An X-ray security inspection method and device based on multi-camera fusion

Abstract

The present invention discloses an X-ray security inspection method and device based on multi-camera fusion. When the inspected passenger places luggage on the X-ray security inspection instrument, the image of the person will be collected in real time, and then the luggage package will be scanned with X-rays. The background will bind the personnel information of this stage with the X-ray image of the luggage, and store the data while corresponding the X-ray visible image of the luggage scan to the passengers who have passed the security inspection one by one. When the background analysis server identifies contraband, the security inspectors can find the passengers carrying contraband or dangerous goods more quickly. In the present invention, on the basis of the traditional X-ray security inspection function, an automatic association function of people and bags is added, and the luggage is bound to its own personnel through image association technology, thereby helping security inspectors to implement security inspection work more quickly and effectively. With the address information of the data storage space and the external image information of the luggage as the association intermediary, the data information between the passenger and the luggage is associated and stored, which is convenient for tracing through images.

Description

Technical Field

[0001] The present invention relates to the technical field of security inspection machines, and in particular to an X-ray security inspection method and a security inspection device based on multi-camera fusion. Background Art

[0002] Security inspection machines with X-ray as the core technology have long been popular in subways, airports, railway stations, large event venues, logistics and other scenarios. However, behind the security, the existing security inspection system has pain points such as high labor costs, low efficiency, and single functions. In baggage inspection occasions at stations, airports, docks, etc., it is common to encounter similar luggage items being taken by mistake, and the luggage owner cannot be found after the luggage inspection is completed. In addition, when there are prohibited items in the luggage, it is difficult to quickly and accurately find the owner of the luggage items in the first place. Usually, there are full-time staff to search and track during luggage inspection, but the efficiency and accuracy of this work are not high under long-term working conditions.

[0003] Another pain point of security inspection is in the subway scene. It is understood that subway security inspectors are on duty for more than 12 hours a day on average. Although they adopt a shift system, the chaotic work and rest schedule makes many people in a sub-healthy state and have no enthusiasm for work. Since personnel are required to stay focused during security inspections, and working too long will lead to distraction, many security checkpoints implement a half-hour rotation system during peak hours, which wastes a lot of manpower costs. If the security inspection machine can have the ability to distinguish dangerous goods, then these costs can be saved. Summary of the invention

[0004] In view of the problems in the above-mentioned background technology, one object of the present invention is to provide an X-ray security inspection method based on multi-camera fusion, which adds an automatic person-bag association function on the basis of the traditional X-ray security inspection function, and binds the luggage with its owner through image association technology, thereby helping security inspection personnel to implement security inspection work more quickly and effectively.

[0005] To achieve the above purpose, the technical solution of the present invention is as follows:

[0006] An X-ray security inspection method based on multi-camera fusion, the specific steps are as follows:

[0007] S1. When the passenger places the luggage into the X-ray security scanner at time Ta, the infrared sensor is triggered to detect that the luggage is placed. The first image acquisition terminal A at the security entrance acquires the image information of the passenger and the luggage at time Ta, captures the passenger's facial image information A1 and the luggage's external image information A2, and sends an information storage request.

[0008] S2. The analysis server receives a storage request from the first image acquisition terminal A, establishes a data storage space corresponding to the time point Ta, stores the time point information and generates address information of the data storage space, stores the passenger facial image information A1 and the luggage external image information A2, and generates first association data associated with the passenger and the luggage;

[0009] S3, the X-ray security scanner scans the luggage and obtains X-ray image information A3 of the luggage within the time period from Ta to Tb, where Tb is the final generation time of the X-ray image set;

[0010] S4. The analysis server receives the storage request from the X-ray security scanner, obtains the address information of the data storage space corresponding to Ta, stores the X-ray image information A3 of the luggage into the data storage space, and generates second associated data associating the passenger facial image information A1, the luggage external image information A2 and the X-ray image information A3;

[0011] S5. The analysis server identifies the prohibited items in the luggage through the X-ray image information A3, marks the prohibited items in the X-ray image, determines the level of the prohibited items in the luggage, triggers an alarm of the corresponding level according to the level of the prohibited items, associates the marked X-ray image with the passenger's facial image, and sends it to the background display for display;

[0012] S6, the baggage claimer at the security check exit claims the baggage at time Tc, the second image acquisition terminal B collects the baggage picture information, the picture information including the baggage claimer and the baggage, and captures the baggage claimer's facial image information B1 and the baggage external image information a2;

[0013] S7, the analysis server receives the storage request from the second image acquisition terminal B, obtains the address information of the data storage space corresponding to Ta, stores the time point information, the facial image information B1 of the baggage claimer and the external image information a2 of the luggage, generates the third associated data associated with the baggage claimer and the luggage, and compares the third associated data with the first associated data;

[0014] If the third associated data does not match the image information of the first associated data, an alarm is triggered.

