JP5960864B1 - Processing time calculation apparatus and processing time calculation program - Google Patents

Abstract

An object of the present invention is to accurately calculate the processing time at an airport security checkpoint. A coefficient storage unit 11 is a storage device that stores a coefficient 34 for each feature 33. The procession specifying unit 13 specifies the people lined up at the security checkpoint. The feature specifying unit 14 specifies a feature for each person specified by the matrix specifying unit 13. For each person, the processing time calculation unit 15 multiplies the coefficient 34 stored by the coefficient storage unit 11 corresponding to the feature 33 specified by the feature specifying unit 14 by the reference time for processing at the security checkpoint, and Calculate the expected processing time. The processing time calculation unit 15 adds up the calculated expected processing times, and calculates the expected total processing time of all the people lined up at the security checkpoint. [Selection] Figure 2

Description

  The present invention relates to a technique for calculating a processing time at an airport security inspection station.

At the airport security checkpoint, a passport and boarding pass confirmation, X-ray baggage inspection, and metal detector inspection are performed.
Since it takes time to process at the security checkpoint, when many people come to the security checkpoint, there is a queue in front of the security checkpoint. If processing at the security checkpoint takes time and arrival at the boarding gate is just before the departure time, the aircraft will be delayed. Therefore, measures such as increasing the number of counters are taken depending on the degree of congestion at the security checkpoint.

  Patent Document 1 describes a technique for calculating the waiting time of a matrix at a security checkpoint. Patent Document 1 describes that the waiting time is calculated after specifying the number of people constituting the matrix from the image data.

JP 2007-317052 A

Processing time at the security checkpoint varies greatly depending on the person to be processed. Therefore, it doesn't mean that it takes a long time to simply have many people lined up. For example, even if there is a larger number of people waiting at the queue at the window A than at the queue at the window B, the window at the window A may be shorter.
For this reason, simply because many people are lining up, it is not possible to keep the processing time at the security checkpoint appropriate in response to increasing the number of windows.
An object of the present invention is to accurately calculate the processing time at a security inspection site.

The processing time calculation device according to the present invention is:
It is a processing time calculator that calculates the processing time at the airport security checkpoint.
A coefficient storage unit storing coefficients for each feature;
A procession identifying unit that identifies people lined up in the security checkpoint; and
A feature identifying unit that identifies a feature for each person identified by the matrix identifying unit;
For each person, the coefficient stored in the coefficient storage unit corresponding to the feature specified by the feature specifying unit is multiplied by the processing reference time in the security checkpoint to calculate the expected processing time of the person, And a processing time calculation unit that calculates the total expected processing time of people who are lined up at the security checkpoint by summing up the expected processing time.

  When the feature specifying unit specifies a plurality of features for one person, the processing time calculation unit uses the coefficient stored in the coefficient storage unit corresponding to each feature for processing at the security checkpoint. Multiply the reference time to calculate the person's expected processing time.

  The feature specifying unit specifies at least one of age, belongings, and actions as the feature.

  The feature specifying unit specifies a group to which the feature belongs as the feature.

The coefficient storage unit stores a coefficient for each feature and processing at the security checkpoint,
The processing time calculation unit, for each person, with each process at the security checkpoint as a target process, the feature specified by the feature specifying unit and the coefficient stored by the coefficient storage unit corresponding to the target process Is multiplied by the reference time of the target process to calculate the expected target process time for the target process of the person, and the expected target process time calculated for each process as the target process Calculate time.

The processing time calculation device further includes:
An image acquisition unit that acquires image data obtained by imaging the area in front of the security checkpoint,
The matrix identification unit identifies an operation of a person in the area in front of the security inspection area from a plurality of image data acquired by the image acquisition unit at different times, and from the identified operation, the person identifies the security It is determined whether or not they are lined up in the inspection area, and the persons lined up in the security inspection area are specified.

The processing time calculation device further includes:
For each feature, a processing time measuring unit that measures processing time at the security checkpoint for a person corresponding to the feature;
A coefficient determination unit that determines a coefficient for each feature from the processing time measured by the processing time measurement unit and stores the coefficient in the coefficient storage unit;

The processing time calculation program according to the present invention is:
A processing time calculation program that calculates a processing time at an airport security checkpoint using a coefficient storage unit that stores a coefficient for each feature.
A matrix identification process for identifying people lined up in the security checkpoint;
A feature specifying process for specifying a feature for each person specified in the matrix specifying process;
For each person, the coefficient stored in the coefficient storage unit corresponding to the feature specified in the feature specifying process is multiplied by the reference time of the process at the security checkpoint to calculate the expected processing time of the person, The estimated processing time is summed, and the computer is caused to execute a processing time calculation process for calculating an estimated total processing time of the people lining up in the security checkpoint.

