WO2018113427A1 - 安全检查装置和方法 - Google Patents

安全检查装置和方法 Download PDF

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Publication number
WO2018113427A1
WO2018113427A1 PCT/CN2017/109511 CN2017109511W WO2018113427A1 WO 2018113427 A1 WO2018113427 A1 WO 2018113427A1 CN 2017109511 W CN2017109511 W CN 2017109511W WO 2018113427 A1 WO2018113427 A1 WO 2018113427A1
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WIPO (PCT)
Prior art keywords
tested
mark
image
suspected dangerous
raman
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PCT/CN2017/109511
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English (en)
French (fr)
Inventor
张建红
杨内
王红球
易裕民
唐虎
魏国华
Original Assignee
同方威视技术股份有限公司
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Publication of WO2018113427A1 publication Critical patent/WO2018113427A1/zh

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    • 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
    • G01V5/223—Mixed interrogation beams, e.g. using more than one type of radiation beam
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01T—MEASUREMENT OF NUCLEAR OR X-RADIATION
    • G01T1/00—Measuring X-radiation, gamma radiation, corpuscular radiation, or cosmic radiation
    • G01T1/16—Measuring radiation intensity
    • G01T1/1603—Measuring radiation intensity with a combination of at least two different types of detector
    • 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
    • G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/65—Raman scattering
    • 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
    • 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
    • G01N23/046—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 using tomography, e.g. computed tomography [CT]
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N9/00—Investigating density or specific gravity of materials; Analysing materials by determining density or specific gravity
    • G01N9/24—Investigating density or specific gravity of materials; Analysing materials by determining density or specific gravity by observing the transmission of wave or particle radiation through the material
    • 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
    • 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
    • G01V5/226—Active interrogation, i.e. by irradiating objects or goods using external radiation sources, e.g. using gamma rays or cosmic rays using tomography
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2223/00—Investigating materials by wave or particle radiation
    • G01N2223/03—Investigating materials by wave or particle radiation by transmission
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2223/00—Investigating materials by wave or particle radiation
    • G01N2223/10—Different kinds of radiation or particles
    • G01N2223/1006—Different kinds of radiation or particles different radiations, e.g. X and alpha
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2223/00—Investigating materials by wave or particle radiation
    • G01N2223/10—Different kinds of radiation or particles
    • G01N2223/101—Different kinds of radiation or particles electromagnetic radiation
    • G01N2223/1016—X-ray
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2223/00—Investigating materials by wave or particle radiation
    • G01N2223/40—Imaging
    • G01N2223/419—Imaging computed tomograph