[0015] Furthermore, in step S6, based on the difference ΔT between the time point Tc and the time point Ta, the facial image information B1 of the baggage claim person is determined:

[0016] A threshold is set according to the transmission speed of the X-ray security scanner. If the difference △T is less than the set threshold, it is considered that the facial image of the baggage claimer collected has the highest correlation with the baggage, and the corresponding facial image is used as the facial image information B1 of the baggage claimer.

[0017] Furthermore, if the difference △T is greater than a set threshold, all picture information including the baggage claim person and the luggage at the time point Tc is collected, and the corresponding facial image is captured as the facial image B1 information of the baggage claim person.

[0018] Furthermore, the address information of the data storage space is used as an association medium to associate the passenger's facial image information A1, the luggage's external image information A2 and the X-ray image information A3 to form second associated data.

[0019] Furthermore, with the luggage external image information as the association medium, the first association data including the passenger facial image information A1 and the luggage external image information A2 is associated and compared with the third association data including the luggage claimer facial image information B1 and the luggage external image information a2.

[0020] Furthermore, when analyzing and comparing the first associated data and the third associated data, the luggage external image information a2 is consistent with the luggage external image information A2. If the luggage claiming person's facial image information B1 is inconsistent with the passenger's facial image information A1 or is not matched with the luggage claiming person's facial image information B1, it is considered that the passenger has taken the wrong luggage or missed it, and an alarm is issued.

[0021] Furthermore, the analysis server adopts a convolutional neural network structure, and after a large amount of image data recognition, an artificial intelligence recognition model is established to identify the prohibited items in the luggage by comparison.

[0022] By comparing the X-ray visible image of the luggage, the prohibited items or dangerous goods in the X-ray visible image of the luggage are identified, and different prohibited items or dangerous goods are marked with rectangular frames and labels of different colors, and the marked X-ray visible image is displayed on the display.

[0023] Another object of the present invention is to provide an X-ray security inspection device based on multi-camera fusion, comprising a first image acquisition terminal A, an X-ray security inspection instrument, a second image acquisition terminal B, an analysis server, a display and an audible and visual alarm;

[0024] The X-ray security scanner is used to generate X-ray image information A3. An infrared sensor is provided at the entrance of the X-ray security scanner to detect the placement of passenger luggage and trigger the image acquisition terminal and the X-ray security scanner to work;

[0025] The first image acquisition terminal A is used to capture the image information of the passenger and the luggage when the luggage is placed in the X-ray security scanner at time point Ta, and to capture the passenger's facial image information A1 and the luggage's external image information A2;

[0026] The second image acquisition terminal B is used to capture the image information of the baggage claim person and the luggage at the security check exit at the time point Tc, and to capture the facial image information B1 of the baggage claim person and the external image information a2 of the luggage;

[0027] The analysis server comprises a preprocessing module, a data storage module, a data association module and a data processing module;

[0028] The pre-processing module is used to receive a storage request, generate a corresponding data storage space and record the time point when the luggage is placed in the X-ray security scanner as Ta, the time point when the X-ray image set is finally generated as Tb, and the time point when the baggage claimer picks up the luggage as Tc;

[0029] The data storage module is used to store image information sent by the image acquisition terminal and the X-ray security inspection device;

[0030] The data association module includes a first association unit, a second association unit and a third association unit;

[0031] The first associating unit is used to generate first associating data associating the passenger facial image information A1 with the luggage external image information A2;

[0032] The second associating unit is used to generate second associated data associating the passenger facial image information A1, the luggage external image information A2 and the X-ray image information A3;

[0033] The third associating unit is used to generate third associated data associating the baggage claiming person's facial image information B1 with the baggage external image information a2;

[0034] The data processing module is used to analyze and identify contraband in the luggage X-ray image information A3, send the marked X-ray image information to the display, and trigger the sound and light alarm according to the situation of the contraband;

[0035] The data processing module is further used to analyze and compare the first associated data and the third associated data, and if the associated data information is inconsistent, the sound and light alarm is triggered.