  In the present invention, the processing time is calculated using the characteristics of each person lined up in the security inspection area. Thereby, the processing time in a security inspection place can be calculated accurately.

1 is a schematic explanatory diagram of a processing time calculation device 10 according to Embodiment 1. FIG. 1 is a configuration diagram of a processing time calculation apparatus 10 according to Embodiment 1. FIG. The figure which shows the information which the coefficient memory | storage part 11 which concerns on Embodiment 1 memorize | stores. 5 is a flowchart showing the operation of the processing time calculation apparatus 10 according to the first embodiment. The figure which shows the information which the coefficient memory | storage part 11 which concerns on Embodiment 2 memorize | stores. 9 is a flowchart showing the operation of the processing time calculation apparatus 10 according to the second embodiment. FIG. 4 is a schematic explanatory diagram of a processing time calculation apparatus 10 according to a third embodiment. FIG. 6 is a configuration diagram of a processing time calculation apparatus 10 according to a third embodiment. 10 is a flowchart showing the operation of the processing time calculation apparatus 10 according to the third embodiment. The figure which shows the hardware structural example of the processing time calculation apparatus 10 which concerns on Embodiment 1-3.

Embodiment 1 FIG.
*** Explanation of the outline ***
Based on FIG. 1, the outline of the processing time calculation apparatus 10 according to the first embodiment will be described.
The security checkpoint 21 at the airport has one or more windows 22. In FIG. 1, there are two windows 22.

  At the security checkpoint 21, first, (a) the passport and boarding pass are confirmed. Here, the reader 23 is caused to read the two-dimensional code of the boarding pass. Next, (b) the baggage is placed on the belt conveyor 24, (c) the baggage is inspected by the X-ray device 25, and is also inspected by the metal detector 26. (d) receive. When undergoing baggage inspection, there are cautions such as liquids and computers must be taken out of the bag, and a certain amount of liquids and blades cannot be brought in. In addition, when receiving an inspection by the metal detector 26, there is a caution that a belt, a clock, or the like that may react with the metal detector 26 needs to be removed.

  In the process (a), the person 20 with a large amount of luggage often takes time to prepare a passport and boarding pass. In addition, elderly people often take time to read a two-dimensional code. On the other hand, the person 20 who is used to processing at the security checkpoint 21 has prepared a passport and boarding pass in advance, and can often proceed smoothly.

  In the processes (b) to (d), the person 20 with a large amount of baggage takes longer than the person 20 with a small amount of baggage. Also, older people often take longer than young people. Moreover, the person 20 unfamiliar with the processing at the security inspection site 21 does not know the precautions that the liquid or the computer needs to be taken out of the bag, and is likely to take time. In particular, since the precautions differ between domestic and international flights, and also differ depending on the airport, the person 20 who is unfamiliar with the processing at the security checkpoint 21 may take much longer time than the person 20 who is used to it. is there. Further, even in the inspection by the metal detector 26, the person 20 who is unaccustomed to the processing at the security inspection site 21 does not grasp what he / she wears in the metal detector 26 and does the inspection. It may take a very long time as compared to the person 20 who has tried again and again and is used to it. In addition, the wheelchair person 20 cannot pass through the metal detector 26 except in the case of a special wheelchair and needs to perform a separate inspection, which takes a long time.

  In other words, the processing time at the security inspection site 21 varies greatly depending on the person 20. For this reason, it is difficult to accurately calculate the processing time required to process the lined people 20 from only the number of persons lined up in the security checkpoint 21.

  Therefore, the processing time calculation device 10 identifies the characteristics 33 of each person 20 lined up at each counter 22 of the security inspection site 21 and predicts the processing time of the person 20 based on the characteristics 33 of each person 20. And the processing time estimated about each person 20 is totaled, and the processing time about all the persons 20 currently located in each window 22 of the security inspection place 21 is calculated. As a result, it is possible to accurately calculate the processing time required to process the people 20 lined up at each counter 22.

