CN113759433B - Prohibited article screening method and device and security inspection equipment - Google Patents

Prohibited article screening method and device and security inspection equipment Download PDF

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CN113759433B
CN113759433B CN202110924809.3A CN202110924809A CN113759433B CN 113759433 B CN113759433 B CN 113759433B CN 202110924809 A CN202110924809 A CN 202110924809A CN 113759433 B CN113759433 B CN 113759433B
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mark
security inspection
detected
objects
contraband
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CN113759433A (en
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王俊芳
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Zhejiang Zhuoyun Intelligent Technology Co ltd
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Zhejiang Zhuoyun Intelligent Technology Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V5/00Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity
    • G01V5/20Detecting prohibited goods, e.g. weapons, explosives, hazardous substances, contraband or smuggled objects
    • G01V5/22Active interrogation, i.e. by irradiating objects or goods using external radiation sources, e.g. using gamma rays or cosmic rays
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00Investigating 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
    • G01N23/02Investigating 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
    • G01N23/04Investigating 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

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  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Life Sciences & Earth Sciences (AREA)
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  • High Energy & Nuclear Physics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
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Abstract

The invention discloses a method, a device and security inspection equipment for screening contraband, and relates to the technical field of intelligent detection; performing security inspection operation on the detected object, and determining object images corresponding to the detected object and the security inspected quantity, wherein the object images are used for determining whether the detected object contains contraband or not; determining a second mark of the detected object after security inspection; in the case where it is determined that a plurality of objects are contained in the object image based on the first flag, the number of checked and the second flag, the second flag is reset for each object in the object image. The first marks, the security inspection quantity and the second marks of the objects to be inspected are determined, the second marks are reset for a plurality of objects to be inspected in the object image, and then whether the contraband is contained in each object to be inspected is judged, so that if the contraband exists in the objects to be inspected, the contraband can be positioned, and the security inspection efficiency is improved.

Description

Prohibited article screening method and device and security inspection equipment
Technical Field
The invention relates to the technical field of intelligent detection, in particular to a method and a device for screening contraband and security inspection equipment.
Background
Currently, security inspection machines are used for contraband inspection in various industries, such as stations, public exhibitions and postal express industry. The imaging principle of the security inspection machine is as follows: the object to be detected enters the security inspection cavity, the X-ray source is opened, and when the package completely passes through the X-ray detection plate, the X-ray scanning is completed, and a corresponding X-ray image is generated. The general X-ray detection plate is arranged at the middle position inside the security inspection cavity.
The existing security inspection mode generally adopts a manual security inspection mode, a inspector checks security inspection images to manually judge whether contraband exists in an object to be inspected, if so, the corresponding object to be inspected is taken out, and then subsequent processing (such as unpacking, centralized processing and the like) is carried out, so that the manual security inspection processing method is not applicable to high-flow security inspection occasions or high-speed security inspection occasions.
In the existing solution, through automatic marking of the detected object, when contraband is detected, the target detected object is determined rapidly, but in many large-flow object security inspection occasions, a plurality of packages are stacked, when a plurality of packages enter a security inspection channel and are generated on one security inspection image, the detected object cannot be marked with an associated image accurately, and then the packages are unmatched with the mark, so that the image security inspection efficiency is improved.
Disclosure of Invention
The embodiment of the invention provides a method, a device and security inspection equipment for screening contraband, which can realize more accurate screening of target objects to be tested containing the contraband.
In one aspect, the present invention provides a method for screening contraband, the method comprising: determining a first mark of the detected object before security check; performing security inspection operation on the detected object, and determining object images and the number of security inspected objects corresponding to the detected object, wherein the object images are used for determining whether the detected object contains contraband or not; determining a second mark of the detected object after security inspection; resetting a second mark for each object to be tested in the object image under the condition that the object image contains a plurality of objects to be tested based on the first mark, the checked quantity and the second mark; and determining target objects containing contraband in the object images of the plurality of objects.
In an embodiment, the determining the target object including contraband in the object images of the plurality of objects includes: slicing the object image to determine the number of objects to be detected contained in the object image and the interval distance between every two adjacent objects to be detected; and based on the number and the interval distance, performing security inspection operation on each detected object in the object image to determine a target detected object containing contraband in the object image.