[0036] Furthermore, the X-ray security inspection device also includes a temperature detector for detecting the body temperature of passengers passing through security inspection, and the temperature detector is connected to the sound and light alarm.

[0037] Furthermore, there are three sound and light alarms, which correspond to a contraband alarm, a luggage error alarm and a body temperature alarm.

[0038] Compared with the prior art, the present invention has the following advantages:

[0039] The present invention adds a person-bag automatic association function based on the traditional X-ray security inspection function, and binds the luggage with its owner through image association technology, thereby helping security inspection staff to implement security inspection work more quickly and effectively.

[0040] When the checked passenger places the luggage on the X-ray security scanner, the image of the person will be collected in real time, and then the luggage will be scanned with X-rays. The background will bind the personnel information at this stage with the luggage X-ray image, and store the data while matching the X-ray visible image of the luggage scan with the passengers who have passed the security check. When the background analysis server identifies contraband or dangerous goods, the security inspectors can find the passengers carrying contraband or dangerous goods more quickly. At the same time, the address information of the data storage space and the external image information of the luggage are used as the association intermediary to associate and store the data information between the passengers and the luggage, so that it is easy to retrieve, view, and query the X-ray visible image of the luggage that has passed the security check, as well as the passenger information and image information with the luggage through image tracing. The process is convenient and intuitive, and it is easy to trace and view.

[0041] The security inspection device of the present invention adopts a convolutional neural network structure. After a large amount of image data is recognized, an artificial intelligence recognition model is established to automatically distinguish prohibited items in luggage. The security inspection device of the present invention can automatically detect, identify, and prompt prohibited or limited items such as guns, bullets, knives, scissors, liquids, pressure vessels, and power banks, thereby improving security inspection efficiency and reducing the workload of image recognition personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a flow chart of the X-ray security inspection method based on multi-camera fusion of the present invention;

[0043] Figure 2 A flowchart for identifying contraband;

[0044] Figure 3 A comparison chart of identification marks for contraband;

[0045] Figure 4 This is a schematic diagram of the baggage error identification and warning process;

[0046] Figure 5 It is a schematic diagram of an X-ray security inspection device based on multi-camera fusion according to the present invention;

[0047] Figure 6 It is a schematic block diagram of the structure of the analysis server in the present invention. DETAILED DESCRIPTION

[0048] The technical solutions in the embodiments of the present invention will be clearly and completely described below in combination with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0049] Example 1

[0050] like Figure 1 As shown, an X-ray security inspection method based on multi-camera fusion, the specific steps are as follows:

[0051] S1. When the passenger places the luggage into the X-ray security scanner at time Ta, the infrared sensor is triggered to detect that the luggage is placed. The first image acquisition terminal A at the security entrance acquires the image information of the passenger and the luggage at time Ta, captures the passenger's facial image information A1 and the luggage's external image information A2, and sends an information storage request.

[0052] S2. The analysis server receives a storage request from the first image acquisition terminal A, establishes a data storage space corresponding to the time point Ta, stores the time point information and generates address information of the data storage space, stores the passenger facial image information A1 and the luggage external image information A2, and generates first association data associated with the passenger and the luggage;

[0053] S3, the X-ray security scanner scans the luggage and obtains X-ray image information A3 of the luggage within the time period from Ta to Tb, where Tb is the final generation time of the X-ray image set;

[0054] S4. The analysis server receives the storage request from the X-ray security scanner, obtains the address information of the data storage space corresponding to Ta, stores the X-ray image information A3 of the luggage into the data storage space, and generates second associated data associating the passenger facial image information A1, the luggage external image information A2 and the X-ray image information A3;

[0055] In this process, the address information of the data storage space is selected as the association medium, and the passenger facial image information A1, the luggage external image information A2 and the X-ray image information A3 are associated to form the second associated data.

[0056] Association basis: fixed time difference. The rolling speed of the security scanner conveyor belt is fixed, so the time difference from the luggage being put in to the generation of X-ray image information is fixed, that is, (Tb-Ta). Therefore, the X-ray image set generated within this time difference is associated with the luggage, and the person-bag association is realized based on this.

