Method for identifying a movement process and recognition system

By using the method of sensor bars and computing units by using ground edges, multi -sensor sensors and computing units in the recognition system, many people in existing technologies closely follow the problems that are not reliable at any time. Reduce the requirements of the high degree of identification system.

CN113674458BActive Publication Date: 2025-01-24KABA GALLENSCHUTZ
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Patent Information

Application Number
CN202110510161.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Priority Date
2020-05-14
Filing Date
2021-05-11
Publication Date
2025-01-24
Estimated Expiration
2041-05-11

AI Technical Summary

Technical Problem

Prior art In the case where multiple people are closely following, human identification is not reliable enough and requires a height extension through the identification system.

Method used

A method for contactless monitoring of at least one movement process with a plurality of movement states by means of a recognition system uses a ground edge, a multi-sensor sensor strip and a computing unit to detect the movement state and the movement process. Identify. The sensor strip can be extended from the edge of the floor to a height of up to 1300 mm, ensuring reliable detection even in closely followed situations.

Benefits of technology

The reliable recognition of the movement process under high reliability and close followers, reducing the requirements of the height of the identification system, and improving the flexibility and applicability of the system.

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Abstract

The invention relates to a method for contactlessly monitoring at least one movement process (4) having a plurality of movement states (2) by means of a passage recognition system (1), the passage recognition system comprising: a ground edge (51), in particular for being built onto the ground (70) of a passage area to be monitored; at least one first sensor strip (10) extending along a vertical vector (v) and having a plurality of sensors (S11-S18) for detecting the movement states (2) within a detection range (E1-E8) of the sensors (S11-S18); a computing unit (30) for evaluating the movement states (2) and / or the movement process (4). The invention also relates to a computer-implemented method and a passage recognition system (1) for carrying out the method.
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Description

Technical Field

[0001] The invention relates to a method for contactlessly monitoring at least one movement process having a plurality of movement states by means of a passage recognition system, the passage recognition system comprising: a ground edge, in particular for being built onto the ground of a passage area to be monitored; at least one first sensor strip extending along a vertical vector and having a plurality of sensors for detecting movement states within a detection range of the sensors; and a computing unit for evaluating the movement states and / or the movement process. Background Art

[0002] Methods are known in the prior art which detect movement processes, in particular the passage of persons through a detection area or into and / or out of the detection area, by means of a detection unit. At entrances and exits or areas of buildings, in particular areas with restricted access, for example turnstiles, manholes or barriers are used for targeted entry or exit control.

[0003] A disadvantage of the known solutions is that, in particular when a plurality of persons are closely following one another, person identification is not carried out reliably. A further disadvantage is that a high extension of the identification system is required to carry out the method. Summary of the invention

[0004] The object of the present invention is to at least partially overcome the above-mentioned disadvantages. In particular, the object of the present invention is to provide a method and a passage recognition system, wherein the passage recognition system can realize the recognition of individual movement processes with high reliability and / or when the distance between two people or other movable objects following each other is small.

[0005] The object is achieved by a method for contactlessly monitoring at least one motion process having a plurality of motion states by means of a detection system. Advantageous developments of the method are given in the description and in the drawings. In addition, the object is also achieved by a computer-implemented method and / or by a detection system according to the method described above. Advantageous developments of the computer-implemented method and by the detection system are given in the description and in the drawings.

[0006] Features and details described in connection with the method according to the invention also apply in connection with the computer-implemented method according to the invention and the recognition system according to the invention and vice versa. Here, the features mentioned in the description are important to the invention individually or in combination.

[0007] In particular, protection is provided for a passage detection system, by means of which the method according to the invention can be carried out, and for a method which can be carried out by means of the passage detection system according to the invention.

[0008] According to a first aspect of the invention, a method for contactlessly monitoring at least one movement process with multiple movement states by means of a passage recognition system is proposed, wherein the passage recognition system has: a ground edge, in particular for being built on the ground of a passage area to be monitored; at least one first sensor strip extending along a vertical vector and having multiple sensors for detecting movement states within a detection area of ​​the sensors; a computing unit for evaluating the movement states and / or the movement process. The method comprises the following steps:

[0009] - the report of the corresponding sensor of the sensor bar is reactive if the corresponding sensor of the sensor bar detects a certain condition within its detection area, and is inactive if the corresponding sensor of the sensor bar does not detect any condition within its detection area;

[0010] - detecting at least one first movement state and at least one second movement state by means of the at least one first sensor strip with the aid of sensor reports, wherein the first movement state and the second movement state are detected at discrete points in time which respectively follow one another indirectly or directly;

[0011] -Transmitting the motion state to the computing unit;

[0012] - at least one movement process is identified by a computing unit based on the transmitted movement state, wherein

[0013] The first sensor strip, in its installed state, extends to a maximum height of 1300 mm, preferably 1200 mm, particularly preferably 1100 mm, very particularly preferably 1000 mm, starting from the edge of the floor through which the identification system passes.

[0014] In particular, the first sensor strip can extend here from the edge of the floor through which the identification system passes to a maximum height of up to 950 mm, preferably 900 mm, particularly preferably 850 mm, very particularly preferably 800 mm.

[0015] In particular, the first sensor strip can extend here from the edge of the floor passing the identification system to a height of at least 1 mm, in particular 5 mm, in particular 10 mm, in particular 15 mm, in particular 20 mm, in particular 25 mm, in particular 30 mm and at most up to a specified height.

[0016] Here, the floor edge of the through-recognition system means the lowest point on the ground from the installation of the through-recognition system to the through-region. In other words, the first sensor strip in its installed state extends from the floor of the through-region to be monitored to a height of up to 1300 mm, in particular 1200 mm, in particular 1100 mm, in particular 1000 mm, in particular 900 mm, in particular 850 mm, in particular 800 mm. In particular, the floor edge forms a ground-side closure of the through-recognition system. In particular, the floor edge can be the lowest point of the construction foot of the through-recognition system.