In an embodiment, after determining the target test object including contraband in the object image, the method further includes: and moving the target object to a target area based on the second mark of the target object.
In one embodiment, the resetting the second mark for each object in the object image includes: resetting the second marks of the objects to be detected in the object image based on the number, the interval distance and the generation time of the second marks of the objects to be detected after security inspection.
In an embodiment, the determining the target object including contraband in the object image includes: and identifying the contraband from the object image through a deep learning network model, and determining whether the object to be detected contains the contraband.
The invention further provides security inspection equipment, which comprises a security inspection device, a conveyor belt, a first counter, a second counter and a control module; the conveyor belt is arranged in a channel of the security inspection device and used for enabling the object to be inspected to pass through the channel of the security inspection device; the first counter is arranged at the channel inlet and is used for determining a first mark of the tested object before security check; the security inspection device comprises a security inspection cavity, an X-ray source and an X-ray detection plate, and is used for performing security inspection operation on the detected object and determining object images corresponding to the detected object and the number of security inspected objects, wherein the object images are used for determining whether the detected object contains contraband or not; the second counter is arranged at the rear side of the X-ray detection plate and is close to the X-ray detection plate and used for determining a second mark of the detected object after security inspection; the control module is connected to the first counter, the second counter and the security inspection device and is used for resetting the second mark for each detected object in the object image under the condition that the object image contains a plurality of detected objects based on the first mark, the security inspected quantity and the second mark.
In an embodiment, the control module is further configured to determine a target object including contraband in the object images of the plurality of objects, and record a second mark corresponding to the target object.
In one embodiment, the apparatus further comprises a third counter and rejection means; the third counter is arranged at the outlet of the security inspection device, and a preset distance is arranged between the third counter and the second counter, so as to determine a third mark after the security inspection of the detected object is finished; the removing device is arranged at the moving tail end of the conveyor belt, connected to the control module and used for moving the target measured object to a target area based on the second mark and the third mark corresponding to the target measured object.
In an embodiment, the moving the target object to the target area based on the second mark and the third mark corresponding to the target object includes: and moving the target object to a target area under the condition that the second mark corresponding to the target object is the same as the third mark recorded by the third counter.
Another aspect of the present invention provides a contraband screening apparatus, the apparatus comprising: the first marking module is used for determining a first mark of the detected object before security check; the security inspection module is used for performing security inspection operation on the detected object and determining object images corresponding to the detected object and the security inspected quantity, wherein the object images are used for determining whether the detected object contains contraband or not; the second marking module is used for determining a second mark of the detected object after security inspection; a resetting module, configured to reset a second mark for each object to be tested in the object image, in a case where it is determined that the object image contains a plurality of objects to be tested based on the first mark, the number of security checks, and the second mark; and the checking module is used for determining target objects which contain contraband in the object images of the plurality of objects.
In the embodiment of the invention, the first marks, the checked quantity and the second marks of the detected objects are determined, the second marks are reset for a plurality of detected objects in the object image, and then each detected object is judged whether to contain contraband or not, so that if the contraband exists in the detected object, the detected object can be positioned, and the security checking efficiency is improved.
Drawings
The above, as well as additional purposes, features, and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description when read in conjunction with the accompanying drawings. Several embodiments of the present invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:
in the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.
Fig. 1 is a schematic diagram of an implementation flow of a method for screening contraband according to an embodiment of the present invention;
FIG. 2 is a block diagram of a security inspection device according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a contraband screening apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more comprehensible, the technical solutions according to the embodiments of the present invention will be clearly described in the following with reference to the accompanying drawings, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, in one aspect, the present invention provides a method for screening contraband, which includes:
step 101, determining a first mark of a detected object before security inspection;
102, performing security inspection operation on an object to be detected, and determining object images corresponding to the object to be detected and the number of security inspected objects, wherein the object images are used for determining whether the object to be detected contains contraband or not;
step 103, determining a second mark of the detected object after security inspection;
step 104, resetting a second mark for each measured object in the object image under the condition that the plurality of measured objects are contained in the object image based on the first mark, the checked quantity and the second mark;
step 105, determining a target object containing contraband in object images of a plurality of objects.
