CN114160447B

CN114160447B - Early machine inspection system and method

Info

Publication number: CN114160447B
Application number: CN202111380942.3A
Authority: CN
Inventors: 李新; 袁叙伟
Original assignee: Sinocloud Wisdom Beijing Technology Co Ltd
Current assignee: Sinocloud Wisdom Beijing Technology Co Ltd
Priority date: 2021-11-20
Filing date: 2021-11-20
Publication date: 2024-02-06
Anticipated expiration: 2041-11-20
Also published as: CN114160447A

Abstract

The application relates to a system and a method for early machine inspection, which belong to the technical field of safety inspection, wherein the system comprises: the first image acquisition module is used for acquiring an machine inspection image of the luggage; the image classification module is used for classifying the machine inspection images and outputting classification instructions; the baggage sorting module is used for sorting the baggage based on the sorting instruction and obtaining normal baggage and problem baggage; the mark sealing module is used for receiving the problem luggage and sealing the problem luggage; the luggage identification module is used for identifying the sealed problem luggage and generating an identification result; and the alarm module is used for generating alarm information based on the identification result. The automatic luggage sorting and marking device has the advantages that automatic sorting, marking and interception are carried out on luggage needing to be checked in an unpacking mode, and therefore the overall clearance efficiency of passengers is improved.

Description

Early machine inspection system and method

Technical Field

The application relates to the technical field of safety detection, in particular to a system and a method for early machine detection.

Background

At present, with the continuous enhancement of external communication and cooperation between countries, international trade development is faster and faster; in addition, international travel across the country is more frequent, and a large number of passengers enter and exit every day, and some passengers may carry forbidden articles, so that checking baggage of the entering and exiting passengers is an important measure.

Most of the existing inspection methods adopt a traditional mode, namely, after the baggage is carried down from an airplane, the baggage is simply sorted and conveyed to a baggage turntable and then extracted by passengers; the exit is checked by an X-ray machine, and the operator beside the X-ray machine manually judges the exit, and unpacks and checks the illegal objects. By means of the method, workers cannot easily distinguish luggage carrying forbidden articles, check the luggage one by one and then check the luggage in an open box, and therefore efficiency is low.

Disclosure of Invention

In order to reduce difficulty in distinguishing problem luggage and normal luggage by staff and improve passing efficiency, the application provides a system and a method for early machine inspection.

In a first aspect, the present application provides a pre-machine inspection system, which adopts the following technical scheme:

a lead machine inspection system, comprising:

the first image acquisition module is used for acquiring an machine inspection image of the luggage;

the input end of the image classification module is connected with the output end of the first image acquisition module and is used for classifying the machine inspection images and outputting classification instructions;

and the input end of the baggage sorting module is connected with the output end of the image sorting module and is used for sorting the baggage based on the sorting instruction and obtaining normal baggage and problem baggage.

The mark sealing module is used for receiving the problem luggage and sealing the problem luggage;

the luggage identification module is used for identifying the sealed problem luggage and generating an identification result;

and the input end of the alarm module is connected with the output end of the luggage identification module and is used for generating alarm information based on the identification result.

Through adopting above-mentioned technical scheme, first image acquisition module acquires the machine inspection image of luggage, then sends the image to image classification module, and image classification module judges the machine inspection image of receipt, according to judging result output corresponding classification instruction, then luggage sorting module sorts the luggage according to the classification instruction received, divides into two categories of problem luggage and normal luggage. The identification sealing module seals the problem baggage transmitted by the sorting module, the identification sealing module transmits the sealed baggage to the baggage identification module, the baggage identification module identifies the received baggage and judges whether the received baggage is the problem baggage, if not, the baggage identification module normally passes, otherwise, the identification result is transmitted to the alarm module, and the alarm module generates alarm information after receiving the identification result, so that staff is reminded, through the process, the difficulty of distinguishing the baggage is reduced, the workload is reduced, and the clearance efficiency is improved.

Preferably, the method further comprises:

the luggage scanning module is used for reading luggage bars preset on the luggage case and acquiring passenger information, wherein the passenger information comprises an initial face image;

and the baggage binding module is used for carrying out association binding on the initial face image and the machine inspection image.