*** Explanation of configuration ***
Based on FIG. 2, the structure of the processing time calculation apparatus 10 which concerns on Embodiment 1 is demonstrated.
The processing time calculation device 10 calculates the processing time at the airport security checkpoint 21. The processing time calculation device 10 includes a coefficient storage unit 11, an image acquisition unit 12, a matrix specification unit 13, a feature specification unit 14, and a processing time calculation unit 15.

The coefficient storage unit 11 is a storage device that stores a coefficient 34 for each feature 33.
As shown in FIG. 3, the coefficient storage unit 11 has a table for each type of feature 33. In FIG. 3, the coefficient storage unit 11 has four tables A to D. Each table stores a coefficient 34 for each feature 33 corresponding to the type. Here, a larger value is set as the coefficient 34 for the feature 33 that is expected to take longer to process.

  Table A is a table for attributes of person 20. The attributes of the person 20 are age, sex, and the like. For example, in the case of an elderly person, movement and operation are slow, new technology may be unfamiliar, and processing tends to take time. Moreover, the businessman may be used to the process at the security checkpoint 21 and tends to take less time for the process.

  Table B is a table for belongings. Here, clothes include clothes. For example, if you have a large baggage, there is a tendency that it takes time to raise and lower the baggage, and things that the owner does not assume, and there is a tendency that baggage inspection will be redone. In addition, when a coat or a hat is worn, it tends to take time because it is taken off before the inspection with the X-ray apparatus 25 and is worn after the inspection with the X-ray apparatus 25. Also, when a white cane is held, it tends to be time consuming because it is blind. Also, the person 20 in the wheelchair cannot pass through the gate of the metal detector 26 and tends to take time. On the other hand, when there is no luggage, it tends to take less time.

  The table C is a table regarding the behavior of the person 20. The action of the person 20 is the speed of operation. For example, a person 20 who operates slowly tends to take time for any processing. Moreover, it is expected that the person 20 who has been scrambled or who has taken in and out of the ticket many times is unfamiliar with the processing at the security checkpoint 21 or is approaching the departure time. A person 20 who is unfamiliar with processing at the security inspection site 21 or a person 20 who is impatient has a tendency to re-inspect the baggage and the inspection with the X-ray apparatus 25.

  Table D is a table for groups. A group is a group that works together. In the case of a group of travelers, there is room in time and processing may take time. In addition, as described above, elderly people tend to take longer to process, but in the case of a group consisting of elderly people and young people, the elderly people tend to process faster by receiving support from the young people. . Also, people 20 belonging to other groups tend to take a little longer than single people 20.

  The image acquisition unit 12 acquires image data 31 obtained by imaging the area 28 in front of the security inspection site 21 from the imaging device. The image acquisition unit 12 acquires a plurality of image data 31 captured at regular time intervals.

The matrix specifying unit 13 specifies the operation of the person 20 in the area 28 in front of the security checkpoint 21 from the plurality of image data 31 acquired by the image acquiring unit 12 at different times. The procession specifying unit 13 determines whether or not the person 20 is lined up in the security checkpoint 21 from the specified operation. And the procession | specification identification part 13 specifies the person 20 who lined up in each counter 22 of the security inspection place 21. FIG. The matrix specifying unit 13 outputs matrix information 32 indicating the specified person 20 to the feature specifying unit 14.
Here, the matrix specifying unit 13 determines whether or not the person 20 is lined up in the security checkpoint 21 according to the direction in which the person 20 moves or the direction in which the person 20 is facing. For example, when the person 20 is not moving in accordance with the movement of the queue or when the person 20 continues to face the back of the queue for a certain time or more, the queue specifying unit 13 determines that the people are not lined up in the security checkpoint 21. .
Thereby, the person 20 who passes through the area 28 in front of the security inspection place 21, the person 20 waiting in the area 28, and the like can be excluded from the people 20 lined up in the security inspection place 21.

  The feature specifying unit 14 specifies the feature 33 for each person 20 indicated by the matrix information 32 output by the matrix specifying unit 13 from the image data 31 acquired by the image acquiring unit 12. Here, the feature specifying unit 14 specifies whether each person 20 has each feature 33 stored in the coefficient storage unit 11.