In this embodiment, the method is mainly applied to security inspection equipment, and is used for inspecting contraband in the detected objects, including infectious objects, radioactive objects, corrosion products, control cutters and the like.
In step 101, before the object to be tested enters the security inspection, a first mark of the object to be tested is first obtained, where the first mark may be a security inspection serial number of the object to be tested entering the security inspection machine in sequence, and the security inspection serial number may be obtained by triggering and counting by a sensing element pre-installed on the security inspection device when the object to be tested enters the security inspection device entrance, where the sensing element may be a pressure sensor or an infrared sensor, but is not limited thereto. The security inspection serial number may be obtained by scanning a specific marker (for example, a two-dimensional code) pre-installed on each object to be inspected.
In step 102, after the first mark of each object is obtained, the object is moved into a security inspection machine, and contraband is scanned for the object by irradiating the object with X-rays to generate a corresponding object image, and the security inspection quantity is recorded, and then whether the object contains contraband can be determined by manual inspection or image recognition.
In step 103, after the security inspection of the object to be inspected is completed, a second mark in the object to be inspected is acquired, where the second mark may represent a security inspection serial number after the security inspection of the object to be inspected, and the security inspection serial number may be acquired by triggering and counting the object to be inspected by a sensing element pre-installed on the security inspection device in the security inspection process, where the sensing element may be a pressure sensor or an infrared sensor, but is not limited thereto. The security inspection serial number may be obtained by scanning a specific marker (for example, a two-dimensional code) pre-installed on each object to be inspected, or may be obtained by recording the security inspection serial number while irradiating with X-rays.
In step 104, after the first mark, the number of checked objects, and the second mark are acquired, it is further determined whether the object image includes a plurality of objects to be tested based on the first mark, the number of checked objects, and the second mark.
The judging process of whether the plurality of objects are contained is as follows:
firstly, defining that the first mark and the second mark are serial numbers, and the distance from the entrance of the object to the X-ray trigger point in the security inspection equipment is an imaging section.
Definition: the first mark is X, the second mark is Y, the number of the checked objects is N, and the objects to be tested are packages.
The observation point (non-initial state) is the time of each +1 of the y value, and the state at the recording time t is X t 、Y t 、N t
1. At time t+1: if X at this time t+1 =Y t+1 (imaging segment is not wrapped), N t+1 -N t =0 (no image is generated at this time), explaining the Y-th t+1 Imaging individual packages and marking the packages;
2. at time t+1: if X at this time t+1 >Y t+1 (there are also packages in the imaging section), N t+1 -N t =0 (no image is generated at this time), explaining Y t+1 Imaging anomalies in the number package (possibly missing or forming an image with the following package), marking the package (recording y-value);
3. at time t+2, the value of Y is Y t+2 If at this time N t+2 -N t+1 =1 (image is generated at this time), description Y t+1 ~Y t+n The (integer) number package is imaged on one map, i.e. the object image contains a plurality of packages.
When it is determined that the object image includes a plurality of objects to be measured, the second mark is reset for each object to be measured, and the setting method specifically may be: firstly, object recognition can be carried out on object images through a neural network based on deep learning, objects to be detected and position information are obtained, a second mark is reset for each object to be detected according to the position information, wherein the neural network based on deep learning needs training in advance, and training data are image information containing a plurality of objects to be detected.
In step 105, after resetting the second flag for each object to be tested, whether the object image contains contraband is detected for each object to be tested, specifically, the object image and the contraband image may be compared in terms of image similarity by using existing algorithms (such as mean absolute difference algorithm (MAD), sum of absolute error algorithm (SAD), square sum of error algorithm (SSD), and mean square sum of error algorithm (MSD)), so as to determine the target object containing contraband.
Therefore, the first mark, the security inspection quantity and the second mark of the detected objects are determined, the second mark is reset for a plurality of detected objects in the object image, and then whether each detected object contains contraband or not is judged, so that if the detected object has the contraband, the detected object can be positioned, and security inspection efficiency is improved.
In one embodiment, determining a target object including contraband in object images of a plurality of objects includes:
slicing the object image to determine the number of objects to be detected contained in the object image and the interval distance between each two adjacent objects to be detected;
and based on the number and the interval distance, performing security inspection operation on each detected object in the object image to determine a target detected object containing contraband in the object image.
