阅读说明：本技术 用于无接触监控的通行识别系统和方法 (Traffic identification system and method for contactless monitoring ) 是由 杰拉尔德·德罗尔 阿尔诺·福尔默 于 2021-05-11 设计创作，主要内容包括：本发明涉及一种用于无接触地监控通行区域的通行识别系统(1),具有：至少一个壳体(50)；底缘(51),尤其用于设立到通行区域的底部(70)上；和头部传感器(45),用于对检测区域(45)进行检测。此外,本发明涉及一种用于无接触地监控的方法以及一种用于执行所述方法的计算机实现方案。(The invention relates to a traffic detection system (1) for contactless monitoring of a traffic area, comprising: at least one housing (50); a bottom edge (51), in particular for being set up on a bottom (70) of the passage area; and a head sensor (45) for detecting the detection region (45). Furthermore, the invention relates to a method for contactless monitoring and to a computer-implemented method for carrying out said method.)

1. Traffic identification system (1) for contactless monitoring of traffic zones, having: at least one housing (50); a bottom edge (51), in particular for being set up on a bottom (70) of the passage area; and a head sensor (45) for detecting the detection area (45),

it is characterized in that the preparation method is characterized in that,

the detection area (E45) of the head sensor (45) is located above the housing (50).

2. Traffic identification system (1) according to claim 1,

it is characterized in that the preparation method is characterized in that,

the detection region (E45) of the head sensor (45) can be detected through a region (56) of the housing (50) that is transparent to the head sensor (45).

3. Traffic identification system (1) according to claim 1 or 2,

it is characterized in that the preparation method is characterized in that,

the traffic detection system (1) has an armrest (55), in particular the head sensor (45) is arranged in the armrest (55) and/or the transparent region (56) is arranged in the armrest (55).

4. Passage identification system (1) according to one of the preceding claims,

it is characterized in that the preparation method is characterized in that,

a digital or serial notification can be generated by means of the head sensor (45).

5. Passage identification system (1) according to one of the preceding claims,

it is characterized in that the preparation method is characterized in that,

the head sensor (45) is designed as a reflection sensor.

6. Passage identification system (1) according to one of the preceding claims,

it is characterized in that the preparation method is characterized in that,

at least one first sensor panel (10) which extends along a vertical vector (v) and has a plurality of sensors (S11-S18) is provided, wherein the first sensor panel (10) extends in its installed state from the bottom edge (51) of the traffic detection system (1) to a height (h) of at most 1300mm, preferably 1200mm, particularly preferably 1100m, very particularly preferably 1000 mm.

7. Traffic identification system (1) according to claim 6,

it is characterized in that the preparation method is characterized in that,

at least the first sensor slat (10) has a slat head (11) comprising at least one, in particular a plurality of upper sensors (S11-S14) and a slat body (12) comprising at least one sensor (S15, S16, S17, S18), in particular a plurality of sensors (S15-S18), below the slat head (11).

8. Traffic identification system (1) according to claim 6 or 7,

it is characterized in that the preparation method is characterized in that,

the traffic detection system (1) comprises a second sensor strip (20) having at least one sensor (S21, S22, S23, S24), in particular a plurality of sensors (S21-S24), wherein the second sensor strip (20) is arranged next to the first sensor strip (10), in particular parallel 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 of shorter construction than the first sensor strip (10), and/or wherein the second sensor strip (20) extends at a height above the strip head (11) of the first sensor strip (10).

9. Passage identification system (1) according to one of the preceding claims,

it is characterized in that the preparation method is characterized in that,

a third sensor strip (25) is provided, wherein the third sensor strip (25) has at least one sensor, in particular at least two sensors, and wherein the third sensor strip (25) extends in a horizontal vector, in particular below the first sensor strip (10).

10. Passage identification system (1) according to one of the preceding claims,

it is characterized in that the preparation method is characterized in that,

the traffic recognition system (1) comprises at least one computing unit (30) for processing notifications of at least one of the sensors (45, S11-S18, S21-S24), in particular of a plurality of sensors (45, S11-S18, S21-S24).

11. Method for contactless monitoring of at least one movement process (4) by means of a passage identification system (1) according to one or more of the preceding claims, the passage identification system (1) having a computing unit (30), the movement process (4) having a plurality of movement states (2),

it is characterized in that the preparation method is characterized in that,

at least one first movement state (2) above the housing (50) is detected by means of the head sensor (45) and the first movement state (2) is transmitted to the computing unit (30).

12. The method of claim 11, wherein the first and second light sources are selected from the group consisting of,

wherein the method comprises the steps of:

-the sensor (45, S11-S18, S21-S24) is notified as valid when the respective sensor (45, S11-S18, S21-S24) detects something within its detection region (E45, E1-E8), and the sensor (45, S11-S18, S21-S24) is notified as invalid when the sensor (45, S11-S18, S21-S24) detects nothing within its detection region (E45, E1-E8),

-detecting at least the first motion state (2) and at least one second motion state (2) by means of a notification of at least the head sensor (45), in particular the sensor (45, S11-S18, S21-S24), wherein the first motion state (2) and the second motion state (2) are detected at discrete instants which follow each other indirectly or directly, respectively,

-communicating the motion state (2) to the calculation unit (30),

-identifying at least one motion process (4) by the computing unit (30) based on the transferred motion state (2).