Definitions

  • Embodiments of the present invention relate to the field of security inspection, and more particularly to a security inspection apparatus and method.
  • X-ray method This method consists of two branches: the first method uses X-ray to achieve two-dimensional scanning; the second method uses X-ray CT technology.
  • the object is inspected by computer tomography (CT) technology, and the density information and atomic number information of the object to be inspected can be known.
  • CT computer tomography
  • CT technology can only identify suspect items in the baggage, but cannot tell the specific substance type of the suspect.
  • CT technology can be used to identify the drug in the baggage, but the specific type of the drug cannot be confirmed.
  • a safety inspection apparatus and method integrating a CT detection device and a Raman spectroscopy detection device are proposed for one or more problems in the prior art.
  • Embodiments of the present invention provide a security inspection apparatus including: a CT detection apparatus and a Raman spectrum detection apparatus, wherein the CT detection apparatus includes: a CT scanner configured to scan a test object to generate a CT image, An image recognizer arranged to identify the CT image to check whether there is a suspected dangerous article in the object to be tested, and an item marker, the article marker being arranged to make a predetermined on the object to be tested in which the suspected dangerous product is present Marking; and the Raman spectroscopy detecting apparatus comprises: a Raman spectroscopy measuring device arranged to extract a Raman spectrum of suspected dangerous goods in the object to be tested, and a Raman spectroscopy comparison device arranged to dispose the suspected dangerous goods The Raman spectrum is compared to a Raman spectrum of known components to determine the composition of the suspected dangerous goods, and an item indicia identifier that is arranged to identify the predetermined indicia in the object to be tested.
  • the CT detection apparatus includes: a CT scanner configured to scan a test
  • the security inspection apparatus further includes: an information recording device arranged to record the mark recognized by the item mark identifier and the CT image of the object to be tested having the predetermined mark and the suspected danger The ingredients of the product.
  • the item marker is a two-dimensional code generator, the mark is a two-dimensional code, and the item mark identifier is a two-dimensional code recognizer.
  • the security check device further includes a video capture device, the video capture device being arranged to collect a video of the object to be tested and a carrier of the object to be tested.
  • the markers of the same object to be tested, the CT image, the video, and components of the suspected dangerous goods are recorded in association.
  • the security inspection device further includes an article transport device between the CT detecting device and the Raman spectroscopy detecting device, the article transport device having a transmitter for using the object to be tested Transmitting from a CT detecting device to a Raman spectroscopy detecting device, wherein the sifter is provided with a sifter for identifying the mark on the object to be tested to test the object having the mark The test object without the mark is sent out to the security inspection device while being transported toward the Raman spectroscopy detecting device.
  • Embodiments of the present invention provide a security inspection method including the steps of: scanning a sample to be detected by a CT scanner to generate a CT image and checking whether there is a suspected dangerous article in the object to be tested; and the object to be tested in the presence of a suspected dangerous product Making a predetermined mark on the object; identifying the predetermined mark in the object to be tested; and extracting a Raman spectrum of the suspected dangerous substance in the test object having the predetermined mark and Raman spectrum with a known component Compare to determine the ingredients of the suspected dangerous goods.
  • the security inspection method further includes: recording the identified mark and the CT image of the object to be tested having the predetermined mark and the result detected by the Raman spectroscopy detecting device.
  • the security inspection method further includes collecting a video of the object to be tested and a carrier of the object to be tested, and providing a video of the object to be tested and the carrier thereof having the predetermined mark
  • the CT image of the predetermined object to be tested and the components of the suspected dangerous goods are recorded in association with each other.
  • the indicia is a two dimensional code.
  • the security inspection device and the security inspection method according to the embodiments of the present invention combine the CT scanning imaging technology and the Raman spectroscopy detection technology, and can scan the space inside the package to confirm the suspected dangerous goods and accurately determine the suspected danger.
  • the specific ingredients of the product can be used to determine the detection efficiency and accuracy, and is especially suitable for baggage parcel safety inspection at airports, stations and other places.
  • Figure 1 shows a schematic view of a security inspection device in accordance with an embodiment of the present invention
  • FIG. 2 is a schematic view showing a manner of transmitting a test object of a security inspection device according to an embodiment of the present invention
  • FIG. 3 shows a flow chart of a security check method according to an embodiment of the present invention
  • FIG. 4 is a schematic diagram showing the detection of a baggage item using a security inspection device in accordance with an embodiment of the present invention.
  • a security inspection apparatus comprising: a CT detection apparatus arranged to scan a test object to generate a CT image and to check whether there is a suspected dangerous article in the object to be tested; and a Raman spectrum detecting device, Arranging to extract a Raman spectrum of suspected dangerous goods in the test object and comparing the Raman spectrum of the suspected dangerous goods with the Raman spectrum of the known component to determine a component item marker of the suspected dangerous product, wherein
  • the CT detecting apparatus includes an article marker arranged to make a predetermined mark on a test object in which a suspected dangerous article is present, and the Raman spectrum detecting device includes an article mark recognizer, the article mark recognition The device is arranged to identify the predetermined indicia in the object to be tested.
  • FIG. 1 shows a schematic structural view of a security inspection apparatus 100 according to an embodiment of the present invention.
  • the security inspection device 100 includes a CT detection device 10 and a Raman spectroscopy detection device 20.
  • the CT detecting apparatus 10 includes a CT scanner 11, an image recognizer 12, and an item marker 13.
  • the CT scanner 11 is arranged to scan a test object to generate a CT image.
  • the image recognizer 12 is arranged to detect the CT image to check whether there is a suspected dangerous article in the object to be tested.
  • the article marker 13 is arranged to make a predetermined mark on the object to be tested in which the suspect dangerous article is present.
  • the Raman spectroscopy detecting apparatus 20 may include, for example, a Raman spectroscopy measuring device 21, a Raman spectroscopy aligning device 22, and an article mark recognizer 23.
  • the Raman spectroscopic measuring device 21 is arranged to extract a Raman spectrum of suspected dangerous goods in the object to be tested.
  • the Raman spectral alignment device 22 is arranged to align the Raman spectrum of the suspected dangerous product with the Raman spectrum of the known composition to determine the composition of the suspected dangerous product.