[0017] A movement process is here a passage through and / or through the detection area of ​​at least the first sensor bar. Within the scope of the invention, a movement state is to be understood as the instantaneous recording of the detected passage area by at least the first sensor bar. The movement state is thus given in an intuitive way, which sensors detect a certain situation at which position, for example in the form of a newly detected object and / or a person who is in the corresponding detection area at a specific point in time. The movement process can be identified in particular from a comparison of the time aspects of a plurality of movement states. In particular, when further sensor bars are provided, a single movement state can also include the instantaneous recording of the other sensor bars at the same point in time as the instantaneous recording of the first sensor bar.

[0018] In this case, the first movement state does not necessarily have to be the first movement state of the corresponding movement process. It is only decisive that the second movement state is detected chronologically after the first movement state.

[0019] If a particular sensor reports being reactive and another sensor does not report being reactive, the other sensor can automatically report being unresponsive, and vice versa. In other words, the report can be understood as a status of the respective sensor. In particular, based on a data set, in particular 0 or 1, or based on a report about a voltage applied and / or not applied by the respective sensor, it can be determined whether the respective sensor has detected a certain condition or has not detected any condition.

[0020] It goes without saying that the first movement state detected by at least the first sensor strip can be transmitted to the computing unit after the first movement state is detected, and only then the second movement state is detected and subsequently transmitted to the computing unit. It is thus not mandatory to first detect a plurality of movement states and then transmit them to the computing unit, but rather each individual movement state can be detected and transmitted. In particular, movement states can be filtered out, which do not differ from the immediately preceding movement state in terms of the sensor's reporting. That is, such movement states are not transmitted to the computing unit or are not taken into account by the computing unit in this case.

[0021] According to the invention, the through-recognition system can be constructed at half the height based on the maximum height of the sensor bar and does not have to be constructed as high as a person. The through-recognition system can thus have a total height that matches the maximum height of the sensor bar. In this way, the through-recognition system can extend from the ground edge of the through-recognition system to a maximum of 1300 mm, preferably 1200 mm, particularly preferably 1100 mm, more particularly preferably 1000 mm, in particular 900 mm, in particular 850 mm, in particular 800 mm in height. The method can still achieve reliable recognition of the movement process here. As a result, the view within the scope of the system constructed in this way can be improved in particular. In addition, this makes it possible to meet the design requirements of the preferred half-height structure of such a system. In addition, people passing through will feel more comfortable when passing because they are less restrained. The method according to the invention designed in this way can advantageously achieve recognition of the corresponding movement process with high reliability and even when the distance between two people or other movable objects following each other is small.

[0022] In particular, the detection area of ​​the first sensor strip can extend from the edge of the floor through the identification system to a height of at least 1 mm, in particular 5 mm, in particular 10 mm, in particular 15 mm, in particular 20 mm, in particular 25 mm, in particular 30 mm, and up to a maximum of 1300 mm, preferably 1200 mm, preferably 1100 mm, preferably 1000 mm, particularly preferably 900 mm, particularly preferably 850 mm, particularly preferably 800 mm. In particular, for this purpose the beam of the sensor strip can extend perpendicularly to the vertical vector.

[0023] The arrangement of the sensors along a vertical vector means that the sensors are arranged along a line, wherein the line has at least one vertical component. Preferably, the sensors are arranged along a vertical vector, wherein the vertical component of the vector is at least 80 percent, in particular 90 percent, in particular 95 percent, in particular 99 percent of the vector. In particular, the sensors of the first sensor strip can be arranged offset in a vertically extending plane or along a vertical vector.

[0024] The through-recognition system can include further components, in particular a housing in which the sensor strip is integrated and / or an ID reader and / or a ticket reader and / or a lock and / or a door, in particular a mechanically operated one. A housing is understood to be a component that can accommodate one or more elements of the through-recognition system. However, the housing does not necessarily have to be closed to the outside, but rather can include at least one or more openings and / or cutouts.

[0025] In particular, when carrying out access control, an identity reader and / or a ticket reader may be provided. In particular, it may often be necessary here to allow access to only a single person, who may be carrying one or more objects, in the case of a single successfully carried out access control, and / or to record improper use of the rule.

[0026] Alternatively or cumulatively, however, the invention can also be used only to count persons and / or objects passing through the passage area.

[0027] The computing unit can control the sensor, in particular with regard to the operating frequency. The computing unit can have, in particular: a transmitter for transmitting at least one detected movement state and / or a receiver for receiving the detected movement state and / or an evaluation unit for identifying the movement process and / or a provision unit and / or a provision unit and / or a display for showing at least one movement state and / or the movement process.

[0028] The individual sensors can have at least one source and at least one receiver for their detection and / or detect their detection area by means of reflection. In particular, the individual sensors can be designed as optical and / or optoelectronic and / or photoelectric sensors. In particular, cameras can be excluded as sensors, in particular still cameras and / or video cameras. The individual sensors can be designed in particular as light barriers and / or one-way light barriers and / or reflection light barriers and / or infrared light barriers.

[0029] The sensor strip can be designed as a unit consisting of a plurality of assembled and / or connected sensors, in particular on a printed circuit board. Alternatively, the sensor strip can be formed from a plurality of individual sensors, each of which in particular has its own line and / or its own data channel, wherein the individual sensors extend along a vertical vector in their installed state.

[0030] The spacing between the sensors of the sensor strip can always be equal or can vary between the individual sensors. At least one spacing between two sensors, in particular each spacing, can be between 5 mm and 50 mm, in particular between 10 mm and 45 mm, in particular between 15 mm and 40 mm, in particular between 20 mm and 35 mm, in particular between 25 mm and 30 mm.

[0031] In particular, the movement state can be transmitted by means of a bus, in particular a CAN bus. In particular, the movement state can be transmitted to the computing unit serially and / or digitally and / or wirelessly.

[0032] In particular, the first sensor strip can have 2 to 60, in particular 5 to 50, in particular 10 to 40, in particular 15 to 30, in particular 20 to 25 sensors, in particular 24 sensors, in particular 28 sensors.

[0033] According to a development of the invention, at least the first sensor strip has a strip head comprising at least one, in particular a plurality of upper sensors, and a strip body comprising at least one sensor, in particular a plurality of sensors, the strip body being located below the strip head.