In this embodiment, the preferred method for determining the target object in step 105 is as follows:
firstly, slicing an object image, namely screening all detected objects in the object image, acquiring corresponding contour positions after determining the detected objects through the neural network in a slicing mode, slicing according to the contour positions, and further acquiring the quantity of the detected objects contained in the object image and the interval distance between every two adjacent detected objects.
Based on the number and the interval distance, the security inspection sequence of each object to be inspected can be determined, and security inspection operation is performed on each object to be inspected according to the security inspection sequence, so that the target object to be inspected containing contraband in the object image can be determined.
In one embodiment, after determining the target test object including contraband in the object image, the method further comprises:
and moving the target object to the target area based on the second mark of the target object.
In this embodiment, after the target object is determined, the second mark of the target object is recorded.
The removing mode of the target measured object can be that the removing device and the counter are arranged at the outlet of the security inspection device, wherein the counter can record the sequence number of the measured object moving to the removing device through the security inspection device, and therefore when the sequence number recorded by the counter is consistent with the second mark of the target measured object, the removing device can move the target measured object to the target area, and the staff can conveniently acquire the target measured object.
In one embodiment, resetting the second mark for each object in the object image includes:
resetting the second marks of the various objects to be tested in the object image based on the number, the spacing distance and the generation time of the second marks of the objects to be tested after security inspection.
In this embodiment, the preferred manner of resetting the second mark for each object in the object image in step 104 is as follows:
the number of each measured object in the object image and the generation time of the second mark of the measured object after the security check are obtained, wherein the specific obtaining modes of the number and the interval distance are described above, and the generation time can be recorded while the second mark is determined.
The second mark is generally a mark of a first object to be measured in the object image, the generation time of each remaining object to be measured in the object image is calculated based on the generation time of the first object to be measured and the number and the interval distance, and the second mark of each remaining object to be measured in the object image is determined based on the time sequence of the generation times.
In one embodiment, determining a target test object including contraband in an object image includes:
and identifying contraband on the object image through the deep learning network model, and determining whether the object to be detected contains the contraband.
In this embodiment, the detection mode of contraband specifically includes:
after X-ray inspection is carried out on the detected objects through the security inspection machine, object images corresponding to the detected objects are generated, wherein the object images mainly comprise outline patterns of the detected objects.
And aiming at the object image, performing contraband identification on the object image through a deep learning network model to detect whether the object to be detected contains contraband, wherein the deep learning network model is a model which is trained, and can be a convolutional neural network, a self-coding neural network and the like.
The training process of the deep learning network model is as follows:
a plurality of training data is prepared, including a plurality of object images including contraband and a contraband tag corresponding to each object image.
Inputting a large amount of training data into the deep learning network model for pre-training so as to continuously adjust related weight parameters in the model, and when the recognition success rate reaches a preset threshold value, determining that the model training is finished.
In another aspect, the present invention provides a security inspection apparatus, as shown in fig. 2, where the apparatus includes a security inspection device, a conveyor belt, a first counter, a second counter, and a control module;
the conveyor belt is arranged in a channel of the security inspection device and used for enabling the object to be inspected to pass through the channel of the security inspection device;
the first counter is arranged at the entrance of the channel and used for determining a first mark of the tested object before security check;
the security inspection device comprises a security inspection cavity, an X-ray source and an X-ray detection plate, and is used for performing security inspection operation on an object to be inspected and determining object images corresponding to the object to be inspected and the number of the security inspected objects, wherein the object images are used for determining whether the object to be inspected contains contraband or not;
the second counter is arranged at the rear side of the X-ray detection plate and is close to the X-ray detection plate and used for determining a second mark of the detected object after security inspection;
the control module is connected to the first counter, the second counter and the security inspection device and is used for resetting the second mark for each detected object in the object image when the detected object image contains a plurality of detected objects based on the first mark, the security inspected quantity and the second mark.
In this embodiment, the security inspection device is specifically a security inspection machine, and the security inspection machine is widely applied to airfields, railway stations, subway stations, bus stops, government office buildings, large-scale libraries, conference centers, exhibition centers, hotels, malls, large-scale activities, post offices, schools, logistics industries, industrial inspection, and the like.