  • the item mark identifier 23 is arranged to identify the predetermined mark in the object to be tested.
  • the safety inspection device integrated with the CT detection device and the Raman spectroscopy detection device can make up for the specificity of the CT detection device to determine the suspected dangerous goods (such as drugs, explosives, flammable and explosive materials, etc.). Defects in the composition, and the test object is more comprehensive and accurate. This is especially beneficial for the inspection of baggage parcels at airports, stations and other places.
  • suspected dangerous goods such as drugs, explosives, flammable and explosive materials, etc.
  • the article marker 13 can be made on the object to be tested in which the suspected dangerous product exists.
  • a predetermined mark is made to bind the test object to its CT image.
  • the item mark identifier 23 in the Raman spectrum detecting device 20 can identify the predetermined mark in the object to be tested.
  • This aspect can prevent the Raman spectroscopy detecting device 20 from erroneously detecting the object to be tested that has been eliminated by the CT detecting device 10, thereby affecting the detection efficiency, and on the other hand, the suspected dangerous product determined by the Raman spectroscopy detecting device 20 can be
  • the component is also bound to the analyte to ensure correspondence between the detection result based on the CT image and the detection result based on the Raman spectrum.
  • the item marker may be a two-dimensional code generator
  • the indicia may be a two-dimensional code
  • the item indicia identifier may be a two-dimensional code identifier.
  • the QR code has the advantages of large information capacity and strong fault tolerance. However, this is not essential, and the marking may be implemented by other means such as a barcode.
  • the CT scanner 11 can form a CT image using a conventional CT scan imaging device. Since CT technology is a mature technology, it will not be described in detail here.
  • the image recognizer 12 is for identifying the CT image to check whether there is a suspected dangerous article in the object to be tested. This can be done by determining whether the CT image contains image features of suspected dangerous goods.
  • the image characteristics of the suspected dangerous goods may include, but are not limited to, specific colors (such as black, brownish yellow, etc.), shapes, shapes (such as liquids, solid powders, etc.) possessed by the dangerous goods.
  • the process of recognition of the CT image by image recognizer 12 can be accomplished, for example, by any suitable known pattern recognition algorithm. If necessary, it is possible to verify whether the judgment result of the image recognizer 12 is correct by means of manual recognition.
  • Image recognizer 12 may be implemented by a signal processing device or by a computer or other processor.
  • Image recognizer 12 can be implemented by known image recognition devices.
  • the Raman spectroscopy device 21 can be implemented by known Raman spectroscopy devices, for example, can include Raman optical signal acquisition devices (including, for example, lasers, lenses, dichroic mirrors or filters, etc.) and spectrometers. .
  • the Raman spectral alignment device 22 can be implemented by a signal processing device or by a computer or other processor.
  • the Raman spectrum matching device 22 can store, for example, Raman spectrum data of dangerous substances of various known components, and after receiving the Raman spectrum of the suspected dangerous goods measured by the Raman spectrometry device 21, It is compared to the Raman spectrum of known components to determine the composition of the suspected dangerous product.
  • the Raman spectral alignment device 22 can determine whether the error of measuring the Raman spectrum and the Raman spectrum of the known component is within a predetermined range to determine whether the known component is contained in the suspected dangerous product. This can be done by calculating the similarity between the measured Raman spectral signal and the Raman spectrum of the known component. The similarity is calculated by various methods, for example, assuming that the Raman spectrum curve of the known component of the sample is A(x), and the measured Raman spectrum curve of the suspected dangerous product is B(x), in an example, Using the maximum likelihood algorithm, the similarity between the two can be calculated by equation (1):
  • Corr represents the similarity between the reference Raman spectrum of the known component and the measured Raman spectrum of the suspected dangerous goods
  • ⁇ represents the dot product operation
  • A(x) and B(x) may be sampled separately to obtain n sample points, denoted as A1, A2, ..., An, and B1, B2, ..., Bn, respectively.
  • the similarity of the Raman spectrum of the known component to the measured Raman spectrum of the suspected dangerous goods Corr can be calculated according to the formula (2):
  • ⁇ also represents a dot product operation.
  • A(x) and B(x) may also be sampled separately to obtain n sample points, respectively denoted as A1, A2, ..., An and B1, B2, ..., Bn, the Raman spectrum of the known component and the similarity of the measured Raman spectrum of the suspected dangerous goods Corr can be calculated according to the formula (3):
  • the above similarity calculation may be performed for the entire Raman spectrum, or may be performed only for the portion having the characteristic portion in the Raman spectrum.
  • the above is merely an example of some similarity calculations, and some other similarity calculation methods known to those skilled in the art are also feasible. It is determined whether the error of the measured Raman spectrum of the suspected dangerous product and the Raman spectrum of the known component is within a predetermined range, and can be determined by the above similarity being greater than a certain threshold.
  • the threshold of similarity may be 0.9, 0.8, and the like.
  • the predetermined range may be a threshold for measuring a deviation between a Raman spectrum and a corresponding characteristic peak position of a Raman spectrum of a known component (eg, the threshold may be between 10 and 50 waves) Or the threshold of the deviation between the peak heights of the characteristic peaks.
  • the security inspection device 100 may further include an information recording device 30.
  • the information recording device 30 is arranged to record the mark recognized by the article mark identifier 23 and the CT image (obtained by the CT detecting device 10) of the object to be tested having the predetermined mark and the component of the suspected dangerous article ( Obtained by Raman spectroscopy detecting device 20. This can clearly establish a correlation between the test object (for example, baggage package), the suspected dangerous goods, the detection result of the CT detecting device 10, and the detection result of the Raman spectroscopy detecting device 20, thereby making it easy to find the source of the dangerous goods.
  • the information recording device 30 may include, for example, a computer, a server, an optical disk recording device, a hard disk recording device, and the like.
  • image recognizer 12 and Raman spectral alignment device 22 may be two separate components, or may be integrated together, for example as two modules of a signal processing device. As an example, the image recognizer 12 and the Raman spectral alignment device 22 may also be integrated with the information recording device 30.
  • the security check device 100 may further include one or more video capture devices 40, 50, the video capture devices 40, 50 being arranged to collect the test object and the carrying of the test object Video of the person.
  • This provides additional information for the security check.