[0057] Identification and early warning of prohibited items:

[0058] like Figure 2 As shown:

[0059] S5. The analysis server identifies the prohibited items in the luggage through the X-ray image information A3, marks the prohibited items in the X-ray image, determines the level of the prohibited items in the luggage, triggers an alarm of the corresponding level according to the level of the prohibited items, associates the marked X-ray image with the passenger's facial image, and sends it to the background display for display;

[0060] The analysis server adopts a convolutional neural network structure, and after recognizing a large amount of image data, an artificial intelligence recognition model is established to identify the prohibited items in the luggage through comparison;

[0061] like Figure 3 As shown, by comparing the X-ray visible image of the luggage, the prohibited items or dangerous goods in the X-ray visible image of the luggage are identified, and different prohibited items or dangerous goods are marked with rectangular frames and labels of different colors, and the marked X-ray visible image is displayed on the display for display.

[0062] Baggage error identification and warning

[0063] like Figure 4 As shown:

[0064] S6, the baggage claimer at the security check exit claims the baggage at time Tc, the second image acquisition terminal B collects the baggage picture information, the picture information including the baggage claimer and the baggage, and captures the baggage claimer's facial image information B1 and the baggage external image information a2;

[0065] Specifically, based on the difference ΔT between the time point Tc and the time point Ta, the facial image information B1 of the baggage claim person is determined:

[0066] A threshold is set according to the transmission speed of the X-ray security scanner. If the difference △T is less than the set threshold, it is considered that the facial image of the baggage claim person collected has the highest correlation with the luggage, and the corresponding facial image is used as the facial image information B1 of the baggage claim person. If the difference △T is greater than the set threshold, all picture information containing the baggage claim person and the luggage at time point Tc is collected, and the corresponding facial image is captured as the facial image B1 information of the baggage claim person.

[0067] Since the rolling speed of the X-ray security inspection instrument conveyor belt is fixed, the time difference from the luggage being put in to the generation of the X-ray image information is fixed. Based on this time difference plus the reserved time for passengers to pick up their luggage, a reasonable threshold range is set. If the difference △T between the time point Tc and the time point Ta is less than the set threshold, it is judged that the current luggage is picked up by the person picking up the luggage in time, and it is considered that the facial image of the person picking up the luggage collected at this time has the highest correlation with the luggage, and the corresponding facial image is used as the facial image information B1 of the person picking up the luggage; if the difference △T is greater than the set threshold, it is judged that the current passenger being inspected is delayed, so that he or she cannot pick up the luggage in time. At this time, in order to avoid the delayed passengers being concentrated at the security checkpoint to pick up their luggage, which makes it difficult to determine the passenger with the maximum correlation, all picture information containing the person picking up the luggage and the luggage at the time point Tc is collected, and the corresponding facial image is captured as the facial image B1 information of the person picking up the luggage.

[0068] S7, the analysis server receives the storage request from the second image acquisition terminal B, obtains the address information of the data storage space corresponding to Ta, stores the time point information, the facial image information B1 of the baggage claimer and the external image information a2 of the luggage, generates the third associated data associated with the baggage claimer and the luggage, and compares the third associated data with the first associated data;

[0069] If the third associated data does not match the image information of the first associated data, an alarm is triggered.

[0070] In this process, the luggage external image information is selected as the association medium, and the first association data including the passenger facial image information A1 and the luggage external image information A2 is associated and compared with the third association data including the luggage claimer facial image information B1 and the luggage external image information a2.

[0071] When analyzing and comparing the first associated data and the third associated data, the luggage external image information a2 is consistent with the luggage external image information A2. If the luggage claim person's facial image information B1 is inconsistent with the passenger's facial image information A1 or is not matched with the luggage claim person's facial image information B1, it is considered that the passenger has taken the wrong luggage or missed it, and an alarm is issued.