By adopting the technical scheme, the luggage scanning module acquires the passenger information by scanning the luggage strips, wherein the passenger information comprises an initial face image, a name and the like of the passenger; the baggage binding module then performs an associative binding of the obtained initial face image with the previously obtained machine check image. Therefore, the binding of the problem luggage and the passengers is realized, the subsequent problem luggage interception is convenient, and the working efficiency is improved.

Preferably, the method further comprises:

and the luggage adjusting module is used for adjusting the distance and the posture of the luggage.

Through adopting above-mentioned technical scheme, after the luggage was unloaded from the aircraft, the luggage is more chaotic, also needs to adjust luggage gesture before sealing, is convenient for seal, and luggage adjustment module carries out the roll adjustment to the luggage that has been unloaded at first to avoid as far as possible because luggage mixes when leading to first image acquisition module to acquire the luggage image together, the possibility that the inaccurate condition takes place for luggage image acquisition. And adjust the gesture to the luggage, can be with the luggage centering, be convenient for seal to the step below can be better execution, work efficiency is improved.

Preferably, the method further comprises:

a second image acquisition module for acquiring a first row Li Tuxiang of the problem baggage;

a face image acquisition module, configured to acquire the initial face image corresponding to the first row Li Tuxiang as a first face image;

the face image recognition module is used for acquiring a second face image of the passenger;

the first image judging module is connected with the output end of the face image identifying module at one input end and the face image acquiring module at the other input end, and is used for judging whether the second face image is matched with the first face image or not and obtaining a first matching result;

and the input end of the first warning module is connected with the output end of the first image judging module, and the first warning module is used for outputting first warning information when the first matching result is successful.

By adopting the technical scheme, firstly, the second image acquisition module acquires the first line Li Tuxiang of the problem luggage and sends the first luggage image to the identification verification module, then the face image acquisition module acquires the initial face image corresponding to the first line Li Tuxiang as the first face image and sends the first face image to the first image judgment module, and the face image recognition module acquires the second face image of the passenger taking the luggage to leave and sends the second face image to the first image judgment module. The first image judging module is used for matching the second face image with the first face image, judging whether the first face image is matched with the second face image or not, and obtaining a first matching result.

When the first matching result is successful, the passengers associated with the problem baggage are proved to be found, and at the moment, the first warning module outputs warning information to prompt staff, so that the passengers bound with the problem baggage can be accurately intercepted, and the recognition effect is improved.

Preferably, the baggage recognition module includes:

a third image acquisition module for acquiring a second baggage image of the baggage;

and the input end of the second image judging module is connected with the third image acquisition module and is used for judging whether the second luggage image contains the sealed customs supervision pipe band or not, and obtaining and outputting a judging result.

By adopting the technical scheme, the third image acquisition module acquires the second luggage image of the luggage and sends the second luggage image to the second image judgment module. And the second image judging module judges whether the second luggage image contains a customs supervision pipe or not, and obtains and outputs a judging result. Therefore, the problem baggage can be identified, the identification accuracy is improved, and the possibility of missed detection of the problem baggage is reduced.

Preferably, the baggage recognition module further includes:

the identification verification module is provided with one input end connected with the output end of the second image judgment module, and the other input end connected with the third image acquisition module, and is used for judging whether the second luggage image is matched with the first line Li Tuxiang or not and obtaining a second matching result when the judgment result is yes;

and the input end of the second warning module is connected with the output end of the identification verification module, and the second warning module is used for outputting second warning information when the judging result and the second matching result are both yes.

By adopting the above technical scheme, when the determination result is yes, it is determined whether the second baggage image and the first line Li Tuxiang are matched based on the received second baggage image and the first line Li Tuxiang, and a second matching result is obtained.

And outputting second alarm information when the judging result and the second matching result are both yes. Therefore, the identification result of the custom made customs supervision band can be verified, and the false alarm rate is reduced.

Preferably, the method further comprises:

the output end of the video shooting module is connected with a network communication module, and the video shooting module is used for shooting the problem baggage after the problem baggage is identified, generating an evidence video and sending the evidence video to the network communication module;

and the network communication module is used for sending the evidence video to the terminal.

