Entrance and exit over-detection management method and device and electronic equipment

Abstract

The embodiment of the invention discloses an entrance and exit over-detection management method and device and electronic equipment, and the method comprises the steps: determining attendance information and human body millimeter wave data corresponding to a to-be-detected object when it is detected that the to-be-detected object is included in a preset detection region; constructing a human body three-dimensional holographic image based on the human body millimeter wave data, and under the condition that the human body three-dimensional holographic image meets a preset standing posture condition and a preset image quality condition, performing foreign matter detection on the human body three-dimensional holographic image based on a foreign matter detection model to obtain a foreign matter detection result; on one hand, non-contact whole-body detection of personnel is realized through a millimeter wave human body imaging technology and an intelligent detection technology, the management efficiency of entrance and exit over-detection is improved, and the omission ratio of entrance and exit over-detection is reduced; and on the other hand, real-time synchronous management of personnel millimeter wave detection results, personnel attendance and access control permissions is realized, and the intelligence of entrance and exit over-detection management is improved.

Description

Technical Field

[0001] The present invention relates to the field of security management technology, and in particular to an entrance and exit inspection management method, device and electronic equipment. Background Art

[0002] In the era of digital economy, traditional manufacturing has gradually carried out digital reforms in the field of safe production, such as supply chain systems, production planning and scheduling systems, access control management systems, personnel management systems, etc.

[0003] At present, the personnel management system only has functions such as employee attendance and access control, and cannot record and retain the inspection of employees' daily belongings when entering and leaving the workshop. Moreover, in the control of employees entering and leaving the workshop, it is still carried out in a relatively backward manner such as inquiry, contact inspection, metal detection security gate, etc., and it cannot be recorded and traced back, which has caused great risks and disputes in protecting corporate interests and protecting employee privacy. Based on this, there are problems such as low efficiency of entrance and exit inspection management, high missed inspection rate and poor intelligence. Summary of the invention

[0004] The present invention provides an entrance and exit inspection management method, device and electronic equipment to improve the management efficiency of entrance and exit inspection, reduce the entrance and exit inspection missed detection rate, and improve the intelligence of entrance and exit inspection management.

[0005] In a first aspect, an embodiment of the present invention provides an entrance and exit inspection management method, the method comprising:

[0006] When it is detected that the preset detection area includes the object to be detected, the attendance information and human body millimeter wave data corresponding to the object to be detected are determined;

[0007] constructing a three-dimensional holographic image of a human body based on the human body millimeter wave data, and performing foreign body detection on the three-dimensional holographic image of a human body based on a foreign body detection model to obtain a foreign body detection result when the three-dimensional holographic image of a human body meets a preset standing posture condition and a preset image quality condition;

[0008] Based on the attendance information and the foreign object detection result, the entrance and exit inspection information corresponding to the object to be detected is determined.

[0009] In a second aspect, an embodiment of the present invention further provides an entrance and exit inspection management device, the device comprising:

[0010] A data determination module, for determining attendance information and human body millimeter wave data corresponding to the object to be detected when it is detected that the object to be detected is included in the preset detection area;

[0011] A foreign body detection module, used for constructing a three-dimensional holographic image of a human body based on the human body millimeter wave data, and performing foreign body detection on the three-dimensional holographic image of a human body based on a foreign body detection model to obtain a foreign body detection result when the three-dimensional holographic image of a human body meets a preset standing posture condition and a preset image quality condition;

[0012] The inspection information determination module is used to determine the entrance and exit inspection information corresponding to the object to be detected based on the attendance information and the foreign object detection result.

[0013] In a third aspect, an embodiment of the present invention further provides an electronic device, the electronic device comprising:

[0014] one or more processors;

[0015] A storage device is used to store one or more programs. When the one or more programs are executed by one or more processors, the one or more processors implement the entrance and exit inspection management method as any one of the embodiments of the present invention.

[0016] In a fourth aspect, an embodiment of the present invention further provides a storage medium comprising computer executable instructions, which, when executed by a computer processor, are used to execute an entrance and exit inspection management method as described in any one of the embodiments of the present invention.