The conveyer belt is specifically installed in the below of security inspection device for with the object under test conveying to the opposite side from one side of security inspection device.
The first counter is mainly an infrared sensor, a pressure sensor and the like, and is specifically arranged at a channel inlet of the security inspection device, when an object to be inspected is conveyed to the channel inlet through a conveyor belt, the first counter detects the object to be inspected or the pressure of the object to be inspected, and the detected times are used as a first mark of the object to be inspected before security inspection.
The security inspection device further comprises an X-ray source and an X-ray detection plate, wherein the X-ray source is positioned at the top of the security inspection device, and the X-ray detection plate is positioned at the bottom of the security inspection device. The X-ray detection plate is used for sensing that the detected object enters the security inspection device, indicating the X-ray source to carry out image shooting on the detected object, and recording the security inspection quantity.
The second counter is also specifically and mainly an infrared sensor, a pressure sensor and the like, and is specifically arranged at the moving rear end of the X-ray detection plate in a channel of the security inspection device, so that the second counter detects the detected object or the pressure of the detected object when X-rays are shot, and the detected times are used as a second mark of the detected object after security inspection.
The control module is an information center for data processing and can be installed in the security inspection device. The control module is connected with the first counter, the second counter and the security inspection device at the same time, and is used for acquiring the first mark acquired by the first counter, the second mark acquired by the second counter and the security inspection quantity recorded by the security inspection device, judging whether the object image contains a plurality of objects to be tested at the same time, and resetting the second mark for each object to be tested in the object image under the condition that the object image is judged to contain a plurality of objects to be tested at the same time, wherein the judging process of whether the objects to be tested are contained and the process of resetting the second mark are already explained above, and the repeated description is omitted.
Therefore, the first mark, the security inspection quantity and the second mark of the detected objects are determined, the second mark is reset for a plurality of detected objects in the object image, and then whether each detected object contains contraband or not is judged, so that if the detected object has the contraband, the detected object can be positioned, and security inspection efficiency is improved.
In an embodiment, the control module is further configured to determine a target object including contraband in the object images of the plurality of objects, and record a second mark corresponding to the target object.
In this embodiment, the target object may be obtained by comparing and determining the image similarity between the object image and the contraband image through the existing algorithm (such as Mean Absolute Difference (MAD), sum of absolute error (SAD), sum of square error (SSD), and sum of square error (MSD)).
After the target object to be detected is determined, a second mark corresponding to the target object to be detected is recorded and used as a parameter basis of the subsequent rejecting step.
In one embodiment, the apparatus further comprises a third counter and rejection means;
the third counter is arranged at the outlet of the security inspection device, and a preset distance is arranged between the third counter and the second counter, so as to determine a third mark of the detected object after the security inspection is finished;
the removing device is arranged at the moving tail end of the conveyor belt and connected with the control module, and is used for moving the target measured object to the target area based on the second mark and the third mark corresponding to the target measured object.
In this embodiment, the third counter is also specifically and mainly an infrared sensor, a pressure sensor, and the like, and is installed at the outlet of the security inspection device, and is optimally installed at the moving end of the conveyor belt, so as to record a third mark after the security inspection of the object to be inspected is completed, where the third mark is also similar to the first mark and the second mark, and is preferably a serial number after the security inspection of the object to be inspected is completed.
The eliminating device is preferably an oblique swinging turbine, is specifically arranged at the moving end of the conveyor belt and is next to the third counter, so that the counting time of the third counter is synchronized with the eliminating action as much as possible.
The process of executing the rejection action of the target object to be tested is as follows:
when the target measured object sequentially passes through the second counter and the third counter, the second mark and the third mark are recorded respectively, and when the control module judges that the second mark and the third mark are the same, the control module sends a rejection instruction to the rejection device, and the rejection device moves the target measured object to the target area.
In another aspect, the present invention provides a contraband screening apparatus, as shown in fig. 3, including:
a first marking module 201, configured to determine a first mark of the object to be tested before security inspection;
the security inspection module 202 is configured to perform security inspection operation on an object to be inspected, and determine an object image corresponding to the object to be inspected and the number of security inspected objects, where the object image is used to determine whether the object to be inspected contains contraband;
a second marking module 203, configured to determine a second mark of the object after security inspection;
a resetting module 204, configured to reset the second mark for each object to be tested in the object image, in a case where it is determined that the object image contains a plurality of objects to be tested based on the first mark, the number of security checks, and the second mark;
an inspection module 205 is configured to determine a target object including contraband in object images of a plurality of objects.