Through adopting above-mentioned technical scheme, after discernment problem luggage, the video shooting module can take a photograph the problem luggage and make a video recording, generates evidence video recording to can send through network communication module, the user can receive and store the evidence video recording through equipment such as terminal, thereby provides support for subsequent verification.

On the other hand, the application provides a method for early machine inspection, which adopts the following technical scheme:

a method of advanced machine inspection, comprising:

acquiring an machine inspection image of the luggage;

classifying the machine inspection images and outputting classification instructions;

sorting the baggage based on the sorting instruction and obtaining normal baggage and problematic baggage.

Sealing the problem baggage;

identifying the sealed problem baggage and generating an identification result;

and generating alarm information based on the identification result.

Through adopting above-mentioned technical scheme, after the luggage is unloaded from the aircraft, obtain the machine inspection image of luggage when passing through the X ray apparatus, after sending the machine inspection image to concentrated judgement picture platform, the platform judges the machine inspection image and exports corresponding classification instruction, carries out classification according to the classification instruction obtained, carries out classification processing to the luggage of coming, divides into normal luggage and problem luggage to reduce work load, improve work efficiency.

After sorting is finished, the problem baggage is sealed, when the passenger extracts the problem baggage to be ready to leave, the passenger carrying the problem baggage and the problem baggage are identified and judged, an identification result is generated, when the identification result is normal baggage, the passenger is normally passed, if the identification result is the problem baggage, alarm information is generated, staff is reminded, and the problem baggage carrying forbidden articles is prevented from leaving a customs as much as possible, so that potential safety hazards are caused.

Preferably, the obtaining normal baggage and problem baggage further comprises:

acquiring a first row Li Tuxiang of the problem baggage;

acquiring the initial face image corresponding to the first row Li Tuxiang as a first face image;

acquiring a second face image of the passenger;

judging whether the second face image is matched with the first face image or not, and obtaining a first matching result;

and outputting first alarm information when the first matching result is that the matching is successful.

By adopting the technical scheme, after the problem baggage and the normal baggage are obtained, first line Li Tuxiang of the problem baggage is obtained, then an initial face image corresponding to first line Li Tuxiang is obtained as a first face image, then a second face image of a passenger is obtained, then whether the second face image is matched with the first face image is judged, and a first matching result is obtained.

And outputting first alarm information when the first matching result is that the matching is successful. Thereby remind the staff to carry passenger and problem luggage to the appointed region and carry out the unpacking examination, through this process, reduced the degree of difficulty of distinguishing the luggage, reduced work load, improved clearance efficiency.

In summary, the present application includes the following beneficial technical effects:

1. the method comprises the steps that a machine inspection image is acquired through a first image acquisition module, then the machine inspection image is classified by an image classification module, then the baggage is classified by a baggage classification module according to classification instructions output by the image classification module, normal baggage and problem baggage are obtained, then the problem baggage is sealed by a baggage sealing module, the problem baggage subjected to sealing is identified by a baggage identification module, and after the problem baggage is identified, alarm information is generated by an alarm module. The problem baggage is sealed, and the problem baggage is identified at the outlet, so that the difficulty of distinguishing the problem baggage from the normal baggage can be greatly reduced, the normal baggage and the problem baggage can be well distinguished, the complexity of baggage inspection is reduced, the problem baggage with forbidden articles can be prevented from being brought out of customs, the situation that waiting time is too long can be avoided as much as possible, and the passing efficiency is improved.

Drawings

FIG. 1 is a block diagram of the overall structure of a pre-machine inspection system provided in an embodiment of the present application;

FIG. 2 is a block diagram of a structure for baggage binding in one embodiment of the present application;

FIG. 3 is a block diagram of the line Li Diaozheng module in one embodiment of the present application;

FIG. 4 is a block diagram of a face recognition architecture in one embodiment of the present application;

FIG. 5 is a block diagram of a system for determining whether there is a customs supervision strip in a second baggage image according to one embodiment of the present application;

FIG. 6 is a block diagram of a structure for identification verification in one embodiment of the present application;

FIG. 7 is a block diagram of a structure for performing evidence video shooting and storing in one embodiment of the present application;

FIG. 8 is a schematic overall flow chart of a method for pre-machine inspection provided in the present application;

fig. 9 is a detailed flow chart of the baggage recognition and interception in the advanced screening method provided in the present application.