[0017] The technical solution of the embodiment of the present invention, when it is detected that the preset detection area includes the object to be detected, determines the attendance information and human millimeter wave data corresponding to the object to be detected, and then constructs a three-dimensional holographic image of the human body based on the human millimeter wave data. When the three-dimensional holographic image of the human body meets the preset standing posture condition and the preset image quality condition, the three-dimensional holographic image of the human body is subjected to foreign body detection based on the foreign body detection model to obtain the foreign body detection result, thereby determining the entrance and exit inspection information corresponding to the object to be detected based on the attendance information and the foreign body detection result. The technical solution of this embodiment, on the one hand, realizes non-contact full-body detection of personnel through millimeter wave human imaging technology and intelligent detection technology, improves the management efficiency of entrance and exit inspection, and reduces the missed detection rate of entrance and exit inspection; on the other hand, it realizes the real-time synchronous management of personnel millimeter wave detection results, personnel attendance and access control permissions, and improves the intelligence of entrance and exit inspection management. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following briefly introduces the drawings required to describe the embodiments. Obviously, the drawings introduced are only drawings of a part of the embodiments to be described in the present invention, rather than all the drawings. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1A schematic diagram of a flow chart of an entrance and exit inspection management method provided by an embodiment of the present invention;

[0020] Figure 2 A flowchart of another entrance and exit inspection management method provided by an embodiment of the present invention;

[0021] Figure 3 This is a system block diagram of a smart workshop management platform according to an embodiment of the present invention;

[0022] Figure 4 It is a schematic diagram of a specific implementation flow of the entrance and exit inspection management method integrated in the employee security inspection subsystem involved in an embodiment of the present invention;

[0023] Figure 5 A schematic diagram of the structure of an entrance and exit inspection management device provided by an embodiment of the present invention;

[0024] Figure 6 The present invention is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0025] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0026] Embodiment 1

[0027] Figure 1 A flow chart of an entrance and exit inspection management method provided in an embodiment of the present invention. This embodiment can be applied to any scenario where entrance and exit inspection of personnel is required. The method can be executed by an entrance and exit inspection management device, which can be implemented in the form of software and / or hardware. The hardware can be an electronic device, such as a mobile terminal, a PC or a server.

[0028] like Figure 1 As shown, the entrance and exit inspection management method includes:

[0029] S110. When it is detected that the preset detection area includes the object to be detected, attendance information and human body millimeter wave data corresponding to the object to be detected are determined.

[0030] Among them, the preset detection area is a pre-set detection area. Exemplarily, a designated area can be set at the exit or entrance of the target space (for example, a production workshop), and this area is the preset detection area. The object to be tested is the person who is about to be tested. Attendance information refers to the information content that records and reflects the attendance of the object to be tested. Human millimeter wave data refers to the data obtained by scanning the object to be tested through millimeter wave human body scanning imaging technology. Millimeter waves refer to electromagnetic waves with a frequency between 30GHz and 300GHz, corresponding to a wavelength range of 10mm to 1mm. Its wavelength is between microwaves and infrared, and it has the characteristics of both but is different. It has inherent advantages in human imaging technology. Millimeter waves have better penetration than infrared and can penetrate ordinary clothing, paper, plastic, etc.; their wavelength is shorter than microwaves, so the image resolution performance obtained is better than microwaves.

[0031] In this embodiment, when it is detected that the preset detection area includes an object to be detected, the specific implementation steps of determining the attendance information and human body millimeter wave data corresponding to the object to be detected may include:

[0032] S1. When it is detected that a preset detection area includes an object to be detected, based on a facial capture device configured at a first preset position in the preset detection area, a facial image of the object to be detected is captured and image capture timestamp information is recorded.

[0033] The first preset position is a pre-set position. The facial acquisition device refers to a camera device used to acquire a facial image of the object to be tested. The object facial image refers to an image containing facial information of the object to be tested. The image acquisition timestamp information refers to the time point information when the object facial image of the object to be tested is acquired.

[0034] In this embodiment, a millimeter wave human body scanning device for collecting millimeter wave data of the human body is pre-configured in the preset detection area; a personnel sensing device for detecting whether the preset detection area contains a person, and a facial acquisition device for collecting the corresponding facial information to be tested. In particular, the personnel sensing device can be an infrared sensor, a weight sensor, etc., as long as it can sense that the preset detection area includes a person. Optionally, according to a pre-set timing task, the millimeter wave human body scanning device can scan the current environment millimeter wave data once every preset time period, and compare the current environment millimeter wave data with the pre-collected environmental background millimeter wave data to determine whether the preset detection area at the current moment includes the object to be tested.

[0035] Based on this, when it is detected that the preset detection area includes the object to be tested, the facial capture device configured at the first preset position of the preset detection area can be started, and the facial image of the object to be tested can be captured by the facial capture device, and the time information of capturing the facial image of the object is recorded, which is the image capture timestamp information.

[0036] S2. Based on the facial image of the object and the pre-built employee basic information database, the identity of the object to be tested is authenticated to determine the identity authentication result.

[0037] The identity verification result is used to indicate whether the object to be tested is an employee belonging to the target space. The identity verification result includes a verification pass result and a verification fail result.

[0038] In this embodiment, a database including basic information of employees can be pre-built, and the database includes identification codes, standard facial images, affiliated departments, and responsibilities of all employees working in the target space. By comparing the facial image of the object with the standard facial images corresponding to each employee in the database, it can be determined whether the object to be tested is an employee belonging to the target space. If yes, the identity verification result is determined to be a verification pass result; if not, the identity verification result is determined to be a verification fail result.