The processing time calculation unit 15 calculates the expected total processing time, which is the processing time of all the people 20 lined up at the counter 22 for each counter 22 of the security inspection site 21.
First, the processing time calculation unit 15 uses the coefficient 34 stored in the coefficient storage unit 11 corresponding to the feature 33 specified by the feature specification unit 14 for each person 20 specified by the matrix specification unit 13 in the security checkpoint 21. The expected processing time of the person 20 is calculated by multiplying the processing reference time. Then, the processing time calculation unit 15 adds up the expected processing times calculated for each person 20 and calculates the expected total processing time of the people who are lined up at the window 22 of the security inspection site 21.

When the feature specifying unit 14 specifies a plurality of features 33 for one person, the processing time calculation unit 15 uses the coefficient 34 stored by the coefficient storage unit 11 corresponding to each feature 33 as the security checkpoint 21. The expected processing time of the person is calculated by multiplying the reference time of the processing at.
For example, an elderly person 20 who has a large luggage is multiplied by both the coefficient 34 “1.3” corresponding to the elderly and the coefficient 34 “1.3” corresponding to the large luggage with respect to the reference time. The expected processing time is 1.69 times the reference time.
Further, for example, a person 20 who is a businessman but is not accustomed to operating has both a coefficient 34 “0.8” corresponding to the businessman and a coefficient 34 “1.3” corresponding to the unfamiliarity with respect to the reference time. The estimated processing time is multiplied by 1.04 times the reference time.
Further, for example, a person 20 who belongs to a group including an elderly person but a young person has a coefficient 34 “1.3” corresponding to the elderly person and a coefficient 34 corresponding to the elderly person + youth group with respect to the reference time. “0.95” is multiplied, and the expected processing time is 1.235 times the reference time. For example, in the case of a group of 8 people, 2 elderly people and 6 young people, (1.3 × 2 + 1.0 × 6) × 0.95 = 8.6 × 0.95 = 8.17, 8 people The expected processing time for the entire group is 8.17 times the reference time.

*** Explanation of operation ***
The operation of the processing time calculation apparatus 10 according to the first embodiment will be described based on FIG.
The operation of the processing time calculation apparatus 10 according to the first embodiment corresponds to the processing time calculation method according to the first embodiment. The operation of the processing time calculation apparatus 10 according to the first embodiment corresponds to the processing of the processing time calculation program according to the first embodiment.
The process shown in FIG. 4 is periodically executed.

  In the image acquisition process of S11, the image acquisition unit 12 acquires unacquired image data 31.

  In the matrix specifying process of S12, the matrix specifying unit 13 specifies the people 20 lined up at each window 22 from the image data 31 acquired in S11. Here, when there is image data 31 acquired in the past, the matrix specifying unit 13 may specify the person 20 lined up at each window 22 using the image data 31 acquired in the past.

In the feature specifying process of S13, the feature specifying unit 14 specifies the feature 33 for each person 20 specified in S12 from the image data 31 acquired in S11. Here, when there is image data 31 acquired in the past, the feature specifying unit 14 may specify the feature 33 using the image data 31 acquired in the past.
In particular, since the feature 33 of the action of the person 20 shown in the table C of FIG. 3 cannot be specified without using a plurality of image data 31, a plurality of image data 31 including the image data 31 acquired in the past is stored. Will be used.

next. The processes from S14 to S15 are repeatedly executed with each window 22 as a target window. S14 and S15 are collectively referred to as a processing time calculation process.
In the human processing time calculation process of S14, the processing time calculation unit 15 uses the coefficient 34 stored in the coefficient storage unit 11 corresponding to the feature 33 specified in S13 as the reference time for each person 20 arranged in the target window. Multiply and calculate the expected processing time for the person 20.

  In the window processing time calculation processing of S15, the processing time calculation unit 15 calculates the estimated total processing time of the people lined up at the target window by adding up the estimated processing times for each person 20 calculated in S14.

*** Explanation of effects ***
As described above, the processing time calculation apparatus 10 according to the first embodiment calculates the processing time using the feature 33 of each person 20 arranged in the security checkpoint 21. Thereby, the processing time in the security inspection site 21 can be calculated with high accuracy.
As a result, it is possible to appropriately take measures such as increasing the number of windows 22 in the security inspection site 21, and to maintain the processing time of the security inspection site 21 appropriately.
As described above, the stagnation of processing at the security inspection site 21 leads to aircraft delay, which is a big problem for airlines. With the processing time calculation device 10 according to the first embodiment, the processing time of the security inspection site 21 can be kept appropriate, and as a result, the effect of eliminating the delay of the aircraft can be obtained.

