Method for operating a personal security checking system and / or a luggage receiving device and / or luggage dispensing device and personal security control system

Abstract

A method for operating a personal security checking system and / or a luggage receiving device and / or luggage dispensing device, wherein the method comprises the following steps: computerized generation of luggage verification data that indicate whether a typical object, in particular a typical piece of luggage, is missing.

Description

[0001] title

[0002] Method for operating a personal security screening system and / or a baggage acceptance device and / or baggage issue device and personal security screening system

[0003] Description

[0004] Technical field

[0005] The invention relates to a method for operating a personal security control system and / or a baggage acceptance device and / or baggage issue device as well as a personal security control system.

[0006] background

[0007] Personal security screening systems are used at airports to screen passengers and their baggage or belongings, in order to detect prohibited items such as weapons and explosives before they cause damage. Screening using personal security screening systems serves to protect against criminal acts directed against, for example, the aircraft, the crew, or other passengers. Personal security screening systems typically separate a security area, which must be entered to board, from the rest of the airport environment.

[0008] Personal security screening systems typically include a baggage scanner, usually in the form of an X-ray scanner, and a person scanner, usually in the form of a metal detector or body scanner.

[0009] Because every passenger and their carry-on baggage must go through the security screening system, a backlog can quickly develop. If this isn't processed quickly enough, it has adverse effects on passengers, airport operators, and aircraft operators. This can lead to passengers missing their flights, passengers spending less time in the security area, generating less revenue in duty-free shops or restaurants, or aircraft being held up, which can even negatively impact subsequent air traffic.

[0010] However, operating a security screening system requires a significant amount of personnel and equipment, so operating more security screening systems than necessary is also disadvantageous, as this results in high costs and wasted resources. Furthermore, the necessary space to process the number of people is often not available. For example, many airports cannot build additional security screening systems or security screening lanes, even if they would be necessary for processing.

[0011] There is therefore a need to optimize the operation of the personal security control system.

[0012] The invention therefore has the object of providing a method which enables an optimized operation of the personal security control system.

[0013] Furthermore, the invention has the object of providing a data processing system, a computer program and a computer-readable (storage) medium which are intended to carry out the method in order to enable an optimized operation of the personal security control system.

[0014] Furthermore, the invention aims to provide a personal security control system that enables particularly efficient passenger processing.

[0015] Summary of the invention

[0016] This object is achieved by a method for operating a personal security screening system and / or a baggage acceptance device and / or baggage issue device according to claim 1. The subject matter of the invention is therefore a method for operating a personal security screening system and / or a baggage acceptance device and / or baggage issue device, wherein the method comprises the following steps: computerized generation of baggage verification data which reflect whether a typical object, in particular a typical piece of baggage, is missing.

[0017] This object is further achieved by a data processing system. The invention therefore relates to a data processing system comprising means for executing the computerized steps of the method according to the invention.

[0018] This object is further achieved by a computer program. The invention therefore relates to a computer program for carrying out the computerized steps of the method according to the invention.

[0019] This object is further achieved by a computer-readable (storage) medium. The invention therefore relates to a computer-readable (storage) medium comprising instructions which, when executed by a computer, cause the computer to carry out the computerized steps of the method according to the invention.

[0020] This object is further achieved by a personal security control system according to claim X1. The object therefore relates to a personal security control system comprising a baggage detection device for detecting baggage, wherein the baggage detection device is designed to generate detection data, wherein the personal security control system is designed to generate baggage verification data in a computerized manner, wherein the

[0021] - Baggage inspection data is based on the capture data and / or content data representing the content of the capture data, and wherein the baggage inspection data reflects whether a typical item, in particular a typical piece of baggage, is missing.

[0022] The baggage screening data enables quick and automatic processing of passengers during baggage inspection because delays are avoided. This is based on the fact that the passenger is alerted early on that the typical item is missing and that they are probably still carrying it with them. The passenger can then be instructed to hand over the typical item so that passengers can be processed quickly. The measures according to the invention make it possible to identify an impending delay using computer before it occurs and to prevent the resulting consequential damage. For example, the personal security screening system determines that a typical item, such as a laptop - an item that the passenger should carry with them due to the general conditions - is missing. The passenger can therefore be informed before a delay actually occurs.The measures according to the invention thus allow for automated identification of hazards that could cause delays in passenger check-in because the passenger is subjected to a detailed check, e.g., in the form of a follow-up check and / or a repeat check, before they occur. Delays caused by passengers passing through the baggage check with an item that should actually be checked are thus avoided.

[0023] The measures according to the invention have the advantage of enabling optimized passenger processing. Delays are thus reduced or even avoided. This can reduce passenger waiting times. This further results in the optimization of the operating time or throughput of the passenger security screening system and / or the baggage acceptance device and / or the baggage return device. This is accompanied by resource savings.

[0024] Among other things, the available space at the baggage check is used optimally, preventing passengers from causing congestion by forgetting to check in a piece of baggage. This baggage is identified according to the procedure, allowing congestion to be prevented before it even occurs.

[0025] Among other things, the (relative) energy consumption is reduced because the passenger security screening system needs to be operated for a shorter time and / or multiple passengers can be processed within a defined time. Energy is also saved because no follow-up checks are necessary. During the follow-up check, the passenger's checked baggage is usually redirected and / or decelerated for a more precise scan and then accelerated again. This therefore entails an energy requirement. The passenger security screening system therefore does not need to be activated for a follow-up check. The measures according to the invention avoid the follow-up check and thus the increased energy consumption.

[0026] Further, particularly advantageous embodiments and developments of the invention emerge from the dependent claims and the following description.

[0027] Baggage inspection data is data that represents the result of a baggage inspection for the absence of a typical item, in particular the typical piece of baggage. The baggage inspection data may relate to the absence of exactly one typical item and / or several typical items.

[0028] The baggage screening data may, for example, be machine-readable and be intended to control the personal security screening system, in particular the baggage acceptance device and / or baggage issue device, and / or other entities external to the personal security screening system in order to trigger and / or control actions as a result of the absence of the typical object.

[0029] The baggage screening data can therefore be configured to trigger an automated system response. A system response is a reaction of the passenger security screening system. This can, in particular, involve automatically instructing the passenger to perform actions, in particular to check whether the typical item is still being carried and / or to surrender the typical item. This will be discussed in detail in a later section.

[0030] For the sake of readability, it should be noted that the terms "baggage" and "piece of baggage", unless otherwise stated, include not only a suitcase, which can usually only be transported in the cargo hold of an aircraft, or a piece of cabin baggage or hand baggage, such as a handbag, a small backpack or a cabin trolley, which can be taken into the passenger cabin of the aircraft, but also other items such as wallets, mobile phones, etc., which are "checked in" or treated like baggage for the purpose of security checks. Therefore, the term "piece of baggage" is used collectively below. Baggage refers to one or more pieces of baggage belonging to the passenger.

[0031] The personal security screening system serves not only to screen passengers, but also to screen other individuals, such as cabin crew, cleaning staff, sales staff, etc. For the sake of clarity, passengers are used below to represent the individuals screened using the personal security screening system, as they make up the largest proportion. Other individuals are therefore included accordingly.

[0032] The personal security screening system and the method according to the invention can also be used in areas other than air traffic. For example, they can be used for events such as concerts, locations with increased security requirements such as courts or museums, in shipping, etc. However, the personal security screening system is preferably a personal security screening system for air traffic. Accordingly, the computerized method is preferably intended for operating a digital twin representing a personal security screening system for air traffic.

[0033] The baggage detection device is a device for detecting baggage, in particular baggage submitted for inspection. The baggage detection device may comprise one or more sensors for this purpose. The baggage detection device may comprise, for example, a camera, a LIDAR sensor (also known as LIDAR (Light imaging, detection and ranging), LiDAR (Light detection and ranging), and Ladar (Light amplification by Stimulated Emission of Radiation detection and ranging)), a scale, or the like. The baggage detection device is preferably designed for optical, two-dimensional and / or three-dimensional detection of the baggage.

[0034] Furthermore, a person detection device can be provided for detecting persons or passengers. The person detection device and the baggage detection device can be implemented in a common detection device for detecting baggage and persons. Preferably, the person detection device is implemented separately from the baggage detection device.

[0035] The personal security screening system preferably includes a person detection device. The person detection device may include one or more sensors. The person detection device may include, for example, a camera, a LIDAR sensor, a scale, or the like. The person detection device is preferably designed for optical, two-dimensional and / or three-dimensional detection of the luggage.

[0036] The sensor(s) that can be used in the baggage detection device and / or person detection device have been discussed in detail in the relevant section.

[0037] It has proven advantageous to operate the personal security screening system in such a way that the physical personal security screening system is computerized and replicated in a digital twin. It has proven advantageous to apply a computerized method for operating a digital twin representing the personal security screening system, the method comprising the following steps:

[0038] - Obtaining influence data that affect the personal security control system in its operation,

[0039] - Simulating the operation of the personal security control system using the digital twin based on the influence data,

[0040] - generating output data based on at least one simulation, wherein the output data is intended for operating the personal security control system and / or for operating an entity separate from the personal security control system.

[0041] Such a method for operating a digital twin is disclosed in PCT / EP2024 / 060286 of April 16, 2024, wherein the method for operating the digital twin is incorporated by reference.

[0042] The complete disclosure of international patent application No. PCT / EP2024 / 060286, filed on April 16, 2024, is hereby incorporated by reference in its entirety. In particular, the claims of PCT / EP2024 / 060286, the general description, and in particular the embodiments of the figure description are considered part of the present disclosure.

[0043] The digital twin represents the underlying physical system, i.e., the technical system in the real world. In particular, the digital twin digitally maps the physical personnel security screening system. The physical system includes the personnel security screening system. Other entities of the physical system, such as the environment of the personnel security screening system, can also be represented in the digital twin. However, the digital twin can also map the personnel security screening system exclusively.

[0044] By simulating the operation of the passenger security screening system using the digital twin, the current situation can be mapped or represented. Based on the influence data, the digital twin replicates the physical system, specifically the physical passenger security screening system, in its current state. Computerized output data can be generated from the current situation. For this purpose, logic can be provided that recognizes certain criteria. For example, if it is determined that more passengers are present than expected, output data can be generated to react to this. This can, for example, activate parts of the passenger security screening system.

[0045] The personal security control system preferably has at least one scanner and particularly preferably at least a first scanner for baggage and a second scanner for persons.

[0046] It should be noted that in security technology, devices that search for concealed objects in a non-contact and non-destructive manner are called scanners. The scanner can be, for example, a CT scanner, a body scanner, an X-ray scanner (especially an X-ray inspection device), and / or a metal detector. The use of a scanner reduces personnel requirements and increases security, for example, because personnel do not have to pat down the passenger.

[0047] Furthermore, the personal security screening system preferably comprises a baggage conveyor system for transporting the piece of luggage. With some baggage conveyor systems, the piece of luggage can be placed directly onto the conveyor. However, it has proven advantageous to use baggage carriers. This ensures that no small items are lost. A baggage carrier is designed to receive pieces of luggage and carry them within the personal security screening system. The baggage carrier can, for example, be box-shaped. Baggage carriers are known, for example, as load carriers or trays. Baggage carriers typically have four walls and a floor, thus creating an interior space into which pieces of luggage can be placed.

[0048] The personal security screening system preferably comprises a baggage acceptance point where the baggage is accepted from the passenger by the personal security screening system, and a baggage delivery point where the baggage is returned to the passenger by the personal security screening system.

[0049] The baggage acceptance point preferably has the baggage acceptance device or is designed as the baggage acceptance device.