Reference numerals illustrate:

1. a first image acquisition module; 2. an image classification module; 3. a baggage sorting module; 4. marking a sealing module; 5. a baggage identification module; 6. an alarm module; 7. a baggage scanning module; 8. a baggage binding module; 9. a luggage adjustment module; 10. a second image acquisition module; 11. a face image acquisition module; 12. a face image recognition module; 13. a first image judgment module; 14. a first warning module; 15. a third image acquisition module; 16. a second image judgment module; 17. an identification verification module; 18. a second warning module 19 and a video shooting module; 20. and a network communication module.

Detailed Description

The present application is described in further detail below in conjunction with figures 1-9.

The embodiment of the application discloses a system for early machine inspection.

Referring to fig. 1, the advanced machine inspection system includes:

a first image acquisition module 1 for acquiring an machine inspection image of a baggage;

the image classification module 2 is used for classifying the machine inspection images and outputting classification instructions;

the baggage sorting module 3 sorts baggage based on sorting instructions and obtains normal baggage and problematic baggage.

The mark sealing module 4 is used for receiving the problem luggage and sealing the problem luggage;

the luggage identification module 5 is used for identifying the sealed problem luggage and generating an identification result;

and the alarm module 6 is used for generating alarm information based on the identification result.

When the luggage is released from the airplane and put on the luggage line, the luggage is transported by the conveyor belt, and when the luggage passes through the X-ray machine, the first image acquisition module 1 acquires an image of the luggage, wherein the image of the luggage taken by the X-ray machine mainly shows whether the luggage has forbidden articles or not.

The first image acquisition module 1 sends the acquired machine inspection image to the image classification module 2, and after the image classification module 2 receives the machine inspection image, the baggage is classified into two categories by judging whether forbidden articles exist in the baggage, if forbidden articles exist, the baggage is classified into problem baggage, otherwise, the baggage is normal baggage.

The separation process of the image classification module 2 may be screening by manual selection, where the image classification module 2 transmits the received machine inspection image to a display, and then manually determines whether there are forbidden articles in the machine inspection image. If yes, selecting a corresponding machine inspection image and classifying the machine inspection image as a problem luggage picture, and if not, selecting the corresponding machine inspection image and classifying the machine inspection image as a normal luggage picture. And then outputting a classification instruction according to the problem luggage picture and the normal luggage picture.

Meanwhile, the centralized picture-examining system identifies face image information of the passenger corresponding to the baggage classified as the problem baggage in the machine-check image.

The baggage sorting module 3 sorts the baggage according to the received sorting instructions, and for problem baggage the baggage sorting module 3 sorts it onto a further line, which may be a spare line, for example. If the baggage is normal, the baggage sorting module 3 does not sort the baggage, and normally passes to the baggage carousel for extraction by the passenger. Thereby reduce the part of manual sorting, raise the efficiency, use manpower sparingly.

When the baggage is determined to be a problem baggage to be sorted to a standby line, the marking and sealing module 44 seals the transported problem baggage, and the sealing may be performed by winding a customs supervision pipe belt specially made by customs around the baggage box, and the process is completed by a fully automatic unattended packer, and after the sealing is completed, the conveyor belt conveys the sealed problem baggage to the position of the baggage identification module 5.

The baggage recognition module 5 recognizes the transmitted baggage, the baggage recognition module 5 acquires an image of the baggage, and judges whether the acquired image is related to a customs supervision zone based on an image algorithm, if not, the acquired recognition result is normal baggage, otherwise, the recognition result is problematic baggage. The baggage recognition module 5 then sends the recognition result to the alarm module 6.

After receiving the identification result, the alarm module 6 generates an alarm prompt, and the prompt can have different forms, such as short buzzing and flashing red lights, so that the problem baggage is obviously prompted, the problem baggage and the normal baggage are conveniently distinguished, and the prompt is timely identified, so that staff is prompted to be the problem baggage, and the baggage with forbidden articles is prevented from being taken away from customs, so that safety problems and potential safety hazards are brought. If the baggage is green, the baggage is proved to be normal baggage, and the baggage can normally leave the security inspection port.