[0034] The strip head and / or the strip body can each be configured as a unit consisting of a plurality of assembled and / or connected sensors. Alternatively, the strip head and / or the strip body can be formed by a plurality of individual sensors, in particular the individual sensors each having their own circuits and / or their own data channels, wherein the strip head and the strip body extend along a vertical vector in the installed state.

[0035] In particular, the strip head can extend from the edge of the ground passing through the identification system to a minimum height of 600 mm, in particular 650 mm, in particular 700 mm, in particular 800 mm, in particular 850 mm, in particular 900 mm, and / or a maximum height of up to 1300 mm, preferably 1200 mm, preferably 1100 mm, preferably 1000 mm, in particular 900 mm, in particular 850 mm, in particular 800 mm.

[0036] In particular, the strip head and / or the strip body may each comprise a plurality of sensors. In particular, the strip head may have 2 to 30, in particular 4 to 25, in particular 5 to 20, in particular 10 to 15, in particular 3 sensors. In particular, the strip body may comprise 2 to 60, in particular 5 to 50, in particular 10 to 40, in particular 15 to 30, in particular 20 to 25, in particular 20, in particular 24 sensors.

[0037] Preferably, the detection of the movement process includes direction detection and / or turn detection of the movement process by means of a second sensor strip having at least one sensor, in particular a plurality of sensors, wherein the second sensor strip is arranged next to the first sensor strip, in particular parallel to the first sensor strip.

[0038] This means that the detection area of ​​the sensor is next to the first sensor strip. That is, the detection areas of the two sensor strips are adjacent to each other. In particular, the two sensor strips can be arranged on a virtual plane. In particular, the second sensor strip can extend along a vertical vector.

[0039] Direction recognition can be achieved in that during the movement process in the direction of the first sensor strip in a first movement state, sensors, in particular a certain number of sensors, in particular all sensors of the second sensor strip report a response, and temporally subsequently in a second movement state, sensors, in particular a certain number of sensors, in particular all sensors of the strip header, of the first sensor strip report a response.

[0040] In particular, when the passage is completed, in the subsequent movement state, first the sensors of the second sensor strip, in particular a certain number of sensors, in particular all sensors, report no reaction, and then in the further subsequent movement state, the sensors of the first sensor strip, in particular a certain number of sensors, in particular all sensors at the head of the strip, report no reaction. In contrast to the passage, when turning within the detection range of the sensor strips, which corresponds to an interruption of the passage, in the subsequent operating state, first the sensors of the head of the first sensor strip, in particular a certain number of sensors, in particular all sensors, report no reaction, and then in the further subsequent movement state, the sensors of the second sensor strip, in particular a certain number of sensors, in particular all sensors, report no reaction.

[0041] This applies during a movement in the direction of the second sensor strip and vice versa.

[0042] As a result, the direction and / or the direction of the movement process can be reliably detected. Thus, the detection system can be designed to be passable in two directions.

[0043] In particular, the second sensor strip may have 2 to 30, in particular 3 to 25, in particular 4 to 20, in particular 5 to 15, in particular 8 to 10 sensors. In particular, the second sensor strip may also extend along a vertical vector, the vertical component of which is 80 to 100 percent, in particular 90 to 95 percent, of the vector.

[0044] In particular, the second sensor strip can extend from the floor edge to a height of at least 5 mm, in particular 10 mm, in particular 100 mm, in particular 400 mm, in particular 800 mm and / or up to the height of the first sensor strip. Preferably, the second sensor strip can extend at least above the height of the sensor heads of the first sensor strip.

[0045] The previously described possibilities for the embodiment of the sensor strip and its individual sensors, in particular with regard to the detection and / or the design and / or the spacing and / or the transmission of the movement state, apply correspondingly to the second sensor strip.

[0046] Preferably, the detection of at least one movement state comprises determining the number of sensors reporting a reaction and / or reporting no reaction, in particular within the first sensor strip, in particular within the strip header and / or within the strip body of the first sensor strip, and / or within the second sensor strip. This determination is useful information for reliable identification of the movement process. In particular, this identification can be performed within each movement state.

[0047] Preferably, the movement process is associated with at least one person and / or at least one object. Thus, a technique for detecting passing persons and / or objects can be realized. Objects are understood to be articles.

[0048] Preferably, the movement process is associated with at least one person if within a first movement state all sensors at the head of the first sensor bar and / or all sensors of the second sensor bar report being reactive. It is assumed that only one person can report being reactive within a single movement state at all sensors at the level of the head and / or the second sensor bar.

[0049] Preferably, a movement process is associated with at least one person if within the movement process each individual sensor of the first sensor strip or each individual sensor of the strip body of the first sensor strip reports being reactive at least once, thereby providing reliable person identification.

[0050] This means that in all movement states of an individual movement process, each individual sensor of the first sensor strip or each individual sensor of the strip body reports being reactive at least once, irrespective of when this occurs in the time course of the movement process.

[0051] It is assumed here that the person causes a reaction report from each individual sensor at least once within his movement process. This does not have to occur within a single movement state, but rather within a single movement process in which all of his movement states are present.

[0052] In particular, if within an individual movement state each individual sensor of the first sensor strip or each individual sensor of the strip body reports being reactive, the movement process can be associated with at least one person.

[0053] In particular, the movement process can be associated with at least one person if within a first movement state at least the uppermost sensor of the first sensor bar and / or the uppermost sensor of the bar body reports being reactive and within a second movement state at least the lowermost sensor of the sensor bar and / or the lowermost sensor of the bar body reports being reactive, wherein within a single movement process each individual sensor of the first sensor bar or each individual sensor of the bar body reports being reactive at least once.

[0054] In particular, a movement process can be associated with at least one person if within a first movement state at least the lowest sensor of the first sensor bar and / or the lowest sensor of the bar body reports a reaction and within a second movement state at least the highest sensor of the sensor bar and / or the highest sensor of the bar body reports a reaction, wherein within the movement process each individual sensor of the first sensor bar or each individual sensor of the bar body reports a reaction at least once.