[0039] S3. When the identity authentication result is passed, the attendance information is determined according to the object identity information and the image acquisition timestamp information, and the human body millimeter wave data corresponding to the object to be tested is collected based on the millimeter wave human body scanning device configured at the second preset position of the preset detection area.

[0040] In this embodiment, when the identity authentication result is passed, the attendance information can be determined according to the identified identity information of the corresponding object to be tested and the corresponding image acquisition timestamp information. For example, the attendance information can represent "{First production workshop, Zhang San, 18:00}". At the same time, the millimeter wave human body scanning device configured at the second preset position of the preset detection area can be started, and the object to be tested can be prompted to perform corresponding actions according to the preset posture, and the millimeter wave human body data of the object to be tested when performing the preset posture can be scanned by the millimeter wave human body scanning device.

[0041] S120, constructing a three-dimensional holographic image of the human body based on the millimeter-wave data of the human body, and when the three-dimensional holographic image of the human body meets preset standing posture conditions and preset image quality conditions, performing foreign body detection on the three-dimensional holographic image of the human body based on a foreign body detection model to obtain a foreign body detection result.

[0042] Among them, the human body 3D holographic image refers to a 3D image containing various parts of the human body generated by processing the human body millimeter wave data through holographic technology. This image not only shows the anatomical structure of the human body, but also uses holographic technology to show views of various parts of the human body at different angles, similar to observing real objects in real life. The foreign body detection model is a pre-trained intelligent detection model. The foreign body detection model is used to detect foreign bodies in the human body 3D holographic image.

[0043] The preset posture condition is a preset human posture judgment condition, which is used to judge whether the human millimeter wave data is data collected when the subject to be measured performs an action in a preset posture. For example, the preset posture may include: leaning forward, slightly opening the arms, and lowering the hands. The preset image quality condition is a preset image quality evaluation rule, which is used to judge whether the image quality of the human three-dimensional holographic image meets the quality requirements.

[0044] Among them, the foreign matter detection result is used to characterize whether the object to be tested carries any abnormal items. The foreign matter detection result includes an abnormal detection result or a non-abnormal detection result, and the abnormal detection result includes at least one of a cigarette detection result, a pack detection result, a carton detection result, and a fire source detection result. Among them, the cigarette detection result indicates that the object to be tested carries at least one cigarette item in units of cigarettes, the pack detection result indicates that the object to be tested carries at least one cigarette item in units of packs, the carton detection result indicates that the object to be tested carries at least one cigarette item in units of carton, and the fire source detection result indicates that the object to be tested carries at least one fire source item, such as matches, lighters, etc.

[0045] In this embodiment, a millimeter wave imaging model for reconstructing a three-dimensional holographic image of a human body can be preconfigured. On the basis of acquiring millimeter wave data of a human body, the millimeter wave data of a human body can be input into the millimeter wave imaging model to obtain a three-dimensional holographic image of a human body corresponding to the object to be measured. Furthermore, a standing posture detection and an image quality detection process can be performed on the three-dimensional holographic image of a human body to obtain a standing posture detection result and an image quality detection result. When the standing posture detection result satisfies the preset standing posture condition, and the image quality detection result satisfies the preset image quality condition, the three-dimensional holographic image of a human body can be further input into a foreign body detection model, and the foreign body detection model can process and analyze the three-dimensional holographic image of a human body to obtain a foreign body detection result.

[0046] S130. Based on the attendance information and the foreign object detection result, determine the entrance and exit inspection information corresponding to the object to be detected.

[0047] The entrance and exit inspection information is used to indicate whether the object to be tested can pass through a preset entrance or a preset exit. For example, the entrance and exit inspection information may include an entrance and exit passing result and an entrance and exit interception result.

[0048] Specifically, on the basis of obtaining the attendance information and the foreign object detection result, if the attendance information of the object to be tested is consistent with the working time information corresponding to the object to be tested, and the foreign object detection result is a detection result without abnormality, in this case, the entrance and exit inspection information corresponding to the object to be tested can be determined as the entrance and exit passing result. If the attendance information of the object to be tested does not conform to the working time information corresponding to the object to be tested, and / or the foreign object detection result is a detection result without abnormality, in this case, the entrance and exit inspection information corresponding to the object to be tested can be determined as the entrance and exit interception result.

[0049] On the basis of the above embodiment, whenever a person passes through the preset detection area, the corresponding attendance information will be recorded, so that the attendance information of each object to be detected can be summarized and processed and reported to the personnel management system.