In another embodiment, prior to row Li Shibie, a baggage binding is required to facilitate execution of a subsequent scenario, and referring to FIG. 2, the baggage binding process is essentially accomplished by the following modules:

the luggage scanning module 7 is used for reading luggage bars preset on the luggage case and acquiring an initial face image;

and the baggage binding module 8 is used for carrying out association binding on the initial face image and the machine inspection image.

Wherein the output of the baggage scanning module 7 is electrically connected to the input of the baggage binding module 8.

After the luggage is detached from the airplane, the luggage passes through the luggage scanning module 7, and the luggage scanning module 7 acquires passenger information by scanning luggage bars, wherein the luggage bars are marking bars fixed on the luggage when the luggage bars are used for luggage consignment, and the marking bars are provided with bar codes or two-dimensional codes, so that the passenger information can be acquired by reading the bar codes or the two-dimensional codes. The passenger information comprises an initial face image, a name and the like of the passenger, the baggage scanning module 7 can be a code scanning device, and then the initial face image is sent to the baggage binding module 8; the baggage binding module 8 is used for binding the received machine check image and the initial face image in a correlated mode, and binding the baggage and passengers, so that the belongings of the baggage can be determined rapidly when the problem baggage is detected, and the efficiency of searching the problem baggage and the belongings is improved.

Further, in order to improve accuracy of machine inspection image acquisition and make the process of sealing the baggage more stable, referring to fig. 3, in another embodiment, the machine inspection system further includes the following modules:

a luggage adjustment module 9 for adjusting the distance and posture of the luggage.

Before the luggage is subjected to the acquisition of the machine inspection image through an X-ray machine, the luggage adjusting module 9 adjusts the distance between the luggage, so that the situation that the acquired machine inspection image is not clear enough or disordered is avoided, the work of a subsequent module is affected, the distance adjustment is mainly completed by a distance adjusting device on a conveyor belt, the distance adjusting device consists of a sector laser scanner and a distance adjusting belt, when the luggage is detected, the laser distance meter emits sector distance measuring laser from top to bottom, the distance between the luggage is measured, the distance adjusting belt adjusts the distance, the rotation speed of the distance adjusting belt can be adjusted according to the measured distance between the luggage, and then the distance between the conveyor belt and the luggage on the distance measuring belt can be changed, so that the distance between two adjacent pieces of luggage is relatively fixed.

After the X-ray machine is used, the problem baggage is required to be sealed, because some baggage may have a skew angle, the angle of the problem baggage can be adjusted through adjusting equipment or a manipulator arranged on two sides of the conveyor belt, the adjusting mode can be that an image of the baggage is obtained, then whether the angle of the baggage in the image is identical with a preset angle or not is judged based on an image algorithm, and if the angle of the baggage is different from the preset angle, an adjusting instruction is output to control the manipulator to adjust the baggage to the preset angle. The follow-up sealing can be facilitated, so that the problem baggage can be sealed more accurately, and the efficiency is improved.

Further, after the baggage and the passenger are associated, further inspection is required in order to further improve the accuracy of the security check. Specifically, referring to fig. 4, in another embodiment, further comprising:

a second image acquisition module 10 for acquiring a first row Li Tuxiang of problem baggage;

a face image acquiring module 11, configured to acquire an initial face image corresponding to the first line Li Tuxiang as a first face image;

a face image recognition module 12, configured to acquire a second face image of the passenger;

the first image judging module 13, one input end is connected with the output end of the face image identifying module 12, and the other input end is connected with the face image acquiring module 11, and is used for judging whether the second face image is matched with the first face image or not and obtaining a first matching result;

the input end of the first warning module 14 is connected with the output end of the first image judging module 13, and is used for outputting first warning information when the first matching result is successful.

One input end of the first image judging module 13 is electrically connected with the output end of the face image identifying module 12, the other input end of the first image judging module 13 is connected with the face image acquiring module 11, and the output end of the first image judging module 13 is electrically connected with the input end of the first warning module 14.