[0050] The baggage claim point preferably has the baggage claim device or is designed as the baggage claim device. The baggage claim device can be designed similarly to the baggage acceptance device, i.e., have the same structural and functional features, but is designed or provided for baggage claim rather than baggage acceptance.

[0051] Preferred design features or forms of the baggage acceptance device are discussed below, whereby these forms of design are or can also be present in the baggage issue device.

[0052] The baggage acceptance device is preferably designed such that luggage can be placed exclusively in the baggage carrier device in order to make the baggage available for inspection. For this purpose, the baggage acceptance device can have a baggage acceptance opening through which the baggage can be accepted or picked up. The baggage acceptance device is preferably designed such that the baggage carrier device can be placed adjacent to the baggage acceptance opening in such a way that the interior of the baggage carrier device can be loaded with baggage through the baggage acceptance opening, in particular exclusively through the baggage acceptance opening.The luggage acceptance device preferably has walls that delimit the interior of the luggage carrier device, wherein the luggage carrier device can be placed adjacent to the luggage acceptance opening in such a way that the walls of the luggage carrier device form a barrier with the luggage acceptance device, which prevents luggage from being placed past the walls into the luggage acceptance device. The luggage acceptance device and / or the luggage carrier device can have a closing device for closing the luggage acceptance opening and / or the interior of the luggage carrier device. The closing device can have a cover, preferably a partially flexible cover, particularly preferably a slat-like and / or roller shutter-like cover. The closing device is preferably designed such that it only opens when the luggage carrier device is positioned corresponding to the luggage acceptance opening.The luggage acceptance device is preferably designed to actuate the locking device accordingly, i.e., to open it, when the luggage carrier device is positioned correspondingly to the luggage acceptance opening. The luggage acceptance device and / or the locking device is / are preferably designed such that opening of the locking device is prevented if the luggage carrier device is not positioned as intended.

[0053] The digital twin is preferably intended to simulate the baggage acceptance point, in particular the baggage acceptance device, and / or the baggage reclaim point, in particular the baggage reclaim device. This allows the baggage acceptance and reclaim processes, i.e., processes that can result in significant delays, to be taken into account when operating the passenger security screening system.

[0054] According to one aspect of the invention, the baggage inspection data is generated based on detection data and / or content data, wherein the detection data was and / or is generated by a baggage detection device, and / or wherein the content data represents the content of the detection data. Thus, baggage inspection data tailored to the situation is provided. The absence of the typical item can thus be determined in real time.

[0055] The detection data represents the detection and / or the detected object, in particular the detected baggage, by the baggage detection device. The detection data can be, for example, data that represents an image, e.g., of the baggage acceptance device and / or the baggage carrier device, i.e., image data, or, for example, data that represents a 3D representation of a space detected by LIDAR, e.g., the interior of the baggage acceptance device and / or the baggage carrier device.

[0056] In general, the baggage detection device can be located externally of the baggage acceptance device and / or the baggage issue device, or even externally of the personal security screening system. For example, a camera can be used as the baggage detection device, which the baggage acceptance device detects from a distance (as part of or external to the personal security screening system). The baggage detection device is preferably part of the personal security screening system, particularly preferably part of the baggage acceptance device and / or the baggage issue device.

[0057] Preferably, however, the detection data are provided by the baggage detection device of the personal security screening system, particularly preferably the baggage acceptance device and / or the baggage claim.

[0058] The personal security screening system, in particular the baggage acceptance device (and / or the baggage issue device), preferably has the baggage detection device for detecting the baggage. This enables easy assignment of the detected baggage to the respective passenger who submitted it for inspection. If the baggage detection device is assigned, for example, to a baggage acceptance device (or baggage issue device) or even part of it, the baggage can be directly assigned to the passenger currently using the baggage acceptance device. This makes it particularly easy to assign the baggage screening data to the passenger, or even eliminates the need for assignment entirely.

[0059] Various sensors can be used to detect checked-in baggage. These can be located as part of the passenger security screening system or externally. A sensor can act as a baggage detection device or as part of a baggage detection device. In addition to the function of a baggage detection device, a sensor can also perform other tasks, such as detecting people (as discussed later). However, the sensor can also be used exclusively as a baggage detection device or as part of the baggage detection device.

[0060] The baggage detection device is preferably designed and provided for generating sensor data, in particular real-time sensor data. The sensor data, in particular the real-time sensor data, form the detection data or provide a basis for the detection data. The detection data can therefore correspond to the sensor data. However, the detection data can also comprise a temporal and / or spatial section of the detection or a collection of detection data. For example, sensor data can be image data from a camera, and the detection data is a temporal section, for example a still image as a snapshot or a video over a time period. However, the detection data can also represent only a spatial subsection of the sensor data, for example only that section of image data which shows an area where the luggage is to be placed. The detection data can also be a collection of several sensor data, such asImage data from a 2D image acquisition and 3D data from a 3D spatial acquisition.

[0061] The baggage detection device is preferably designed to detect the type of baggage, and / or the weight of at least one baggage, in particular exactly one baggage, and / or a dimension of a baggage, and / or a temperature.

[0062] The baggage detection device preferably has (as previously noted) a camera for detecting the baggage, in particular the baggage handed over for inspection. This can be the camera of a person detection device, wherein the person detection device is designed to detect the persons or the passenger who is handing over their baggage. This camera is preferably separate from the camera of the person detection device. Particularly preferably, the camera of the baggage detection device is designed to detect the luggage carrier device positioned in the baggage detection device. Particularly preferably, the camera is located in the baggage detection device in such a way that the interior of the luggage carrier device can be detected by the camera, for example, even when the locking device is closed. The baggage carrier device can have an area transparent to the camera and / or an opening.

[0063] The baggage detection device, for example its camera, is designed to generate the detection data. The content of the detected data, for example, the captured images, is computer-interpreted from the detection data, particularly using image recognition. Preferably, content data representing the recognized content is generated from this. The computer-interpreted interpretation of the detection data can be performed directly by the camera or externally.

[0064] In contrast to pure acquisition data, the content data thus represents the content identified in the acquisition data. The content data identifies an object represented in the acquisition data. Thus, according to a process step, the content data can be generated from the acquisition data. If, for example, the acquisition data is image data, the objects depicted in the image can be identified using pattern recognition, in particular image recognition, and stored as content data. If, on the other hand, the acquisition data consists of a representation of a space—for example, captured using LIDAR—the objects depicted in the space can be identified using 3D pattern recognition, such as point cloud classification, 3D segmentation, 3D object recognition, or geometry-based methods.

[0065] According to the method, detection data and / or content data can be generated. However, only the generation of the detection data or only the generation of the content data can also be provided as part of the method and / or can be carried out computerized on a device without generating the other data. For example, the baggage detection device itself can already be designed to identify objects and generate the content data. In this case, the content data, which is provided by the baggage detection device, can be further processed computerized. This is advantageous, for example, if the computerized method is carried out externally by the baggage detection device, e.g. by a central computer. In this case, only baggage verification data based on content data is generated in the course of the method, without the content data itself being generated in the course of the method.

[0066] The baggage check data can generally also be generated based on the capture data, without content data, i.e., without identifying the items. For example, there can be fixed spaces for certain pieces of luggage in the luggage carrier device. If such a space is empty, it can be determined that the piece of luggage is missing without having to use content data. The baggage check data can thus be generated directly based on the capture data. In this case, additional data, i.e., data different from the capture data and content data, can be taken into account when generating the baggage check data. As discussed below (and also applies to other embodiments), data describing the passenger and / or their journey can also be taken into account.

[0067] In general, it should be noted that in order to generate baggage screening data based on the content data, the content data does not necessarily have to be generated during the process. For example, the content data can be generated by an external entity in the course of a (computer-implemented) content data generation process separate from the process, based on the capture data. This can occur, for example, if the capture data is generated by a camera external to the personal security screening system, and the content data is generated directly by the camera, and the process for operating the personal security screening system is carried out on a computer of the personal security screening system and / or on a computer external to the personal security screening system, for example, an airport computer that is not part of the personal security screening system.In this case, in the course of the procedure for operating the personal security screening system, only the content data is obtained and on this basis the baggage screening data is generated.

[0068] It has proven advantageous that the method for operating the personal security screening system includes the following step: generating content data that represents the content of the capture data. This ensures latency-free and rapid generation of baggage screening data, because once the capture data is available, it can be generated from the content data in a single process. The content data is generated computer-based from the capture data and can thus be used immediately to generate the baggage screening data.

[0069] The capture data can be obtained during the process. This is the case, for example, if the capture data is generated by an external device and received to generate the content data and / or the baggage screening data.

[0070] However, the recording data is preferably generated during the process.

[0071] It has therefore proven advantageous that the method comprises the following step, namely generating the detection data by means of the baggage detection device.

[0072] The items handed in are interpreted, and based on this, it is determined whether a typical item is missing. For example, the contents—specifically, the object or type of object—are interpreted from image data (and / or, for example, LIDAR data) and documented computer-based in the content data. From this content data, it is then deduced whether the typical item is missing. For example, if the content data interprets that an eyeglass case is empty and no separate pair of glasses is present, it can be assumed that the passenger forgot to remove and add them.According to one aspect of the invention, the baggage screening data is generated based on personal detection data and / or personal content data, wherein the personal detection data was and / or is generated by a personal detection device, and / or wherein the personal content data represents the content of the personal detection data. By incorporating personal data, the baggage screening data can be generated more precisely and in a passenger-specific manner. This increases the accuracy of the screening and enables tailored system responses (e.g., targeted notifications to the passenger). As a result of the increased accuracy, handling is further optimized, which further enhances the initial effects such as reduced passenger waiting times and energy-optimized operation of the personal security screening system.

[0073] Essentially the same applies to personal registration data and personal content data as to registration data and content data. However, personal registration data and personal content data relate to the registration of the passenger (and any items they may be carrying) rather than the items that have been or are currently being handed over for screening.

[0074] The personal data and / or the personal content data can be obtained during the process, particularly from an external entity. However, they are preferably generated during the process.

[0075] The method therefore preferably includes the following step, namely generating the person content data that represents the content of the person registration data. This allows the content to be identified in one process and, from this, to be deduced whether a typical object is missing. This avoids latency and enables rapid detection of the absence of the typical object.

[0076] According to one aspect of the invention, the baggage screening data is generated based on a reference inventory. The reference inventory represents the typical items. Preferably, the reference inventory represents passenger-specific, typical items. The reference inventory can, for example, also be time-dependent. For example, it can be time-dependent and / or seasonal. For example, the reference inventory can differ in summer from that in winter. The reference inventory can also be time-dependent. Furthermore, the reference inventory can depend on the airport, e.g., it can be different for different airports. The reference inventory can also be time-independent and / or airport-independent.

[0077] It has therefore proven advantageous that the method includes the following step: computerized retrieval or generation of the reference inventory representing typical items. Thus, the absence, i.e., the lack, of the typical item can be determined computerized simply by comparing the existing items with the items listed in the reference inventory.

[0078] For example, the content data can be easily compared with the reference inventory.

[0079] The reference inventory may be described as computer-readable reference inventory data or represented by computer-readable reference inventory data.

[0080] According to one aspect, the reference inventory can be created or maintained, i.e. adapted, manually, i.e. by human input. For example, an employee can define a typical reference inventory by creating a structured list, perhaps in the form of a spreadsheet file such as Excel, CSV (short for comma-separated values ​​or character-separated values) or similar, which lists typical items for certain groups of passengers. The assignment of the items can be based on individual characterizing characteristics (e.g. age or gender) or on a combination of several such characteristics, such as age group, gender, purpose of travel, country of origin or travel destination. Likewise, the reference inventory can be structured on a site-specific basis, i.e. maintained individually for a certain airport or region.

