，判断物品是否属于感兴趣物品，例如判断行李是否属于可疑行李。具体判断过程参考上文所述，这里不再赘述。
如果在步骤S310中判断物品属于感兴趣物品，则该方法进行到步骤S320。如果在步骤S310中判断物品不属于感兴趣物品，则该方法同样进行到步骤S320。
图3的安全检查方法的步骤S320-S360执行的操作与上文参考图2所描述的步骤S220-S260中执行的操作类似，在此不再赘述。
下面将参考附图描述根据本发明的实施例的安全检查方法。图4示出根据本发明的一个实施例的安全检查方法的流程图。
如图4所示，在步骤S410，针对所有物品(例如所有行李)，获取与 物品相关的图像。根据本发明的实施例，可以获取行李的图像和/或携带行李的人的图像。根据本发明的实施例，可以获取与行李相关的可见光图像、红外图像、和/或深度图像等。
在步骤S420，判断物品是否属于感兴趣物品，例如判断行李是否属于可疑行李。具体判断过程参考上文所述，这里不再赘述。
如果在步骤S420中判断物品属于感兴趣物品，则该方法进行到步骤S430。如果在步骤S420中判断物品不属于感兴趣物品，则该方法进行到步骤S440。
图4的安全检查方法的步骤S430-S460执行的操作与上文参考图2所描述的步骤S230-S260中执行的操作类似，在此不再赘述。
在图4所示的实施例中，可以获取所有物品的图像，但是仅对感兴趣物品记录图像标记，例如仅对可疑行李记录图像标记。这种情况下，可以对所有物品检测图像标记，如果针对某物品检测出图像标记，则表明该物品属于感兴趣物品。
上文描述针对可疑行李或所有行李记录图像标记。但是，本发明不限于此。根据本发明的安全检查系统和方法还可以针对非可疑行李记录图像标记。这种情况下，当在例如出口处对某一行李未能检测到图像标记时，则判断该行李属于可疑行李。
上文以机场到港行李为例描述本发明的实施例。但是，本发明的物品不限于此。根据本发明的安全检查系统和方法还可以用于在其他场所(例如，港口、车站、物流等)对其他物品(例如，货物等)进行安全检查。
尽管已经参考示例性实施例描述了本发明，但是应理解，本发明并不限于上述实施例的构造和方法。相反，本发明意在覆盖各种修改例和等同配置。另外，尽管在各种示例性结合体和构造中示出了所公开发明的各种元件和方法步骤，但是包括更多、更少的元件或方法的其它组合也落在本发明的范围之内。

Claims (12)

  1. 一种安全检查系统，所述系统用于从多个物品中识别出感兴趣物品，包括：
    感兴趣物品判断装置，其用于判断物品是否属于感兴趣物品；
    图像标记赋予装置，其用于针对多个物品中的选定物品，获取与物品相关的图像并记录物品的图像标记；和
    标记检测装置，其用于检测所述图像标记，
    其中，所述安全检查系统根据所述标记检测装置的检测结果来识别物品是否属于感兴趣物品并相应地做出提醒。
  2. 根据权利要求1所述的安全检查系统，其中，
    所述选定物品是指全部物品或者被判断为属于感兴趣物品的物品，并且
    所述安全检查系统根据检测的图像标记来识别物品是否属于感兴趣物品，其中，如果根据图像标记识别出物品属于感兴趣物品，则做出提醒。
  3. 根据权利要求1或2所述的安全检查系统，其中，
    所述图像标记是物品所具有的图像特征和/或携带物品的人所具有的图像特征。
  4. 根据权利要求1或2所述的安全检查系统，其中，
    所述图像标记赋予装置构造成在物品被人提取前和/或在物品被人提取时，获取与物品相关的图像。
  5. 根据权利要求4所述的安全检查系统，其中，
    所述图像标记赋予装置构造成获取物品的图像和/或获取提取物品的人的图像。
  6. 根据权利要求1或2所述的安全检查系统，其中，
    所述多个物品中的选定物品是指被判断为不属于感兴趣物品的物品，并且
    所述标记检测装置在未检测到记录的图像标记时，识别物品属于感兴趣物品并且做出提醒。
  7. 一种安全检查方法，所述方法用于从多个物品中识别出感兴趣物品，包括：
    判断物品是否属于感兴趣物品；
    针对多个物品中的选定物品，获取与物品相关的图像并记录物品的图像标记；和
    检测图像标记，并根据检测结果来识别物品是否属于感兴趣物品并相应地做出提醒。
  8. 根据权利要求7所述的安全检查方法，其中，
    所述选定物品是指全部物品或者被判断为属于感兴趣物品的物品，并且
    根据检测的图像标记来识别物品是否属于感兴趣物品，其中，如果根据图像标记识别出物品属于感兴趣物品，则做出提醒。
  9. 根据权利要求7或8所述的安全检查方法，其中，
    所述图像标记是物品所具有的图像特征和/或携带物品的人所具有的图像特征。
  10. 根据权利要求7或8所述的安全检查方法，其中，
    在物品被人提取前和/或在物品被人提取时，获取与物品相关的图像。
  11. 根据权利要求10所述的安全检查方法，其中，
    获取与物品相关的图像包括获取物品的图像和/或获取提取物品的人的图像。
  12. 根据权利要求7或8所述的安全检查方法，其中，
    所述多个物品中的选定物品是指被判断为不属于感兴趣物品的物品，并且
    在未检测到记录的图像标记时，识别物品属于感兴趣物品并且做出提醒。
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