After the line Li Fenlei is completed, the second image acquisition module 10 acquires the first line Li Tuxiang of the problematic piece of luggage, and the face image acquisition module 11 acquires the initial face image corresponding to the first line Li Tuxiang as the first face image, that is, acquires the face image identified in the line Li Tiao fixed to the problematic piece of luggage, and takes the face image as the first face image; when the passenger leaves the baggage, the face image recognition module 12 acquires a face image of the passenger, that is, acquires a second face image, and sends the second face image to the first image judgment module 13. The first image judging module 13 receives the first face image sent by the face image obtaining module 11, matches the second face image with the first face image, judges whether the second face image and the first face image are successfully matched, and obtains a first matching result.

If the first match is successful, it is indicated that the captured passenger is the passenger associated with the problematic baggage, thus proving the existence of a security risk. At this time, the first warning module 14 receives the first matching result and outputs warning information to remind the staff that the passenger associated with the problematic baggage will pass through the passage opening.

Meanwhile, the alarm information can be an audible alarm or a lamplight alarm, or both, such as a rapid buzzing alarm or a rapid flashing red light. The problem baggage can be identified in time, all passenger baggage does not need to be checked, long-time waiting is avoided, and passing efficiency is improved.

Further, referring to fig. 5, the baggage recognition module 5 includes the following modules:

a third image acquisition module 15 for acquiring a second baggage image of the baggage;

and the second image judging module 16, the input end of which is connected with the third image obtaining module 15, is used for judging whether the second luggage image contains the customs special customs supervision bands, and obtaining and outputting the judging result.

Wherein the output end of the third image acquisition module 15 is electrically connected with the input end of the second image judgment module 16.

When the passenger leaves the turntable with baggage, first the third image acquisition module 15 acquires a second baggage image of the baggage and sends it to the second image judgment module 16, and when it is recognized that the problematic baggage contains a customs supervision zone, the second image judgment module 16 acquires and outputs a judgment result. The method provides support for reminding staff to intercept the problem baggage subsequently and bringing the problem baggage to a designated area for unpacking inspection.

The identification mode of the customs supervision bands can be that the second luggage image is compared with a preset image, the preset image contains the customs supervision bands, whether the second luggage image has a part matched with the customs supervision bands in the preset image or not is judged through an image algorithm, and if the second luggage image has the customs supervision bands, the second luggage image is proved to contain the customs supervision bands. Also, it is possible to check the second baggage image by a person and determine whether there is a customs supervision strip in the image.

Further, in order to reduce the false alarm rate, referring to fig. 6, the baggage recognition module 5 further includes:

the identification verification module 17, one input end of which is connected with the output end of the second image judging module 16, and the other input end of which is connected with the third image obtaining module 15, is used for judging whether the second luggage image is matched with the first line Li Tuxiang or not and obtaining a second matching result when the judging result is contained;

and the input end of the second warning module 18 is connected with the output end of the identification verification module 17, and is used for outputting second warning information when the judgment result and the second matching result are both yes.

One input end of the identification verification module 17 is electrically connected with the output end of the second image judgment module 16, the other input end of the identification verification module is electrically connected with the third image acquisition module 15, and the input end of the second warning module 18 is electrically connected with the output end of the identification verification module 17.

When the custom-made customs supervision bands on the baggage are successfully identified, there may be a problem of error in identification, so that the obtained second baggage image is matched with the first line Li Tuxiang, whether the second baggage image and the first line Li Tuxiang are matched is judged, and a judgment result is obtained. The judging mode can be judged by judging whether the appearance of the luggage is the same, whether the colors are the same, whether the sizes are the same or not, and the like.

When the judging result and the second matching result are both yes, namely, the baggage is proved to contain the monitoring band and is matched with the first line Li Tuxiang, the baggage is proved to be the problem baggage, and the second alarm information is output. Therefore, the identification result of the custom made customs supervision band can be verified, and the false alarm rate is reduced.

Further, for subsequent queries for evidence of problem baggage, referring to fig. 7, in another embodiment, the method further includes the following modules:

the video shooting module 19 is used for shooting the problem baggage after the problem baggage is identified, and generating an evidence video;

the network communication module 20 is configured to send the evidence record to the terminal.