  The calculated processing time of each window 22 may be displayed as a waiting time on a display device installed in the vicinity of the security inspection site 21. Thereby, the user can select and arrange the windows 22 having a short waiting time.

In the above description, the feature specifying unit 14 specifies the feature 33 of each person 20 from the image data 31. However, the feature specifying unit 14 may specify the feature 33 using other information.
For example, when the person 20 has made a procedure at the counter before heading to the security checkpoint 21, or when using a mileage card, the information of the person 20 can be acquired. In this case, when the person 20 is tracked on the basis of image data or the like and lined up in the security inspection area 21, the acquired information may be used to specify the feature 33 of the person 20. For this tracking, a person tracking technique using image data, which is an existing technique, is used.
By tracking the person 20, the feature 33 relating to the action of the person 20 can be specified. Further, in the matrix specifying process shown in step S <b> 12 of FIG. 4, when the person 20 cannot be specified by a single piece of image data 31, the person 20 may be specified by tracking using a plurality of pieces of image data 31. Similarly, even in the feature specifying process shown in step S13 of FIG. 4, when the feature of the person 20 cannot be specified by one piece of image data 31, the feature of the person 20 can be specified by tracking using a plurality of pieces of image data 31. Good.
Further, by tracking using a plurality of pieces of image data 31, for example, the person 20 who is proceeding at the counter and the person 20 who is in the security checkpoint 21 can be identified (identified as being the same person).
As described above, in the first embodiment, the processing time calculation process can be performed without specifying the individual of the person 20. Since the identification of the person 20 is unnecessary, the coefficient 34 varies depending on clothes, belongings, etc. even if the person 20 is the same. Further, since personal information of the person 20 is not used, management of personal information is unnecessary.

  In addition, the processing time calculation unit 15 may notify the staff of the security inspection site 21 when there is a person 20 having the feature 33 that makes the processing time particularly long. The staff of the security inspection site 21 that has received the notification can assist the processing at the security inspection site 21 smoothly.

Embodiment 2. FIG.
The second embodiment is different from the first embodiment in that a coefficient 34 is assigned for each process at the security inspection site 21. In the second embodiment, this different point will be described.

*** Explanation of the outline ***
Based on FIG. 1, an outline of a processing time calculation apparatus 10 according to the second embodiment will be described.
As described in the first embodiment, first, at the security checkpoint 21 at the airport, (a) the passport and boarding pass are confirmed. Next, (b) the baggage is placed on the belt conveyor 24, (c) the baggage is inspected by the X-ray device 25, and is also inspected by the metal detector 26. (d) receive.
In the second embodiment, a coefficient 34 is assigned for each process from (a) to (d). When calculating the expected processing time of a person 20, the processing time calculation device 10 sets each process as a target process, and multiplies the reference process time of the target process by a coefficient 34 assigned to the target process, thereby predicting the target process. Calculate the target processing time. Then, the processing time calculation device 10 calculates the expected processing time of the person 20 by summing up the expected processing times calculated for each processing as the target processing.

*** Explanation of configuration ***
The configuration of the processing time calculation apparatus 10 according to the second embodiment is the same as the configuration of the processing time calculation apparatus 10 according to the first embodiment shown in FIG.
However, the information stored in the coefficient storage unit 11 and the processing of the processing time calculation unit 15 are different.

  As shown in FIG. 5, the coefficient storage unit 11 stores a coefficient 34 for each feature 33 and each process in the security inspection site 21. FIG. 5 illustrates a part of the table B among the tables A to D illustrated in FIG.

The processing time calculation unit 15 uses, for each person 20, each process at the security inspection site 21 as a target process, the feature 33 specified by the feature specifying unit 14, and the coefficient stored by the coefficient storage unit 11 corresponding to the target process 34 is multiplied by the reference time of the target process to calculate the expected target processing time for the target process of the person 20. The processing time calculation unit 15 calculates the expected processing time of the person 20 by summing up the expected processing times calculated for each processing as the target processing.
Then, the processing time calculation unit 15 adds up the expected processing times calculated for each person 20 and calculates the expected total processing time of the people who are lined up at the window 22 of the security inspection site 21.

