Abstract
A passing recognition system for non-contact monitoring of a passing area includes at least one housing, a floor edge, in particular for installing on a floor of the passing area, and with a head sensor for detecting a detection area. Furthermore, the a method for non-contact monitoring as well as a computer-implemented method for performing the method includes related features.
Claims
1. A passing recognition system for non-contact monitoring of a passing area comprising: at least one housing, a floor edge, configured for installing on a floor of the passing area, and with a head sensor configured for detecting a detection area wherein the detection area of the head sensor is located above the housing.
2. The passing recognition system according to claim 1, wherein the detection area of the head sensor is detectable through an area of the housing, which is transparent for the head sensor.
3. The passing recognition system according to claim 1, wherein the passing recognition system includes a handrail, wherein the head sensor is disposed in the handrail and/or in that the transparent area is disposed in the handrail.
4. The passing recognition system according to claim 1, wherein the head sensor is able to generate a digital message or a serial message.
5. The passing recognition system according to claim 1, wherein the head sensor is formed as a reflexion sensor.
6. The passing recognition system according to claim 1, wherein a first sensor strip is disposed extending along a vertical vector and including several sensors, wherein, in an installation state, the first sensor strip extends at maximum up to a height of 1300 mm, starting at the floor edge of the passing recognition system.
7. The passing recognition system according to claim 6, wherein at least the first sensor strip includes a strip head comprising at least one upper sensors, and, below the strip head, a strip body comprising at least one sensor.
8. The passing recognition system according to claim 6, wherein the passing recognition system comprises a second sensor strip including at least one sensor, wherein the second sensor strip is disposed next to the first sensor strip, 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 formed shorter than the first sensor strip and/or the second sensor strip extends beyond the height of the strip head of the first sensor strip.
9. The passing recognition system according to claim 1, wherein extending underneath the first sensor strip along a horizontal vector, a third sensor strip is disposed with at least one sensor.
10. The passing recognition system according to claim 1, wherein the passing recognition system comprises at least one computing unit for processing at least one message of at least one sensor.
11. A method for non-contact monitoring of at least one sequence of motions having several states of motion by a passing recognition system comprising at least one housing, a floor edge, configured for installing on a floor of the passing area, and with a head sensor configured for detecting a detection area wherein the detection area of the head sensor is located above the housing, with a computing unit, wherein the head sensor detects at least one first state of motion above the housing and is transmitted to the computing unit.
12. The method according to claim 11, wherein the method comprises further includes the following steps: flagging as active the respective sensor, if said sensor detects something within the detection area thereof and flagging as passive the respective sensor, if said sensor detects nothing within the detection area thereof, detecting at least the first state of motion and at least one second state of motion with the messages of at least the head sensor, wherein the first state of motion and the second state of motion are detected at discrete points in time, which follow each other respectively indirectly or directly, transmitting the states of motion to the computing unit, and the computing unit recognizing at least one sequence of motions based on the transmitted states of motion.
13. The method according to claim 1, wherein the sequence of motions is associated to at least one individual and/or at least one object, wherein the sequence of motions is associated to at least one individual, if, within the sequence of motions, the head sensor is flagged as active at least once, in particular several times.
14. The method according to claim 1, wherein recognizing the sequence of motions comprises delimiting the sequence of motions from a further sequence of motions based on a separation criterion, wherein the separation criterion intervenes, if the head sensor is flagged as active at least in the first state of motion and is flagged as passive at least in a second state of motion.
15. A computer-implemented method according to claim 11, wherein the computing unit and/or an additional computer form/s the computer.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0080] Further details and advantages of the disclosure will be explained in the following based on exemplary embodiments partially diagrammatically shown in the Figures. The same reference numerals respectively identify elements having the same function and manner of operation. It shows:
[0081] FIG. 1 a perspective view of a first exemplary embodiment of an inventive passing recognition system;
[0082] FIG. 2 a flow diagram of an embodiment of an inventive method;
[0083] FIG. 3 a lateral view of a housing with the first as well as the second sensor strip;
[0084] FIG. 4a a first illustration of a sequence of motions based on a plurality of detected states of motion;
[0085] FIG. 4b a second illustration of a sequence of motions based on a plurality of detected states of motion;
[0086] FIG. 5a an illustration of a direction recognition;
[0087] FIG. 5b an illustration of a turn recognition;
[0088] FIG. 6 a third illustration based on a plurality of detected states of motion; and
[0089] FIG. 7 a fourth illustration of a sequence of motions based on a plurality of detected states of motion.