[0055] Preferably, within a movement process, the movement process is associated with at least one person if a report about the first sensor strip, in particular the body of the first sensor strip, is the number of sensors that react, a positive difference is determined at least once and / or a negative difference is determined at least once within a single movement state, between movement states, in particular between movement states that follow each other indirectly or directly in time.

[0056] It is assumed that a person causes at least once during a movement process an increase in the number of sensors of the first sensor strip, in particular the body of the first sensor strip, over time, and / or causes at least once a decrease in the number of sensors of the first sensor strip, in particular the body of the first sensor strip, over time. This allows reliable recognition of a typical step of a person.

[0057] In contrast, a suitcase guided upright will generally generate a constant number of sensor responses over time. In this way, a suitcase guided upright can be reliably identified as just not a person.

[0058] Preferably, the identification of the movement process comprises delimiting the movement process from another movement process based on a separation criterion. This can achieve distinguishing a passing person and / or passing object from the next person and / or the next object and thus counting the people and / or objects.

[0059] Preferably, the identification of a movement process comprises delimiting the movement process from another movement process based on a separation criterion, wherein the separation criterion intervenes if a certain difference is determined between the number of sensors that report a response of a first sensor strip, in particular a strip header, in particular a strip body, within a first movement state and the number of sensors that report a response of a first sensor strip, in particular a strip header, in particular a strip body, within a second movement state.

[0060] Intervention of the separation criterion is understood as delimiting one movement process from another movement process. In particular, the second movement state can already be considered as at least one of the movement states of the other movement process.

[0061] In particular, the separation criterion can be intervened by at least two to twenty, in particular three to fifteen, in particular four to twelve, in particular five to ten reacting sensors in the presence of a difference.

[0062] Preferably, the identification of a movement process includes dividing the movement process from another movement process based on a separation criterion, wherein the separation criterion intervenes if a certain difference is determined within a single movement state between the number of sensors of a first sensor strip, in particular the strip header, which report a reaction and the number of sensors of a second sensor strip, which report a reaction.

[0063] In particular, the separation criterion can intervene in the case of a difference of at least two to ten, in particular three, in particular four, in particular five, reacting sensors.

[0064] This separation criterion allows a reliable separation between the movement processes of individual persons or objects. In particular, this allows a reliable separation of persons even when persons closely follow one another.

[0065] Alternatively or cumulatively, the identification of the movement process includes delimiting the movement process from another movement process based on a separation criterion, wherein the separation criterion intervenes if within a first movement state it is determined that at least one sensor of the strip head and / or the strip body, in particular a specific number of sensors, in particular all sensors report being reactive, wherein within a second movement state at least one sensor of the strip head and / or the strip body, in particular a specific number of sensors, in particular all sensors report being unreactive.

[0066] In particular, the first movement state can be filtered if the number of sensors reporting a reaction of the sensor strip, in particular of the first sensor strip, in particular within the strip body, is less than three, preferably two, particularly preferably one, and in one or more movement states that follow directly one another, the number of sensors reporting a reaction increases by less than three, in particular two. Such filtering reduces the data throughput.

[0067] That is to say, such movement states are not taken into account for the recognition of the movement process. These movement states are caused, for example, by narrow objects such as bag straps or tilted telescopic tubes of a suitcase and can be ignored during movement.

[0068] Alternatively or cumulatively, individual movement states that have not changed relative to the directly following point in time are filtered out.

[0069] According to a further aspect of the invention, the method according to the invention is executed in a computer-implemented manner, wherein the computer is formed by the computing unit and / or an additional computer.

[0070] In particular, for this purpose, a computer program can be used on a data carrier for executing the method. In particular, at least one step, in particular a plurality, in particular all steps of the method can be executed by means of an algorithm running on a computer.

[0071] According to a further aspect of the invention, a passage detection system for carrying out the described method is provided, the passage detection system comprising: a ground edge, in particular for being built onto the ground of a passage area to be monitored; at least one first sensor strip extending along a vertical vector and having a plurality of sensors; a computing unit, wherein the first sensor strip in its installed state extends from the ground edge of the passage detection system to a height of a maximum of up to 1300 mm, in particular 1200 mm, in particular 1100 mm, in particular 1000 mm, particularly preferably 900 mm, particularly preferably 850 mm, particularly preferably 800 mm.

[0072] The execution options described with regard to the method apply correspondingly to the passing through the identification system.

[0073] Such a passage recognition system can be used, for example, in airport control or in office control areas.

[0074] Preferably, the detection system comprises a second sensor strip having at least one sensor, in particular a plurality of sensors, wherein the second sensor strip is arranged next to the first sensor strip, in particular parallel to the first sensor strip, wherein the second sensor strip has fewer sensors than the first sensor strip and / or wherein the second sensor strip is shorter than the first sensor strip and / or wherein the second sensor strip extends beyond the height of the strip head of the first sensor strip. The strip head height refers to the height of the strip head from the ground edge in its installed state.

[0075] Preferably, a third sensor strip is provided, in particular extending below the first sensor strip along a horizontal vector, said third sensor strip having at least one sensor, in particular at least two sensors.

[0076] Arranging the sensors along a horizontal vector means that the sensors are arranged along a line, wherein the line has at least one horizontal component. Preferably, the sensors are arranged along a horizontal vector, wherein the horizontal component is at least 80 to 99 percent, in particular 85 to 95 percent, of the vector. In particular, the sensors of the first sensor strip can be arranged offset in a vertically extending plane or along the horizontal vector.

[0077] In particular, the third sensor strip can be arranged at a height of 3 to 250 mm, in particular 5 to 200 mm, in particular 15 to 165 mm, in particular 25 to 150 mm, in particular 30 to 100 mm, in particular 40 to 50 mm from the floor edge of the passage recognition system and / or from the floor of the passage area. In particular, the third sensor strip can include 2 to 50, 3 to 40, 5 to 30, 10 to 21 sensors.

[0078] In particular, a foot can be detected by means of the third sensor strip. In particular, the detection of a movement process can include the detection of a foot, wherein the movement process is associated with a foot if at a specific discrete time a specific number of sensors, in particular the bottom, of the strip body of the first sensor strip report a reaction and at the same time at least one sensor, in particular at least two sensors, of the third sensor strip report a reaction, wherein at least one sensor of the third sensor strip is arranged behind the first sensor strip in the direction of the movement process.