13. The method according to any one of the preceding claims,

it is characterized in that the preparation method is characterized in that,

if the head sensor (45) is declared valid at least once, in particular several times, within the movement process (4), the movement process (4) is associated with at least one person and/or at least one object, in particular the movement process (4) is associated with at least one person.

14. The method according to any one of the preceding claims,

it is characterized in that the preparation method is characterized in that,

the identification of the movement process (4) comprises delimiting the movement process (4) from another movement process (4') on the basis of a separation criterion (90), which intervenes, in particular, if the head sensor (45) is notified as being active at least in the first movement state (2) and as being inactive at least in the second movement state (2).

15. The computer-implemented method of any of claims 11 to 14, wherein the computer is formed by the computing unit (30) and/or an additional computer.

Technical Field

The invention relates to a traffic detection system for contactless monitoring of a traffic area, comprising: at least one housing; a bottom edge, in particular for setting up on the bottom of the traffic region; and a head sensor for detecting the detection area.

Background

Such traffic identification systems are known from the prior art. A disadvantage of the known solutions is that for reliable monitoring a high extension of the traffic identification system is required and/or the monitoring is not reliable enough.

Disclosure of Invention

The object of the present invention is to overcome the above-mentioned disadvantages at least in part, and in particular to provide a traffic recognition system and/or a method, wherein the traffic recognition system enables reliable monitoring, in particular in the case of small heights of the traffic recognition system.

The object is achieved by an embodiment of the invention. Advantageous refinements of the traffic detection system are given in the description and the drawing. Furthermore, the object is also achieved by a method according to an embodiment and/or a computer-implemented method according to an embodiment. Advantageous refinements of the computer-implemented method and of the traffic recognition system are given in the description and the drawing.

The features and details described in connection with the traffic recognition system according to the invention are also suitable here in connection with the method according to the invention and the computer-implemented method according to the invention and vice versa. The features mentioned in this application can in each case individually or in combination reflect the inventive essence.

In particular, a traffic identification system is protected, with which a method according to the invention, in particular a method according to an embodiment of the invention, can be carried out, and a method which can be carried out with a traffic identification system according to the invention, in particular according to an embodiment of the invention.

The traffic detection system for contactless monitoring of a traffic zone, in which the detection region of the head sensor is located above the housing, has at least one housing, in particular a bottom edge for setting up on the floor of the traffic zone, and a head sensor for detecting the detection region.

In other words, the detection region is located in a height above the height of the housing from the bottom edge of the traffic detection system. In other words, the head sensor is designed and/or arranged such that it detects its detection region above the highest point of the housing, starting from the bottom edge of the traffic detection system. This means that the detection region of the head sensor is above a virtual horizontal plane, wherein the plane comprises the highest point of the housing. In the case of a plurality of housings, in particular housings for delimiting the passage area, the detection area can be located on one housing or on a plurality of housings.

The bottom edge of the passage detection system is used to indicate the lowermost point of the passage detection system, the lowermost point being arranged at the bottom of the passage area. In particular, the bottom edge can be the lowermost point of the erection legs of the shell.

A housing is understood to be a component which can enclose one or more elements of the passage identification system. The housing does not necessarily have to be closed to the outside, but rather can comprise at least one or more openings and/or slits.

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 delimited upward by an armrest as an upper part of the housing.

This makes it possible to detect movement data on the housing of the passage recognition system by means of the passage recognition system having a small height. This enables improved monitoring, in particular enabling the detection of movement data which are usually only caused by persons by means of the traffic recognition system according to the invention.

In particular, the detection region of the head sensor can be located in a height of between 1000mm and 2200mm, in particular 1100mm and 2100mm, in particular 1150mm and 2000mm, in particular 1200mm and 1900mm, in particular 1250mm and 1800mm, in particular 1300mm and 1700mm, in particular 1350mm and 1600mm, in particular 1400mm and 1500mm, from the bottom edge of the traffic detection system. In particular, the detection direction of the head sensor may be oriented obliquely upward.

The head sensor can have at least one source and at least one receiver for its detection and/or its detection region detect by means of reflection. In particular, the head sensor can be designed as an optical and/or optoelectronic sensor. In particular, cameras, in particular cameras and/or video cameras, can be excluded here as sensors. The head sensor can be designed in particular as a grating and/or as a one-way grating and/or as a reflection grating. In particular, the head sensor can be designed as an infrared sensor. In particular, the head sensor can be embodied optoelectronically.

The passage recognition system can comprise further components, in particular an identification reader and/or a ticket reader and/or in particular a mechanically operated gate and/or a door.

In particular, the detection region of the head sensor can be detected through a region of the housing that is transparent to the head sensor. The transparent area is transparent to the detection area of the sensor. In particular, the transparent region is transparent to non-visible light, in particular to infrared radiation and/or UV radiation, and/or is formed opaque to visible light. Thereby, the detection area is detected through the transparent area. The rest of the housing can be opaque. The transparent region can be formed in particular partially or completely unidirectionally or bidirectionally. In particular, the transparent region can be designed such that it is not transparent to the human eye.