[0081] Alternatively or additionally, the reference inventory can be generated computer-based or continuously updated. For this purpose, empirical data, such as data from past screening procedures, statistical evaluations, or usage histories, can be used. The generation can be based on rule-based algorithms or using computerized methods such as machine learning or artificial intelligence. For example, a classification model can be trained that creates a prospective baggage profile based on characteristic passenger characteristics and / or characteristic baggage characteristics (of the checked-in baggage) and / or characteristic journey characteristics, from which the typical items of a specific category of passengers are derived.

[0082] A typical item can also be included in a reference inventory if it has been identified in a sufficient number of passengers, for example, if a statistically significant threshold is exceeded. The decision regarding inclusion can be made (computerized) automatically, for example, using a classification or deep learning process. For example, an item that is identified in more than 60% of all passengers of a certain profile can be automatically added to the corresponding reference inventory. A deep learning model can be used to reliably identify the item.

[0083] Clustering or regression methods can also be used to identify recurring patterns in baggage-carrying behavior and convert them into corresponding reference inventories. Clustering methods enable the grouping of similar passengers based on shared characteristics and baggage patterns, for example, to determine that a certain group typically carries a laptop.

[0084] Regression methods, on the other hand, allow the prediction of typical items based on individual characteristics of a passenger, for example, that a 60-year-old traveler traveling to Spain is highly likely to carry sunscreen.

[0085] Preferably, the system can self-learningly generate new or modified reference inventories from continuously incoming data, i.e. generate them computer-based, or adapt existing ones, i.e. adapt them computer-based, thereby creating a dynamic reference database adapted to current trends and baggage behavior.

[0086] The reference inventory is therefore preferably generated and / or supplemented by computer based on empirical data. The personal security screening system, preferably the baggage acceptance device and / or the baggage issue device, in particular a computer of the personal security screening system, can be configured to obtain, generate, and / or manage the reference inventory.

[0087] It has therefore proven generally advantageous that the method determines the baggage screening data based on at least one characteristic of the passenger. This measure makes it possible to generate baggage screening data tailored to the passenger. As previously discussed, this leads to increased accuracy in identifying missing items and, furthermore, to optimized passenger processing and the operation of the passenger screening system.

[0088] This means that objects that the passenger is carrying and / or characteristics of the passenger are identified. The objects can be a direct indication of an object that has not been handed in. If the passenger is still holding their mobile phone, for example, actions can be triggered directly based on the identification of the object that the passenger has not handed in. For example, the passenger can be instructed to hand in their mobile phone. However, the data provided by the person detection device, in particular the personal content data, are preferably used to generate the reference inventory and / or to categorize the passenger. During categorization, the passenger is assigned to a group and / or objects normally carried are logically assigned to the passenger. A reference inventory can then be created based on the categorization, or an already created reference inventory can be adapted depending on the categorization.A person can also belong to multiple categories. The reference inventory can thus be created computer-based based on these categories. The action can be triggered directly based on this categorization and / or the reference interval. For example, if the passenger is classified as a business traveler, it can be assumed that they are carrying a laptop and they can be automatically instructed to hand over their laptop. However, it is particularly preferred that the items handed over for inspection be computer-based compared with the items normally carried, i.e., with the reference inventory. From this comparison, the baggage inspection data is computer-based generated, which indicates if a typical item is missing.

[0089] The characterising characteristic may, for example, include or relate to the passenger’s age, gender, origin and / or cultural affiliation, the purpose of the trip, the destination, a booked travel class and / or a measurable condition.

[0090] Thus, characteristic characteristics of a passenger are preferentially identified and used to determine the baggage screening data. These characteristics make it possible to determine the expected behavior of a passenger as well as the likely baggage profile, especially the reference inventory. This allows the absence of a typical item to be detected with greater precision.

[0091] The passenger's age can influence which items they typically carry. For example, older passengers are less likely to carry laptops or tablets, while younger passengers more frequently carry electronic devices in their hand luggage. Age can be determined, among other things, using image-based analysis of facial or body characteristics by the passenger recognition device. Alternatively, age can be extracted from linked booking data or an identification document. This information can then be used to weight typical items, i.e., taken into account when generating baggage screening data.

[0092] The gender of the passenger can provide clues to typical travel behavior and the type of items carried, such as accessories, clothing, or hygiene products. It can be detected, for example, through image-based feature extraction from the images captured by the person recognition device or from ID data. Booking or profile data can also be used to assign gender. Based on this information, the system can typically link certain items to a passenger and detect deviations. This is preferably taken into account when generating baggage screening data. The passenger's origin and / or cultural affiliation can influence the baggage carried and behavior at the security checkpoint. Cultural differences, regional security regulations, or typical travel habits all affect the baggage profile.For example, in some cultures, it is common for jewelry items to be handed over for inspection. The origin can be derived from flight data (e.g., departure location or nationality) or from other personal information such as language or recognizable symbols (e.g., religious jewelry). This information is preferably used to identify typical items in a context-dependent manner. This is preferably taken into account when generating baggage screening data.

[0093] A passenger's destination influences the type of luggage they typically carry. For example, travelers to warmer climates are more likely to bring swimwear, sunscreen, or light clothing, while other items are common on city trips. The destination can be determined directly from the flight or boarding data. By comparing it with experience data, the destination can be used to determine items typically carried. This information is preferably used for context-dependent identification of typical items. This information is preferably taken into account when generating baggage screening data.

[0094] The travel class can also provide information about the expected baggage profile. Business or first-class travelers tend to carry more valuable or technical equipment, while economy travelers tend to carry more compact luggage. The travel class can be obtained directly from the booking, ticket, or check-in data. It is preferably used to assess the expected baggage volume and risk profile. This is preferably taken into account when generating baggage screening data.

[0095] The passenger's current state of health, such as nervousness, fatigue, or physical limitations, can influence whether certain items are inadvertently left behind. For example, a stressed or inattentive passenger may be more likely to forget to put their mobile phone away. The passenger detection device can detect the passenger's state of health based on facial expressions, posture, movement patterns, or thermal sensor readings. Analysis of speech or other behavioral parameters can also provide clues to the passenger's condition. This is preferably considered when generating baggage screening data.

[0096] Based on these characteristics, the items typically carried, i.e. the reference inventory, are determined. This can be done by overlaying group reference inventories, each of which is assigned to a group. For example, a first group reference inventory for a group of travelers to destination A may contain a first list comprising water and sunscreen, while a second group reference inventory for male travelers aged 45 to 65 may contain a second list comprising a wristwatch. If it is then computer-determined that the passenger is a 50-year-old man with destination A, the two group reference inventories are overlaid and this results in an individual reference inventory for the individual passenger whose list includes water, sunscreen and a wristwatch. By overlaying the reference inventories, the union of the inventories can be formed, for example.For example, items that are mentioned multiple times can be combined. Weighting (or weighting) of probabilities can also play a role. If an item is identified in two superimposed group reference inventories, for example, it can be given a higher weighting because it is expected to be more likely.

[0097] It has proven advantageous to anonymize the personal content data. This means that data that allows conclusions to be drawn about the person and / or personal data within the meaning of the General Data Protection Regulation are removed or rendered unrecognizable. The method preferably includes the following step: computerizing the anonymization of the personal data and / or personal content data.

[0098] In this context, it has proven advantageous that the personal security control system is designed to obtain information on characterizing properties of a passenger and / or to generate information on characterizing properties of a passenger in a computerized manner, in particular by means of a person detection device.

[0099] Thus, the characteristic properties can be determined by the personal security screening system itself, in particular by means of the personal detection device and / or the baggage detection device, and / or determined or obtained from external data. The characteristic properties are preferably used for the computerized definition of the reference inventory.

[0100] External influence data can be used as external data. This influence data can also be used for the operation of the digital twin. However, influence data that influences the operation of the personal security screening system can also be used without being taken into account in the digital twin.

[0101] External data, such as external influence data, can therefore be used to computerise the reference inventory (i.e. one or more of the items typically carried).

[0102] External data represents information originating from one or more external data sources and used to specifically influence the behavior of the personal security screening system and / or to describe a situation that influences the behavior of the personal security screening system. The influence data can include, among other things, flight data, boarding data, passenger profiles, frequent flyer status information, booking class, as well as temporary system parameters, forecast data, or feedback from adjacent systems. They are made available to the personal security screening system via suitable communication interfaces and can be included either event-driven and / or continuously and / or at intervals and / or in packets.

[0103] Using this external data, especially external influence data, the system can obtain information about a passenger's destination, purpose of travel, travel class, expected length of stay in the screening area, or other logistical parameters. This data is preferably used to improve passenger categorization and the derivation of typical baggage profiles. This information is used to generate the reference inventory. This can further increase the accuracy of detecting typical missing items, especially when a combination of system-based sensor data acquisition and external data integration is used.

[0104] The characteristics of the passenger and / or the reference inventory can also be determined or co-determined based on the content data. The reference inventory can therefore be defined based on the content data. This allows the characteristics of the person to be inferred from the items handed in, or it can be checked whether related items (e.g., headphones and a playback device) were handed in together.

[0105] Related items can be stored in the reference inventory and / or the reference inventory can be generated computer-based from a list of related items. The list of related items can be generated manually, for example. The list of related items can also be generated computer-based, for example, based on empirical data or supplemented.

[0106] In summary, it can be stated that the characteristic properties of the passenger and / or the reference inventory can be determined in a computerised manner on the basis of the baggage already checked in, i.e. in particular on the basis of the registration data and / or content data, on the basis of the passenger's appearance, i.e. in particular on the basis of the data generated by means of the personal registration data and / or personal content data and / or on the basis of external data.

[0107] The characteristic properties thus determine the typical object whose presence and / or absence is checked computer-based during the procedure, preferably by comparing it with the reference inventory.

[0108] The items present can be identified using the contents data. When generating the baggage screening data, the contents data can be computer-based compared with the reference inventory—that is, the typical items identified based on their characteristic properties. If a typical item is missing, information about its absence is stored in the baggage screening data.

[0109] The absence information can, for example, be stored as information in the baggage screening data, which, when queried, reveals that a typical item is missing and / or which typical item is missing. However, the absence information can also be stored as a control command in the baggage screening data. The control command can, for example, trigger a system response tailored to the missing item.

[0110] The baggage screening data can trigger various actions, particularly system reactions. For example, the passenger security screening system can be controlled using the baggage screening data to regulate the flow of baggage and / or people. For example, if a typical item is detected missing, the flow of people—for example, those working at a baggage claim facility—can be redirected in response. It can be expected that the passenger currently submitting their baggage for screening will search for the item, meaning the next passenger might be quicker if they already go to the next baggage claim facility.

[0111] The baggage screening data is preferably intended to inform the passenger who is currently checking or has checked his or her baggage for screening of the absence of the missing item and / or to instruct him or her to make the missing item available for screening.

[0112] The information can also be provided to the passenger and / or an employee (who is responsible for the personal security screening system) via a device carried on board, in particular a terminal device such as a mobile phone, tablet, or similar. This can be implemented in particular via an app, a push notification, or an output file addressed to the device. The baggage screening data can therefore be designed to be transmitted to a passenger's device and / or to trigger the provision of the output data to the passenger's device in a computerized manner. Nowadays, for example, airline tickets are often stored in a specially designed app. This measure can thus be implemented using the existing infrastructure, thus providing rapid screening. This enables fast, targeted, and resource-efficient interaction with the passenger.