[0050] The technical solution of the embodiment of the present invention, when it is detected that the preset detection area includes the object to be detected, determines the attendance information and human millimeter wave data corresponding to the object to be detected, and then constructs a three-dimensional holographic image of the human body based on the human millimeter wave data. When the three-dimensional holographic image of the human body meets the preset standing posture condition and the preset image quality condition, the three-dimensional holographic image of the human body is subjected to foreign body detection based on the foreign body detection model to obtain the foreign body detection result, thereby determining the entrance and exit inspection information corresponding to the object to be detected based on the attendance information and the foreign body detection result. The technical solution of this embodiment, on the one hand, realizes non-contact full-body detection of personnel through millimeter wave human imaging technology and intelligent detection technology, improves the management efficiency of entrance and exit inspection, and reduces the missed detection rate of entrance and exit inspection; on the other hand, it realizes the real-time synchronous management of personnel millimeter wave detection results, personnel attendance and access control permissions, and improves the intelligence of entrance and exit inspection management.

[0051] Embodiment 2

[0052] Figure 2 This is a schematic diagram of an entrance and exit inspection management method provided by an embodiment of the present invention. Based on the above embodiment, S120 and S130 are described in detail. The specific implementation method can refer to the technical solution of this embodiment. Among them, the technical terms that are the same or corresponding to the above embodiment are not repeated here.

[0053] like Figure 2 As shown, the method specifically comprises the following steps:

[0054] S210: When it is detected that the preset detection area includes the object to be detected, attendance information and human body millimeter wave data corresponding to the object to be detected are determined.

[0055] S220, inputting the millimeter wave data of the human body into the millimeter wave imaging model to construct a three-dimensional holographic image of the human body corresponding to the object to be measured.

[0056] In this embodiment, a millimeter wave imaging model for reconstructing a three-dimensional holographic image of the human body can be pre-configured. Based on the collected millimeter wave data of the human body, the millimeter wave data of the human body can be input into the millimeter wave imaging model to obtain a three-dimensional holographic image of the human body corresponding to the object to be measured.

[0057] S230, performing posture detection and image quality detection processing on the three-dimensional holographic image of the human body, and determining a posture detection result and an image quality detection result.

[0058] The standing posture detection result indicates whether the standing posture of the object to be tested matches the preset posture. The image quality detection result indicates whether the image quality of the three-dimensional holographic image of the human body is qualified.

[0059] In this embodiment, the human body three-dimensional holographic image can be processed for human body posture detection by a preset posture detection algorithm to obtain a human body posture detection result; for example, if the human body three-dimensional holographic image is detected to match the preset posture, then the human body posture detection result is a correct standing posture; if the human body three-dimensional holographic image is detected to be mismatched with the preset posture, then the human body posture detection result is an incorrect standing posture. The image quality of the human body three-dimensional holographic image can be evaluated by a preset image quality measurement method to obtain an image quality score. If the image quality score is greater than or equal to the expected image quality score threshold, then the image quality detection result is a qualified image quality result; if the image quality score is less than the expected image quality score threshold, then the image quality detection result is an unqualified image quality result.

[0060] S240. If the standing posture detection result meets the preset standing posture condition, and the image quality detection result meets the preset image quality condition, the three-dimensional holographic image of the human body is input into the foreign body detection model to obtain the foreign body detection result.

[0061] In this embodiment, when the standing posture detection result is that the standing posture is correct and the image quality detection result is that the image quality is qualified, the three-dimensional holographic image of the human body can be input into the foreign body detection model, and the foreign body detection model can process and analyze the three-dimensional holographic image of the human body to obtain the foreign body detection result.

[0062] S250. If the standing posture detection result does not meet the preset standing posture condition, the subject to be measured is prompted to adjust the posture, the human body millimeter wave data corresponding to the subject to be measured is re-collected, and S220-S230 are repeatedly executed.

[0063] In this embodiment, if the standing posture detection result of the object to be tested does not meet the preset standing posture condition, that is, the standing posture detection result is incorrect, at this time, the object to be tested can be prompted to perform corresponding actions according to the preset posture through voice and / or display animation, and the human body millimeter wave data corresponding to the object to be tested is re-collected, and further, the human body three-dimensional holographic image is reconstructed, and the human body three-dimensional holographic image is subjected to standing posture detection and image quality detection processing, and the standing posture detection result and image quality detection result are further judged. This is because the actions performed by the object to be tested may not be standard, and the reconstructed human body three-dimensional holographic image has the problem of low accuracy in foreign body detection; in addition, other personnel besides employees will also enter and exit the target space. When these personnel want to enter or leave the target space, when they arrive at the preset detection area, they do not know that they need to perform corresponding actions according to the preset posture and scan the human body millimeter wave data. There may be a situation where they forcefully pass through the preset detection area. At this time, there may be a situation where the standing posture detection result does not meet the preset standing posture condition, and the constructed human body three-dimensional holographic image has the problem of low accuracy in foreign body detection. Based on this, in order to improve the accuracy and comprehensiveness of foreign object detection, the standing posture of the object to be detected can be detected and processed.