In particular, the head sensor can be arranged in or on the housing. In particular, the housing can have an upper wall and/or a side wall, wherein the transparent region can be arranged in the upper wall or in the side wall.

Preferably, the traffic recognition system has a handrail. In particular, the head sensor and/or the transparent region can be arranged in the armrest. The armrest can be designed as an upper part of the housing and/or bound the housing upward. In particular, the transparent region can be arranged in a side wall or in an upper side of the handrail. Such a handrail can be inserted in a new housing as an upper housing part or in a modular manner in an existing housing.

Preferably, a digital or serial notification can be generated by means of the head sensor. In other words, the head sensor is designed such that it can generate and/or transmit digital or serial notifications from the detection data detected by it. In particular, the head sensor CAN transmit its detection data, in particular wirelessly, to a bus system, in particular a CAN bus system, or directly to a computing unit, in particular to a receiver of the computing unit, in particular by means of a transmitter. In particular, the head sensor can be embodied optoelectronically.

Preferably, the head sensor is designed as a reflection sensor. As a reflection sensor, the head sensor detects its detection area by means of reflection. Thus, such a sensor does not require a two-part design of transmitter and receiver, but can be designed in one piece. Thereby, the overall height of the housing and/or of the passage identification system can be reduced.

Preferably, at least one first sensor strip running along a vertical vector and having a plurality of sensors is provided, wherein the first sensor strip in its installed state extends from the bottom edge of the traffic detection system up to a height of 1300mm, preferably 1200mm, particularly preferably 1100mm, more particularly preferably 1000 mm. In particular, the first sensor strip can extend from the bottom edge of the traffic detection system to a height of 950mm, in particular 900mm, in particular 850mm, in particular 800 mm. In particular, the first sensor strip can be arranged in or on the housing or in or on a further housing. The housing and/or the traffic detection system can be designed to be relatively low, in particular half-height, and not necessarily one-man-height, due to the maximum height of the first sensor strip.

In other words, the first sensor strip, in its installed state, extends from the bottom of the traffic region to be monitored up to a height of 1300mm, in particular 1200mm, in particular 1100mm, in particular 1000mm, in particular 900mm, in particular 850mm, in particular 800 mm. In particular, the bottom edge forms a bottom-side closure of the passage identification system.

The sensors are arranged along a vertical vector, meaning 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 amounts to at least 80, in particular 90, in particular 95, 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. In particular, the first sensor strip can extend from the bottom edge of the traffic detection system at a minimum from a height of 1mm, in particular 5mm, in particular 10mm, in particular 15mm, in particular 20mm, in particular 25mm, in particular 30mm, and at a maximum to the specified height.

In particular, the detection region of the first sensor panel can extend from the bottom edge of the traffic detection system at a minimum from a height of 1mm, in particular 5mm, in particular 10mm, in particular 15mm, in particular 20mm, in particular 25mm, in particular 30mm, and at a maximum to a height of 1300mm, preferably 1200mm, preferably 1100mm, preferably 1000mm, in particular 900mm, in particular 850mm, in particular 800 mm. In particular, the radiation to this sensor strip can run perpendicular to the vertical vector.

The individual sensor can have at least one source and at least one receiver for its detection and/or its detection region by means of reflection. In particular, the individual sensors can be designed as optical and/or optoelectronic sensors. In particular, cameras, in particular cameras and/or video cameras, can be excluded here as sensors. The individual sensors can be designed in particular as a grating and/or a one-way grating and/or a reflection grating and/or an ir grating. The sensor strip can be designed as a unit consisting of a plurality of assembled and/or interconnected sensors, in particular on a circuit board. Alternatively, the sensor strip can be formed from a plurality of individual sensors, which in particular each have their own line and/or their own data channel, wherein the individual sensors, in their installed state, run along a vertical vector. The spacing between the sensors of the sensor strip can always be the same or vary between the sensors. At least one distance, in particular each distance, between the two sensors can be between 5mm and 50mm, in particular between 10mm and 45mm, in particular between 15mm and 40mm, in particular between 20mm and 35mm, in particular between 25mm and 30 mm. 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, in particular 24, in particular 28 sensors.

According to a further 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 below the strip head comprising at least one, in particular a plurality of sensors. The slat head and/or the slat body can each be designed as a unit consisting of a plurality of assembled and/or interconnected sensors. Alternatively, the slat head and/or the slat body can be formed from a plurality of individual sensors, which in particular each have their own line and/or their own data channel, wherein the slat head and the slat body extend along a vertical vector in the installed state. In particular, the slat head can extend, starting from the bottom edge of the traffic identification system, at a minimum from a height of 600mm, in particular 650mm, in particular 700mm, in particular 800mm, in particular 850mm, in particular 900mm, and/or at a maximum to a height of 1300mm, in particular 1200mm, in particular 1100mm, in particular 1000mm, in particular 900mm, in particular 850mm, in particular 800 mm. In particular, the slat head and/or the slat body can each comprise a plurality of sensors. In particular, the slat head can comprise 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 slat body can 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.