[0113] Particularly preferred is that the passenger is informed by the personal security control system itself about the absence of a typical item.

[0114] Preferably, the method comprises the following step, namely using the baggage screening data to inform a passenger that an item that would have to be presented at the security check may be missing, in particular by means of a passenger information device and / or a passenger guidance system.

[0115] The personal security screening system preferably includes a passenger information device for informing a passenger that an item that would be required to be presented at the security check may be missing.

[0116] Providing targeted information and / or instructions to passengers based on baggage screening data, particularly via the passenger information device, enables a particularly efficient and responsive screening process. Passengers can be notified early on that a typical item may be missing, giving them the opportunity and / or the instruction to submit the item before delays or additional checks occur. This not only improves process speed and system throughput but also increases user-friendliness. The system-integrated passenger information device ensures that the information is provided automatically, context-sensitively, and immediately during the process. This enables adaptive and responsive behavior of the passenger security screening system.In other words, the passenger security screening system can react quickly to the current situation and prompt the passenger to take actions that ensure prompt processing. The baggage screening data is thus used to inform the passenger that an item that would have been presented at the security check may be missing. For this purpose, the passenger security screening system, in particular the baggage acceptance device, can, for example, comprise the passenger information device, for example, a screen and / or a loudspeaker and / or illuminated signs. The passenger information device can also be part of a passenger guidance system.

[0117] For example, if it is discovered that there is no mobile phone in the hand luggage, it is very likely (today for virtually all passengers and flight routes) that the passenger has a mobile phone but forgot to place it in the baggage claim area. The passenger is informed of this via the passenger information device. If the passenger simply left the mobile phone in their trouser pocket, they will now place it in the baggage claim area. This prevents the passenger from only realizing that they have the mobile phone with them when they go through the second personal scanner (e.g., metal detector), thus causing a delay in the security check.

[0118] During the process, computerized behavioral expectation data can also be generated from the baggage screening data. This behavioral expectation data indicates how a passenger will behave based on the item (piece of baggage). The behavioral expectation data can be used in future scenarios to interpret the then available baggage screening data. When computerized generation of the baggage screening data is used, the behavioral expectation data is preferably used to estimate the expected behavior of the passenger. This can be taken into account accordingly in the digital twin. In other words, the passenger behavior of an airport is learned computer-based. After a certain period of time (e.g., 1-12 months), the findings can be used, particularly autonomously, to indicate missing items. For this purpose, another sensor, e.g.,A radar sensor, a millimeter-wave sensor, etc. can be used. The digital twin can therefore also be used to generate baggage screening data or be taken into account in the process.

[0119] It has also proven advantageous to incorporate baggage screening data, particularly as part of the impact data, into the simulation using a digital twin. This allows for potential delays due to missing baggage to be taken into account, thus enabling a more accurate prediction of passenger and baggage flow.

[0120] Regardless of whether the digital twin is included in the baggage screening data or not, it has proven beneficial to check whether a typical item is missing early, i.e. at an early stage of the screening process.

[0121] It has therefore proven advantageous to generate baggage screening data before checked baggage is fed to a scanner, especially while checked baggage is in the baggage acceptance device. It is particularly preferred to generate baggage screening data before the baggage carrier device is closed. Generating baggage screening data early, i.e., before it is fed to the scanner, enables reactive intervention before an erroneous screening process is initiated, which would result in a delay.

[0122] The personal security screening system is therefore preferably designed to check for the absence of a typical item before the baggage is fed to the baggage screening scanner. Particularly preferably, the personal security screening system is designed to detect the absence of a typical item when the baggage submitted for screening is located at the baggage acceptance point, in particular in the baggage acceptance device.

[0123] According to one aspect, the baggage acceptance device is configured to determine whether the typical item is missing. Therefore, during the course of the method, the baggage acceptance device preferably determines whether the typical item is missing.

[0124] Preferably, the personal security control system, in particular the baggage acceptance device, is designed to determine whether the typical object is missing when the baggage carrier devices are loaded or have been loaded, in particular before the baggage carrier devices leave the baggage acceptance point, in particular the baggage acceptance device.

[0125] In the method, it is therefore preferably checked whether the typical object is missing when the luggage carrier device is loaded or has been loaded, in particular before the luggage carrier device leaves the luggage acceptance point, in particular the luggage acceptance device.

[0126] This means that a typical missing item is detected preferentially when items are placed into the security screening system, rather than when they are removed. This means that an item that was forgotten to be checked in is identified. The forgotten item is then detected before the luggage is transported through the security screening system.

[0127] This allows the passenger to be instructed to hand over the item before a follow-up inspection takes place.

[0128] It should be noted that the personal security screening system can be used more generally to provide targeted advertising.

[0129] It may happen that the typical item is discovered missing, whereupon the passenger is asked to submit it. However, the passenger may not only have forgotten to hand it over for inspection, but may have even forgotten to bring it with them. In this case, the passenger can be provided with targeted advertising based on the typical item. For example, if the passenger has forgotten headphones and belongs to a category that presumes they should be carrying headphones, they can be offered advertising and directed to an appropriate store in the airport (or elsewhere, such as an online shop).

[0130] It has therefore proven advantageous to generate recommendation data from the baggage screening data and / or the content data, which is intended to provide targeted advertising.

[0131] As in the context of baggage screening data, the recommendation data can be configured and provided to the passenger via a device external to the personal security screening system, in particular a passenger device, and / or via the personal security screening system itself. Thus, the recommendation data can be configured to activate a response from the passenger information device and / or the external device, for example, via push notifications.

[0132] The personal security control system, in particular its passenger information device, is therefore preferably designed to display content, in particular advertising, on the basis of the recommendation data.

[0133] In addition to the benefits for the airport and the shops located there, this targeted advertising helps make check-in faster and smoother. Instead of passengers delaying the entire screening process, for example, by going back to the parking lot to retrieve the missing item, they are directed to the appropriate shop where they can purchase the item without risking missing their flight or delaying others. This leads to a generally smoother check-in process and thus to the efficient, resource-saving, and rapid operation of the passenger security screening system.

[0134] Regarding baggage screening data, it should be noted again that it has proven advantageous to use computerized methods, particularly through the personal security screening system, to determine whether a typical item is missing from the baggage based on the capture data and / or contents data. Computerized baggage screening data can be generated that indicate whether a typical piece of baggage (or a typical item) is missing.

[0135] A typical item is an item (or piece of luggage) which is usually or typically carried by passengers with similar characteristics (e.g. type of flight (business or private), age, nationality, etc.) on similar flight routes (similar departure location, similar arrival location, similar flight duration).

[0136] Thus, in the method for operating the personal security control system and / or the baggage acceptance device and / or the baggage issue device, preference is given to

[0137] - computerized typical objects determined,

[0138] - computerised identification of the items handed in and - computerised checking of whether a typical item, in particular a typical piece of luggage, is missing.

[0139] The method for operating the personal security screening system, in particular one or more computerized steps of the method, can be performed on a computer. The computer can be part of the personal security screening system or separate from it. In both cases, the computer controls the personal security screening system.

[0140] The method can be implemented in a centralized computing environment. The method can also be implemented in a distributed computing environment.

[0141] The process can be executed on a programmable logic controller.

[0142] Particularly preferably, the method is carried out on a computer which is linked to a programmable logic controller and provides the baggage screening data to the latter, wherein the programmable logic controller is designed to control the personal security screening system or parts thereof on the basis of the output data.

[0143] The detection data and / or person detection data and / or the sensor data may be provided by a sensor external to the personnel security screening system.

[0144] Preferably, the detection data and / or the person detection data and / or the sensor data are obtained from a sensor of the personal security screening system. For example, as discussed in the relevant section, this can be a sensor located in the personal security screening system that detects items of luggage and / or passengers in the personal security screening system.

[0145] The baggage detection device and / or person detection device therefore preferably has at least one sensor, the different designs of the sensor or sensors being discussed below. The sensors described can be provided in the baggage detection device and / or the person detection device. It has proven advantageous if the detection data and / or the person detection data and / or the sensor data relate to at least one of the aspects listed below, in particular describe at least one of the aspects listed below, namely: the detection of a piece of luggage and / or the type of luggage and / or the weight orthe mass of at least one piece of luggage, in particular exactly one single piece of luggage, and / or a dimension of a piece of luggage, for example the volume of a piece of luggage, and / or the detection of a person, in particular a passenger, and / or a property of a person and / or a behavior of a person and / or a temperature.

[0146] The at least one sensor preferably detects the passengers and / or the luggage or baggage in the personal security screening system. Particularly preferably, the personal security screening system includes the sensor.

[0147] The sensor data preferably relate to and / or describe a state of the personal security control system and / or its environment.

[0148] The detection of a piece of luggage and / or a passenger can be achieved using a camera, light barriers, proximity sensors (e.g., time-of-flight, radar, infrared, etc.), touch sensors, or a switch or button. When using a camera, the captured image is preferably evaluated using image recognition to verify the detection of the piece of luggage using software. A similar approach can be used when using radar technology.

[0149] Particularly preferably, the type of baggage is also recorded, for example, whether it is a backpack, a bag, a mobile phone, a set of keys, a wallet, etc. This is preferably recorded using a camera. As discussed, this is particularly advantageous for determining whether the typical items checked in by most airline passengers are missing. The personal security screening system is preferably designed to inform the passenger that such a typical item is obviously missing, i.e., has not been checked in for the purpose of screening. This can also be taken into account in the digital twin, because searching for and subsequently handing over the missing piece of baggage is likely to take some time. The missing item and the resulting delay in screening can thus be taken into account in the simulation.

[0150] The weight (or mass) of at least one piece of luggage can be recorded using scales. Several pieces of luggage can be recorded together. For example, the weight (or mass) of a group of luggage items located on a device, such as a section of a roller conveyor or a conveyor belt, of the personal security screening system can be recorded together. For this purpose, a scale can be provided, for example, which records the mass of the entire device, including the load. Mathematically, the mass of the group of luggage items, for example, can be determined computerized, since the mass of the device is known. However, it has proven particularly advantageous if the weight of the luggage of a single passenger, in particular the weight of a single piece of luggage or a group of luggage items checked in together, is recorded individually.Recording the weight of baggage makes it possible, for example, to determine that the luggage is too heavy. This may mean that this situation must be clarified with the passenger in question and / or that an additional fee must be paid. The same applies if the baggage is oversized. This usually leads to a delay. It can also be used to determine that a typical item is missing, for example because the determined weight of a certain object is too low. If, for example, a laptop bag is recorded visually, particularly using a camera, but the weight does not correspond to a laptop, it can be assumed that the laptop bag is empty. If, for example, the passenger packed the laptop in their backpack in a hurry and forgot that the laptop bag is empty, they can be reminded and instructed to hand over the laptop.

[0151] At least one dimension of a piece of luggage can be recorded or checked, for example, using the camera and / or the light barriers, the proximity sensor, the touch sensor, or the switch or button. As discussed in the context of weight, a delay can also occur if the piece of luggage is too large. The dimensions of the piece of luggage also allow a conclusion to be drawn about the type of item. Once at least one dimension, in particular the volume, of the piece of luggage has been determined, the mass can be calculated or estimated using a computer. For this purpose, a typical density of the piece of luggage or luggage can be assumed, for example. The type of piece of luggage or luggage is preferably determined based on a further sensor. For example, the type of piece of luggage can be determined using a camera, and on this basis a typical density can be assigned to the piece of luggage, from which the weight is determined.Conversely, the volume can of course be determined computer-based from the density and weight.

[0152] The scale can be designed to ensure that downstream components of the personal security screening system are not overloaded. For example, this can ensure that the scanner is not overloaded.