  • the indicia of the same object to be tested, the CT image, the video, and the components of the suspected dangerous goods may be recorded in association.
  • the term "associated recording" means that in the recording, the components of the same object to be tested, the CT image, the video, and the components of the suspected dangerous goods are clearly mapped, for example, one-to-one correspondence, so that when any of the above information of the object to be tested is read, other information of the same object to be tested may also be acquired together.
  • such information of the same object to be tested may be recorded in the same association table in the database in the information recording device 30.
  • the security inspection device 100 detects that the object to be tested has a suspected dangerous product, the source of the suspected dangerous product can be quickly confirmed according to the video of the object to be tested and the carrier of the object to be tested.
  • the security inspection device 100 can also include an item delivery device 60 located between the CT detection device 10 and the Raman spectroscopy detection device 20.
  • the article transport device 60 has a conveyor 61 for transmitting a test object from the CT detecting device 10 to the Raman spectrum detecting device 20.
  • the conveyor 61 is provided with a sifter 62 for identifying the mark on the object to be tested to transmit the object having the mark toward the Raman spectroscopy detecting device 20.
  • the test object without the mark is sent out to the security inspection device 100. As shown in FIG. 2, the object to be tested can be sent from the inlet 70 of the security inspection device 100 to the CT detecting device 10.
  • the object to be tested is conveyed by the conveyor 61 through the sifter 62.
  • the divider 62 detects whether there is a predetermined mark made by the item marker 13 (for example, a two-dimensional code generator) on the object to be tested, and if the predetermined mark is present, the object to be tested is allowed to be pulled by the conveyor 61
  • the MN spectrum detecting device 20 transmits, and if the predetermined mark is not present, the object to be tested is sent to the exit 80 of the security inspection device 100.
  • the conveyor 61 can be realized, for example, by a belt, a track, or the like.
  • the sifter 62 may be, for example, a mark recognizer (for example, a two-dimensional code recognizer or the like) and a flow dividing device (for example, a roller for changing the conveying direction of the object to be tested, a robot, etc.).
  • a mark recognizer for example, a two-dimensional code recognizer or the like
  • a flow dividing device for example, a roller for changing the conveying direction of the object to be tested, a robot, etc.
  • Embodiments of the present invention also provide a security check method, including the following steps:
  • S10 Scan the object to be tested by using a CT scanner to generate a CT image and check whether there is a suspected dangerous product in the object to be tested;
  • S40 Extracting a Raman spectrum of the suspected dangerous goods in the test object having the predetermined mark and comparing with the Raman spectrum of the known component to determine the composition of the suspected dangerous goods.
  • step S10 if it is determined in step S10 that there is a suspect dangerous article in the object to be tested, the inspection process may be ended.
  • the security check method may further include:
  • Step S50 Recording the identified mark and the CT image of the object to be tested having the predetermined mark and the result detected by the Raman spectroscopy detecting device.
  • the security check method may further include:
  • Step S60 collecting a video of the object to be tested and a carrier of the object to be tested, and displaying the video of the object to be tested and the carrier thereof with the predetermined mark and the CT of the object with the predetermined mark
  • the image and the components of the suspected dangerous goods are recorded in association.
  • the indicia can be a two-dimensional code.
  • a two-dimensional code generator can be utilized to generate a two-dimensional code.
  • the two-dimensional code paper sticker can be affixed to the object to be tested.
  • the CT image can be labeled with the information of the two-dimensional code.
  • the two-dimensional code generator can also be used to scan the information and mark the corresponding CT image.
  • two two-dimensional code paper tags may be generated and pasted, for example, in the package to which the object to be tested and the object to be tested belong.
  • the security check method may further include: between step S20 and step S40:
  • Step S70 Identify the mark on the object to be tested, transfer the object to be tested with the mark to the Raman spectrum detecting device to perform step S40, and send the object to be tested without the mark to the safety inspection device.
  • the security inspection apparatus 100 may further include portions for controlling the CT scanner 11, the image recognizer 12, the article marker 13, the Raman spectrum measuring device 21, the Raman spectrum matching device 22, and the article mark recognizer 23.
  • a controller that implements the above security check method.
  • image recognizer 12 and Raman spectral alignment device 22 can be integrated with the controller.
  • suspected dangerous goods may include, but are not limited to, liquid materials, powdered solids, other types of solids or sol gels.
  • the carrier 91 of the object to be tested 90 sends the object to be tested 90 (such as a baggage package) from the entrance 70 of the security inspection device 100 to the security inspection device 100 for inspection (specific inspection by the CT inspection device) 10 and Raman spectroscopy detecting device 20 perform), if the inspection passes, the object to be tested 90 will be sent out from the outlet 80 of the security inspection device 100, and the security inspection process is completed.
  • the package may be opened by hand or opened by a robot to expose the suspected dangerous goods for inspection.
  • the CT detecting apparatus 10 inspects the object to be measured 90, it is also possible to mark the position of the suspect dangerous article on the CT image so as to facilitate the subsequent detection by the Raman spectroscopy detecting apparatus 20.
  • the inlet 70 of the security inspection device 100 is provided with A video capture device (e.g., camera) 40 is also provided with a video capture device (e.g., camera) 50 at the exit 80 of the security check device 100.
  • These video capture devices 40, 50 can be used to capture a video of the object under test 90 and its carrier 91 at the entrance 70 and exit 80.
  • the video capturing the object to be tested 90 and the video of the carrier 91 capturing the object to be tested 90 may employ different video capture devices to optimize the resolution and the imaging position, respectively.
  • aspects of the embodiments disclosed herein may be implemented in an integrated circuit as a whole or in part, as one or more of one or more computers running on one or more computers.
  • a computer program eg, implemented as one or more programs running on one or more computer systems
  • implemented as one or more programs running on one or more processors eg, implemented as one or One or more programs running on a plurality of microprocessors, implemented as firmware, or substantially in any combination of the above, and those skilled in the art, in accordance with the present disclosure, will be provided with design circuitry and/or write software and / or firmware code capabilities.
  • signal bearing media include, but are not limited to, recordable media such as floppy disks, hard drives, compact disks (CDs, DVDs), digital tapes, computer memories, and the like; and transmission-type media, such as digital and/or analog communication media (eg, , fiber optic cable, waveguide, wired communication link, wireless communication link, etc.).