In this embodiment, the method is mainly applied to security inspection equipment, and is used for inspecting contraband in the detected objects, including infectious objects, radioactive objects, corrosion products, control cutters and the like.
In the first marking module 201, before the object to be tested enters the security inspection, a first mark of the object to be tested is first obtained, where the first mark may be a security inspection serial number of the object to be tested entering the security inspection machine in sequence, and the security inspection serial number may be obtained by triggering and counting by a sensing element pre-installed on the security inspection device when the object to be tested enters the security inspection device, where the sensing element may be a pressure sensor or an infrared sensor, but is not limited thereto. The security inspection serial number may be obtained by scanning a specific marker (for example, a two-dimensional code) pre-installed on each object to be inspected.
In the security inspection module 202, after the first mark of each object to be inspected is obtained, the object to be inspected is moved into the security inspection machine, and contraband scanning is performed on the object to be inspected in such a manner that the object to be inspected is irradiated by using X-rays to generate a corresponding object image, and meanwhile, the number of inspected objects is recorded, and then whether the object to be inspected contains contraband can be judged by means of manual inspection or image recognition.
In the second marking module 203, after the security inspection of the object to be inspected is completed, a second mark in the object to be inspected is obtained, where the second mark may represent a security inspection serial number of the object to be inspected after the security inspection, and the security inspection serial number may be obtained by triggering and counting a sensing element pre-installed on the security inspection device in the security inspection process of the object to be inspected, where the sensing element may be a pressure sensor or an infrared sensor, but is not limited thereto. The security inspection serial number may be obtained by scanning a specific marker (for example, a two-dimensional code) pre-installed on each object to be inspected, or may be obtained by recording the security inspection serial number while irradiating with X-rays.
In the resetting module 204, after the first mark, the number of checked objects and the second mark are acquired, it is further determined whether the object image includes a plurality of objects to be tested based on the first mark, the number of checked objects and the second mark.
The judging process of whether the plurality of objects are contained is as follows:
firstly, defining that the first mark and the second mark are serial numbers, and the distance from the entrance of the object to the X-ray trigger point in the security inspection equipment is an imaging section.
Definition: the first mark is X, the second mark is Y, the number of the checked objects is N, and the objects to be tested are packages.
The observation point (non-initial state) is the time of each +1 of the y value, and the state at the recording time t is X t 、Y t 、N t
1. At time t+1: if X at this time t+1 =Y t+1 (imaging segment is not wrapped), N t+1 -N t =0 (no image is generated at this time), explaining the Y-th t+1 Imaging individual packages and marking the packages;
2. at time t+1: if X at this time t+1 >Y t+1 (there are also packages in the imaging section), N t+1 -N t =0 (no image is generated at this time), explaining Y t+1 Imaging anomalies in number package (possibly present)Missing or forming an image with the subsequent package), marking the package (recording y-value);
3. at time t+2, the value of Y is Y t+2 If at this time N t+2 -N t+1 =1 (image is generated at this time), description Y t+1 ~Y t+n The (integer) number package is imaged on one map, i.e. the object image contains a plurality of packages.
When it is determined that the object image includes a plurality of objects to be measured, the second mark is reset for each object to be measured, and the setting method specifically may be: firstly, object recognition can be carried out on object images through a neural network based on deep learning, objects to be detected and position information are obtained, a second mark is reset for each object to be detected according to the position information, wherein the neural network based on deep learning needs training in advance, and training data are image information containing a plurality of objects to be detected.
In the inspection module 205, after resetting the second flag for each object to be inspected, whether the object image includes contraband is inspected for each object to be inspected, and specifically, the object image and the contraband image may be compared by using existing algorithms (such as mean absolute difference algorithm (MAD), sum of absolute error algorithm (SAD), square sum of error algorithm (SSD), and mean square sum of error algorithm (MSD)) to determine the target object including contraband.