[0079] In particular, the first sensor strip in its installed state can extend to a height of 600 mm, preferably 500 mm, particularly preferably 400 mm, and very particularly preferably 300 mm from the edge of the floor through which the recognition system passes. Even with such a low embodiment of the first sensor strip, the movement state can still be sufficient for the recognition of human feet, since only the lower area of ​​the human leg is critical for this purpose.

[0080] In particular, if the movement process is associated with a person's feet, the movement process can be associated with a person.

[0081] With the aid of the third sensor strip, the direction of the movement process is detected as an alternative to the second sensor strip or cumulatively.

[0082] In particular, the direction of movement of the movement process can be detected in this case so that at least one first sensor of the third sensor strip and a second sensor of the third sensor strip are arranged next to the first sensor in the direction of movement and report a reaction within the movement process, wherein the second sensor reports a reaction at a later point in time than the first sensor.

[0083] The previously described possibilities for the embodiment of the sensor strip and its individual sensors, in particular with regard to the detection and / or the design and / or the spacing and / or the transmission of the movement state, apply correspondingly to the third sensor strip.

[0084] In particular, the passage detection system can have at least one mechanical barrier for blocking the passage area.

[0085] In particular, when a mechanical barrier is provided, the third sensor strip can extend through the through-region position before and / or after the barrier. In this way, it can be reliably determined whether a person and / or an object actually passes the barrier.

[0086] In particular, the movement state can be converted by means of the conversion unit before and / or after transmission to the computing unit.

[0087] In particular, the movement state can be displayed by means of a display of a computer unit of the recognition system and / or an additional display.

[0088] In particular, the recognition system can include a device, in particular a camera, for biometric recognition, in particular face recognition.

[0089] In particular, the pass recognition system can have at least one head sensor for detecting a detection area, wherein the detection area of ​​the head sensor is located above the housing of the pass recognition system. In other words, the head sensor is designed and / or arranged in such a way that it detects its detection area above the highest point of the housing of the pass recognition system from the ground edge of the pass recognition system. This means that the detection area of ​​the head sensor is located above a virtual horizontal plane, wherein the plane includes the highest point of the housing. This makes it possible to detect movement data at least above the housing by means of a pass recognition system with a small height. This makes it possible to further improve the recognition of movement processes.

[0090] In particular, the housing can be designed as a guide element, in particular for guiding a person through the passage area. In particular, the housing can be bounded upward by an armrest as a housing top, in particular wherein the head sensor can be arranged in or on the armrest.

[0091] In particular, the detection area of ​​the head sensor may be at a height of between 1000 mm and 2200 mm, in particular 1100 mm to 2100 mm, in particular 1150 mm to 2000 mm, in particular 1200 mm to 1900 mm, in particular 1250 mm to 1800 mm, in particular 1300 mm to 1700 mm, in particular 1350 mm to 1600 mm, in particular 1400 mm to 1500 mm from the edge of the ground passing the recognition system. In particular, the detection direction of the head sensor may point obliquely upward.

[0092] In particular, the head sensor can detect its detection area through an area of ​​the housing that is transparent to the head sensor. In particular, a plurality of head sensors can be provided. In particular, the head sensors can be arranged along a horizontal vector, in particular next to one another, and / or along a vertical vector, in particular one above the other.

[0093] The previously described possibilities for the embodiment of the sensor, in particular with regard to the detection and / or construction and / or transmission of the movement state, apply accordingly to the head sensor. In particular, the head sensor can be designed as a reflection sensor. As a reflection sensor, the head sensor detects its detection range by means of reflection. As a result, such a sensor does not require a two-part embodiment consisting of a transmitter and a receiver, but can be designed in one piece. In particular, the head sensor can generate and / or transmit its reports digitally or serially. In particular, the head sensor can be implemented optoelectronically. In particular, the head sensor can be designed as an infrared sensor.

[0094] In particular, a movement process can be associated with a person if the head sensor reports a reaction at least once, in particular multiple times, within the movement process. It is assumed here that only one person causes the head sensor to report a reaction.

[0095] In particular, the pass-through recognition system may include at least one first housing, wherein one or more elements of the pass-through recognition system, in particular a first sensor strip and / or a second sensor strip and / or a third sensor strip and / or a head sensor and / or a scanner, are arranged in and / or at the first housing. In particular, the pass-through recognition system may include at least one second housing, wherein one or more elements of the pass-through recognition system, in particular a head sensor, are arranged in and / or at the second housing. BRIEF DESCRIPTION OF THE DRAWINGS

[0096] Below, further details and advantages of the present invention are explained based on the embodiments partially schematically shown in the drawings. Elements with the same function or mode of action are respectively provided with the same reference numerals. The drawings show:

[0097] Figure 1 A flow chart showing one embodiment of the method according to the present invention;

[0098] Figure 2 A side view of a first embodiment of a passage recognition system according to the invention with two sensor strips is shown;

[0099] Figure 3a A first diagram illustrating a motion process based on a plurality of detected motion states;

[0100] Figure 3b a second diagram illustrating a motion process based on a plurality of detected motion states;

[0101] Figure 4a A diagram illustrating direction recognition;

[0102] Figure 4b A diagram showing turn recognition;

[0103] Figure 5 showing a third diagram based on a plurality of detected motion states;

[0104] Figure 6 a fourth diagram illustrating a motion process based on a plurality of detected motion states;

[0105] Figure 7 The following is a diagram showing a second embodiment of the passage recognition system according to the present invention. DETAILED DESCRIPTION

[0106] Figure 1A flow chart of the method according to the invention is shown with the aid of a passage recognition system 1, which comprises a first sensor strip 10 with a plurality of sensors S11 to S18 for detecting movement states within a detection area E1-E8, a transmitter 21 for transmitting the movement states, a computing unit 30 with a receiver 32 for receiving the movement states, with an evaluation unit 34 for evaluating the movement states, with a provision unit 36 ​​for providing the movement state 2, with a conversion unit 38 for converting the movement state 2 and with a display of the recognized movement process.