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Abstract

一种安全检查装置和安全检查方法，安全检查装置（100）包括CT检测设备（10）和拉曼光谱检测设备（20），其中，CT检测设备（10）包括：CT扫描器（11），布置成对待测物（90）进行扫描以生成CT图像，图像识别器（12），布置成对CT图像进行识别以检查待测物（90）中是否存在嫌疑危险品，和物品标记器（13），布置成在存在嫌疑危险品的待测物（90）上制作预定的标记；且拉曼光谱检测设备（20）包括：拉曼光谱测量装置（21），布置成提取待测物（90）中的嫌疑危险品的拉曼光谱，拉曼光谱比对装置（22），布置成将嫌疑危险品的拉曼光谱与已知成分的拉曼光谱进行比对以确定嫌疑危险品的成分，和物品标记识别器（23），布置成识别待测物（90）中的预定的标记。

Description

安全检查装置和方法
交叉引用
本申请要求于2016年12月23日递交中国专利局的、申请号为201611208515.6的中国专利申请的权益，该申请的全部内容以引用方式并入本文。
技术领域
本发明的实施例涉及安检领域，尤其涉及一种安全检查装置和方法。
背景技术
当前，对行李物品的安检主要包括化学方法(如离子迁移)、电磁方法、中子方法和射线方法。其中，应用最为广泛的当属X射线方法。这种方法包括两个分支：第一种方法是采用X射线实现二维扫描；第二种是采用X射线CT技术。
利用计算机层析X射线摄像(CT)技术对物品进行检查，能够获知被检物体的密度信息和原子序数信息。随着CT安检速度的不断提升，该项技术的应用领域越来越大。
但是，CT技术只能识别出行李中的嫌疑物品，但无法告知嫌疑物品的具体物质种类。例如，利用CT技术可以识别出行李中的毒品，但无法确认该毒品的具体种类。
对于这种情况，需要将该嫌疑物送至专业实验室进行详细分析。这给安检工作带来极大不便，无法对现场嫌疑物进行第一时间的处理。
发明内容
针对现有技术中的一个或多个问题，提出了一种整合了CT检测设备和拉曼光谱检测设备的安全检查装置及方法。
本发明的实施例提供了一种安全检查装置，包括：CT检测设备和拉曼光谱检测设备，其中，所述CT检测设备包括：CT扫描器，布置成对待测物进行扫描以生成CT图像，图像识别器，布置成对所述CT图像进行识别以检查待测物中是否存在嫌疑危险品，和物品标记器，所述物品标记器布置成在存在嫌疑危险品的待测物上制作预定的标记；且所述拉曼光谱检测设备包括：拉曼光谱测量装置，布置成提取待测物中的嫌疑危险品的拉曼光谱，拉曼光谱比对装置，布置成将所述嫌疑危险品的拉曼光谱与已知成分的拉曼光谱进行比对以确定嫌疑危险品的成分，和物品标记识别器，所述物品标记识别器布置成识别所述待测物中的所述预定的标记。
在一实施例中，所述安全检查装置还包括：信息记录设备，布置成记录由所述物品标记识别器所识别的标记和具备该预定的标记的待测物的所述CT图像以及嫌疑危险品的成分。
在一实施例中，所述物品标记器为二维码生成器，所述标记为二维码，所述物品标记识别器为二维码识别器。
在一实施例中，所述安全检查装置还包括视频采集设备，所述视频采集设备布置成采集所述待测物及所述待测物的携带者的视频。
在一实施例中，同一待测物的所述标记、所述CT图像、所述视频以及嫌疑危险品的成分被关联地记录。
在一实施例中，所述安全检查装置还包括位于所述CT检测设备和拉曼光谱检测设备之间的物品输送装置，所述物品输送装置具有传送器，所述传送器用于将待测物从CT检测设备传送给拉曼光谱检测设备，其中，所述传送器上设置有筛分器，所述筛分器用于识别待测物上的所述标记以将具有所述标记的待测物朝向所述拉曼光谱检测设备传送而将没有所述标记的待测物送出所述安全检查装置。
本发明的实施例提供了一种安全检查方法，包括步骤：利用CT扫描器对待测物进行扫描以生成CT图像并检查待测物中是否存在嫌疑危险品；在存在嫌疑危险品的待测物上制作预定的标记；识别所述待测物中的所述预定的标记；和提取具有所述预定的标记的待测物中的嫌疑危险品的拉曼光谱并与已知成分的拉曼光谱进行比对以确定嫌疑危险品的成分。
在一实施例中，所述安全检查方法还包括：记录所识别的标记和具备该预定标记的待测物的所述CT图像以及由所述拉曼光谱检测设备检测的结果。
在一实施例中，所述的安全检查方法还包括采集所述待测物及所述待测物的携带者的视频，并将具备该预定标记的待测物及其携带者的视频与具备该预定标记的待测物的所述CT图像以及所述嫌疑危险品的成分关联地记录。
在一实施例中，所述标记为二维码。
根据本发明的实施例的安全检查装置和安全检查方法，融合了CT扫描成像技术和拉曼光谱检测技术，既能够对包装体内部的空间进行扫描来确认嫌疑危险品，又能够准确确定嫌疑危险品的具体成分。这种安全检查装置和安全检查方法兼顾了检测效率和准确性，尤其适用于机场、车站等地的行李包裹安全检查。
附图说明
为了更好的理解本发明，将根据以下附图对本发明的实施例进行描述：
图1示出了根据本发明实施例的安全检查装置的示意图；
图2示出了根据本发明实施例的安全检查装置的待测物传送方式的示意图；
图3示出了根据本发明实施例的安全检查方法的流程图；以及
图4示出了采用根据本发明实施例的安全检查装置检测行李物品的示意图。
附图没有对实施例的所有电路或结构进行显示。贯穿所有附图相同的附图标记表示相同或相似的部件或特征。
具体实施方式
下面通过实施例，并结合附图，对本发明的技术方案作进一步具体的说明。在说明书中，相同或相似的附图标号表示相同或相似的部件。下述参照附图对本发明实施方式的说明旨在对本发明的总体发明构思进行解释，而不应当理解为对本发明的一种限制。
根据本发明的总体构思，提供一种安全检查装置，包括：CT检测设备，布置成对待测物进行扫描以生成CT图像并检查待测物中是否存在嫌疑危险品；和拉曼光谱检测设备，布置成提取待测物中的嫌疑危险品的拉曼光谱并将所述嫌疑危险品的拉曼光谱与已知成分的拉曼光谱进行比对以确定嫌疑危险品的成分物品标记器，其中所述CT检测设备包括物品标记器，所述物品标记器布置成在存在嫌疑危险品的待测物上制作预定的标记，且所述拉曼光谱检测设备包括物品标记识别器，所述物品标记识别器布置成识别所述待测物中的所述预定的标记。
另外，在下面的详细描述中，为便于解释，阐述了许多具体的细节以提供对本披露实施例的全面理解。然而明显地，一个或更多个实施例在没有这些具体细节的情况下也可以被实施。