[0072] Example 2

[0073] like Figure 5 As shown, an X-ray security inspection device based on multi-camera fusion includes a first image acquisition terminal A, an X-ray security inspection instrument, a second image acquisition terminal B, an analysis server, a display and an audible and visual alarm;

[0074] The X-ray security scanner is used to generate X-ray image information A3. An infrared sensor is provided at the entrance of the X-ray security scanner to detect the placement of passenger luggage and trigger the image acquisition terminal and the X-ray security scanner to work;

[0075] The first image acquisition terminal A is used to capture the image information of the passenger and the luggage when the luggage is placed in the X-ray security scanner at time point Ta, and to capture the passenger's facial image information A1 and the luggage's external image information A2;

[0076] The second image acquisition terminal B is used to capture the image information of the baggage claim person and the luggage at the security check exit at the time point Tc, and to capture the facial image information B1 of the baggage claim person and the external image information a2 of the luggage;

[0077] like Figure 6 As shown, the analysis server includes a preprocessing module, a data storage module, a data association module and a data processing module;

[0078] The pre-processing module is used to receive a storage request, generate a corresponding data storage space and record the time point when the luggage is placed in the X-ray security scanner as Ta, the time point when the X-ray image set is finally generated as Tb, and the time point when the baggage claimer picks up the luggage as Tc;

[0079] The data storage module is used to store image information sent by the image acquisition terminal and the X-ray security inspection device;

[0080] The data association module includes a first association unit, a second association unit and a third association unit;

[0081] The first associating unit is used to generate first associating data associating the passenger facial image information A1 with the luggage external image information A2;

[0082] The second associating unit is used to generate second associated data associating the passenger facial image information A1, the luggage external image information A2 and the X-ray image information A3;

[0083] The third associating unit is used to generate third associated data associating the baggage claiming person's facial image information B1 with the baggage external image information a2;

[0084] The data processing module is used to analyze and identify contraband in the luggage X-ray image information A3, send the marked X-ray image information to the display, and trigger the sound and light alarm according to the situation of the contraband;

[0085] The data processing module is further used to analyze and compare the first associated data and the third associated data, and if the associated data information is inconsistent, the sound and light alarm is triggered.

[0086] In the present invention, the X-ray security inspection device further comprises a temperature detector for detecting the body temperature of passengers passing through the security inspection, and the temperature detector is connected to the sound and light alarm.

[0087] Specifically, there are three sound and light alarms, which correspond to a contraband alarm, a luggage error alarm and a body temperature alarm.

[0088] The analysis server controls the operation of the corresponding contraband alarm, luggage error alarm or body temperature alarm according to the analysis results.

[0089] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An X-ray security inspection method based on multi-camera fusion, characterized in that: The specific steps are as follows: S1. When the passenger places the luggage into the X-ray security scanner at time Ta, the infrared sensor is triggered to detect that the luggage is placed. The first image acquisition terminal A at the security entrance collects the image information of the passenger and the luggage at time Ta, captures the passenger's facial image information A1 and the luggage's external image information A2, and sends an information storage request; S2. The analysis server receives a storage request from the first image acquisition terminal A, establishes a data storage space corresponding to the time point Ta, stores the time point information and generates address information of the data storage space, stores the passenger facial image information A1 and the luggage external image information A2, and generates first association data associated with the passenger and the luggage; S3, the X-ray security scanner scans the luggage and obtains X-ray image information A3 of the luggage within the time period from Ta to Tb, where Tb is the final generation time of the X-ray image set; S4. The analysis server receives the storage request from the X-ray security scanner, obtains the address information of the data storage space corresponding to Ta, stores the X-ray image information A3 of the luggage into the data storage space, and generates second associated data associating the passenger facial image information A1, the luggage external image information A2 and the X-ray image information A3; S5. The analysis server identifies the prohibited items in the luggage through the X-ray image information A3, marks the prohibited items in the X-ray image, determines the level of the prohibited items in the luggage, triggers an alarm of the corresponding level according to the level of the prohibited items, associates the marked X-ray image with the passenger's facial image, and sends it to the background display for display; S6, the baggage claimer at the security check exit claims the baggage at time Tc, the second image acquisition terminal B collects the baggage picture information, the picture information including the baggage claimer and the baggage, and captures the baggage claimer's facial image information B1 and the baggage external image information a2; S7, the analysis server receives the storage request from the second image acquisition terminal B, obtains the address information of the data storage space corresponding to Ta, stores the time point information, the facial image information B1 of the baggage claimer and the external image information a2 of the luggage, generates the third associated data associated with the baggage claimer and the luggage, and compares the third associated data with the first associated data; If the third associated data does not match the image information of the first associated data, an alarm is triggered; In step S6, based on the difference ΔT between the time point Tc and the time point Ta, the facial image information B1 of the baggage claim person is determined: A threshold is set according to the transmission speed of the X-ray security scanner. If the difference △T is less than the set threshold, it is considered that the collected facial image information B1 of the baggage claim person has the highest correlation with the baggage, and the corresponding facial image is used as the facial image information B1 of the baggage claim person. If the difference △T is greater than the set threshold, all the picture information containing the baggage claim person and the luggage at the time point Tc is collected, and the corresponding facial image is captured as the facial image information B1 of the baggage claim person; Using the address information of the data storage space as an association medium, the passenger facial image information A1, the luggage external image information A2 and the X-ray image information A3 are associated to form second associated data; Using the luggage external image information as an association medium, the first association data including the passenger facial image information A1 and the luggage external image information A2 is associated and compared with the third association data including the luggage claimer facial image information B1 and the luggage external image information a2; When analyzing and comparing the first associated data and the third associated data, the luggage external image information a2 is consistent with the luggage external image information A2. If the luggage claim person's facial image information B1 is inconsistent with the passenger's facial image information A1 or is not matched with the luggage claim person's facial image information B1, it is considered that the passenger has taken the wrong luggage or missed it, and an alarm is issued.