[0153] By capturing a person, especially a passenger, this person can be represented in the digital twin, so that the current situation in the personal security screening system can be simulated as accurately as possible using the digital twin.

[0154] The characteristics of a person, especially a passenger, can include attributes such as their age, origin, gender, clothing style, etc. This allows for an estimate of the person's expected behavior. For example, older people (e.g., 75-year-olds) statistically require longer to be checked than younger people (e.g., 35-year-olds).

[0155] A person's behavior can, for example, determine whether they appear very tired. This also allows us to estimate the person's expected behavior during the check. For example, a tired person will statistically take longer to complete the check than a well-rested person.

[0156] To record the capacity of the baggage conveyor system, the personal security screening system preferably has a sensor for detecting the pieces of baggage at the baggage collection point. Particularly preferably, each baggage collection point has a sensor, in particular a camera, for detecting the pieces of baggage. This makes it possible to precisely determine which baggage was checked in at which baggage collection point. The personal security screening system can also have a sensor for detecting the pieces of baggage at the baggage claim point and / or a sensor that detects that a piece of baggage has reached the baggage claim point. Each baggage claim point preferably has a sensor, in particular a camera, for detecting the pieces of baggage.

[0157] Preferably, the data captured by the scanner is used as sensor data.

[0158] Control data can be provided to control the personal security screening system. The control data can, for example, be provided to operate an actuator of the personal security screening system. An actuator can, for example, be understood as a drive unit. A drive of the baggage handling system can be used as an actuator, for example.

[0159] The baggage screening data may include control data or be configured as control data. The passenger security screening system may therefore be configured to be controlled based on the baggage screening data.

[0160] The control data is intended to control the personal security control system. For example, the influence data may also contain the control data.

[0161] As mentioned, external data, especially external real-time data, such as external influence data provided by an entity separate from the personal security screening system, can be used. This allows for the consideration of influences outside the personal security screening system. For example, planned flights can be considered as external data using flight data, which influences the future utilization of the personal security screening system.

[0162] As mentioned, the external data can concern or describe flight data, but also, for example, weather data, upcoming events and / or holidays, calendar data and / or traffic data.

[0163] The flight data can describe the planned arrival time, the departure time, the planned flight duration, an aircraft type and / or the aircraft size, the number of passengers, the origin of the passengers, the destination of the passengers, the identity of the passengers, the booked travel class of the passengers, the reason for the trip (e.g. business trip, vacation trip, etc.), the recorded or estimated weight of the baggage and / or a special requirement of a passenger (e.g. stroller, wheelchair, diplomatic status, etc.). The flight data can also describe the load volume and / or the possible baggage volume of the aircraft. In particular, the flight data can describe the hand baggage load volume and / or the possible hand baggage load volume of the aircraft. The flight data is particularly preferably used to computerize the expected typical items.

[0164] For both sensor data and external data, it has proven advantageous to use current data, especially real-time data. This allows for rapid consideration of the current situation.

[0165] Furthermore, it has proven advantageous that the influence data include empirical data.

[0166] Empirical data is data based on information from the past. Empirical data is based on data collected in the past that represents information that occurred in the past.

[0167] Preferably, in the course of the procedure, it is learned in a computerized manner which typical object is to be expected depending on the framework conditions (e.g. described by recording data, personal recording data, etc.).

[0168] The empirical data can include historical data, such as historical raw data. For example, past screening documentation data, which includes how many passengers were screened, when, and how long each screening lasted, can be used as historical raw data. The historical raw data can be interpreted during the computerized process. For example, during the computerized interpretation, the expected size, e.g., duration of the screening, number of people expected, number and type of luggage, etc., can be determined. The empirical data can also refer to pre-processed historical data. For example, the expected size may already have been calculated from the aforementioned screening documentation data.

[0169] In both cases, the empirical data can be processed, i.e. interpreted in a computerized manner, or have been pre-processed, for example, using artificial intelligence or a neural network trained with this historical data.

[0170] The experience data can also relate to a relationship, which is described, for example, using a formula or trained artificial intelligence. For example, the experience data can indicate how long a passenger of a certain age is likely to need to go through screening if they are carrying a certain piece of luggage. A passenger between 35 and 45 years old who is carrying a laptop, for example, is likely to have more experience with flight security and can complete it quickly. A passenger over 75 who uses a walking aid, on the other hand, will likely need longer. The experience data can therefore be intended to enable the simulation to take these differences into account. The experience data can also be used to computer-based determine the typical items to be expected.

[0171] The empirical data allows the current situation to be compared with past situations and the expected development to be estimated, for example, the objects expected during the inspection. While the current data, especially the real-time data, enables a particularly accurate representation or mapping of the current operating situation of the physical system in the digital twin, the empirical data allows the most accurate prediction of future developments.

[0172] The experience data and historical data can refer to sensor data and / or external data. For example, sensor data, such as a camera that records how long passengers take to check in their baggage, can be documented and used as experience data for future simulations (e.g., the next day or the next year). Experience data relating to external data can refer to past flight data or past weather data, or a combination of these.

[0173] Preferably, current data, especially real-time data, and empirical data are used together. This allows the current situation to be accurately represented and future developments to be simulated with particular precision and adapted to the current situation.

[0174] The empirical data can, for example, be analyzed using artificial intelligence or be the result of an analysis of historical data using artificial intelligence.

[0175] In general, it has proven advantageous if the influence data (current and / or historical) contain information regarding:

[0176] - the type of aircraft, or the type of aircraft, or the size of the aircraft. This allows for inferences about the number of passengers. Based on empirical data, this allows for estimating the expected passenger flow, since past flights of an aircraft type, for example, have generated comparable passenger flows.

[0177] - the ethnicity and / or nationality and / or (cultural) origin of the passenger or passengers. It has been shown that people of different origins, for example, often carry specific luggage, which can influence the screening process, particularly the duration of the screening. For example, in some regions it is common to wear more (metallic) jewelry. Because this has to be removed for screening, the process takes longer. By using this data, this can be taken into account when simulating the operation of the passenger security screening system. Empirical and / or historical data can be used to identify similar patterns in the behavior of passengers and / or their luggage in the passenger security screening system and to learn from this, particularly using artificial intelligence.

[0178] - the destination of the flight. It has been shown that the destination influences when passengers go through security. For example, there are destinations where passengers statistically go through security very early, while for other destinations they statistically only go through security shortly before departure. It has also been shown that the destination influences what passengers take with them or think they are allowed to take with them. For example, it can happen that more than the permitted amount of liquid is taken because they overlook the fact that sunscreen is also a liquid. The current data can be used to correctly simulate the statistically expected behavior. The empirical data and / or historical data can be used to recognize such patterns and learn from them, particularly with the help of artificial intelligence.

[0179] - The reason for a passenger or group of passengers' trip. The reason for the trip can be private or business, for example. This influences the luggage carried and passenger behavior. This data can also be used to assess the current situation and to identify patterns in experience and / or historical data.

[0180] This influence data is therefore preferably used to computerize the passenger's characteristic attribute. According to the method, the passenger's characteristic attribute is preferably computerized based on the influence data. In other words, the expected items of luggage are determined based on the influence data. This can be compared with the contents data, which determines whether a typical item is missing.

[0181] Particularly preferably, the (physical) personal security control system, as mentioned, comprises the passenger guidance system for guiding the passengers. The passenger guidance system is designed to control or guide the flow of people with the aid of technical measures. The passenger guidance system can have a screen that instructs the passenger to perform certain steps and / or go to a certain position. The passenger guidance system can also have dynamic signposts, for example dynamically illuminated signposts that light up and / or change the color (of the lighting) to instruct the passenger to follow a certain route and / or go to a certain position. The passenger guidance system can also have an acoustic output device, such as a loudspeaker, that acoustically instructs the passenger to perform certain steps and / or go to a certain position.

[0182] The passenger guidance system is therefore controlled based on the baggage check data. For example, if a passenger hasn't yet checked in a typical item (and hasn't acknowledged that they aren't carrying it), they won't be redirected.

[0183] The passenger guidance system can be controlled based on the baggage screening data and / or the recommendation data. The passenger guidance system is designed to guide passengers as a result of this control, i.e., to instruct them to go to a specific location and / or in a specific direction.

[0184] The (physical) personal security screening system, as mentioned, preferably includes the baggage handling system. The baggage handling system is preferably designed to guide baggage into and / or through the scanner. The baggage handling system can, for example, comprise belt conveyors, roller conveyors, and / or chain conveyors. Lifting and / or lowering systems can also be present, as well as systems for changing the transport direction or for switching between transporting parts of the baggage handling system.

[0185] Preferably, the personal security control system is designed, in particular in a computerized manner, to generate first linking data which link at least one piece of luggage to a passenger.

[0186] Preferably, the personal security control system, in particular the baggage dispensing device, is designed to hand over the piece of baggage (during normal operation) only to a passenger who can present the corresponding first linking data or information thereof or to whom the first linking data is assigned.

[0187] The first linking data may, for example, comprise data generated according to an algorithm, e.g., random or pseudo-random. The first linking data may also comprise an ID number, such as a passport number. The linking data may also comprise a combination thereof.

[0188] Preferably, the first linking data contains or is implemented as biometric data. This allows for both a clear and tamper-proof assignment of the baggage to the passenger.

[0189] The first linking data preferably comprises biometric data that can be determined by means of image recognition. Particularly preferably, the biometric data includes a fingerprint (finger line image), automatic gait recognition, facial geometry, hand geometry, hand line structure, hand vein structure, iris (recognition), body height (anthropometry), lip movement (this can also be done in connection with voice recognition (timbre)), a nail bed pattern, an ear shape, a retina (fundus of the eye), keystroke dynamics, a signature (static, dynamic, also handwriting), and / or a dental impression or dental structure, or a combination of the above. In particular, the biometric data includes facial geometry or facial recognition.

[0190] This biometric data can also be used to computerize a characteristic of the passenger.

[0191] Preferably, the linking data, particularly including biometric data, or data collected for creating the linking data, are converted into a hash value and / or token. The hash value and / or token cannot be uniquely converted back into the data on which it is based. For example, image data for facial recognition is preferably generated and converted into a hash value and / or token, thus precluding reconstruction of the image data. Thus, biometric data can be processed while taking data protection into account, for example, in compliance with the GDPR (General Data Protection Regulation).

[0192] This biometric data is preferably collected using a camera.

[0193] The personal security screening system preferably comprises the person detection device for detecting the persons or passengers and determining the biometric data. The person detection device preferably comprises the camera. The baggage acceptance device particularly preferably comprises the person detection device, in particular comprising the camera. This has the advantage that the biometric data can be directly assigned to the baggage in the respective baggage acceptance device. The baggage can thus be assigned to a person, for example, using image recognition, biometrics, or facial recognition, whereby it is determined which baggage is being checked in by which person. This eliminates the need to remember a code or similar device or to carry a (digital) key.

[0194] The person detection device can be provided to provide the sensor data, in particular the real-time sensor data.

[0195] Furthermore, it has proven advantageous to use the data recorded by the person detection device to computerise a passenger’s well-being, in particular their current well-being, and / or a particularly chronic condition, and to generate passenger well-being data and / or passenger condition data representing this. The well-being can, for example, relate to the passenger’s alertness and / or fatigue. However, the well-being can also relate to the passenger’s state of health. The well-being can, for example, relate to the passenger being afraid of flying. The condition can, for example, relate to the passenger requiring an aid such as a cane or a wheelchair. The well-being and / or condition are preferably determined using image recognition.