Therefore, the first mark, the security inspection quantity and the second mark of the detected objects are determined, the second mark is reset for a plurality of detected objects in the object image, and then whether each detected object contains contraband or not is judged, so that if the detected object has the contraband, the detected object can be positioned, and security inspection efficiency is improved.
Another aspect of the invention provides a computer readable storage medium comprising a set of computer executable instructions for performing any of the above-described contraband screening methods when the instructions are executed.
In an embodiment of the invention, a computer-readable storage medium includes a set of computer-executable instructions that, when executed, determine a first signature of a test object prior to a security check; performing security inspection operation on the detected object, and determining object images corresponding to the detected object and the security inspected quantity, wherein the object images are used for determining whether the detected object contains contraband or not; determining a second mark of the detected object after security inspection; resetting a second mark for each object to be tested in an object image in the case that the object image contains a plurality of objects to be tested based on the first mark, the checked quantity and the second mark; and determining target objects containing contraband in the object images of the plurality of objects.
Therefore, the first mark, the security inspection quantity and the second mark of the detected objects are determined, the second mark is reset for a plurality of detected objects in the object image, and then whether each detected object contains contraband or not is judged, so that if the detected object has the contraband, the detected object can be positioned, and security inspection efficiency is improved.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
The foregoing is merely illustrative embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think about variations or substitutions within the technical scope of the present invention, and the invention should be covered. Therefore, the protection scope of the invention is subject to the protection scope of the claims.

Claims (10)

1. A method of contraband screening, the method comprising:
determining a first mark of the detected object before security check;
performing security inspection operation on the detected object, and determining object images and the number of security inspected objects corresponding to the detected object, wherein the object images are used for determining whether the detected object contains contraband or not;
determining a second mark of the detected object after security inspection;
resetting a second mark for each object to be tested in the object image under the condition that the object image contains a plurality of objects to be tested based on the first mark, the checked quantity and the second mark;
and determining target objects containing contraband in the object images of the plurality of objects.
2. The method of claim 1, wherein determining a target subject containing contraband in the object images of the plurality of subjects comprises:
slicing the object image to determine the number of objects to be detected contained in the object image and the interval distance between every two adjacent objects to be detected;
and based on the number and the interval distance, performing security inspection operation on each detected object in the object image to determine a target detected object containing contraband in the object image.
3. The method of claim 2, wherein after determining a target test object containing contraband in the object image, the method further comprises:
and moving the target object to a target area based on the second mark of the target object.
4. The method of claim 2, wherein resetting the second mark for each object in the object image comprises:
resetting the second marks of the objects to be detected in the object image based on the number, the interval distance and the generation time of the second marks of the objects to be detected after security inspection.
5. The method of claim 1, wherein the determining a target test object containing contraband in the object image comprises:
and identifying the contraband from the object image through a deep learning network model, and determining whether the object to be detected contains the contraband.
6. The security inspection device is characterized by comprising a security inspection device, a conveyor belt, a first counter, a second counter and a control module;
the conveyor belt is arranged in a channel of the security inspection device and used for enabling the object to be inspected to pass through the channel of the security inspection device;
the first counter is arranged at the channel inlet and is used for determining a first mark of the tested object before security check;
the security inspection device comprises a security inspection cavity, an X-ray source and an X-ray detection plate, and is used for performing security inspection operation on the detected object and determining object images corresponding to the detected object and the number of security inspected objects, wherein the object images are used for determining whether the detected object contains contraband or not;
the second counter is arranged at the rear side of the X-ray detection plate and is close to the X-ray detection plate and used for determining a second mark of the detected object after security inspection;
the control module is connected to the first counter, the second counter and the security inspection device and is used for resetting the second mark for each detected object in the object image under the condition that the object image contains a plurality of detected objects based on the first mark, the security inspected quantity and the second mark.
7. The apparatus of claim 6, wherein the control module is further configured to determine a target object including contraband in the object images of the plurality of objects, and record a second mark corresponding to the target object.
8. The apparatus of claim 7, further comprising a third counter and rejection device;
the third counter is arranged at the outlet of the security inspection device, and a preset distance is arranged between the third counter and the second counter, so as to determine a third mark after the security inspection of the detected object is finished;
the removing device is arranged at the moving tail end of the conveyor belt, connected to the control module and used for moving the target measured object to a target area based on the second mark and the third mark corresponding to the target measured object.