*** Explanation of operation ***
The operation of the processing time calculation apparatus 10 according to the second embodiment will be described based on FIG.
The operation of the processing time calculation apparatus 10 according to the second embodiment corresponds to the processing time calculation method according to the second embodiment. The operation of the processing time calculation apparatus 10 according to the second embodiment corresponds to the processing of the processing time calculation program according to the second embodiment.
The process shown in FIG. 6 is periodically executed.

  The processing from S21 to S23 is the same as the processing from S11 to S13 in FIG.

The processes from S24 to S26 are repeatedly executed with each window 22 as a target window. S24 to S26 are collectively referred to as a processing time calculation process.
In the target processing time calculation process of S24, the processing time calculation unit 15 uses the processes in the security checkpoint 21 as the target process for each person 20 lined up at the target window, and the feature 33 and the target process specified in S23. Correspondingly, the coefficient 34 stored in the coefficient storage unit 11 is multiplied by the reference time of the target process to calculate the expected target processing time for the target process of the person 20.

  In the human processing time calculation process of S25, the processing time calculation unit 15 adds up the predicted target processing time calculated for each process in S24 as the target process for each person 20 arranged in the target window. Calculate the expected processing time.

  The process of S26 is the same as the process of S15 of FIG.

*** Explanation of effects ***
As described above, the processing time calculation apparatus 10 according to the second embodiment is assigned the coefficient 34 for each process at the security inspection site 21. As a result, the processing time at the security inspection site 21 can be calculated more accurately than in the first embodiment.

Embodiment 3 FIG.
The third embodiment is different from the first embodiment in that the coefficient 34 is updated. In the third embodiment, this different point will be described.

*** Explanation of the outline ***
Based on FIG. 7, an outline of the processing time calculation apparatus 10 according to the third embodiment will be described.
A plurality of imaging devices 29 for imaging each process in the security inspection site 21 are installed in the security inspection site 21. Here, imaging devices 29a to 29d for imaging each processing of (a) to (d) are installed.
The processing time calculation device 10 acquires image data 36 captured by the imaging devices 29a to 29d. For each feature 33, the processing time calculation device 10 measures from the image data 36 the actual processing time of processing at the security checkpoint 21 of the person 20 having the feature 33. The processing time calculation device 10 calculates a coefficient from the measured processing time and stores it in the coefficient storage unit 11.

*** Explanation of configuration ***
Based on FIG. 8, the structure of the processing time calculation apparatus 10 which concerns on Embodiment 3 is demonstrated.
The processing time calculation device 10 according to the third embodiment includes a processing time measurement unit 16 and a coefficient determination unit 17 in addition to the processing time calculation device 10 according to the first embodiment shown in FIG.

  The image acquisition unit 12 acquires image data 36 obtained by capturing the inside of the security inspection site 21 at regular intervals.

Based on the image data 36 acquired by the image acquisition unit 12, the processing time measurement unit 16 measures the processing time at the security inspection site 21 for the person 20 corresponding to the feature 33 for each feature 33.
Here, the processing time measuring unit 16 measures the processing time from when the person 20 starts the process (a) of the security inspection site 21 until the process (d) is completed.

The coefficient determination unit 17 determines a coefficient 34 for each feature 33 from the processing time measured by the processing time measurement unit 16 and stores the coefficient 34 in the coefficient storage unit 11.
Here, the coefficient determination part 17 determines the average time of the processing time of all the people 20 as reference time. Then, the coefficient determination unit 17 calculates the coefficient 34 by dividing the average processing time of the person 20 having each feature 33 by the reference time.
In addition to the average time, the coefficient 34 may be calculated by statistical processing or learning using a large number of data.

*** Explanation of operation ***
Based on FIG. 9, the operation of the processing time calculation apparatus 10 according to the third embodiment will be described.
The operation of the processing time calculation apparatus 10 according to the third embodiment corresponds to the processing time calculation method according to the third embodiment. Further, the operation of the processing time calculation apparatus 10 according to the third embodiment corresponds to the processing of the processing time calculation program according to the third embodiment.
The process shown in FIG. 9 is periodically executed in parallel with the process shown in FIG.

  In the image acquisition process of S31, the image acquisition unit 12 acquires unacquired image data 36.

  In the processing time measurement process of S32, the processing time measurement unit 16 measures the processing time in the security checkpoint 21 of each person 20 based on the image data 36 acquired in S31.