[0107] Here, first sensor strip 10 extends along a vertical vector v, wherein its vertical component is 100 percent. First sensor strip 10 is divided into a strip head 11 with four upper sensors S11 - S14 and an exemplary strip body 12 with four lower sensors S15 - S18 .

[0108] exist Figure 2 1 shows a side view of an embodiment of a first passage detection system 1 according to the invention, which has a first sensor strip 10 and a second sensor strip 20 arranged next to and parallel to the first sensor strip 10, the second sensor strip having its sensors S21-S24, a floor edge 51 and a housing 50'. The floor edge 51 is arranged on the floor 70 of the passage area. The first sensor strip 10 extends from the floor edge 51 to a height h. The first sensor strip 10 extends from the floor 70 of the passage area to a height h at the same time. Furthermore, a person moving in direction D and an upright guided box are shown. The number of sensors, the length and the installation height of the second sensor strip 20 correspond to the strip head 11 of the first sensor strip 10. The housing 50' has an overall height H.

[0109] The second sensor strip 10 is used, for example, to supplement the detection of the movement state 2 in order to enable the direction of the detected movement process 4 to be evaluated by the computing unit 30. Figure 4a and 4b Elaborate in detail.

[0110] Figure 3a Show according to Figure 2 The plurality of motion states 2 of a person passing through the recognition system 1. The black filled squares represent the sensors whose reports of the first sensor bar 10 are reactive, wherein Figure 2There are a total of 24 sensors. Unfilled or gray-filled squares represent sensors that report that the second sensor bar 20 is reactive, of which there are a total of four sensors. Empty areas represent sensors that report that the first sensor bar 10 and the second sensor bar 20 are unresponsive. Each column represents a detected motion state 2. The multiple columns result from the time curve distribution of the detected motion states 2, which are detected by the first sensor bar 10 and by the second sensor bar 20, respectively, in chronological order from left to right. Each row represents the detection of one sensor of each sensor bar 10, 20 in the time curve distribution from left to right. Thus, the four upper rows 80 respectively show the detected motion states 2 of the sensors of the bar head 11 of the first sensor bar 10 and the sensors of the second sensor bar 20. The lower rows 20 respectively show the detected motion states 2 of the sensors of the bar body 12 of the first sensor bar 10, wherein the bar body 12 is Figure 2 There are twenty sensors in total.

[0111] In the movement state 110, all sensors of the strip 12 report at least once that they are reactive, wherein the uppermost sensor in 101 and the lowermost sensor in 102 also report that they are reactive. In addition, a positive difference between the movement states in the temporal curve distribution within the movement process 4 is determined below, i.e. a decrease in the number of reactive sensors of the strip 12, which is indicated by arrow 111. For this purpose, a negative difference between the movement states is determined below, i.e. an increase in the number of reactive sensors of the strip 12 in the temporal curve distribution within the movement process 4, which is indicated by arrow 112. In addition, an increase in the number of reactive sensors of the strip 12 has already been determined temporally before the movement state 110. This has the effect of associating the movement process 4 with a person.

[0112] Area 60 also shows when the separation criterion according to the method according to the invention intervenes to delimit one movement process 4 from another. In area 60, the individual sensors of the strip head 11 and of the second sensor strip 20 and the individual sensors of the strip body 12 report no reaction. This results in the intervention of the separation criterion and thus the movement process 4 is considered to be ended.

[0113] with Figure 3a Different in Figure 3b According to Figure 2 The motion state of the box guided upright on the right. Figure 3a In contrast, in the time curve distribution, between the movement states within the movement process, no difference is determined in the number of sensors that react to the report of the strip 12. Therefore, the movement process is not associated with a person, but with an object, for example.

[0114] Thus, with the aid of the method according to the invention and the passage recognition system according to the invention, reliable recognition of persons can be achieved with a simultaneously low performance of the passage recognition system 1 .

[0115] exist Figure 4a Based on Figure 3a The time curve distribution of the number of reactive sensors of the upper four rows 80 is shown. Curve distribution 100 corresponds to strip header 11 of first sensor strip 10 and curve distribution 200 corresponds to second sensor strip 20. In a first step, first all four sensors of second sensor strip 20 report being reactive and then, in time, all four sensors of strip header 11 report being reactive. In a second step, first all sensors of second sensor strip 20 report being unresponsive and, in time, then, all sensors of strip header 11 of first sensor strip 10 report being unresponsive. This results in that, as can be seen in Figure 2 The direction D of the movement process from right to left is shown.

[0116] Different from this, Figure 4b , wherein, in contrast to the above, in a second step first all sensors of strip head 11 of first sensor strip 10 report no reaction and then, temporally, all sensors of second sensor strip 20 report no reaction. This results in the reversal of the movement being detected.

[0117] Figure 5 The figure shows multiple motion states of a person and other people closely following each other. The motion process 4 as a human association is basically similar to Figure 3a The sensors of all strips 12 in 110 that report that they are reactive, the decrease in the number of reactive sensors of strips 12 according to arrow 111, and the increase in the number of reactive sensors of strips 12 according to arrow 112, result in the association of movement process 4 as a person. In area 60, the individual sensors of strip head 11 and second sensor strip 20, as well as the individual sensors of strips 12, report that they are unresponsive. This results in the intervention of the separation criterion and thus movement process 4 is considered to be ended, wherein the next movement process 4' is started at the same time. The sensors of all strips 12 in 120 that report that they are active, the decrease in the number of reactive sensors of strips 12 according to arrow 121, and the increase in the number of active sensors of strips 12 according to arrow 122, result in the association of movement process 4' as a person.

[0118] With the aid of the method according to the invention and the passage recognition system according to the invention, reliable recognition of individual persons is therefore possible in the case of a simultaneously low-profile embodiment of the passage recognition system 1 and when persons closely follow one another.