9. The apparatus of claim 8, wherein the moving the target object to the target area based on the second and third markers corresponding to the target object comprises:
and moving the target object to a target area under the condition that the second mark corresponding to the target object is the same as the third mark recorded by the third counter.
10. A contraband screening apparatus, the apparatus comprising:
the first marking module is used for determining a first mark of the detected object before security check;
the security inspection module is used for performing security inspection operation on the detected object and determining object images corresponding to the detected object and the security inspected quantity, wherein the object images are used for determining whether the detected object contains contraband or not;
the second marking module is used for determining a second mark of the detected object after security inspection;
a resetting module, configured to reset a second mark for each object to be tested in the object image, in a case where it is determined that the object image contains a plurality of objects to be tested based on the first mark, the number of security checks, and the second mark;
and the checking module is used for determining target objects which contain contraband in the object images of the plurality of objects.
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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101305300B1 (en) * 2012-10-11 2013-09-06 사단법인 대덕원자력포럼 Millimeter wave search system and unified search method for freight and passenger using the system
CN207216655U (en) * 2017-09-20 2018-04-10 重庆微标科技股份有限公司 A kind of rays safety detection apparatus
CN109709619A (en) * 2018-12-22 2019-05-03 许敬良 Safety check luggage exports alarm system
CN109902643A (en) * 2019-03-07 2019-06-18 浙江啄云智能科技有限公司 Intelligent safety inspection method, device, system and its electronic equipment based on deep learning
CN110133739A (en) * 2019-04-04 2019-08-16 南京全设智能科技有限公司 A kind of X-ray rays safety detection apparatus and its drawing method is known automatically
CN110865415A (en) * 2018-08-28 2020-03-06 浙江大华技术股份有限公司 Security inspection method and device
CN111382725A (en) * 2020-04-01 2020-07-07 上海东普信息科技有限公司 Method, device, equipment and storage medium for processing illegal express packages
WO2020187077A1 (en) * 2019-03-21 2020-09-24 长安大学 Deep neural network-based security check system and method
CN112967289A (en) * 2021-02-08 2021-06-15 上海西井信息科技有限公司 Security check package matching method, system, equipment and storage medium
CN113104334A (en) * 2021-04-16 2021-07-13 深圳蓝胖子机器智能有限公司 Dynamic labeling method, electronic device and storage medium

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100277312A1 (en) * 2007-02-22 2010-11-04 Peter Michael Edic In-line high-throughput contraband detection system
GB2564038B (en) * 2016-02-22 2021-11-10 Rapiscan Systems Inc Systems and methods for detecting threats and contraband in cargo

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101305300B1 (en) * 2012-10-11 2013-09-06 사단법인 대덕원자력포럼 Millimeter wave search system and unified search method for freight and passenger using the system
CN207216655U (en) * 2017-09-20 2018-04-10 重庆微标科技股份有限公司 A kind of rays safety detection apparatus
CN110865415A (en) * 2018-08-28 2020-03-06 浙江大华技术股份有限公司 Security inspection method and device
CN109709619A (en) * 2018-12-22 2019-05-03 许敬良 Safety check luggage exports alarm system
CN109902643A (en) * 2019-03-07 2019-06-18 浙江啄云智能科技有限公司 Intelligent safety inspection method, device, system and its electronic equipment based on deep learning
WO2020187077A1 (en) * 2019-03-21 2020-09-24 长安大学 Deep neural network-based security check system and method
CN110133739A (en) * 2019-04-04 2019-08-16 南京全设智能科技有限公司 A kind of X-ray rays safety detection apparatus and its drawing method is known automatically
CN111382725A (en) * 2020-04-01 2020-07-07 上海东普信息科技有限公司 Method, device, equipment and storage medium for processing illegal express packages
CN112967289A (en) * 2021-02-08 2021-06-15 上海西井信息科技有限公司 Security check package matching method, system, equipment and storage medium
CN113104334A (en) * 2021-04-16 2021-07-13 深圳蓝胖子机器智能有限公司 Dynamic labeling method, electronic device and storage medium

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