[0064] S260. If the image quality detection result does not meet the preset image quality condition, a millimeter wave human body scanning device calibration event is triggered; after the millimeter wave human body scanning device completes the device calibration process, the human body millimeter wave data corresponding to the object to be measured is re-collected, and S220-S230 are repeated.

[0065] In this embodiment, if the image quality detection result does not meet the preset image quality condition, that is, the image quality detection result is an unqualified image quality result; at this time, it indicates that the millimeter wave human body scanning device may have a device abnormality, and a scanning device calibration event can be triggered at this time to enable the millimeter wave human body scanning device to perform automatic device calibration processing. After the millimeter wave human body scanning device completes the device calibration processing, the human body millimeter wave data corresponding to the object to be measured can be re-collected.

[0066] S270. If the attendance information is consistent with the working time information corresponding to the object to be detected, and the foreign object detection result is a normal detection result, then the entrance and exit inspection information corresponding to the object to be detected is an entrance and exit passing result.

[0067] In this embodiment, if the attendance information is consistent with the working time information corresponding to the object to be tested, and the foreign object detection result is a normal detection result, it indicates that the object to be tested can enter or leave the target space. In this case, the entrance and exit inspection information corresponding to the object to be tested is determined as the entrance and exit passing result.

[0068] S280. If the attendance information does not conform to the working time information corresponding to the object to be detected, and / or the foreign object detection result is an abnormal detection result, the entrance and exit inspection information corresponding to the object to be detected is an entrance and exit interception result.

[0069] In this embodiment, if there is any situation in which the attendance information matches the working time information corresponding to the object to be tested and the foreign object detection result is an abnormal detection result, then it is characterized that the object to be tested needs further verification whether it can enter or leave the target space. In this case, the entrance and exit inspection information corresponding to the object to be tested is determined as the entrance and exit interception result.

[0070] S290: If the entrance and exit inspection information corresponding to the object to be tested is an entrance and exit interception result, the entrance and exit interception result is sent to the access control management system, so that the access control management system triggers the interception device to intercept the object to be tested.

[0071] In this embodiment, the entrance and exit inspection management method provided in this embodiment can be optionally integrated into the employee security inspection system of the smart workshop management platform. Figure 3 3 is a system block diagram of the smart workshop management platform 300, which includes a supply chain management system 301, a production management system 302, a personnel management system 303, and an access control management system 304. Among them, the personnel management system 303 also includes an employee information subsystem 303a, an attendance subsystem 303b, and an employee security inspection subsystem 303c. In this embodiment, the subsystems in the personnel management system 303 are interconnected, that is, the millimeter wave human body imaging detection result data of employees entering and leaving the workshop on a daily basis is bound with the employee information and attendance information to form a complete data and reported to the smart workshop management platform 300 in real time. The smart workshop management platform 300 controls the access control management system 304 in real time according to the reported results. When the entrance and exit inspection information corresponding to the object to be tested determined by the employee security inspection subsystem 303c is the entrance and exit interception result, the entrance and exit interception result can be sent to the access control management system 304. When the entrance and exit interception result is received, the access control management system 304 can trigger the interception device and intercept the object to be tested through the interception device. In particular, technical means for information matching and binding between subsystems for employees, test data, and attendance systems include but are not limited to facial recognition technology, millimeter wave body recognition technology, NFC card swiping technology, etc.; access control management includes but is not limited to various types of personnel gate channels, door magnets and other technologies.

[0072] For an exemplary implementation flow chart of the entrance and exit inspection management method integrated into the employee security inspection subsystem, see Figure 4. When the employee security inspection subsystem is initially started, it first performs initialization and calibration, and then collects background data in the detection channel and determines whether the background data is qualified; if qualified, it enters the system standby state; if the background data is unqualified, it re-collects background data. At this time, it should be checked whether there are people or objects in the preset detection area that affect the background imaging of the detection channel. After the preset detection area is cleared and the background data is judged to be qualified, the system can enter the standby state. When a person (i.e., the object to be tested) enters the preset detection area, the millimeter wave human body scanning equipment and facial collection equipment are started to determine the attendance information and human body millimeter wave data of the object to be tested. Reconstruct the 3D holographic image of the human body based on the millimeter wave data of the human body. When the 3D holographic image of the human body meets the preset standing posture conditions and the preset image quality conditions, perform foreign body detection on the 3D holographic image of the human body based on the intelligent detection algorithm (foreign body detection model) to obtain the foreign body detection result; if the 3D holographic image of the human body does not meet the preset standing posture conditions, prompt the object to be tested to adjust the posture and re-collect the millimeter wave data of the human body corresponding to the object to be tested; if the 3D holographic image of the human body does not meet the preset image quality conditions, trigger the millimeter wave human body scanning device calibration event, and re-execute the subsequent steps. Finally, according to the attendance information and the foreign body detection results, determine the entrance and exit inspection information corresponding to the object to be tested.