DETAILED DESCRIPTION OF THE DRAWINGS
[0090] FIG. 1 shows a view of a first embodiment of an inventive passing recognition system 1 with a scanner 53, two displaceable doors 52, a passing status display 58 and a head sensor 45 for detecting a detection area E45 above a housing 50 and a further housing 50′. In this case, the head sensor 45 is disposed in a handrail 55, which is disposed as an upper part of the housing 50, and thereby detects the detection area E45 thereof through an area of the handrail 55, which is transparent for the head sensor 45. In this case, the arrow 450 represents the detection direction of the head sensor 45 extending obliquely upwards. The detection area E45 is located above the housings 50, 50′ respectively with the height H and above 1200 mm starting at the floor 70 of the passing area and starting at a floor edge 51 of the housing 50. In this case, the head sensor 45 is oriented obliquely upwards. Hereby, motions are detectable, which occur above at least of the housings 50, 50′, In this case, a first sensor strip 10, a second sensor strip 20, and a third sensor strip 35 are disposed at the housing 50′ and diagrammatically illustrated.
[0091] Such a passing recognition system allows for reliably recognizing individuals with simultaneous low-level embodiment of the housings 50, 50′ and/or the passing recognition system 1.
[0092] FIG. 2 shows a flow diagram of an inventive method with a passing recognition system 1, comprising a head sensor 45 for detecting the detection area E45, the first sensor strip 10 with the sensors S11 to S18 for detecting states of motion 2 within a detection area E1 to E8, a transmitter 31 for transmitting the states of motion, a computing unit 30 with a receiver 32 for receiving the states of motion 2, with an evaluation unit 34 for evaluating the states of motion, with a supply unit 36 for supplying the states of motion 2, with a conversion unit 38 for converting the states of motion 2 and with a display 40 of a recognized sequence of motions 4. In this case, the first sensor strip 10 extends along the vertical vector v, wherein the vertical component thereof amounts to 100 percent. The first sensor strip 10 is divided into a strip head 11 with the upper four sensors S11 to S14 and an exemplary strip body 12 with the lower four sensors S15 to S18. In this case, the head sensor 45 is oriented obliquely upwards.
[0093] FIG. 3 shows a lateral view of the further housing 50′ of the passing recognition system with the first sensor strip 10 and, disposed parallel to the first sensor strip 10, the second sensor strip 20 with the sensors S21 to S24 thereof and with the floor edge 51. The floor edge 51 is set on the floor 70 of the passing area. The first sensor strip 10 extends up to a height h starting at the floor edge 51. Simultaneously, the first sensor strip 10 extends up to a height h starting at the floor 70 of the passing area. Furthermore are illustrated an individual and an upright guided bag moving in the direction D. The number of sensors, the length as well as 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. The second sensor strip 10 serves for an exemplary complementary detection of states of motion 2, in order to allow the computing unit 30 for evaluating the direction of the recognized sequences of motions 4. This is explained in more detail based on FIG. 4a and FIG. 4b.
[0094] FIG. 4a shows a plurality of states of motion 2 of an individual, who, according to FIGS. 1 and 3, passes the passing recognition system 1. The black filled squares symbolize sensors of the head sensor 45 and of the first sensor strip 10 flagged as active, herein, differing from FIG. 3, with altogether 24 sensors. The non-filled or grey filled squares symbolize sensors flagged as active of the second sensor strip 20 with altogether four sensors. The empty spots symbolize sensors flagged as passive of the head sensor 45, of the first sensor strip 10 and of the second sensor strip 20. Each column represents a detected state of motion 2. The plurality of columns results from the temporal progress of the detected states of motion 2, respectively detected by the head sensor 45, the first sensor strip 10 and the second sensor strip 20, chronologically from left to right. Each row represents the detection of the head sensor 45 and of respectively one sensor of the sensor strips 10, 20 over the time from left to right. The topmost row 90 shows the detection of the head sensor 45. The four rows 80 show respectively the detected states of motion 2 of the sensors of the strip head 11 of the first sensor strip 10 and of the second sensor strip 20. The lower 20 rows show respectively the detected states of motion 2 of the sensors of the strip body 12 of the first sensor strip 10, wherein, differing from FIG. 3, the strip body 12 includes twenty sensors.
[0095] Line 90 shows that the head sensor 45 is flagged as active in several consecutive states of motion 2. This results in associating the sequence of motions 4 to an individual.