Preferably, the traffic 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 at 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 of shorter design than the first sensor strip and/or wherein the second sensor strip extends above the height of the strip head of the first sensor strip. The detection area of the sensor next to the first sensor strip is mentioned here. This means that the detection regions of the two sensor strips are arranged side by side. In particular, two sensor strips can be arranged on a virtual plane. In particular, the second sensor strip can extend along a vertical vector. In particular, the second sensor strip can 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 can likewise extend along a vertical vector, the vertical component of which amounts to 80 to 100, in particular 90 to 95 percent of the vector. In particular, the second sensor strip can extend from the bottom edge at a minimum from a height of 5mm, in particular 10mm, in particular 100mm, in particular 400mm, in particular 800mm, and/or at a maximum to the height of the first sensor strip. Preferably, the second sensor strip can extend at least over the height of the sensor head of the first sensor strip.

The above-described possibilities of the first sensor strip and of the individual sensors thereof, in particular with regard to the embodiment for detecting and/or configuring and/or spacing and/or transmitting the movement state, apply correspondingly to the second sensor strip.

Preferably, a third sensor strip is provided, in particular below the first sensor strip, which extends along a horizontal vector and has at least one sensor, in particular at least two sensors. The arrangement of 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 components add up to at least 80 to 99, in particular 85 to 95 percent of the vector. In particular, the sensors of the first sensor strip are arranged offset in a vertically extending plane or along a horizontal vector.

In particular, the third sensor strip can be arranged in a height of 3 to 250mm, in particular 5 to 200mm, in particular 15 to 165mm, in particular 25 to 150mm, in particular 30 to 100mm, in particular 40 to 50mm, starting from the bottom edge of the traffic detection system and/or starting from the bottom of the traffic region. In particular, the third sensor strip can comprise 2 to 50, 3 to 40, 5 to 30, 10 to 21 sensors.

The above-described possibilities of the sensor strip and of the embodiments of the individual sensors thereof, in particular with regard to the detection and/or the structural manner and/or the spacing and/or the transmission of the movement states, apply correspondingly to the third sensor strip.

In particular, the passage detection system can have at least one mechanical closure for closing off the passage area. In particular, if a mechanical blocking element is provided, the third sensor strip can extend above the passage area at a point before and/or after the blocking element. In this way, it can be reliably determined whether a person and/or an object has actually passed the closure.

Preferably, the traffic identification system comprises at least one computing unit for processing at least one notification to at least one sensor, in particular a plurality of sensors, in particular all sensors.

The respective sensor is notified (Meldung) as valid (aktiv) when the sensor detects something within its detection zone, and the respective sensor is notified as invalid (passiv) when the sensor does not detect anything within its detection zone. If one sensor is declared valid while the other sensors are not declared valid, the other sensors can be automatically declared invalid and vice versa. In other words, the notification can be interpreted as a status state of the corresponding sensor. The notification can be done digitally or serially. In particular, the notification can take place in the region of the data set, in particular 0 or 1, or in the region of the applied and/or non-applied voltage with respect to the respective sensor, depending on whether the respective sensor detects something or nothing. At least one notification of at least one sensor can be processed, in particular evaluated, by means of the computing unit.

In particular, the traffic identification system can comprise a device for biometric identification, in particular facial identification, in particular a camera.

According to a further aspect of the invention, a method for contactless monitoring of at least one movement process having a plurality of movement states by means of a traffic detection system according to the invention having a computing unit is proposed, wherein at least one first movement state above the housing is detected by means of a head sensor and is transmitted to the computing unit.

The movement state is understood within the scope of the invention to mean that the detected traffic region is snapshot by at least one sensor of the traffic detection system, in particular a head sensor. The movement state thus intuitively indicates which sensor detects something, for example in the form of an object and/or person newly recognized at discrete points in the respective detection area.

By means of the method, a relatively low height can be achieved by means of the passage recognition system, and movement data on at least the housing of the passage recognition system are detected and processed, in particular evaluated. This can improve the reliability of the method. The field of view in the region of the system thus formed can thus be improved in particular. Furthermore, it is possible to achieve a meeting of design requirements which make the construction of such a system half-height preferred. In this regard, the passing person feels more comfortable when passing because it feels less narrow.

In particular, at least one motion state CAN be transmitted by means of a bus, in particular a CAN bus. In particular, the at least one motion state can be transmitted serially and/or digitally and/or wirelessly to the computing unit.

Preferably, the method comprises the steps of:

-the respective sensor is notified as valid when it detects something within its detection area, and the respective sensor is notified as invalid when it does not detect anything within its detection area,

detecting at least a first motion state and at least a second motion state by means of at least a head sensor, in particular a plurality of sensors, by means of a notification of at least a head sensor, wherein the first motion state and the second motion state are detected at discrete instants which respectively follow each other indirectly or directly,

-transferring the motion state to a calculation unit,

-identifying at least one motion process by the computing unit based on the transferred motion state.

The movement process is here a passage through and/or through the detection region of at least the first sensor strip. The movement process can be identified in particular from a temporal comparison of a plurality of movement states. In particular, when the other sensors are provided, the single motion state can also comprise snapshots of the other sensors at the same time as the snapshot of the head sensor.

The first motion state does not necessarily have to be the latest motion state of the respective motion sequence. The only decisive factor is that the second motion state is detected after the first motion state in chronological order.