图1示出了根据本发明实施例的安全检查装置100的结构示意图。所述安全检查装置100包括CT检测设备10和拉曼光谱检测设备20。在图1的示例中，所述CT检测设备10包括CT扫描器11、图像识别器12和物品标记器13。所述CT扫描器11布置成对待测物进行扫描以生成CT图像。所述图像识别器12布置成对所述CT图像进行检测以检查待测物中是否存在嫌疑危险品。所述物品标记器13布置成在存在嫌疑危险品的待测物上制作预定的标记。拉曼光谱检测设备20例如可以包括拉曼光谱测量装置21、拉曼光谱比对装置22和物品标记识别器23。拉曼光谱测量装置21布置成提取待测物中的嫌疑危险品的拉曼光谱。拉曼光谱比对装置22布置成将所述嫌疑危险品的拉曼光谱与已知成分的拉曼光谱进行比对以确定嫌疑危险品的成分。物品标记识别器23布置成识别所述待测物中的所述预定的标记。
采用根据本发明的实施例的集成有CT检测设备和拉曼光谱检测设备的安全检查装置，可以弥补CT检测设备难以确定嫌疑危险品(例如毒品、爆炸物、易燃易爆物等)的具体成分的缺陷，而对待测物进行更为全面准确快速的检查。这对于机场、车站等地的行李包裹的检查尤其有益。
在通过对CT图像的分析识别而确定待测物存在嫌疑危险品而需要进一步检测该待测物中的嫌疑危险品的成分时，物品标记器13可以在存在嫌疑危险品的待测物上制 作预定的标记，以将该待测物与其CT图像绑定。而拉曼光谱检测设备20中的物品标记识别器23可以识别所述待测物中的所述预定的标记。这一方面可以防止拉曼光谱检测设备20误检测已经被CT检测设备10所排除危险的待测物而影响检测效率，另一方面可以将拉曼光谱检测设备20所确定的该嫌疑危险品的成分也与该待测物绑定以确保基于CT图像的检测结果与基于拉曼光谱的检测结果的对应性。
作为示例，所述物品标记器可以为二维码生成器，所述标记可以为二维码，所述物品标记识别器可以为二维码识别器。二维码具有信息容量大、容错能力强的优势。但这不是必须的，例如也可以采用条形码等其它方式来实现所述标记。
作为示例，CT扫描器11可以采用常规的CT扫描成像装置来形成CT图像。由于CT技术是成熟的技术，在此不再进行详细介绍。图像识别器12用于对CT图像进行识别以检查待测物中是否存在嫌疑危险品。这可以通过判断该CT图像中是否含有嫌疑危险品的图像特征来完成。嫌疑危险品的图像特征可以包括但不限于危险品所具有的特定的颜色(如黑色、棕黄色等)、形状、形态(如液体、固体粉末等)等等。图像识别器12对于CT图像的识别过程可以例如通过任何合适的已知的模式识别等算法来实现。必要时，可以通过人工识别的方式来核实图像识别器12的判断结果是否正确。图像识别器12可以由信号处理装置来实现，也可以由计算机或其它处理器来实现。图像识别器12可以由已知的图像识别装置来实现。
作为示例，拉曼光谱测量装置21可以由已知的拉曼光谱设备来实现，例如可以包括拉曼光学信号采集装置(例如包括激光器、透镜、二向色镜或滤光片等等)和光谱仪。拉曼光谱比对装置22可以由信号处理装置来实现，也可以由计算机或其它处理器来实现。拉曼光谱比对装置22例如可以存储有多种已知成分的危险品的拉曼光谱数据，在接收到来自拉曼光谱测量装置21所测量的嫌疑危险品的拉曼光谱图之后，可以将其与已知成分的拉曼光谱进行比对以确定嫌疑危险品的成分。拉曼光谱比对装置22可以判定测量拉曼光谱图与已知成分的拉曼光谱图的误差是否在预定范围内从而确定嫌疑危险品中是否包含该已知成分。这可以通过计算测量拉曼光谱信号与已知成分的拉曼光谱图的相似度来进行。相似度的计算有多种方法，例如，假定样品的已知成分的拉曼光谱图曲线为A(x)，嫌疑危险品的测量拉曼光谱图曲线为B(x)，在一示例中，采用最大似然算法，可以通过式(1)对两者的相似度进行计算：
Figure PCTCN2017109511-appb-000001
其中Corr表示已知成分的参考拉曼光谱图和嫌疑危险品的测量拉曼光谱图的相似度，“·”表示点积运算。
在另一示例中，可以对A(x)和B(x)分别进行采样以各获得n个采样点，分别表示为A1，A2，...，An以及B1，B2，...，Bn，已知成分的拉曼光谱图和嫌疑危险品的测量拉曼光谱图的相似度Corr可以根据式(2)进行计算：
Figure PCTCN2017109511-appb-000002
其中，“·”也表示点积运算。
在另一示例中，亦可以对A(x)和B(x)分别进行采样以各获得n个采样点，分别表示为A1，A2，...，An以及B1，B2，...，Bn，已知成分的拉曼光谱图和嫌疑危险品的测量拉曼光谱图的相似度Corr可以根据式(3)进行计算：
Figure PCTCN2017109511-appb-000003
上述相似度计算可以针对整个拉曼光谱图进行，也可以仅针对于拉曼光谱图中具有特征部分的局部进行。以上仅是给出了一些相似度计算的示例，本领域技术人员所知的一些其他的相似度计算方法也是可行的。判定嫌疑危险品的测量拉曼光谱图与已知成分的拉曼光谱图的误差是否在预定范围内，可以通过上述相似度大于一定的阈值来确定。作为示例，该相似度的阈值可以为0.9，0.8等等。
作为示例，判定嫌疑危险品的测量拉曼光谱图与已知成分的拉曼光谱图的误差是否在预定范围内，也可以直接通过峰强检测(幅值检测)和峰位检测(相位检测或拐点检测)来提取特征峰的信息，从而直接将嫌疑危险品的测量拉曼光谱图与已知成分的拉曼光谱图中的这些特征峰的信息进行比较来实现。在此情况下，所述预定范围可以是测量拉曼光谱图与已知成分的拉曼光谱图的对应的特征峰位置之间的偏差的阈值(例如该阈值可以在10至50波数之间)或特征峰峰强之间的偏差的阈值。
在一示例中，安全检查装置100还可以包括信息记录设备30。该信息记录设备30布置成记录由所述物品标记识别器23所识别的标记和具备该预定的标记的待测物的所述CT图像(由CT检测设备10获得)以及嫌疑危险品的成分(由拉曼光谱检测设备20获得)。这可以将待测物(例如行李包裹)、嫌疑危险品、CT检测设备10的检测结果和拉曼光谱检测设备20的检测结果建立清晰的关联，从而易于查找危险品的来源。信息记录设备30例如可以包括计算机、服务器、光盘记录装置、硬盘记录装置等等。
作为示例，图像识别器12和拉曼光谱比对装置22可以是独立设置的两个部件，也可以集成在一起，例如作为一个信号处理装置的两个模块。作为示例，图像识别器12和拉曼光谱比对装置22也可以与信息记录设备30集成在一起。
在一示例中，所述安全检查装置100还可以包括一个或更多个视频采集设备40、50，所述视频采集设备40、50布置成采集所述待测物及所述待测物的携带者的视频。这为安全检查提供了附加的信息。作为示例，同一待测物的所述标记、所述CT图像、所述视频以及嫌疑危险品的成分可以被关联地记录。所谓“关联地记录”是指在记录中，同一待测物的所述标记、所述CT图像、所述视频以及嫌疑危险品的成分被建立清晰的映射关系，例如一一对应，以使得当待测物的任一项上述信息被读取时，同一待测物的其他信息也可以被一起获取。例如，同一待测物的这些信息可以记录在信息记录设备30中的数据库中的同一个关联表中。这样，一旦安全检查装置100检查出待测物具有嫌疑危险品，可以根据所述待测物及所述待测物的携带者的视频来迅速地确认所述嫌疑危险品的来源。