[0196] The passenger condition data and / or passenger state data are preferably used in the course of the procedure to define the typical items to be expected and / or to determine in a computerized manner how likely it is that a typical item is missing.

[0197] If a passenger appears sleepy or inattentive, for example, they are more likely to forget to hand in an item. Therefore, even if there is only the slightest suspicion that a typical item is missing, it is sensible to trigger an appropriate action and, for example, inform the passenger. If a passenger is wearing typical holiday clothing, for example, the probability that they have a laptop with them could be computerized as "possible" but not as "probable". If the passenger appears attentive, a reference to the laptop would not be useful. However, if the passenger appears inattentive, the computerized reference is still given. This way, the information is not used indiscriminately and retains its effect of providing the passenger with targeted instructions.

[0198] The passenger condition data and / or passenger status data can also be used to control passenger flow. For example, appropriate information or signposts can be displayed on the passenger guidance system. For example, someone with a fear of flying can be directed to an advice center in this way. The data can also be provided and used to control, in particular for the automated and / or autonomous control of passenger flow blocking devices, such as barriers or doors. For example, if it is determined that a passenger is sitting in a wheelchair, a door is opened based on the passenger status data, providing a barrier-free path for people to a second scanner designed for wheelchairs. The passenger condition data and / or passenger status data can also be passed on to external entities.For example, if it is determined that a passenger may be under the influence of alcohol, this information can be passed on to the airline so that it can take appropriate security measures. The airline can also be informed if a passenger appears to be suffering from a fear of flying, based on the interpretation of the sensor data.

[0199] As previously noted, the baggage screening data and / or content data are preferably used to generate targeted advertising. For this purpose, for example, an object or symbol (e.g., a brand or logo) can be recognized by a computer and associated with typical purchasing behavior and / or the passenger can be assigned to a user group. It should be noted that the user group can also be used for grouping to determine the characteristic feature. Preferably, the recommendation data is generated by a computer, which links the passenger to the presumed purchasing behavior or a purchase recommendation and / or assigns the passenger to the user group. For example, a watch from a luxury brand can be an indication that the passenger appreciates luxury items. Recommendation data is therefore generated that recommends displaying appropriately targeted advertising for luxury items.However, if the luggage contains a mobile phone that indicates that the battery level is low and there is no charging cable in the hand luggage, recommendation data can be generated that recommends an advertisement for a charging cable. The advertisement can be presented directly by the personal security screening system. For this purpose, the personal security screening system can, for example, have screens for presenting the advertisement. However, recommendation output data containing the recommendation data can also be generated computerized, e.g. by the personal security screening system. This recommendation output data can, for example, be transmitted to a shop within the security area (e.g. in the duty-free area) or to the airline or aircraft where a corresponding advertisement is shown. This can also be done during the simulation using the digital twin. In this case, the output data can contain the recommendation output data.This measure allows for targeted advertising. This is both financially and environmentally beneficial, because traditional advertising, such as advertising screens that play a user-independent advertising video, requires a lot of energy and is associated with a lower conversion rate and higher customer acquisition costs. This measure thus enables resource savings.

[0200] As mentioned, the measures relating to the baggage acceptance point or the baggage acceptance device are applicable to the baggage claim point, in particular the baggage claim device. The baggage claim device preferably also has a baggage detection device. This allows verification of whether all pieces of baggage have arrived at the baggage claim device and subsequently been collected by the passenger.

[0201] The baggage acceptance point, in particular the baggage acceptance device, is preferably designed according to DE 10 2021 129 504 A1 (filing date November 12, 2021). Specifically, the baggage acceptance device is preferably designed according to the drop-off stations of DE 10 2021 129 504 A1. The complete disclosure of DE 10 2021 129 504 A1, in particular that relating to the baggage acceptance device, is hereby incorporated by reference. It has proven particularly advantageous for the (physical) baggage conveying system to connect a baggage acceptance point with at least two baggage claim points and / or at least two baggage acceptance points with one baggage claim point. This enables optimal utilization of resources because the baggage does not only have to be moved between one baggage acceptance point and one baggage claim point, but also allows the use of free baggage acceptance points or baggage claim points.In general, this allows for optimal utilization of the components of the passenger security screening system. For example, baggage can be optimally distributed within the passenger security screening system to ensure even utilization and reduce or even eliminate congestion or waiting times at individual baggage drop-off and / or baggage claim points.

[0202] Particularly preferably, the scanner is connected to multiple baggage drop-off points and / or multiple baggage claim points. This allows the scanner to be shared by multiple baggage drop-off points and / or baggage claim points, ensuring optimal use of the scanner.

[0203] The baggage conveying system preferably comprises an intersection and / or a switch and / or an entry station and / or exit station in order to connect the baggage collection point(s) and / or baggage collection point(s) to one another.

[0204] Such a personnel security control system with a crossing conveyor system thus allows the optimal utilization of the components of the personnel security control system.

[0205] It has proven advantageous for the (physical) baggage handling system to include a buffer system for temporarily storing baggage. This buffer system could, for example, be a storage buffer.

[0206] A buffer system allows for the temporary storage of luggage while other luggage is transported. The buffer system is preferably designed for the temporary storage of the luggage carrier device. This provides a basis for coordinating the luggage flow with the passenger flow. The method according to the invention makes it possible to coordinate the luggage flow and the passenger flow, in particular to control the luggage flow in a way that is adapted to the passenger flow. For this purpose, the passenger flow can also be monitored by sensors.

[0207] Furthermore, it has proven advantageous for the (physical) baggage handling system to have a first baggage claim point, in particular a first baggage claim device, for baggage that meets a first criterion, and a second baggage claim point, in particular a second baggage claim point, for baggage that meets a second criterion. The baggage handling system transports the baggage to the respective baggage drop-off point depending on whether the first or second criterion is met. The passenger guidance system preferably guides passengers to the first baggage claim point or the second baggage claim point, depending on where their baggage is being transported.

[0208] The first criterion is preferably met by the fact that no follow-up examination or further clarification is required. The second criterion is preferably met by the fact that a follow-up examination or further clarification is required.

[0209] A criterion may also be that the luggage has to be repackaged or specially secured or sealed.

[0210] Preferably, a group of first baggage claim points or baggage claim devices is provided, which are intended for the baggage that meets the first criterion, and a group of second baggage claim points or baggage claim devices is provided, which are intended for the baggage that meets the second criterion.

[0211] Preferably, the at least one baggage acceptance point is connected to at least one first baggage claim point and one second baggage claim point by means of the baggage conveying system and / or the baggage acceptance point is connected to at least two first baggage claim points and / or to two second baggage claim points.

[0212] The division into the first baggage claim point and the second baggage claim point according to the criteria provides the basis for efficient and rapid operation of the passenger security screening system, because those passengers who, for example, do not require a follow-up check can collect their baggage directly and are not delayed by those passengers who do. The method according to the invention makes it possible to control this accordingly and thus operate the passenger security screening system quickly and efficiently.

[0213] The baggage screening data is preferably generated based on data that describes which baggage is present and on data that describes which general conditions exist, e.g. which characteristics of the passenger and / or their journey. This determines which items are typically expected by a specific passenger on a specific journey, i.e. which are typical items that a traveler (with these characteristics) typically carries on this journey. The typical item can also be an item that can be expected for an airport. The typical item can also be an item that can be expected for a passenger in combination with an airport. The typical item can also be an item that can be expected for a passenger regardless of the airport. The typical item can also be an item that can be expected for a passenger regardless of the airport.) be an expected item. At the same time, it is determined which items are present. From this, it is determined whether a typical item is missing. In this case, it is expected that the passenger is still carrying this item. On this basis, the passenger is instructed to check whether they are still carrying the item and / or to hand it in. This ensures that the passenger hands the item in before being subjected to personal security screening, where this would require a follow-up check and delay the operation of the baggage acceptance and / or baggage claim device, i.e. the personal security screening system. These technical measures therefore make a significant contribution to the efficient processing of passengers, which in turn leads to efficient airport operations, reduces aircraft downtime and improves passenger well-being.

[0214] In summary, the invention preferably also relates to a method for generating and / or adapting a reference inventory for baggage checks of, for example, air passengers within the framework of a personal security screening system. In particular, a comparison is made between the items handed in by an air passenger and a predefined, passenger-specific reference inventory to ensure the complete provision of items relevant for screening.

[0215] To do this, the passenger first places their items into an empty baggage carrier, also known as a load carrier or tray. This baggage carrier is scanned, for example continuously, by the baggage detection device, for example by means of an image capture system, in particular a camera integrated into the baggage detection device. The data thus obtained is evaluated by computer, with individual items being recognized and classified from the image data, for example with the help of artificial intelligence (Kl). Content data is therefore generated. The objects identified in this way are then compared with a reference inventory defined in advance for the respective passenger, which is preferably stored in a database and can in particular be based on characteristic properties of the passenger.

[0216] If this comparison reveals that not all typical items contained in the reference inventory could be identified in the captured baggage, an alert is generated indicating that the passenger may not have surrendered all items required for screening. This information can be provided, in particular, as part of the baggage screening data and displayed via a passenger information device.

[0217] In addition, ongoing improvement of the reference inventory is planned. For this purpose, for example, the images captured during the process are saved and subjected to further analysis, particularly taking into account previously unclassified objects. For each detected object, a so-called occurrence probability is determined, i.e., the likelihood with which a particular object regularly occurs among passengers with similar characteristics. Based on this analysis, the existing reference inventory can be adjusted. This is done by adding or removing objects depending on the determined occurrence probabilities. The adjusted inventory is then saved as a new, updated reference inventory and is available for future control processes.

[0218] A typical item is understood to be an item that is usually carried by a passenger or a group of passengers with certain characteristic properties. Typicality, i.e., classification into a group, can be derived, for example, from empirical data, statistical evaluations, and / or established reference inventories. Typical items can include, for example, electronic devices such as mobile phones or laptops, but also other regularly carried items such as document folders, backpacks, handbags, belts, watches, keys, and / or cosmetic items.

[0219] Characteristic characteristics of a passenger are, in particular, features that can be used to categorize the passenger and allow conclusions to be drawn about their typical behavior or typical baggage profile.

[0220] These include, in particular, the passenger's age, gender, origin or cultural affiliation, the purpose of the trip (business or private), the destination, the booked travel class, and the passenger's current state of health, e.g., fatigue, stress, or health restrictions.

[0221] These properties can be determined by sensory detection (e.g. image analysis), by analysis of checked baggage and / or by external influence data (e.g. flight data, booking data).

[0222] External influence data refers, in particular, to external data that is provided to the personal security screening system from outside and is used to specifically influence the system response, data evaluation, or decision logic. This includes, in particular: flight data (e.g., destination, flight number), booking information (e.g.,

[0223] travel class), passenger data (e.g. frequent flyer status), boarding data or other operational parameters of adjacent systems.

[0224] The influence data can be fed into the system in an event-driven, continuous, or interval-based manner. It should be noted that the computerized process steps are executed on one computer (a processing unit, a microprocessor, a personal computer, etc.) or distributed across multiple computers (e.g., via servers). Preferably, at least some computerized process steps, particularly preferably all computerized process steps, are executed by one or more computers (a processing unit, a microprocessor, a personal computer, etc.) of the personal security screening system.