It is obvious that the transmission of the detected first movement state to the computing unit can take place temporally after the detection of the first movement state, before the second movement state is then detected and subsequently transmitted to the computing unit. It is therefore not mandatory that a plurality of movement states be detected first and only then be transmitted to the computing unit in time, but rather that each individual movement state be detected and transmitted. In particular, motion states in which the notification about the sensor does not deviate from the immediately preceding motion state can be filtered out. This means that this movement state is not transmitted to the computing unit or taken into account by the computing unit in this case.

The method enables a reliable recognition of the course of movement in a relatively low design of the traffic recognition system. The field of view in the region of the system thus formed can thus be improved in particular. Furthermore, it is possible to achieve a meeting of design requirements which make the construction of such a system half-height preferred. In this regard, the passing passenger feels more comfortable when passing because it feels less narrow. The method according to the invention thus formed advantageously enables a corresponding movement sequence to be recognized with high reliability and even with a small distance between two persons or other moving objects following each other.

In particular, when access control is performed, an identification reader and/or a ticket reader can be provided. In particular, it is often necessary to permit access and/or to record the misuse of the rule only for a single person, possibly together with one or more objects, in the case of a single successful implementation of the access control.

Alternatively or cumulatively, however, the invention can also be used only for counting persons and/or objects passing through the traffic area.

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

Preferably, the course of motion is associated with at least one person and/or at least one object. This enables counting of passing persons and/or objects. An entity is understood to be an object. In particular, the movement process can be associated with at least one person when the head sensor is notified as being active at least once, in particular a plurality of times, during the movement process. It is assumed here that only a person causes the head sensor to be notified as valid, since the detection region of the head sensor is located above the traffic detection system and is usually not reached by, for example, a physical object such as a hand luggage.

In particular, the movement process can be associated with at least one person when in the first movement state all sensors of the slat head of the first sensor slat and/or all sensors of the second sensor slat are notified as being active. It is assumed here that only one person in a single movement state has all sensors in the height of the slat head and/or the second sensor slat notified as valid.

In particular, the course of movement can be associated with at least one person when each individual sensor of the first sensor slat or each individual sensor of the slat body of the first sensor slat is notified at least once as being active during the course of movement. Thereby, a reliable person identification is provided. This means that, in the entire movement state of the individual movement sequence, each individual sensor of the first sensor slat or each individual sensor of the slat body is notified at least once as being active, irrespective of when this occurs in the time profile of the movement sequence. It is assumed here that the person causes each individual sensor to be notified as valid at least once during his movement. In this case, this does not have to take place in a single movement state, but rather in a single movement sequence in which all of its movement states are present.

In particular, the movement process can be associated with at least one person when each individual sensor of the first sensor slat or each individual sensor of the slat body is declared to be active within a single movement state. In particular, the movement sequence can be associated with at least one person when in the first movement state at least the uppermost sensor of the first sensor slat and/or the uppermost sensor of the slat body and in the second movement sequence at least the lowermost sensor of the sensor slat and/or the lowermost sensor of the slat body are notified as being active, wherein in a single movement sequence each individual sensor of the first sensor slat or each individual sensor of the slat body is notified as being active at least once. In particular, the movement sequence can be associated with at least one person when in a first movement sequence at least the lowermost sensor of the first sensor slat and/or the lowermost sensor of the slat body and in a second movement sequence at least the uppermost sensor of the sensor slat and/or the uppermost sensor of the slat body are notified as being active, wherein in the movement sequence each individual sensor of the first sensor slat or each individual sensor of the slat body is notified as being active at least once.

In particular, a movement sequence can be associated with at least one person if, within a single movement sequence, a positive difference and/or a negative difference is determined at least once between the movement sequences, in particular between movement sequences which follow one another indirectly or directly in time, with respect to the number of sensors which are notified as being valid by the first sensor strip, in particular the strip body of the first sensor strip. It is assumed here that the person causes at least once during the movement process the number of active sensors of the first sensor strip, in particular of the strip body, to increase in the time-continuous course and/or at least once to decrease in the time-continuous course. This enables a typical step of reliably identifying a person. In contrast, standing guided hand luggage usually results in a constant number of active sensors in the time profile. In this way, a standing guided trolley can be reliably prevented from recognizing an adult.

Preferably, the identification of the course of motion comprises separating the course of motion from other courses of motion based on a separation criterion. This enables to distinguish and thus count passing persons and/or passing objects from next persons and/or next objects.

In particular, the separation criterion can intervene when the head sensor is notified as being active at least in a first movement state, in particular in a plurality of movement states directly following one another, and as being inactive at least in a second movement state, in particular in a plurality of movement states following one another.

The intervention of the separation criterion is understood as delimiting an athletic performance from other athletic performances. In particular, the second motion state can already be used as at least one of the motion states of the other motion sequences.

In particular, the separation criterion can intervene if a specific difference between the number of sensors of the first sensor strip, in particular the strip head, in particular the strip body, which are reported to be valid in the first movement state and the number of sensors of the first sensor strip, in particular the strip head, in particular the strip body, which are reported to be valid in the second movement state is determined.

In particular, the separation criterion can intervene if the difference between the effective sensors is at least two to twenty, in particular three to fifteen, in particular four to twelve, in particular five to ten.