  In the coefficient determination process of S33, the coefficient determination unit 17 determines the coefficient 34 for each feature 33 from the processing time measured in S32. Then, the coefficient determination unit 17 stores the determined coefficient 34 in the coefficient storage unit 11.

*** Explanation of effects ***
As described above, the processing time calculation apparatus 10 according to the third embodiment measures the processing time at the security inspection site 21 and updates the coefficient 34. As a result, the processing time at the security inspection site 21 can be calculated more accurately than in the first embodiment.

  In the above description, a configuration for updating the coefficient 34 is added to the first embodiment. However, it is possible to add a configuration for updating the coefficient 34 to the second embodiment. In this case, the processing time measurement unit 16 may measure the actual processing time for each process, and the coefficient determination unit 17 may determine a coefficient for each process for each feature.

Moreover, Embodiment 1-3 demonstrated calculating the processing time in the security inspection place 21 in an airport. However, the processing time calculation device 10 can calculate the processing time with high accuracy even if it is a place other than the security inspection place 21 at the airport, as long as the processing time is different for each person 20. .
For example, it is possible to calculate the processing time at a self-service gas station. Even in a self-service gas station, processing time differs between those who are used to refueling and those who are not used to refueling. In addition, a large car has a larger gasoline tank than a small car, and refueling takes time. Therefore, by determining the coefficient 34 for each of the feature 33 of the person 20 and the feature 33 of the car, the processing time can be calculated with high accuracy.
Furthermore, it is possible to calculate the processing time at the airport boarding gate. If the processing time is the boarding time (from the boarding gate through the boarding bridge until the passenger walks in the cabin and sits down), it is possible to predict how many minutes the aircraft can take off after boarding. it can. Also, if the processing time is the time of dismounting (until the person 20 stands up from the seat, takes the baggage and goes to the terminal through the bridge), after the arrival at the arrival place, the in-flight cleaning after the disembarkation can be started. Or whether there is room for the next takeoff time.

FIG. 10 is a diagram illustrating a hardware configuration example of the processing time calculation apparatus 10 according to the first to third embodiments.
The processing time calculation device 10 is a computer.
The processing time calculation device 10 includes hardware such as a processor 901, an auxiliary storage device 902, a memory 903, a communication device 904, an input interface 905, and a display interface 906.
The processor 901 is connected to other hardware via the signal line 910, and controls these other hardware.
The input interface 905 is connected to the input device 907 by a cable 911.
The display interface 906 is connected to the display 908 by a cable 912.

The processor 901 is an IC (Integrated Circuit) that performs processing. The processor 901 is, for example, a CPU (Central Processing Unit), a DSP (Digital Signal Processor), or a GPU (Graphics Processing Unit).
The auxiliary storage device 902 is, for example, a ROM (Read Only Memory), a flash memory, or an HDD (Hard Disk Drive).
The memory 903 is, for example, a RAM (Random Access Memory).
The communication device 904 includes a receiver 9041 that receives data and a transmitter 9042 that transmits data. The communication device 904 is, for example, a communication chip or a NIC (Network Interface Card).
The input interface 905 is a port to which the cable 911 of the input device 907 is connected. The input interface 905 is, for example, a USB (Universal Serial Bus) terminal.
The display interface 906 is a port to which the cable 912 of the display 908 is connected. The display interface 906 is, for example, a USB terminal or an HDMI (registered trademark) (High Definition Multimedia Interface) terminal.
The input device 907 is, for example, a mouse, a keyboard, or a touch panel.
The display 908 is, for example, an LCD (Liquid Crystal Display).

The auxiliary storage device 902 includes the above-described image acquisition unit 12, matrix specification unit 13, feature specification unit 14, processing time calculation unit 15, processing time measurement unit 16, and coefficient determination unit 17 (hereinafter, image acquisition unit 12, matrix specification). The program for realizing the function of the unit 13, the feature specifying unit 14, the processing time calculation unit 15, the processing time measurement unit 16, and the coefficient determination unit 17 is collectively stored.
This program is loaded into the memory 903, read into the processor 901, and executed by the processor 901.
Further, the auxiliary storage device 902 also stores an OS (Operating System).
Then, at least a part of the OS is loaded into the memory 903, and the processor 901 executes a program that realizes the function of “unit” while executing the OS.
In FIG. 10, one processor 901 is illustrated, but the processing time calculation apparatus 10 may include a plurality of processors 901. A plurality of processors 901 may execute a program for realizing the function of “unit” in cooperation with each other.
Further, information, data, signal values, variable values indicating the result of the processing of “part”, and the coefficient 34 stored in the coefficient storage unit 11 are stored in the memory 903, the auxiliary storage device 902, or a register or Stored as a file in the cache memory.