[0073] The technical solution of the embodiment of the present invention inputs the three-dimensional holographic image of the human body into the foreign body detection model to obtain the foreign body detection result only when the posture detection result meets the preset posture condition and the image quality detection result meets the preset image quality condition. If the posture detection result does not meet the preset posture condition, the object to be tested is prompted to adjust the posture, and the human body millimeter wave data corresponding to the object to be tested is re-collected, and the human body millimeter wave data corresponding to the object to be tested is re-collected; if the image quality detection result does not meet the preset image quality condition, the millimeter wave human body scanning device correction event is triggered; after the millimeter wave human body scanning device completes the device calibration process, the human body millimeter wave data corresponding to the object to be tested is re-collected. The technical solution provided by this embodiment improves the accuracy and comprehensiveness of foreign body detection by troubleshooting abnormal situations.

[0074] Embodiment 3

[0075] Figure 5 This is a schematic diagram of the structure of an entrance and exit inspection management device provided by an embodiment of the present invention. The device includes: a data determination module 310, a foreign object detection module 320 and an inspection information determination module 330.

[0076] The data determination module 310 is used to determine the attendance information and human body millimeter wave data corresponding to the object to be detected when it is detected that the object to be detected is included in the preset detection area;

[0077] A foreign body detection module 320 is used to construct a three-dimensional holographic image of a human body based on the human body millimeter wave data, and to perform foreign body detection on the three-dimensional holographic image of a human body based on a foreign body detection model to obtain a foreign body detection result when the three-dimensional holographic image of a human body meets a preset standing posture condition and a preset image quality condition;

[0078] The inspection information determination module 330 is used to determine the entrance and exit inspection information corresponding to the object to be detected based on the attendance information and the foreign object detection result.

[0079] Based on the above-mentioned device, optionally, the foreign matter detection result includes an abnormal detection result or a non-abnormal detection result, and the abnormal detection result includes at least one of a cigarette detection result, a pack detection result, a carton detection result, and a fire source detection result.

[0080] Based on the above device, optionally, the data determination module 310 may specifically include:

[0081] A data acquisition unit, configured to acquire a facial image of the object to be detected and record image acquisition timestamp information based on a facial acquisition device configured at a first preset position of the preset detection area when it is detected that the object to be detected is included in the preset detection area;

[0082] An identity verification unit, used to verify the identity of the subject to be tested based on the facial image of the subject and a pre-built employee basic information database, and determine an identity verification result;

[0083] The data determination unit is used to determine the attendance information according to the object identity information and the image acquisition timestamp information when the identity authentication result is passed, and to collect the human body millimeter wave data corresponding to the object to be tested based on the millimeter wave human body scanning device configured at the second preset position of the preset detection area.

[0084] Based on the above device, optionally, the foreign body detection module 320 includes:

[0085] A three-dimensional holographic image determination unit, used for inputting the human body millimeter wave data into a millimeter wave imaging model to construct a three-dimensional holographic image of the human body corresponding to the object to be measured;

[0086] A posture and image quality detection unit, used to perform posture detection and image quality detection processing on the three-dimensional holographic image of the human body, and determine a posture detection result and an image quality detection result;

[0087] The foreign body detection unit is used to input the three-dimensional holographic image of the human body into the foreign body detection model to obtain the foreign body detection result if the standing posture detection result meets the preset standing posture condition and the image quality detection result meets the preset image quality condition.

[0088] A data recheck unit is used to prompt the object to be measured to adjust its posture if the standing posture detection result does not meet the preset standing posture condition, re-collect the human body millimeter wave data corresponding to the object to be measured, and repeat the steps of constructing a human body three-dimensional holographic image based on the human body millimeter wave data, and determining the standing posture detection result and image quality detection result of the human body three-dimensional holographic image; if the image quality detection result does not meet the preset image quality condition, trigger a millimeter wave human body scanning device correction event; after the millimeter wave human body scanning device completes the device correction processing, re-collect the human body millimeter wave data corresponding to the object to be measured, and repeat the steps of constructing a human body three-dimensional holographic image based on the human body millimeter wave data, and determining the standing posture detection result and image quality detection result of the human body three-dimensional holographic image.

[0089] Based on the above device, optionally, the over-inspection information determination module 330 includes:

[0090] A passing result determination unit, configured to determine that if the attendance information matches the working time information corresponding to the object to be detected, and the foreign body detection result is the no-abnormality detection result, the entrance and exit inspection information corresponding to the object to be detected is the entrance and exit passing result;

[0091] The interception result determination unit is used to determine that if the attendance information does not conform to the working time information corresponding to the object to be detected, and / or the foreign object detection result is an abnormal detection result, the entrance and exit inspection information corresponding to the object to be detected is the entrance and exit interception result.