[0119] Figure 6 Shown by Figure 2 detected by the recognition system 1 according to Figure 2 A plurality of movement states 2 of a person moving from right to left, wherein the body 12 of the first sensor bar 10 has twenty-four sensors and a third sensor bar extending horizontally below the first sensor bar 10 is additionally provided. However, the area 150 here shows the movement state detected with the aid of the third sensor bar in the respective movement state 2'. In this movement state 2', the four lower sensors of the body 12, shown by the area 130, report a reaction. At the same time, at discrete time points in the movement state 2', two sensors, shown by the area 151, report a reaction, wherein one of the sensors is located below the first sensor bar 10 in terms of position and the second sensor is located behind the first sensor bar 10 in the movement direction D. The movement direction here is similar to Figure 4a The representation of is recognized, so that it can be inferred which sensor of the third sensor strip is located behind the first sensor strip 10. The movement sequence shown is therefore associated with a human foot and thus with a human.

[0120] Thus, with the aid of the method according to the invention and the passage recognition system according to the invention, reliable recognition of individual persons is possible in the case of a simultaneously low-profile embodiment of the passage recognition system 1 and when persons closely follow one another.

[0121] Figure 7 The figure shows a second embodiment of a passage recognition system 1' according to the invention, which has a scanner 53, two movable doors 52, a passage status display 58, a schematically shown third sensor bar 25 and a head sensor 45 for detecting a detection area E45 above a first housing 50' and a second housing 50. The head sensor 45 is arranged in a handrail 55 arranged as an upper part of the housing 50 and detects its detection area E45 passing through an area 56 of the handrail 55 that is transparent to the head sensor 45. Arrow 450 is the detection direction of the head sensor 45 extending obliquely upward. The detection area E45 is located above the housings 50, 50', which each have a height H from the ground 70 of the passage area and which is higher than 1200 mm. The first sensor bar 10 and the second sensor bar 20 are schematically shown here and essentially correspond to the previous embodiments.

[0122] By means of such a passage recognition system, a reliable recognition of persons can be achieved in the case of a simultaneously lowered embodiment of the housing 50 , 50 ′ and / or of the passage recognition system.

[0123] Reference numerals list

[0124] D Direction of movement

[0125] H Height

[0126] 1.1' Through the identification system

[0127] 2 Movement status

[0128] 4 Movement process

[0129] 10 First sensor strip

[0130] 11 Headers

[0131] 12 Body

[0132] 20 Second sensor bar

[0133] 25 Third sensor bar

[0134] 30 computing units

[0135] 31 Transmitter

[0136] 32 Receiver

[0137] 34 evaluation units

[0138] 36 units provided

[0139] 38 Conversion Unit

[0140] 40 Display

[0141] 45 Head Sensor

[0142] 50 Shell

[0143] 51 Ground Edge

[0144] 60 Separation Standard

[0145] 70 Passing area ground

[0146] Number of sensors responding to 100 headers

[0147] 110 Person Identification Agency

[0148] 111 The number of sensors responding is reduced

[0149] 112 The number of sensors responding has increased

[0150] 200 The number of sensors that react to the second sensor strip

[0151] S11-S18 Sensors for the first sensor strip

[0152] S21-S24 Sensors for the second sensor strip

[0153] E1-E8, E45 detection area

Claims

1. A method for contactlessly monitoring at least one movement process (4) having a plurality of movement states (2) by means of a through-recognition system (1), the through-recognition system having: a ground edge (51); at least one first sensor strip (10) extending along a vertical vector (v) and having a plurality of sensors (S11-S18) for detecting the movement state (2) within a detection range (E1-E8) of the sensors (S11-S18); a computing unit (30) for evaluating the movement state (2) and / or the movement process (4), wherein the method comprises the following steps: - if the corresponding sensor (S11-S18) of the sensor bar (10) detects a person or an object within its detection area (E1-E8), the sensor (S11-S18) reports being reactive, and if the corresponding sensor (S11-S18) of the sensor bar (10) detects neither a person nor an object within its detection area (E1-E8), the sensor (S11-S18) reports being non-reactive; - detecting at least one first movement state and at least one second movement state by means of the reports of the sensors (S11-S18), at least by the first sensor strip (10), wherein the first movement state and the second movement state are detected at discrete points in time which respectively follow one another indirectly or directly; - transmitting the movement state (2) to the calculation unit (30); - at least one movement process (4) is identified by the computing unit (30) based on the transmitted movement state (2), wherein the first sensor strip (10) in its installed state extends from the floor edge (51) of the passage detection system (1) to a maximum height of up to 1300 mm, in, The detection of the movement process (4) by the computing unit (30) comprises the detection of the direction and / or the detection of the turn of the movement process (4) by means of a second sensor strip (20) having at least one sensor (S21, S22, S23, S24), wherein the second sensor strip (20) is arranged next to the first sensor strip (10), wherein the second sensor strip (20) has fewer sensors than the first sensor strip (10), and / or wherein the second sensor strip (20) is shorter than the first sensor strip (10), and / or wherein the second sensor strip (20) extends beyond the height of a strip head (11) of the first sensor strip (10).

2. The method according to claim 1, It is characterized in that At least the first sensor strip (10) has a strip head (11) including at least one upper sensor (S11-S14) and a strip body (12) including at least one sensor (S15, S16, S17, S18), wherein the strip body is located below the strip head (11).

3. The method according to claim 1 or 2, It is characterized in that The detection of the movement process (4) by the computing unit (30) comprises the detection of the direction and / or the detection of the turn of the movement process (4) by means of a second sensor strip (20) having a plurality of sensors (S21-S24), or The second sensor strip is arranged parallel to the first sensor strip (10).

4. The method according to claim 1 or 2, It is characterized in that The detection of at least one motion state (2) includes determining the number of sensors reporting being reactive and / or reporting being non-responsive.

5. The method according to claim 1 or 2, It is characterized in that The movement process (4) is associated with at least one person and / or with at least one object.

6. The method according to claim 1 or 2, It is characterized in that If within the first movement state all sensors (S11-S14) of the strip header (11) of the first sensor strip (10) and / or all sensors (S21-S24) of the second sensor strip (20) report being reactive, the movement process (4) is associated with at least one person.

7. The method according to claim 1 or 2, It is characterized in that If within the movement process (4) each individual sensor (S11-S18) of the first sensor strip (10) or each individual sensor (S15-S18) of the strip body (12) of the first sensor strip (10) reports at least once that it is reactive, the movement process (4) is associated with at least one person.