[0096] Furthermore, in a state of motion 110, all sensors of the strip body are flagged as active at least once, wherein furthermore are flagged as active both the topmost sensor in 101 and the lowermost sensor in 102. Furthermore in the following, a positive difference is determined between the states of motion over the time within the sequence of motions 4, namely a decreasing number of active sensors of the strip body 12, which the arrow 111 indicates. Furthermore in the following, a negative difference is determined between the states of motion, namely an increasing number of active sensors of the strip body 12 over the time within the sequence of motions 4, which the arrow 112 indicates. Moreover, temporally prior to the state of motion 110, is determined already an increase in active sensors of the strip body 12. These are further confirmed conditions for associating the sequence of motions 4 to an individual.
[0097] Furthermore, is illustrated in an area 60, when a separation criterion according to the inventive method intervenes and thus delimits a sequence of motions 4 from a further sequence of motions. In the area 60 are flagged as passive both single sensors of the strip head 11 and of the second sensor strip 20 and also single sensors of the strip body 12 as well as also of the head sensor 45. This results in the separation criterion intervening, and therefore, the sequence of motions 4 is deemed as terminated.
[0098] Unlike FIG. 4a, FIG. 4b illustrates states of motion of an upright guided bag, according to FIG. 3, right side. Herein, differing from FIG. 4a, no active flagging of the head sensor and no differences in the number of sensors of the strip body 12 flagged as active between the states of motion are determined within the sequence of motions over the time. Therefore, this sequence of motions is not associated to an individual, but to an object, for example.
[0099] Thus, the inventive method and the inventive passing recognition system allow for reliably recognizing individuals with simultaneous low-level embodiment of the passing recognition system.
[0100] FIG. 5a illustrates the temporal progress of the number of active sensors of the four rows 80 according to FIG. 4a. The progress 100 corresponds to the strip head 11 of the first sensor strip 10 and the progress 200 corresponds to the second sensor strip 20. Initially in the first step, are flagged as active all four sensors of the second sensor strip 20, and temporally thereafter all four sensors of the strip head 11. Initially, in the second step are flagged as passive all sensors of the second sensor strip 20, and temporally thereafter all sensors of the strip head 11 of the first sensor strip 10. This results in recognizing the direction D of the sequence of motions as illustrated in FIG. 3 from right to left.
[0101] In contrast thereto, FIG. 5b illustrates a turn of the sequence of motions, wherein, unlike described previously with regard to FIG. 5a, in the second step initially are flagged as passive all sensors of the strip head 11 of the first sensor strip 10 and temporally thereafter all sensors of the second sensor strip 20. This results in recognizing a turn of the sequence of motions.
[0102] FIG. 6 shows a plurality of states of motion 2 of an individual and of a further individual following each other closely. Essentially, associating the sequence of motions 4 to an individual is realized analogously to FIG. 4a. The head sensor 45 flagged as active, all sensors of the strip body 12 in 110 flagged as active, the decreasing number of active sensors of the strip body 12 according to arrow 111, as well as the increasing number of active sensors of the strip body 12 according to arrow 112 result herein in associating the sequence of motions 4 to an individual. In the area 60, are flagged as passive both single sensors of the strip head 11 as well as of the second sensor strip 20 and also single sensors of the strip body 12. This results in the separation criterion intervening, and therefore, the sequence of motions 4 is deemed as terminated, wherein simultaneously the next sequence of motions 4′ starts. The head sensor 45 flagged as active, all sensors of the strip body 12 in 120 flagged as active, the decreasing number of active sensors of the strip body 12 according to arrow 121, as well as the increasing number of active sensors of the strip body 12 according to arrow 122 herein likewise result in associating the sequence of motions 4′ to an individual.
[0103] Thus, the inventive method and the inventive passing recognition system allow for reliably recognizing single individuals with simultaneous low-level embodiment of the passing recognition system 1 and for individuals following each other closely.
[0104] FIG. 7 shows a plurality of states of motion 2 of an individual with a sequence of motions from right to left according to FIG. 3, which the passing recognition system 1 according to FIG. 1 detects. In this case, the area 150 depicts a single state of motion, which the third sensor strip 25 detects, however, within the single state of motion 2′. In this state of motion 2′, are flagged as active the four lower sensors of the sensor strip 12, illustrated by area 130. Simultaneously, in the discrete point in time of the state of motion 2′, are flagged as active two sensors, illustrated by area 151, wherein the one sensor is located locally below the first sensor strip 10 and the second one behind the first sensor strip 10 in the direction of motion D. In this case, the direction of motion is recognized analogously to the explanation of FIG. 5, so that it can be deduced, which one of the sensors of the third sensor strip is located behind the first sensor strip 10. Thereby, the illustrated sequence of motions is associated to a foot of an individual and thus to an individual.
[0105] Thus, the inventive method and the inventive passing recognition system allow for reliably recognizing single individuals with simultaneous low-level embodiment of the passing recognition system 1 and for individuals following each other closely.