In particular, the separation criterion can intervene when a difference between the number of sensors reported as being valid in the first sensor strip, in particular in the strip head, and the number of sensors reported as being valid in the second sensor strip is determined within a single movement state.

In particular, the division criterion can intervene if the difference between the effective sensors is at least two to ten, in particular three, in particular four, in particular five.

Such a separation criterion enables a reliable separation between the courses of movement of individual persons or objects. In particular, a reliable person segmentation can be achieved even in cases where the persons follow each other closely.

Alternatively or cumulatively, the identification of the movement sequences can comprise a separation of one movement sequence from another movement sequence on the basis of a separation criterion, wherein the separation criterion intervenes when in a first movement state at least one, in particular a specific number, in particular all, of the sensors of the slat head and/or the slat body is declared valid, wherein in a second movement state at least one, in particular a specific number, in particular all, of the sensors of the slat head and/or the slat body is declared invalid.

In particular, if the first movement state has a number of sensor strips, in particular first sensor strips, in particular within the strip body of up to three, preferably two, particularly preferably one, indicated as valid sensors, the first movement state can be filtered out, and in one or more respectively directly following movement states the number of indicated as valid sensors is increased by less than three, in particular by two. This filtering reduces the data traffic. That is, this motion state is not used to identify the motion progress. This movement state is caused, for example, by narrow objects, such as straps or obliquely held shrink tubes of a trolley, and can be ignored in the method.

Alternatively or cumulatively, it is possible to filter out motion states that do not change with respect to the time directly following them.

In particular, the detection of the course of motion can comprise a direction detection and/or a direction change detection of the course of motion 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, in particular parallel to, the first sensor strip. The direction detection can be carried out in that, during the course of the movement in the first movement state toward the first sensor strip, the sensors of the second sensor strip, in particular a specific number of sensors, in particular all sensors, are notified as being active and, after this, the sensors of the first sensor strip, in particular a specific number of sensors, in particular all sensors of the strip head, are notified as being active in the second movement state.

In particular, during the passage, in a further immediately subsequent movement state, the sensors of the second sensor strip, in particular a specific number of sensors, in particular all sensors, are first notified as being inactive, and then in a further immediately subsequent movement state, the sensors of the first sensor strip, in particular a specific number of sensors, in particular all sensors of the strip head, are notified as being inactive. In contrast to the case of a pass, when a turn is made within the detection region of the sensor panel (which corresponds to an interruption of the pass), in a further immediately subsequent movement state, first the sensors, in particular a specific number of sensors, in particular all sensors, of the panel head of the first sensor panel are notified as being inactive, and thereafter in a further immediately subsequent movement state the sensors, in particular a specific number of sensors, in particular all sensors, of the second sensor panel are notified as being inactive.

This applies in each case in reverse during the course of the movement toward the second sensor strip. Thus, the direction and/or direction of the course of movement can be reliably recognized. The passage detection system can thus be configured to be accessible in both directions.

In particular, the detection of the at least one movement state can comprise a determination of the number of sensors that are reported as being valid and/or the number of sensors that are reported as being invalid, in particular within the first sensor strip, in particular within the strip head and/or the strip body of the first sensor strip, and/or within the second sensor strip. This determination is useful information for reliably identifying the course of motion. In particular, such detection can be carried out within each movement state.

In particular, a person's foot recognition is possible by means of the third sensor strip. In particular, the identification of the movement sequence can comprise a human foot identification, wherein the movement sequence is associated with a human foot if, at a particular discrete time, a particular number of, in particular lower, sensors of the slat body of the first sensor slat are notified as being active and at the same time at least one sensor, in particular at least two sensors, of the third sensor slat are notified as being active, wherein the at least one sensor of the third sensor slat is arranged behind the first sensor slat in the direction of the movement sequence.

In particular, the first sensor strip can extend in its installed state from the bottom edge of the traffic detection system up to a height of 600mm, preferably 500mm, particularly preferably 400mm, very particularly preferably 300 mm. In such a low embodiment of the first sensor strip, however, the movement state is sufficient for the identification of the person's foot, since only the lower region of the person's leg is decisive for this.

In particular, when an athletic performance is associated with a person's foot, the athletic performance can be associated with the person.

By means of the third sensor strip, the direction of the movement sequence can be recognized alternatively or cumulatively to the second sensor strip. In particular, the identification of the direction of movement of the movement sequence can be carried out in such a way that at least one first sensor of the third sensor strip and a second sensor of the third sensor strip are arranged downstream of the first sensor in the direction of movement and are notified as valid within the movement sequence, the second sensor being notified as valid at a later time than the first sensor.

In particular, the movement state can be converted by means of the conversion unit before and/or after being transferred to the calculation unit. In particular, the movement state can be shown by means of a display of the computing unit and/or an additional display of the traffic detection system.

According to a further aspect of the invention, the method according to the invention is designed to be computer-implemented, wherein the computer is formed by a computing unit and/or an additional computer.

In particular, a computer program on a data carrier can be used to carry out the method. In particular, at least one step, in particular a plurality of steps, in particular all steps, of the method is carried out here by means of an algorithm running on a computer.