[0225] In general, regardless of whether a typical item is detected, the personal security screening system can generate computerized so-called provision data. The provision data is preferably intended to be provided to external entities, in particular to airline entities. The provision data is preferably generated based on the capture data or corresponds to the capture data. However, the provision data can also include additional data, such as (other) influence data. The provision data represents information relating to the luggage of one or more passengers, such as the weight, size, and type of the respective piece of luggage or a group of luggage.Particularly preferably, at least one piece of information relating to the weight and / or mass of the piece of luggage or group of pieces of luggage is stored in the provision data. The provision data can be provided automatically for each individual piece of luggage or in groups for multiple pieces of luggage. Preferably, allocation is made in groups, with pieces of luggage being allocated according to their flight connection, in particular to a specific travel destination, an intermediate destination, and / or a specific aircraft and / or a flight route. The grouped information is preferably combined into a common unit data record, or the provision data comprises such a unit data record that maps multiple, logically related pieces of luggage.

[0226] These unit data sets can, in particular, contain weight data, which allows the airline to more precisely estimate the total weight of the flight load and thus optimize the calculation of the required fuel quantity. Furthermore, the provision data can also include automatic detection of excess baggage, for example, if the weight of a specific piece of baggage exceeds a predefined threshold. Allocation to a specific passenger can be achieved using link data (either the one mentioned above or different from it). The corresponding information can be provided to the airline so that it can initiate measures to bill the affected passenger for additional costs and / or adjust the aircraft's refueling and / or baggage distribution within the aircraft.The provision data thus serves not only logistical purposes but also enables automated further processing by external systems, for example for load planning, optimizing fuel requirements, or detecting deviations such as excess baggage. Furthermore, they can be used for downstream billing.

[0227] Accordingly, a computerized method for generating provision data relating to at least one piece of luggage of a passenger is preferably provided, the method comprising the following step, namely (computerized) generation of detection data by at least one luggage detection device, the detection data representing information about the respective piece of luggage, in particular information relating to the weight, the size and / or the type of the piece of luggage, (computerized) generation of provision data based on the detection data, the provision data being intended to be provided to external entities, in particular to an entity of an airline.

[0228] Preferably, the method further comprises the step of computerized summarization of a plurality of provision data to form a unit data set, wherein the unit data set comprises a plurality of pieces of luggage that are assigned to a logical group, in particular a travel destination, an intermediate destination, a specific aircraft or a flight route.

[0229] Particularly preferably, the method further comprises the step of transmitting the unit data record and / or the provision data to the external entity, in particular via a defined interface for automated further processing by an entity of the airline.

[0230] The influence data can therefore be processed computer-based and combined into a coherent unit in the unit data set. The unit data set preferably relates to a single passenger or a group of passengers. For this purpose, internal influence data, in particular the recording data, is preferably processed based on external influence data, such as booking information, and output data is generated on this basis.

[0231] Finally, it should be mentioned in general terms that the electronic devices discussed (the device or devices used to carry out the computerized process, the personal security screening system, the sensor, in particular the camera, the scanner, the baggage carrier device, the baggage acceptance device, the baggage issue device, the person detection device, the baggage detection device, the passenger information device, the baggage conveying system, etc.) can of course comprise electronics. The electronics can be discrete or constructed using integrated electronics, or a combination of both. Microcomputers, microcontrollers, Application Specific Integrated Circuits (ASICs), possibly in combination with analog or digital electronic peripheral components, can also be used. Many of the device functionalities mentioned are – if necessary –in conjunction with hardware components – implemented with the help of software running on an electronics processor. Devices designed for radio communication typically have an antenna configuration for transmitting and receiving radio signals as part of a transceiver module. The electronic devices can also have an internal electrical power supply, which can be implemented, for example, with a replaceable or rechargeable battery. The devices can also be powered wired, either by an external power supply or via "Power over LAN," or even by mains power.

[0232] These and other aspects of the invention are apparent from the figures discussed below.

[0233] The invention is explained in more detail below with reference to the accompanying figures using exemplary embodiments, to which, however, the invention is not limited. In the various figures, identical components are provided with identical reference numerals. They show schematically:

[0234] Fig. 1 shows a first perspective view of a personal security screening system; Fig. 2 shows the personal security screening system in a second perspective; Fig. 3 shows a baggage conveyor system of the personal security screening system;

[0235] Fig. 4 Luggage acceptance devices of the

[0236] Personal security control system;

[0237] Fig. 5 shows an embodiment of the baggage acceptance device;

[0238] Fig. 6 a luggage carrier device in a perspective in which the luggage carrier device is detected by a detection device.

[0239] Description of the embodiments

[0240] Figure 1 shows a personal security screening system 1. The personal security screening system 1 has a first area 2 for baggage screening and a second area 3 for personal screening.

[0241] The personal security screening system 1 has several baggage acceptance points 4. For reasons of clarity, the reference numerals are shown for only two baggage acceptance points. Each baggage acceptance point 4 is designed as a baggage acceptance device 40. The baggage acceptance devices 40 are combined into a baggage acceptance device group 41 in one area.

[0242] The luggage acceptance devices 40 are designed such that the luggage G can be deposited in luggage carrier devices 11 and is only transported further in the luggage carrier devices 11 (see Figures 6 and 7).

[0243] Passengers P drop off their luggage G in or at the baggage acceptance device 40. Each baggage acceptance device 40 has a passenger information device 42 for informing the passenger P about the steps they must perform. The passenger information device 42 is part of a passenger guidance system 8 for guiding the passenger through the second passenger screening area 3. The passenger guidance system 8 further has several passenger guidance system screens 9 that instruct the passengers P to move to the appropriate positions.

[0244] After baggage G has been dropped off, it is transported by a baggage conveyor system 10 to a first baggage scanner 7A (not visible here, but see Figure 3). At the same time, passengers P are instructed to proceed to a second scanner 7B.

[0245] The baggage G is scanned in the first scanner 7A and inspected, particularly in a computerized manner. If it is determined, particularly in a computerized manner, that no further inspection is necessary, the baggage is transported to a first baggage claim point 5 (see also Figure 2).

[0246] If, however, it is determined that a follow-up inspection is necessary, the baggage G is transported to a second baggage claim point 6. At the second baggage claim point 6, there is an employee M, for example from the airport, who carries out the follow-up inspection together with the passenger P and clarifies any security-relevant aspects of the baggage G.

[0247] The first baggage claim point 5 and the second baggage claim point 6 are each designed as a first baggage claim device 50 and a second baggage claim device 60, respectively.

[0248] The first baggage dispensing devices 50 and the second baggage dispensing devices 60 are each combined into a first baggage dispensing device group 51 and a second baggage dispensing device group 61, respectively, in one area. The two areas of the first and second baggage dispensing device groups 51 and 61 are spatially separated from one another.

[0249] After the passenger P has passed the second scanner 7B, he or she is informed on the passenger guidance system screen 9 of the passenger guidance system 8 whether a follow-up check is required and is instructed to proceed either to one of the first baggage claim devices 50 or to one of the second baggage claim devices 60. There, he or she can collect his or her baggage G and, if necessary after a follow-up check, leave the personal security screening system 1. The first baggage claim device 50 is structurally constructed essentially like the baggage acceptance device 40.

[0250] The second baggage delivery device 60 is structurally similar to the first baggage delivery device 50 and the baggage acceptance device 40. However, the second baggage delivery device 60 is configured such that the employee M can check the baggage G and then hand it over to the passenger P.

[0251] Figure 2 shows the personal security screening system 1 of Figure 1 from a further perspective, looking at the first baggage dispensing devices 50 and the second baggage dispensing devices 60.

[0252] The reference numerals are shown in Figure 2, as in Figure 1, in a reduced form for the sake of clarity.

[0253] Figure 3 shows the internal structure of the personal security control system 1, i.e. the part of the first area 2 hidden by walls in Figures 1 and 2.

[0254] Figure 3 shows the baggage conveying system 10. The baggage conveying system 10 connects, in a first plane, the baggage acceptance device 40 with the two first scanners 7A and the first baggage issuing devices 50. The baggage conveying system 10 is designed such that the baggage carrier device 11 with the baggage G can be transported from each baggage acceptance device 40 to each scanner 7A and from there to each baggage issuing device 50.

[0255] The baggage conveying system 10 thus connects at least one of the baggage acceptance devices 40A to at least two of the baggage delivery devices 50A and 50B and at least two of the baggage acceptance devices 40A and 40B to at least one of the baggage delivery devices 50A.

[0256] The personal security control system 1 has a first buffer system 12A.

[0257] The baggage conveying system 10 connects the baggage acceptance device 40 to the two first scanners 7A and the second baggage issuing devices 60 via a second level. The baggage conveying system 10 has a baggage distribution device 13, which directs or distributes the baggage G or the baggage carrier devices 11 to one of the first baggage issuing devices 50 or to one of the second baggage issuing devices 60. If, for example, it is determined by computer during scanning using the first scanner 7A that a follow-up inspection is necessary, distribution data is generated by computer. This distribution data is transmitted to the distribution device 13, which then transports the corresponding baggage G to one of the second baggage issuing devices 60. The distribution data forms part of the control data.

[0258] The personal security screening system 1 has a second buffer system 12B. This is located adjacent to the second baggage dispensing devices 60. Corresponding to the first buffer system 12A, the second buffer system 12B provides a buffer for the second baggage dispensing devices 60.

[0259] The baggage conveying system 10 has a baggage carrier return device 14 for returning the baggage carrier device 11 to the baggage acceptance point 4, in particular to the baggage acceptance device 40. The baggage carrier return device 14 runs on a third level. In this exemplary embodiment, the baggage carrier return device 14 is essentially implemented on the third level.

[0260] The personal security screening system 1 has several sensors for detecting the status of the personal security screening system 1. As discussed in the general part of the description, different sensors can be used here. The sensors are represented, for example, by a baggage handling system camera 15, which detects the baggage handling system 10. The baggage carrier device 11 can have an individual, optically perceptible code. Thus, the position of each baggage carrier device 11 can be detected using a camera. Additional sensors can be provided. For example, a radio sensor, such as a near-field communication sensor (NFC sensor for short), and / or a radio frequency identification sensor (RFID sensor for short), can be provided, which detects when a baggage carrier device 11 equipped with a corresponding radio device passes the radio sensor.The sensors generate sensor data, which is provided as part of the influence data for computerized processing using a digital twin.

[0261] Figure 4 shows several of the baggage acceptance devices 40. It should be noted that the baggage delivery device 50 is constructed essentially similarly to the baggage acceptance devices 40. One of the passengers P is standing in front of one of the baggage acceptance devices 40, where he has just dropped off his baggage G. The baggage acceptance device 40 has the passenger information device 42. The passenger information device 42 has a screen 43 and illuminated signs 44. The illuminated signs 44 provide the passenger P with easy-to-understand instructions. The screen 43 is equipped with a touch function (i.e., as a touchscreen) and thus provides an interaction option with an input function for the passenger P. The data generated by the screen 43 can be provided as part of the influencing data.

[0262] The luggage acceptance device 40 has a luggage acceptance opening

[0263] 45 through which the luggage G can be accepted. The luggage acceptance device 40 is designed such that the luggage carrier device 11 can be placed adjacent to the luggage acceptance opening 45 such that the interior of the luggage carrier device 11 can be loaded with luggage exclusively through the luggage acceptance opening 45.

[0264] The baggage acceptance device 40 has a locking device

[0265] 46 to close the baggage acceptance opening 45.

[0266] The baggage acceptance device 40 has a detection device

[0267] 47. The detection device 47 has two camera units.

[0268] On the one hand, the detection device 47 detects the passenger P who is checking in the luggage G and standing in front of the luggage acceptance device 40 in a person detection area 48 of the first camera unit. The detection device 47 thus provides a person detection device. It should be noted that the detection device 47 can also be located elsewhere. For example, it can also be formed behind the passenger information device 42 or together with the passenger information device 42 as a single unit. On the other hand, the detection device 47 detects the luggage G, which is located in the luggage carrier device 11 below the luggage acceptance opening 45, in a luggage detection area 49. The detection device 47 thus provides a luggage detection device.