  The “part” may be provided as “circuitry”. Further, “part” may be read as “circuit”, “process”, “procedure”, or “processing”. “Circuit” and “Circuitry” include not only the processor 901 but also other types of processing circuits such as a logic IC or GA (Gate Array) or ASIC (Application Specific Integrated Circuit) or FPGA (Field-Programmable Gate Array). It is a concept to include.

  DESCRIPTION OF SYMBOLS 10 Processing time calculation apparatus, 11 Coefficient memory | storage part, 12 Image acquisition part, 13 Matrix specification part, 14 Feature specification part, 15 Processing time calculation part, 16 Processing time measurement part, 17 Coefficient determination part, 20 persons, 21 Security inspection field , 22 Window, 23 Reading device, 24 Belt conveyor, 25 X-ray device, 26 Metal detector, 27 Work table, 28 area, 29 Imaging device, 31, 36 Image data, 32 Matrix information, 33 Features, 34 Coefficients.

Claims (8)

It is a processing time calculator that calculates the processing time at the airport security checkpoint.
A coefficient storage unit storing coefficients for each feature;
A procession identifying unit that identifies people lined up in the security checkpoint; and
A feature identifying unit that identifies a feature for each person identified by the matrix identifying unit;
For each person, the coefficient stored in the coefficient storage unit corresponding to the feature specified by the feature specifying unit is multiplied by the processing reference time in the security checkpoint to calculate the expected processing time of the person, A processing time calculation device comprising: a processing time calculation unit that calculates the total expected processing time of people who are lined up at the security checkpoint by summing the expected processing time. When the feature specifying unit specifies a plurality of features for one person, the processing time calculation unit uses the coefficient stored in the coefficient storage unit corresponding to each feature for processing at the security checkpoint. The processing time calculation device according to claim 1, wherein the expected processing time of the person is calculated by multiplying the reference time. The processing time calculation apparatus according to claim 1, wherein the feature specifying unit specifies at least one of age, belongings, and actions as the feature. The processing time calculation apparatus according to any one of claims 1 to 3, wherein the feature specifying unit specifies a group to which the feature belongs as the feature. The coefficient storage unit stores a coefficient for each feature and processing at the security checkpoint,
The processing time calculation unit, for each person, with each process at the security checkpoint as a target process, the feature specified by the feature specifying unit and the coefficient stored by the coefficient storage unit corresponding to the target process Is multiplied by the reference time of the target process to calculate the expected target process time for the target process of the person, and the expected target process time calculated for each process as the target process The processing time calculation apparatus according to any one of claims 1 to 4, which calculates time. The processing time calculation device further includes:
An image acquisition unit that acquires image data obtained by imaging the area in front of the security checkpoint,
The matrix identification unit identifies an operation of a person in the area in front of the security inspection area from a plurality of image data acquired by the image acquisition unit at different times, and from the identified operation, the person identifies the security The processing time calculation device according to any one of claims 1 to 5, wherein it is determined whether or not they are lined up at an inspection place, and a person lined up at the security inspection place is specified. The processing time calculation device further includes:
For each feature, a processing time measuring unit that measures processing time at the security checkpoint for a person corresponding to the feature;
The coefficient determination part which determines the coefficient about each said characteristic from the processing time which the said processing time measurement part measured, and stores in the said coefficient memory | storage part is provided. Processing time calculation device. A processing time calculation program that calculates a processing time at an airport security checkpoint using a coefficient storage unit that stores a coefficient for each feature.
A matrix identification process for identifying people lined up in the security checkpoint;
A feature specifying process for specifying a feature for each person specified in the matrix specifying process;
For each person, the coefficient stored in the coefficient storage unit corresponding to the feature specified in the feature specifying process is multiplied by the reference time of the process at the security checkpoint to calculate the expected processing time of the person, A processing time calculation program for causing a computer to execute a processing time calculation process for calculating the expected total processing time of persons lining up in the security checkpoint by summing up the predicted processing times.

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