Drawings

Further details and advantages of the invention are to be understood in the following description with reference to embodiments which are partially schematically illustrated in the drawings. Elements having the same function and mode of action are provided with the same reference numerals, respectively. The figures show:

fig. 1 shows a perspective view of a first embodiment of a traffic identification system according to the invention;

FIG. 2 shows a flow chart of one embodiment of a method according to the present invention;

fig. 3 shows a side view of a housing with a first and a second sensor strip;

FIG. 4a shows a first view of a motion process based on a plurality of detected motion states;

FIG. 4b shows a second view of a motion process based on a plurality of detected motion states;

fig. 5a shows a view of direction recognition;

FIG. 5b shows a view of turn recognition;

FIG. 6 illustrates a third view of a motion state based on a plurality of detections;

fig. 7 shows a fourth view of a state of motion based on a plurality of detections.

Detailed Description

Fig. 1 shows a view of a first embodiment of a traffic detection system 1 according to the invention with a scanner 53, two movable doors 52, a pass status display 58 and a head sensor 45 for detecting a detection area E45 above a housing 50 and a further housing 50'. The head sensor 45 is arranged in the armrest 55 arranged in the upper part of the housing 50 and its detection region E45 is detected here through a region 56 of the armrest 55 which is transparent to the head sensor 45. Arrow 450 here shows the detection direction of the head sensor 45 extending obliquely upward. The detection zone E45 is located above the housings 50, 50', has a height H and exceeds 1200mm from the bottom 70 of the passage zone and from the bottom edge 51 of the housing 50, respectively. The head sensor 45 is oriented here obliquely upwards. Whereby the movement occurring over at least the housing 50, 50' can be detected. The first sensor strip 10, the second sensor strip 20 and the third sensor strip 25 are arranged here on a housing 50' and are shown schematically.

With such a passage recognition system, a person can be reliably recognized in a simultaneously low embodiment of the housing 50, 50' and/or the passage recognition system 1.

Fig. 2 shows a flow chart of the method according to the invention with the aid of a traffic recognition system 1, which comprises: a head sensor 45 for detecting the detection area E45; a first sensor strip 10 with sensors S11 to S18 to detect a movement state 2 within the detection regions E1 to E8; a transmitter 31 for transmitting the motion state; a calculation unit 30 with a receiver 32 for receiving the movement state 2, an evaluation unit 34 for evaluating the movement state, a provision unit 36 for providing the movement state 2, a conversion unit 38 for converting the movement state 2 and a display 40 of the recognized movement process 4. The first sensor strip 10 extends along a vertical vector v, the vertical component of which is 100%. The first sensor slat 10 is divided into a slat head 11 with an upper four sensors S11-S14 and an exemplary slat body 12 with a lower four sensors S15-S18. The head sensor 45 is oriented obliquely upward.

Fig. 3 shows a side view of a further housing 50' of a traffic detection system having a first sensor panel 10 and a second sensor panel 20 arranged next to the first sensor panel 10 and parallel to the first sensor panel 10, the second sensor panel 20 having its sensors S21-S24 and a bottom edge 51. The bottom edge 51 is set up on the bottom 70 of the traffic zone. The first sensor strip 10 extends from the bottom edge 51 to a height h. The first sensor strip 10 extends at the same time from the bottom 70 of the passage area to a height h. Furthermore, a person and an upright guided luggage item are shown, which is moved in direction D. The number, length and mounting height of the sensors of the second sensor slat 20 correspond to the slat head 11 of the first sensor slat 10. The housing 50' has an overall height H. The second sensor strip 10 is used, for example, to detect the movement state 2 in addition, in order to be able to evaluate the direction of the detected movement sequence 4 by the computing unit 30. This is explained in detail with reference to fig. 4a and 4 b.

Fig. 4a shows a plurality of movement states 2 of a person passing through the traffic detection system 1 according to fig. 1 and 3. The black filled squares represent the sensors of the head sensor 45 and the first sensor strip 10 which, in this case, differs from fig. 3 by a total of 24 sensors, which are declared to be active. The squares without padding or grey padding represent the sensors of the second sensor strip 20 which are declared to be valid, with a total of four sensors. The empty space represents the sensor of the head sensor 45, the first sensor strip 10 and the second sensor strip 20 that is notified as invalid. Each column represents a detected motion state 2. The number of columns is derived from the time profile of the movement states 2 detected by the head sensor 45, the first sensor strip 10 and the second sensor strip 20, respectively, in chronological order from left to right. Each row is the detection of a respective one of the head sensor 45 and the sensor strip 10, 20 in a time profile from left to right. The uppermost row 90 shows the detection of the head sensor 45. The four rows 80 show the detected movement states 2 of the slat head 11 of the first sensor slat 10 and of the sensor of the second sensor slat 20, respectively. The lower 20 rows each show the detected movement state 2 of the sensors of the slat body 12 of the first sensor slat 10, wherein the slat body 12 has twenty sensors in contrast to fig. 3.

Line 90 shows that the head sensor 45 is informed as valid in a plurality of movement states 2 following one another. This causes the movement process 4 to be associated with a person.