[0092] On the basis of the above device, optionally, the entrance and exit inspection management device further includes:

[0093] The object interception module is used to send the entrance and exit interception result to the access control management system if the entrance and exit inspection information corresponding to the object to be tested is the entrance and exit interception result, so that the access control management system triggers the interception device to intercept the object to be tested.

[0094] The technical solution of the embodiment of the present invention, when it is detected that the preset detection area includes the object to be detected, determines the attendance information and human millimeter wave data corresponding to the object to be detected, and then constructs a three-dimensional holographic image of the human body based on the human millimeter wave data. When the three-dimensional holographic image of the human body meets the preset standing posture condition and the preset image quality condition, the three-dimensional holographic image of the human body is subjected to foreign body detection based on the foreign body detection model to obtain the foreign body detection result, thereby determining the entrance and exit inspection information corresponding to the object to be detected based on the attendance information and the foreign body detection result. The technical solution of this embodiment, on the one hand, realizes non-contact full-body detection of personnel through millimeter wave human imaging technology and intelligent detection technology, improves the management efficiency of entrance and exit inspection, and reduces the missed detection rate of entrance and exit inspection; on the other hand, it realizes the real-time synchronous management of personnel millimeter wave detection results, personnel attendance and access control permissions, and improves the intelligence of entrance and exit inspection management.

[0095] The entrance and exit inspection management device provided in the embodiment of the present invention can execute the entrance and exit inspection management method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0096] It is worth noting that the various units and modules included in the above system are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the embodiments of the present invention.

[0097] Embodiment 4

[0098] Figure 6 The present invention is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. Figure 6 A block diagram of an exemplary electronic device 40 suitable for implementing exemplary embodiments of the present invention is shown. Figure 6 The electronic device 40 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0099] like Figure 6 As shown, the electronic device 40 is in the form of a general computing device. The components of the electronic device 40 may include but are not limited to: one or more processors or processing units 401, a system memory 402, and a bus 403 connecting different system components (including the system memory 402 and the processing unit 401).

[0100] Bus 403 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus structures. For example, these architectures include but are not limited to Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus and Peripheral Component Interconnect (PCI) bus.

[0101] The electronic device 40 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device 40, including volatile and non-volatile media, removable and non-removable media.

[0102] System memory 402 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 404 and / or cache memory 405. Electronic device 40 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 406 may be used to read and write non-removable, non-volatile magnetic media ( Figure 6 not shown, usually called a "hard drive"). Although Figure 6 Not shown in the figure, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, a DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 403 via one or more data medium interfaces. Memory 402 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of various embodiments of the present invention.

[0103] A program / utility 408 having a set (at least one) of program modules 407 may be stored, for example, in memory 402, such program modules 407 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. Program modules 407 generally perform the functions and / or methods of the embodiments described herein.

[0104] The electronic device 40 may also communicate with one or more external devices 409 (e.g., keyboards, pointing devices, displays 810, etc.), may communicate with one or more devices that enable a user to interact with the electronic device 40, and / or may communicate with any device that enables the electronic device 40 to communicate with one or more other computing devices (e.g., a network card, a modem, etc.). Such communication may be performed via an input / output (I / O) interface 411. Furthermore, the electronic device 40 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 412. As shown, the network adapter 412 communicates with other modules of the electronic device 40 via the bus 403. It should be understood that although Figure 6 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 40, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0105] The processing unit 401 executes various functional applications and page processing by running the programs stored in the system memory 402, such as implementing the entrance and exit inspection management method provided in the embodiment of the present invention.

[0106] Embodiment 5

[0107] An embodiment of the present invention further provides a storage medium containing computer executable instructions, which are used to execute a method for managing entrance and exit inspection when executed by a computer processor. The method includes:

[0108] When it is detected that the preset detection area includes the object to be detected, the attendance information and human body millimeter wave data corresponding to the object to be detected are determined;

[0109] constructing a three-dimensional holographic image of a human body based on the human body millimeter wave data, and performing foreign body detection on the three-dimensional holographic image of a human body based on a foreign body detection model to obtain a foreign body detection result when the three-dimensional holographic image of a human body meets a preset standing posture condition and a preset image quality condition;

[0110] Based on the attendance information and the foreign object detection result, the entrance and exit inspection information corresponding to the object to be detected is determined.