8. The method according to claim 1 or 2, It is characterized in that If within the movement process (4), a positive difference is determined at least once and / or a negative difference is determined at least once between the movement states (2) regarding the number of sensors that react to the report of the first sensor strip (10) within a single movement state, the movement process (4) is associated with at least one person.

9. The method according to claim 1 or 2, It is characterized in that The identification of the movement process (4) comprises delimiting the movement process (4) from another movement process (4') based on a separation criterion (60).

10. The method according to claim 1 or 2, It is characterized in that The identification of the movement process (4) comprises delimiting the movement process (4) from another movement process (4') based on a separation criterion (60), wherein the separation criterion (60) intervenes if a certain difference is determined between the number of sensors of the first sensor bar (10) reporting as reactive within the first movement state and the number of sensors of the first sensor bar (10) reporting as reactive within the second movement state.

11. The method according to claim 1 or 2, It is characterized in that The identification of the movement process (4) comprises dividing the movement process (4) from another movement process (4') based on a separation criterion (60), wherein the separation criterion (60) intervenes if a certain difference is determined between the number of sensors (S11-S18) of the first sensor bar (10) that report being reactive and the number of sensors (S21-S24) of the second sensor bar (20) that report being reactive within a single movement state.

12. The method according to claim 1, It is characterized in that The ground edge (51) is intended to be built onto the ground (70) of a passage area to be monitored.

13. The method according to claim 1, It is characterized in that The first sensor strip (10) in its installed state extends from a floor edge (51) of the passage detection system (1) to a maximum height of up to 1200 mm, or The first sensor strip (10) in its installed state extends from a floor edge (51) of the passage detection system (1) to a maximum height of up to 1100 mm, or In its installed state, the first sensor strip (10) extends from a floor edge (51) of the passage detection system (1) to a maximum height of up to 1000 mm.

14. The method according to claim 1, It is characterized in that At least the first sensor strip (10) has a strip head (11) including a plurality of upper sensors (S11-S14) and a strip body (12) including a plurality of sensors (S15-S18), wherein the strip body is located below the strip head (11).

15. The method according to claim 4, It is characterized in that The detection of at least one motion state (2) comprises determining the number of sensors reporting being reactive and / or reporting being non-responsive, said sensors being within the first sensor bar (10) and / or within the second sensor bar (20).

16. The method according to claim 4, It is characterized in that The detection of at least one motion state (2) comprises determining the number of sensors reporting a reaction and / or reporting a non-reaction, the sensors being within the strip head (11) and / or the strip body (12) of the first sensor strip (10).

17. The method according to claim 8, It is characterized in that If within the movement process (4), a positive difference is determined at least once and / or a negative difference is determined at least once between movement states that follow one another indirectly or directly in time, the movement process (4) is associated with at least one person, with respect to the number of sensors that react to the report of the strip body (12) of the first sensor strip (10) within a single movement state.

18. The method according to claim 10, It is characterized in that The separation criterion (60) intervenes if it is determined that within the first movement state, there is a specific difference between the number of sensors that report that the strip head (11) or the strip body (12) is reactive and the number of sensors that report that the strip head (11) or the strip body (12) is reactive within the second movement state.

19. The method according to claim 11, It is characterized in that The separation criterion (60) intervenes if a certain difference is determined between the number of sensors (S11-S18) of the strip head (11) reporting as reactive and the number of sensors (S21-S24) of the second sensor strip (20) reporting as reactive within a single movement state.

20. A computer-implemented method, the method being performed according to any of the preceding claims, wherein the computer is formed by the computing unit (30) and / or by an additional computer.

21. A passage identification system (1) for performing the method according to any one of the preceding claims, comprising: A floor edge (51); at least one first sensor strip (10) extending along a vertical vector (v) and having a plurality of sensors (S11-S18); a computing unit (30), wherein the first sensor strip (10) in its installed state extends from the floor edge (51) of the passage detection system (1) to a maximum height (h) of up to 1300 mm, The passage recognition system (1) comprises a second sensor strip (20) having at least one sensor (S21, S22, S23, S24), wherein the second sensor strip (20) is arranged next to the first sensor strip (10), wherein the second sensor strip (20) has fewer sensors than the first sensor strip (10), and / or wherein the second sensor strip (20) is shorter than the first sensor strip (10), and / or wherein the second sensor strip (20) extends beyond the height of the strip head (11) of the first sensor strip (10).

22. The passage identification system (1) according to claim 21, It is characterized in that The second sensor bar (20) has a plurality of sensors (S21-S24), or The second sensor bar (20) is arranged parallel to the first sensor bar (10).

23. A passage identification system (1) according to claim 21 or 22, It is characterized in that A third sensor strip (25) extending along a horizontal vector is provided, the third sensor strip having at least one sensor.

24. The passage identification system (1) according to claim 21, It is characterized in that The ground edge (51) is intended to be built onto the ground (70) of a passage area to be monitored.

25. The passage identification system (1) according to claim 21, It is characterized in that The first sensor strip (10) in its installed state extends from a floor edge (51) of the passage detection system (1) to a maximum height (h) of up to 1200 mm, or The first sensor strip (10) in its installed state extends from a floor edge (51) of the passage detection system (1) to a maximum height (h) of up to 1100 mm, or The first sensor strip (10) in its installed state extends from a floor edge (51) of the passage detection system (1) to a maximum height (h) of up to 1000 mm, or The first sensor strip (10) in its installed state extends from a floor edge (51) of the passage detection system (1) to a maximum height (h) of up to 900 mm, or The first sensor strip (10) in its installed state extends from a floor edge (51) of the passage detection system (1) to a maximum height (h) of up to 850 mm, or In its installed state, the first sensor strip (10) extends from a floor edge (51) of the passage detection system (1) to a maximum height (h) of up to 800 mm.

26. The passage identification system (1) according to claim 23, It is characterized in that The third sensor bar (25) is arranged below the first sensor bar (10), or The third sensor bar has at least two sensors.

Citation Information

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