After the problem baggage is identified, the video shooting module 19 may take a photograph of the problem baggage, generate an evidence record, send the evidence record to the network communication module 20, and then the network communication module 20 continues to send the evidence record to a terminal device, for example, a mobile phone or a tablet computer, and may receive and store the evidence record through the terminal device, thereby providing support for subsequent verification.

The implementation principle of the early machine inspection system in the embodiment of the application is as follows: firstly, acquiring an machine inspection image of the baggage, classifying the baggage according to the machine inspection image, outputting a classification instruction, sorting the baggage according to the classification instruction, sorting normal baggage and problem baggage, distributing and controlling the problem baggage and passengers corresponding to the problem baggage, associating a first face image with a first row Li Tuxiang, and sealing the problem baggage.

The method comprises the steps that a second face image of a passenger is obtained when the passenger takes baggage, the second face image of the passenger is obtained when the passenger extracts problematic baggage leaves, whether a first face image is matched with the second face image is judged, and when the first face image is matched with the second face image, a first matching result is output successfully; when the first face image and the second face image are not matched, outputting a first matching result as unsuccessful. When the matching result is unsuccessful, the passengers and the baggage normally pass, when the first matching result is successful, alarm information is output, meanwhile, a second baggage image of the baggage is obtained, whether the second baggage image contains a customs special customs supervision pipe band or not is judged, and when the customs special customs supervision pipe band is contained, a judging result is obtained and output.

In order to reduce the false alarm rate of customs supervision bands which are specially made for customs, judging whether the first line Li Tuxiang is matched with the second luggage image, and outputting a second matching result as yes when the first line Li Tuxiang is matched with the second luggage image; when the first line Li Tuxiang and the second baggage image do not match, a second match result is output as no. And when the second matching result is negative, the alarm information is false alarm, and when the second matching result is positive, the identification result of the problem luggage is correct, and the alarm information is output. Therefore, the management of the luggage is further enhanced, unnecessary trouble is reduced, the false alarm rate is reduced, and the clearance efficiency is improved.

The embodiment of the application discloses a pre-machine inspection method which achieves the same technical effects as the pre-machine inspection system.

Referring to fig. 8, the pre-machine inspection method includes:

s1, acquiring an machine inspection image of luggage;

s2, classifying based on the machine inspection image, and outputting a classification instruction;

s3, sorting the baggage based on the sorting instruction, and obtaining normal baggage and problematic baggage.

S4, receiving the problem baggage and sealing the problem baggage;

s5, identifying the baggage based on the sealing problem, and generating an identification result;

s6, generating alarm information based on the identification result.

Specifically, in the process of checking, firstly, the machine inspection image of the luggage to be checked is acquired, then the machine inspection image is separated, a classification instruction is output according to the classified machine inspection image, and meanwhile, the centralized picture-examining system is used for carrying out face image information on the problem luggage and the corresponding passengers. And sorting the baggage according to the sorting instruction, so that normal baggage and problematic baggage can be obtained according to the sorted machine inspection images. Normal baggage normally passes through the main line, and the problem baggage is sorted to the standby line for subsequent treatment, so that the working efficiency is improved.

Further, referring to fig. 9, after obtaining the normal baggage and the problem baggage, further comprising:

s7, acquiring a first row Li Tuxiang of the problem baggage;

s8, acquiring an initial face image corresponding to the first row Li Tuxiang as a first face image;

s9, acquiring a second face image of the passenger;

s10, judging whether the second face image is matched with the first face image or not, and obtaining a first matching result;

s11, outputting first alarm information when the first matching result is that the matching is successful.

Specifically, after the problematic baggage and the normal baggage are obtained, first, the first line Li Tuxiang of the problematic baggage, that is, the image classified as the problematic baggage is acquired, and at the same time, the initial face image corresponding to the first line Li Tuxiang is acquired as the first face image.

And when the passenger extracts the baggage to leave, acquiring a face image of the passenger, namely acquiring a second face image of the passenger. Then, whether the second face image and the first face image are matched is judged.

When the first face image is matched with the second face image, outputting a first matching result as success; when the first face image and the second face image are not matched, outputting a first matching result as unsuccessful. When the matching result is unsuccessful, the passengers and the baggage normally pass, and when the first matching result is successful, the probability proves that the passengers possibly carry dangerous articles, and at the moment, the first alarm information is output to remind the inspectors, so that the passing passengers and baggage are inspected, and the security inspection effect is improved.