[0111] The computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0112] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0113] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0114] Computer program code for performing the operation of embodiments of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0115] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for managing entrance and exit inspection, characterized in that: include: When it is detected that the preset detection area includes the object to be detected, the attendance information and human body millimeter wave data corresponding to the object to be detected are determined; constructing a three-dimensional holographic image of a human body based on the human body millimeter wave data, and performing foreign body detection on the three-dimensional holographic image of a human body based on a foreign body detection model to obtain a foreign body detection result when the three-dimensional holographic image of a human body meets a preset standing posture condition and a preset image quality condition; Based on the attendance information and the foreign object detection result, the entrance and exit inspection information corresponding to the object to be detected is determined.

2. The method according to claim 1, characterized in that The foreign matter detection result includes an abnormal detection result or a non-abnormal detection result, and the abnormal detection result includes at least one of a cigarette detection result, a pack detection result, a carton detection result, and a fire source detection result.

3. The method according to claim 1, characterized in that: When it is detected that the preset detection area includes the object to be detected, the attendance information and human body millimeter wave data corresponding to the object to be detected are determined, including: When it is detected that the preset detection area includes the object to be detected, based on the facial capture device configured at the first preset position of the preset detection area, the facial image of the object to be detected is captured and the image capture timestamp information is recorded; Based on the facial image of the object and a pre-built employee basic information database, identity verification is performed on the object to be tested, and an identity verification result is determined; When the identity authentication result is passed, the attendance information is determined according to the object identity information and the image acquisition timestamp information, and the human body millimeter wave data corresponding to the object to be tested is collected based on the millimeter wave human body scanning device configured at the second preset position of the preset detection area.

4. The method according to claim 1, characterized in that The method of constructing a human body three-dimensional holographic image based on the human body millimeter wave data, and performing foreign body detection on the human body three-dimensional holographic image based on a foreign body detection model to obtain a foreign body detection result when the human body three-dimensional holographic image meets a preset standing posture condition and a preset image quality condition, comprises: Inputting the human body millimeter wave data into a millimeter wave imaging model to construct a three-dimensional holographic image of the human body corresponding to the object to be measured; Performing posture detection and image quality detection processing on the three-dimensional holographic image of the human body to determine a posture detection result and an image quality detection result; If the standing posture detection result meets the preset standing posture condition, and the image quality detection result meets the preset image quality condition, the three-dimensional holographic image of the human body is input into the foreign body detection model to obtain the foreign body detection result.

5. The method according to claim 4, characterized in that The method further comprises: If the standing posture detection result does not meet the preset standing posture condition, the object to be measured is prompted to adjust the posture, the human body millimeter wave data corresponding to the object to be measured is re-collected, and the steps of constructing a human body three-dimensional holographic image based on the human body millimeter wave data, and determining the standing posture detection result and image quality detection result of the human body three-dimensional holographic image are repeated.

6. The method according to claim 4, characterized in that The method further comprises: If the image quality detection result does not meet the preset image quality condition, a millimeter wave human body scanning device calibration event is triggered; After the millimeter wave human body scanning device completes the device calibration process, the human body millimeter wave data corresponding to the object to be measured is re-collected, and the steps of constructing a three-dimensional holographic image of the human body based on the human body millimeter wave data, and determining the standing posture detection result and image quality detection result of the three-dimensional holographic image of the human body are repeated.

7. The method according to claim 1, characterized in that The foreign body detection result includes an abnormal detection result or a non-abnormal detection result, and the determining of the entrance and exit inspection information corresponding to the object to be detected based on the attendance information and the foreign body detection result includes: If the attendance information matches the working time information corresponding to the object to be detected, and the foreign body detection result is the no-abnormality detection result, then the entrance and exit inspection information corresponding to the object to be detected is the entrance and exit passing result; If the attendance information does not conform to the working time information corresponding to the object to be detected, and / or the foreign object detection result is an abnormal detection result, the entrance and exit inspection information corresponding to the object to be detected is an entrance and exit interception result.

8. The method according to claim 7, characterized in that The method further comprises: If the entrance and exit inspection information corresponding to the object to be detected is an entrance and exit interception result, the entrance and exit interception result is sent to the access control management system, so that the access control management system triggers the interception device to intercept the object to be detected.

9. An entrance and exit inspection management device, characterized in that: The device includes: A data determination module, for determining attendance information and human body millimeter wave data corresponding to the object to be detected when it is detected that the object to be detected is included in the preset detection area; A foreign body detection module, used for constructing a three-dimensional holographic image of a human body based on the human body millimeter wave data, and performing foreign body detection on the three-dimensional holographic image of a human body based on a foreign body detection model to obtain a foreign body detection result when the three-dimensional holographic image of a human body meets a preset standing posture condition and a preset image quality condition; The inspection information determination module is used to determine the entrance and exit inspection information corresponding to the object to be detected based on the attendance information and the foreign object detection result.

10. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the entrance and exit inspection management method described in any one of claims 1-8.

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