在一示例中，安全检查装置100还可以包括位于所述CT检测设备10和拉曼光谱检测设备20之间的物品输送装置60。所述物品输送装置60具有传送器61，所述传送器61用于将待测物从CT检测设备10传送给拉曼光谱检测设备20。所述传送器61上设置有筛分器62，所述筛分器62用于识别待测物上的所述标记以将具有所述标记的待测物朝向所述拉曼光谱检测设备20传送而将没有所述标记的待测物送出所述安全检查装置100。如图2所示，待测物可以从安全检查装置100的入口70送入CT检测设备10，在经过CT检测设备10检测之后，待测物被传送器61传送经过筛分器62，由筛分器62检测待测物上是否存在由物品标记器13(例如二维码生成器)所做的预定的标记，如果存在所述预定的标记，则允许该待测物被传送器61朝向拉曼光谱检测设备20传送，而如果不存在所述预定的标记，则将该待测物送至安全检查装置100的出口80。传送器61可以例如由传送带、轨道等部件来实现。筛分器62例如可以由标记识别器(例如二维码识别器等)和分流装置(例如用于改变待测物的传送方向的滚轮、机械手等)。借助于物品输送装置60，可以准确地确定哪些待测物应当被朝向拉曼光谱检测设备20传送以防止出现检测错误。
本发明的实施例还提供了一种安全检查方法，包括以下步骤：
S10：利用CT扫描器对待测物进行扫描以生成CT图像并检查待测物中是否存在嫌疑危险品；
S20：在存在嫌疑危险品的待测物上制作预定的标记；
S30：识别所述待测物中的所述预定的标记；和
S40：提取具有所述预定的标记的待测物中的嫌疑危险品的拉曼光谱并与已知成分的拉曼光谱进行比对以确定嫌疑危险品的成分。
借助于上述安全检查方法，可以实现CT扫描和拉曼光谱双重检测，从而既可以实现对待测物(例如行李包裹等)的射线透视检测，又可以确定待测物中嫌疑危险品的成分。需要说明的是，上述步骤S30和S40的执行顺序可以颠倒，也可以同时执行。
如图3所示，如果步骤S10确定待测物中存在嫌疑危险品，则可以结束检查流程。
在一示例中，所述安全检查方法还可以包括：
步骤S50：记录所识别的标记和具备该预定标记的待测物的所述CT图像以及由所述拉曼光谱检测设备检测的结果。
作为示例，所述安全检查方法还可以包括：
步骤S60：采集所述待测物及所述待测物的携带者的视频，并将具备该预定标记的待测物及其携带者的视频与具备该预定标记的待测物的所述CT图像以及所述嫌疑危险品的成分关联地记录。
作为示例，所述标记可以为二维码。例如，可以利用二维码生成器来生成二维码。在一个例子中，可将该二维码纸签粘贴在待测物上。同时，在数据库中，可以对CT图像加以标注该二维码的信息。在另一个例子中，如果待测物(或嫌疑危险品)外包装上已有二维码，也可以利用该二维码生成器扫描该信息，并标注对应的CT图像。在另外一个例子中，还可生成两个二维码纸签，分别粘贴在例如待测物和待测物所属包裹中。
作为示例，所述安全检查方法在所述步骤S20和步骤S40之间还可以包括：
步骤S70：识别待测物上的所述标记，将具有所述标记的待测物传送至拉曼光谱检测设备以执行步骤S40，而将没有所述标记的待测物送出安全检查装置。
作为示例，安全检查装置100还可以包括用于控制CT扫描器11、图像识别器12、物品标记器13、拉曼光谱测量装置21、拉曼光谱比对装置22和物品标记识别器23等部分实现上述安全检查方法的控制器。在一示例中，图像识别器12和拉曼光谱比对装置22可以与该控制器集成在一起。
在本发明的实施例中，嫌疑危险品可以包括但不限于液体物质、粉末状固体、其他类型的固体或溶胶凝胶等物质。
图4示出了根据本发明的实施例的安全检查装置用于行李包裹检测的应用示例。在该示例中，待测物90的携带者91(例如旅客)将待测物90(如行李包裹)从安全检查装置100的入口70送入安全检查装置100进行检查(具体检查由CT检测设备10和拉曼光谱检测设备20执行)，如果检查通过，待测物90将从安全检查装置100的出口80送出，安全检查流程完毕。在检查过程中，作为示例，在利用拉曼光谱检测设备20检测待测物90之前，可以人工开包或借助机械手开包以将嫌疑危险品裸露出来，便于检测。为了进一步提高检查效率，例如，在CT检测设备10对待测物90进行检查时，还可以在CT图像上标记嫌疑危险品的位置，以便于后续更方便地用拉曼光谱检测设备20进行检测。在图4示出的示例中，在安全检查装置100的入口70设置有 视频采集设备(例如摄像头)40，在安全检查装置100的出口80也设置有视频采集设备(例如摄像头)50。这些视频采集设备40、50可以用于在入口70和出口80处拍摄待测物90及其携带者91的视频。作为示例，拍摄待测物90的视频和拍摄待测物90的携带者91的视频可以采用不同的视频采集设备，以分别对分辨率及摄像位置进行优化。
以上的详细描述通过使用示意图、流程图和/或示例，已经阐述了上述安全检查装置的众多实施例。在这种示意图、流程图和/或示例包含一个或多个功能和/或操作的情况下，本领域技术人员应理解，这种示意图、流程图或示例中的每一功能和/或操作可以通过各种结构、硬件、软件、固件或实质上它们的任意组合来单独和/或共同实现。在一个实施例中，本发明的实施例所述主题的若干部分可以通过专用集成电路(ASIC)、现场可编程门阵列(FPGA)、数字信号处理器(DSP)、或其他集成格式来实现。然而，本领域技术人员应认识到，这里所公开的实施例的一些方面在整体上或部分地可以等同地实现在集成电路中，实现为在一台或多台计算机上运行的一个或多个计算机程序(例如，实现为在一台或多台计算机系统上运行的一个或多个程序)，实现为在一个或多个处理器上运行的一个或多个程序(例如，实现为在一个或多个微处理器上运行的一个或多个程序)，实现为固件，或者实质上实现为上述方式的任意组合，并且本领域技术人员根据本公开，将具备设计电路和/或写入软件和/或固件代码的能力。此外，本领域技术人员将认识到，本公开所述主题的机制能够作为多种形式的程序产品进行分发，并且无论实际用来执行分发的信号承载介质的具体类型如何，本公开所述主题的示例性实施例均适用。信号承载介质的示例包括但不限于：可记录型介质，如软盘、硬盘驱动器、光盘(CD、DVD)、数字磁带、计算机存储器等；以及传输型介质，如数字和/或模拟通信介质(例如，光纤光缆、波导、有线通信链路、无线通信链路等)。
虽然结合附图对本发明进行了说明，但是附图中公开的实施例旨在对本发明优选实施方式进行示例性说明，而不能理解为对本发明的一种限制。附图中的尺寸比例仅仅是示意性的，并不能理解为对本发明的限制。
虽然本发明总体构思的一些实施例已被显示和说明，本领域普通技术人员将理解，在不背离本总体发明构思的原则和精神的情况下，可对这些实施例做出改变，本发明的范围以权利要求和它们的等同物限定。