2. The X-ray security inspection method based on multi-camera fusion according to claim 1 is characterized in that: The analysis server adopts a convolutional neural network structure, and after recognizing a large amount of image data, an artificial intelligence recognition model is established to identify the prohibited items in the luggage through comparison; By comparing the X-ray visible image of the luggage, the prohibited items or dangerous goods in the X-ray visible image of the luggage are identified, and different prohibited items or dangerous goods are marked with rectangular frames and labels of different colors, and the marked X-ray visible image is displayed on the display.

3. An X-ray security inspection device based on a multi-camera fusion X-ray security inspection method according to any one of claims 1-2, characterized in that: It includes a first image acquisition terminal A, an X-ray security inspection device, a second image acquisition terminal B, an analysis server, a display and an audible and visual alarm; The X-ray security scanner is used to generate X-ray image information A3. An infrared sensor is provided at the entrance of the X-ray security scanner to detect the placement of passenger luggage and trigger the image acquisition terminal and the X-ray security scanner to work; The first image acquisition terminal A is used to capture the image information of the passenger and the luggage when the luggage is placed in the X-ray security scanner at time point Ta, and to capture the passenger's facial image information A1 and the luggage's external image information A2; The second image acquisition terminal B is used to capture the image information of the baggage claim person and the luggage at the security check exit at the time point Tc, and to capture the facial image information B1 of the baggage claim person and the external image information a2 of the luggage; The analysis server comprises a preprocessing module, a data storage module, a data association module and a data processing module; The pre-processing module is used to receive a storage request, generate a corresponding data storage space and record the time point when the luggage is placed in the X-ray security scanner as Ta, the time point when the X-ray image set is finally generated as Tb, and the time point when the baggage claimer picks up the luggage as Tc; The data storage module is used to store image information sent by the image acquisition terminal and the X-ray security inspection device; The data association module includes a first association unit, a second association unit and a third association unit; The first associating unit is used to generate first associating data associating the passenger facial image information A1 with the luggage external image information A2; The second associating unit is used to generate second associated data associating the passenger facial image information A1, the luggage external image information A2 and the X-ray image information A3; The third associating unit is used to generate third associated data associating the baggage claiming person's facial image information B1 with the baggage external image information a2; The data processing module is used to analyze and identify contraband in the luggage X-ray image information A3, send the marked X-ray image information to the display, and trigger the sound and light alarm according to the situation of the contraband; The data processing module is further used to analyze and compare the first associated data and the third associated data, and if the associated data information is inconsistent, the sound and light alarm is triggered.

4. The X-ray security inspection device according to claim 3, characterized in that: The X-ray security inspection device also includes a temperature detector for detecting the body temperature of passengers passing through the security inspection, and the temperature detector is connected to the sound and light alarm.

5. The X-ray security inspection device according to claim 4, characterized in that: There are three sound and light alarms, which correspond to a prohibited goods alarm, a luggage error alarm and a body temperature alarm.

Images