[0269] For reasons of clarity, only one person detection area 48 and one baggage detection area 49 are shown.

[0270] The detection device 47 thus uses its cameras to detect, on the one hand, the passenger P and, on the other hand, the checked-in luggage G, or the area of ​​the checked-in luggage G. This results, on the one hand, in detection data relating to the luggage G, which can also be referred to as luggage detection data, for example, photo data and / or video data from the images of the luggage or the area for the luggage G, i.e., in this case, the interior of the luggage carrier device 11. On the other hand, this results in detection data relating to the passenger, i.e., passenger detection data, for example, photo data and / or video data from the images of the passenger P.

[0271] From the recorded data, the contents data concerning the baggage or passenger contents data are generated in a computerised manner, which identify the checked baggage G or the passenger as well as its characteristic properties.

[0272] The data acquired by the acquisition device 47, in particular acquisition data and / or content data derived therefrom, are provided as part of the influencing data as in the general part of the description.

[0273] As discussed in the general part of the description, this data is also used to inform passengers when typical baggage is missing and to generate recommendation data for targeted advertising. See Figure 6 for details.

[0274] As discussed in the general part of the description, the linking data is also generated based on the capture data. The linking data comprises biometric data based on images and / or videos captured by the capture device 47. In particular, the linking data is created based on facial recognition of the face of passenger P. The linking data is stored in the system and is available there for further processing at least until the passenger P has left the personal security screening system 1. The passenger P therefore does not have to memorize a code or carry a key, note, or the like. If they go to a baggage claim device 50 (or 60), which is essentially constructed like the baggage acceptance device 40 and also has a capture device 47, they are automatically recognized.The baggage conveying system 10 then brings the baggage carrier device 11 with the passenger P's baggage directly to the baggage collection device 50 (or 60) at which the passenger P is located.

[0275] As discussed in the general part of the description, other linking data may also be used.

[0276] Figure 5 shows the structure of the baggage acceptance device 40. It should be noted again that the baggage issue device 50 is constructed essentially correspondingly to the baggage acceptance devices 40. The baggage acceptance device 40 has a frame 400 and a luggage carrier positioning device 401. The frame 400 supports the luggage carrier positioning device 401. The luggage carrier positioning device 401 is designed to receive the luggage carrier device 11 provided by the baggage conveyor system 10, in particular by the luggage carrier return device 14, and to position it within the baggage acceptance device 40 such that the luggage carrier device 11 can be loaded with luggage G. The luggage carrier device 11 is therefore preferably positioned by the luggage carrier positioning device 401 below (i.e., in the direction of gravity acceleration) the baggage acceptance opening 45.For this purpose, the luggage carrier positioning device 401 can, for example, have a motor, a gear, a belt, etc.

[0277] The luggage carrier device 11 and the luggage acceptance device 40 thus form a closed container which can only be loaded through the luggage acceptance opening 45.

[0278] The luggage carrier device 11 can be configured to be provided with a lid. In this case, the luggage carrier positioning device 401 and / or a separate lid positioning device is preferably configured to open the lid before or during positioning of the luggage carrier device 11 corresponding to the luggage acceptance opening 45 and to close the lid before the luggage carrier device 11 is transferred back to the luggage conveyor system 10.

[0279] The baggage acceptance device 40 has sensors, for example, light grids and / or safety sensors, which detect whether a passenger could injure themselves, for example, by pinching their fingers, which monitor the status of the baggage carrier device 11 and thus of the baggage G. For example, the baggage acceptance device 40 has a sensor that detects when the baggage carrier device 11 has reached the position corresponding to the baggage acceptance opening 45 or has left it again. The sensors provide sensor data that is provided as part of the influence data.

[0280] Figure 6 shows the baggage detection area 49 as viewed through the detection device 47. Figure 6 thus shows the interior of the baggage carrier device 11 located in the baggage acceptance device 40. Figure 6 shows the image stored in the detection data.

[0281] In this scenario, passenger P has already initiated the screening process, scanning their ticket (either previously or during the screening process) and / or establishing a computer-interpretable link between themselves and their baggage using biometric data. The personal security screening system 1 therefore already has the identification of passenger P and has been able to obtain the associated external data, in particular external influence data. This external data includes, for example, the travel class, the flight, the destination, the date of birth, and subsequently the age of passenger P, their gender, etc.

[0282] The luggage carrier device 11 contains two pieces of luggage G: a first piece of luggage G1 and a second piece of luggage G2. The first piece of luggage G1 is a pair of headphones, and the second piece of luggage G2 is a key.

[0283] Based on the captured data, which represents the scenario shown in Figure 6, the content data is generated. The pieces of luggage G1 and G2 are identified using pattern recognition, specifically image recognition. This means that content data is generated which has a first identification ID1, representing the first object G1, and a second identification ID2 representing the second object G2. The identifications ID1 and ID2 indicate the type of object. In this case, the content data lists which objects are present, for example headphones and a key. The content data can also contain location information and / or size information, which indicates where the object is located or how large it is. This helps to better differentiate between other objects added later.

[0284] After the passenger security screening system has generated the contents data, it determines whether a typical item is missing. Baggage screening data is generated to indicate whether the typical item, specifically the typical piece of baggage, is missing.

[0285] For this purpose, a reference inventory is generated computer-based. When generating the reference inventory, the various available information is used. On the one hand, the checked baggage items G1 and G2 are checked to see whether a complementary item is missing and / or whether this can be used to determine a characteristic feature of the passenger. In this specific case, the headphones, item G1, are present, but there is no device that controls the headphones, i.e. no music playback device such as a mobile phone or similar. It can therefore be assumed that the mobile phone (or similar) is missing. The reference inventory is generated computer-based or adjusted so that the mobile phone is added to the list of typical items in the reference inventory.

[0286] From the external data, it was computerized to determine that this was a business trip, and the destination, age, and gender were determined. It is now computerized to determine that business travelers with the characteristics described here typically carry a mobile phone, keys, and a laptop. This can be determined, for example, from empirical data. The mobile phone, keys, and laptop are therefore added to the reference inventory as typical items.

[0287] The detection device 47, as a personal detection device, has detected passenger P, who has just checked in his or her baggage G1, G2, and identified the contents. In doing so, it was computerized that the passenger was wearing jeans. After the computerized record that jeans often also include a belt with a large buckle, the belt is computerized and added to the reference inventory.

[0288] A computerized reference inventory is created, including the key, cell phone, laptop, and belt. The information is overlaid so that, for example, the cell phone, which was identified twice as a typical item, is only listed once.

[0289] Now, the existing baggage items G1 and G2, represented by the contents data, are compared with the reference inventory. This determines that the key is present. The headphones are also present, which would be a non-typical item based on the external data and the assessment based on the personal detection device. Furthermore, it is determined that not all items in the reference inventory are present. Thus, baggage verification data is generated, which indicates that the following typical items are absent, i.e., missing: the mobile phone, the laptop, and the belt.

[0290] The baggage check data is transmitted to the passenger information device 42. The passenger information device 42 is instructed by the baggage check data to request the passenger P to surrender these typical items.

[0291] Since this is not just an arbitrary suggestion, but an item that passenger P is highly likely to be carrying, they will promptly comply with the request and hand over the missing items. This leads to a reduction in manual follow-up checks, shortens the average interaction time, and improves the throughput of the passenger security screening system 1 while maintaining a consistently high level of screening quality. Shortening the average interaction time leads to more efficient and resource-saving operation of the passenger security screening system 1 because, for example, buffer zones 12A and 12B need to be visited less frequently and detours for follow-up screening, i.e., to the second baggage claim device 60, are avoided.The above-mentioned method steps are preferably carried out by the personal security control system 1, in particular by a processing unit, a computer or the like of the personal security control system 1.

[0292] In a preferred embodiment, the system can use historical experience data from comparable scenarios to create or optimize reference inventories of typical items. For example, previous baggage profiles of passengers with similar characteristics (e.g., age, destination) are used. Furthermore, for certain events, such as the accidental non-deposit of a typical item, a probability value can be determined and used in the system's decision logic.

[0293] The data mentioned, in particular the acquisition data, content data, the reference inventory, etc., are stored on one or more digital storage devices.

[0294] Finally, it should be noted once again that the figures described in detail above are merely exemplary embodiments that can be modified in a variety of ways by those skilled in the art without departing from the scope of the invention. For the sake of completeness, it should also be noted that the use of the indefinite articles "a" or "an" does not exclude the possibility that the relevant features may be present multiple times.

Claims

Claims 1. Method for operating a personal security control system (1) and / or a baggage acceptance device (40) and / or Baggage dispensing device (50, 60), the method comprising the following steps: - computerized generation of baggage screening data indicating whether a typical item, in particular a typical piece of baggage, is missing.

2. Method according to claim 1, wherein the baggage checking data is generated on the basis of detection data and / or content data, wherein - the detection data were and / or are generated by a baggage detection device (41), and / or wherein - the content data represents the content of capture data.

3. The method according to claim 2, wherein the method comprises the step: - Generate content data that represents the content of capture data.

4. A method according to any one of claims 2 to 3, wherein the method comprises the step: - generating the detection data by means of the baggage detection device (41).

5. Method according to one of the preceding claims, wherein the baggage checking data is generated on the basis of person detection data and / or person content data, wherein - the person detection data were and / or are generated by a person detection device (47), and / or wherein - the person content data represents the content of person acquisition data.

6. A method according to any one of the preceding claims, wherein the method comprises the step: - computerised obtaining or generation of a reference inventory, whereby the reference inventory represents typical items.

7. Method according to one of the preceding claims, wherein - the baggage screening data are determined depending on at least one characteristic of the passenger (P).

8. The method according to claim 7, wherein the characterizing property comprises the age, gender, origin, cultural affiliation, travel purpose, travel destination, booked travel class and / or a detectable condition of the passenger (P).

9. A method according to any one of the preceding claims, wherein the method comprises the step: - Using the baggage screening data to inform a passenger (P) that an item that would have to be presented at the security check may be missing, in particular by means of a passenger information device (42) and / or a passenger guidance system.

10. Method according to one of the preceding claims, wherein the baggage checking data are generated before dropped baggage (G) is fed to a scanner (7A, 7B), in particular while dropped baggage is located in the baggage acceptance device (40).

11. Method according to one of the preceding claims, wherein recommendation data is generated from the baggage screening data and / or from the content data, which recommendation data is intended to provide targeted advertising.

12. Personal security control system (1) comprising a baggage detection device (41) for detecting baggage (G), wherein the baggage detection device (41) is designed to generate detection data, wherein the personal security control system (1) is designed to to generate baggage screening data computerized, whereby -the baggage screening data is based on the capture data and / or content data representing the content of the capture data, and where - the baggage screening data reflect whether a typical item, in particular a typical piece of baggage, is missing.

13. Personal security control system (1) according to claim 12, comprising a Baggage acceptance device (40) and / or baggage issue device (50, 60), wherein the baggage acceptance device (40) and / or baggage issue device (50, 60) - the luggage detection device (41) for detecting luggage (G).

14. Personal security control system (1) according to one of the preceding claims 12-13, wherein the personal security control system is designed to -to obtain information on the characteristics of a passenger (P) and / or - to generate information on characterizing properties of a passenger (P) in a computerized manner, in particular by means of a person detection device (47).

15. Personal security control system (1) according to one of claims 12-14, wherein the personal security control system (1) comprises a passenger information device (42) to inform a passenger (P) that an item which would have to be presented at the security check may be missing.

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