The foregoing are all preferred embodiments of the present application, and are not intended to limit the scope of the present application in any way, therefore: all equivalent changes in structure, shape and principle of this application should be covered in the protection scope of this application.

Claims

1. A pre-machine inspection system, comprising:

a first image acquisition module (1) for acquiring an machine-check image of the baggage;

the input end of the image classification module (2) is connected with the output end of the first image acquisition module (1) and is used for classifying the machine inspection images and outputting classification instructions;

the input end of the baggage sorting module (3) is connected with the output end of the image sorting module (2) and is used for sorting the baggage based on the sorting instruction and obtaining normal baggage and problem baggage;

an identification sealing module (4) for receiving the problem baggage and sealing the problem baggage;

a luggage identification module (5) for identifying the sealed problem luggage and generating an identification result;

the input end of the alarm module (6) is connected with the output end of the luggage identification module (5) and is used for generating alarm information based on the identification result;

a second image acquisition module (10) for acquiring a first row Li Tuxiang of the problem baggage;

the baggage recognition module (5) comprises:

a third image acquisition module (15) for acquiring a second baggage image of the baggage;

the input end of the second image judging module (16) is connected with the third image acquisition module (15) and is used for judging whether the second luggage image contains a sealed customs supervision pipe, and obtaining and outputting a judging result;

the baggage recognition module (5) further comprises:

the identification verification module (17) is provided with one input end connected with the output end of the second image judgment module (16), and the other input end connected with the third image acquisition module (15), and is used for judging whether the second luggage image is matched with the first row Li Tuxiang or not and obtaining a second matching result when the judgment result is yes;

and the input end of the second warning module (18) is connected with the output end of the identification verification module (17), and the second warning module is used for outputting second warning information when the judging result and the second matching result are both yes.

2. The system of claim 1, further comprising:

the luggage scanning module (7) is used for reading luggage bars preset on the luggage case and acquiring an initial face image;

and the baggage binding module (8) is used for carrying out association binding on the initial face image and the machine inspection image.

3. The system of claim 1, further comprising:

and the luggage adjusting module (9) is used for adjusting the distance and the posture of the luggage.

4. The system of claim 2, further comprising:

a face image acquisition module (11) configured to acquire the initial face image corresponding to the first line Li Tuxiang as a first face image;

a face image recognition module (12) for acquiring a second face image of the passenger;

the first image judging module (13) is connected with the output end of the face image identifying module (12) at one input end and the face image acquiring module (11) at the other input end, and is used for judging whether the second face image is matched with the first face image or not and obtaining a first matching result;

and the input end of the first warning module (14) is connected with the output end of the first image judging module (13), and the first warning module is used for outputting first warning information when the first matching result is that the matching is successful.

5. The system of claim 1, further comprising:

the output end of the video shooting module (19) is connected with the network communication module (20), and the video shooting module is used for shooting the problem luggage after the problem luggage is identified, generating evidence video and sending the evidence video to the network communication module (20);

the network communication module (20) is used for sending the evidence video to a terminal.

6. A method for early machine inspection, comprising:

acquiring an machine inspection image of the luggage;

sorting the baggage based on the sorting instruction and obtaining normal baggage and problem baggage;

receiving the problem baggage and sealing;

identifying the sealed problem baggage and generating an identification result;

generating alarm information based on the identification result;

the step of identifying the sealed problem baggage and generating an identification result comprises the following steps:

acquiring a first row Li Tuxiang of the problem baggage;

acquiring a second baggage image of the baggage; judging whether the second luggage image contains a sealed customs supervision pipe, and obtaining and outputting a judging result;

when the judgment result is yes, judging whether the second luggage image is matched with the first line Li Tuxiang, and obtaining a second matching result;

and when the judging result and the second matching result are both yes, outputting second alarm information.

7. The method of claim 6, wherein the obtaining normal luggage and problem luggage further comprises: acquiring a first row Li Tuxiang of the problem baggage;

acquiring an initial face image corresponding to the first row Li Tuxiang as a first face image;

acquiring a second face image of the passenger;