Furthermore, in the movement state 110, all sensors of the slat body are notified as being active at least once, wherein in addition the uppermost sensor in 101 and the lowermost sensor in 102 are notified as being active. Furthermore, a positive difference between the movement states in the time profile during the movement sequence 4 is subsequently determined, i.e. the number of active sensors of the slat body 12 decreases, which is indicated by the arrow 111. For this purpose, a negative difference between the movement states is then determined, i.e. the effective sensor of the slat body 12 increases in the course of the movement 4 in the course of time, which is indicated by the arrow 112. Furthermore, the increase in the effective sensor of the slat body 12 has been determined temporally prior to the movement state 110. This is the other confirmed condition that the motion process 4 is associated with a person.

In the area 60, it is also shown when the division criterion according to the method according to the invention intervenes and thus delimits one movement sequence 4 from another movement sequence. In the region 60 the respective sensors of the slat head 11 and of the second sensor slat 20 and of the slat body 12 and of the sensor head 45 are notified as being inactive. This causes the intervention of the separation criterion and thus the movement process 4 is considered to be finished.

In contrast to fig. 4a, fig. 4b shows the movement of the vertically guided luggage compartment according to fig. 2 on the right. In this case, unlike fig. 4a, it is determined that no head sensor is declared active, and it is also determined that there is no difference in the number of sensors declared active in the slat body 12 between the states of motion within the course of motion in the time profile. Thus, the course of motion is not associated with a person, but, for example, with an object.

With the aid of the method according to the invention and the traffic detection system according to the invention, it is thus possible to reliably detect persons while at the same time achieving a low design of the traffic detection system 1.

Fig. 5a shows a time profile of the number of active sensors according to the four rows 80 of fig. 4 a. The change curve 100 corresponds to the slat head 11 of the first sensor slat 10 and the change curve 200 corresponds to the second sensor slat 20. In a first step, all four sensors of the second sensor slat 20 are firstly notified as being active and all four sensors of the slat head 11 are notified as being active after this in time. In a second step, firstly all sensors of the second sensor slat 20 become inactive and, after this in time, all sensors of the slat head 11 of the first sensor slat 10 become inactive. This results in the recognition of a direction D from right to left of the course of movement as shown in fig. 3.

In contrast to this, the turning of the course of movement is shown in fig. 5b, wherein, unlike what was described above in connection with fig. 5a, in a second step, first all sensors of the slat head 11 of the first sensor slat 10 and, after this in time, all sensors of the second sensor slat 20 are notified as being inactive. This results in the identification of a diversion of the movement sequence.

Fig. 6 shows a plurality of movement states 2 of a person and other persons following each other closely. The movement process 4 is essentially similar to that of fig. 4a in that the person performs. All of the slat bodies 12 of the head sensors 45, 110 notified as being active are notified as being active, a reduction in the number of active sensors of the slat body 12 according to arrow 111 and an increase in the number of active sensors of the slat body 12 according to arrow 112 cause the movement course 4 to be ascribed here. In the region 60, the respective sensors of the slat head 11 and of the second sensor slat 20 and of the slat body 12 are notified as being inactive. This causes the intervention of the separation criterion and thus the movement process 4 is considered to be ended, wherein at the same time the next movement process 4' starts. All of the notified active sensors of the slat bodies 12 of the head sensors 45, 120, the decrease of the number of active sensors of the slat body 12 according to arrow 121 and the increase of the number of active sensors of the slat body 12 according to arrow 122 likewise cause the movement process 4 to be ascribed here.

By means of the method according to the invention and the traffic detection system according to the invention, it is thus possible to reliably detect individuals while at the same time achieving a low design of the traffic detection system 1 and while the individuals follow each other closely.

Fig. 7 shows a plurality of movement states 2 of a person, which have a movement progression from right to left according to fig. 3, which is detected by the traffic detection system 1 according to fig. 1. The region 150 represents a motion state which is detected by means of the third sensor strip 25 alone, but which is nevertheless in the individual motion state 2'. In the movement state 2', the four lower sensors shown in the passage area 130 of the slat body 12 are notified as being active. At the same time, in discrete times of the movement state 2', two sensors shown in the passage area 151 are simultaneously notified as being active, one of which is located locally below the first sensor slat 10 and the second of which is located behind the first sensor slat 10 in the movement direction D. The direction of movement is identified here analogously to the illustration in fig. 5a, so that it can be inferred which of the sensors of the third sensor strip are behind the first sensor strip 10. The illustrated course of motion is thus associated with a human foot and thus a human.

By means of the method according to the invention and the traffic detection system according to the invention, it is thus possible to reliably detect individuals while at the same time achieving a low design of the traffic detection system 1 and while the individuals follow each other closely.

List of reference numerals:

direction of motion D

Height H

1 pass identification system

2 state of motion

4 course of movement

10 first sensor strip

11 slat head

12 slat body

20 second sensor strip

25 third sensor strip

30 computing unit

31 transmitter

32 receiver

34 evaluation unit

36 supply unit

38 switching unit

40 display

45 head sensor

50 casing

51 bottom edge

60 division standard

70 bottom of traffic zone

Number of effective sensors for 100 slat heads

110 person identification

Reduction of the number of 111 active sensors

112 increase in the number of active sensors

200 number of active sensors of second sensor strip

S11-S18 sensor of a first sensor strip

S21-S24 second sensor strip sensor

E1-E8, E45 detection region