Claims (10)

  1. 一种安全检查装置，包括：
    CT检测设备和拉曼光谱检测设备，其中，
    所述CT检测设备包括：
    CT扫描器，布置成对待测物进行扫描以生成CT图像，
    图像识别器，布置成对所述CT图像进行识别以检查待测物中是否存在嫌疑危险品，和
    物品标记器，所述物品标记器布置成在存在嫌疑危险品的待测物上制作预定的标记；且
    所述拉曼光谱检测设备包括：
    拉曼光谱测量装置，布置成提取待测物中的嫌疑危险品的拉曼光谱，
    拉曼光谱比对装置，布置成将所述嫌疑危险品的拉曼光谱与已知成分的拉曼光谱进行比对以确定嫌疑危险品的成分，和
    物品标记识别器，所述物品标记识别器布置成识别所述待测物中的所述预定的标记。
  2. 如权利要求1所述的安全检查装置，还包括：
    信息记录设备，布置成记录由所述物品标记识别器所识别的标记和具备该预定的标记的待测物的所述CT图像以及嫌疑危险品的成分。
  3. 如权利要求2所述的安全检查装置，其中，所述物品标记器为二维码生成器，所述标记为二维码，所述物品标记识别器为二维码识别器。
  4. 如权利要求2或3所述的安全检查装置，还包括视频采集设备，所述视频采集设备布置成采集所述待测物及所述待测物的携带者的视频。
  5. 如权利要求4所述的安全检查装置，其中，同一待测物的所述标记、所述CT图像、所述视频以及嫌疑危险品的成分被关联地记录。
  6. 如权利要求1至3中任一项所述的安全检查装置，还包括位于所述CT检测设备和拉曼光谱检测设备之间的物品输送装置，所述物品输送装置具有传送器，所述传送器用于将待测物从CT检测设备传送给拉曼光谱检测设备，其中，所述传送器上设置有筛分器，所述筛分器用于识别待测物上的所述标记以将具有所述标记的待测物朝向所述拉曼光谱检测设备传送而将没有所述标记的待测物送出所述安全检查装置。
  7. 一种安全检查方法，包括步骤：
    利用CT扫描器对待测物进行扫描以生成CT图像并检查待测物中是否存在嫌疑危险品；
    在存在嫌疑危险品的待测物上制作预定的标记；
    识别所述待测物中的所述预定的标记；和
    提取具有所述预定的标记的待测物中的嫌疑危险品的拉曼光谱并与已知成分的拉曼光谱进行比对以确定嫌疑危险品的成分。
  8. 如权利要求7所述的安全检查方法，还包括：
    记录所识别的标记和具备该预定标记的待测物的所述CT图像以及由所述拉曼光谱检测设备检测的结果。
  9. 如权利要求8所述的安全检查方法，还包括采集所述待测物及所述待测物的携带者的视频，并将具备该预定标记的待测物及其携带者的视频与具备该预定标记的待测物的所述CT图像以及所述嫌疑危险品的成分关联地记录。
  10. 如权利要求7至9中任一项所述的安全检查方法，其中所述标记为二维码。
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Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106770166A (zh) * 2016-12-23 2017-05-31 同方威视技术股份有限公司 安全检查装置和方法
CN108064394B (zh) * 2017-08-11 2021-12-03 深圳前海达闼云端智能科技有限公司 一种安检物品的检测方法、装置及电子设备
CN109726617A (zh) * 2017-10-30 2019-05-07 同方威视科技江苏有限公司 安检系统以及安检方法
CN107855284A (zh) * 2017-12-06 2018-03-30 北京极智嘉科技有限公司 带有安检功能的物品分拣系统及方法
CN108519625A (zh) * 2018-04-08 2018-09-11 安徽理工大学 基于射线技术与深度学习的可识别违禁物品安检系统
CN109490975A (zh) * 2018-11-07 2019-03-19 浙江大华技术股份有限公司 安检系统、方法、装置和存储介质
CN110210368B (zh) * 2019-05-28 2023-07-18 东北大学 一种基于安检图像的危险品图像注入方法
CN111598147B (zh) * 2020-04-28 2021-02-05 合肥格泉智能科技有限公司 一种基于ct设备国际快件图像查验装置及系统
CN112965121B (zh) * 2021-02-03 2022-03-04 南京航空航天大学 一种基于液态金属随机编码的辐射成像安检系统
CN117590479A (zh) * 2022-08-08 2024-02-23 同方威视技术股份有限公司 嫌疑物品定位系统和定位方法

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060056586A1 (en) * 2004-09-15 2006-03-16 Naohito Uetake Method and equipment for detecting explosives, etc.
CN104335032A (zh) * 2012-05-31 2015-02-04 赛默科技便携式分析仪器有限公司 使用组合的x射线荧光和拉曼光谱法的样品分析
CN104375203A (zh) * 2014-11-12 2015-02-25 安徽启路达光电科技有限公司 一种配备多种安检技术的双通道安检装置
CN104865279A (zh) * 2014-02-26 2015-08-26 清华大学 一种用于海关监管物项的快速检查设备和方法
CN105068135A (zh) * 2015-08-11 2015-11-18 李新 行邮智能检测系统及检测方法
CN106770166A (zh) * 2016-12-23 2017-05-31 同方威视技术股份有限公司 安全检查装置和方法
CN206274312U (zh) * 2016-12-23 2017-06-23 同方威视技术股份有限公司 安全检查装置

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5642393A (en) 1995-09-26 1997-06-24 Vivid Technologies, Inc. Detecting contraband by employing interactive multiprobe tomography
US20060104414A1 (en) 2002-01-30 2006-05-18 Mayo William E Combinatorial contraband detection using energy dispersive x-ray diffraction
IL151745A (en) * 2002-09-12 2007-10-31 Uzi Sharon Explosive detection and detection system
US9014425B2 (en) 2010-04-21 2015-04-21 Optosecurity Inc. Method and system for use in performing security screening
CN104458693B (zh) * 2013-09-25 2018-06-01 同方威视技术股份有限公司 用于毒品检测的拉曼光谱测量方法
CN105549119B (zh) 2015-12-18 2018-08-24 同方威视技术股份有限公司 对多个物品进行安全检查的方法及系统

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060056586A1 (en) * 2004-09-15 2006-03-16 Naohito Uetake Method and equipment for detecting explosives, etc.
CN104335032A (zh) * 2012-05-31 2015-02-04 赛默科技便携式分析仪器有限公司 使用组合的x射线荧光和拉曼光谱法的样品分析
CN104865279A (zh) * 2014-02-26 2015-08-26 清华大学 一种用于海关监管物项的快速检查设备和方法
CN104375203A (zh) * 2014-11-12 2015-02-25 安徽启路达光电科技有限公司 一种配备多种安检技术的双通道安检装置
CN105068135A (zh) * 2015-08-11 2015-11-18 李新 行邮智能检测系统及检测方法
CN106770166A (zh) * 2016-12-23 2017-05-31 同方威视技术股份有限公司 安全检查装置和方法
CN206274312U (zh) * 2016-12-23 2017-06-23 同方威视技术股份有限公司 安全检查装置

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