WO2022201517A1 - 乗客情報収集システム、乗客情報収集方法及びプログラム記録媒体 - Google Patents
乗客情報収集システム、乗客情報収集方法及びプログラム記録媒体 Download PDFInfo
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- WO2022201517A1 WO2022201517A1 PCT/JP2021/012948 JP2021012948W WO2022201517A1 WO 2022201517 A1 WO2022201517 A1 WO 2022201517A1 JP 2021012948 W JP2021012948 W JP 2021012948W WO 2022201517 A1 WO2022201517 A1 WO 2022201517A1
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- 238000000034 method Methods 0.000 title claims description 15
- 230000005540 biological transmission Effects 0.000 claims abstract description 15
- 238000012790 confirmation Methods 0.000 claims abstract description 9
- 238000004891 communication Methods 0.000 claims description 20
- 238000001514 detection method Methods 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 6
- 230000006870 function Effects 0.000 description 9
- 238000004590 computer program Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000029305 taxis Effects 0.000 description 4
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000033001 locomotion Effects 0.000 description 2
- 208000035473 Communicable disease Diseases 0.000 description 1
- 230000002457 bidirectional effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000005021 gait Effects 0.000 description 1
- 238000011534 incubation Methods 0.000 description 1
- 208000015181 infectious disease Diseases 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
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- 238000012544 monitoring process Methods 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
- G08G1/202—Dispatching vehicles on the basis of a location, e.g. taxi dispatching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/02—Reservations, e.g. for tickets, services or events
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
- G06Q50/43—Business processes related to the sharing of vehicles, e.g. car sharing
- G06Q50/47—Passenger ride requests, e.g. ride-hailing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
Definitions
- the present invention relates to a passenger information collection system, a passenger information collection method, and a program recording medium.
- Patent document 1 discloses a system for managing the allocation of vehicles such as taxis, which improves user convenience when requesting a vehicle allocation by selecting a vehicle to be allocated to the user based on the user's attribute information. An invention is disclosed that it is possible (see claim 7, etc.). The attribute information in this document is managed in a user information table of the dispatch management server.
- Patent Document 2 discloses a bus stop that can detect the number of users and the need for assistance at the bus stop by recognizing images captured by a camera. Then, the control device of the bus stop described in the document notifies the bus 40 approaching the bus stop of the number of users and the necessity of assistance in advance (see paragraph 0027).
- Patent document 3 describes a vehicle allocation system that enables a vehicle that can be driven unmanned to be dispatched to a designated vehicle allocation location in a timely manner.
- An arrangement is disclosed with a camera management system capable of
- the present invention provides a passenger information collection system, a passenger information collection method, and a program recording medium capable of providing information as to whether or not the person who made the dispatch request is wearing a mask before dispatching the vehicle. With the goal.
- an image can be acquired from a camera installed around a road, and a receiving means for receiving information of a user who has made a reservation from a vehicle allocation system for allocating passenger vehicles;
- An image acquiring means for acquiring an image of a person who has made a taxi dispatch request from a camera, based on user information, and whether or not the person is wearing a mask, based on the image of the person in the image.
- transmission means for transmitting information on whether or not the person who made the taxi dispatch request is wearing a mask to the terminal of the company to which the taxi dispatch request is made.
- a passenger information collection system is provided.
- a passenger information collection system capable of acquiring images from cameras installed around roads receives information on users who have made reservations from a vehicle dispatch system that dispatches passenger vehicles, Based on the information of the user, an image of the person who made the taxi dispatch request is acquired from the camera, and whether or not the person is wearing a mask is determined based on the image of the person in the image.
- a passenger information collection method for confirming and transmitting information on whether or not the person who made the taxi dispatch request is wearing a mask to the terminal of the company to which the taxi dispatch request is made. The method is tied to a specific machine, the Passenger Information Collection System, which can acquire images from cameras installed around the road.
- a computer program (hereinafter referred to as program) is provided for realizing the functions of the passenger information collection system described above.
- the computer program is input to the computer device from an input device or an external communication interface, is stored in the storage device, and drives the processor according to predetermined steps or processes.
- this program can display the results of processing, including intermediate states, at each stage via a display device as required, or can communicate with the outside via a communication interface.
- a computer device for this purpose typically includes, as an example, a processor, a storage device, an input device, a communication interface, and optionally a display device, all of which are connectable to each other via a bus.
- the program can also be recorded on a computer-readable (non-transitory) storage medium. That is, the present invention can also be embodied as a computer program product.
- the present invention it is possible to provide information in advance as to whether or not the person who made the dispatch request is wearing a mask.
- connection lines between blocks in drawings and the like referred to in the following description include both bidirectional and unidirectional connections.
- the unidirectional arrows schematically show the flow of main signals (data) and do not exclude bidirectionality.
- ports or interfaces at input/output connection points of each block in the figure they are omitted from the drawing.
- a program is executed via a computer device, and the computer device includes, for example, a processor, a storage device, an input device, a communication interface, and, if necessary, a display device.
- this computer device is configured to be able to communicate with internal or external devices (including computers) via a communication interface, whether wired or wireless.
- the present invention can be realized by a passenger information collection system 10 connected to cameras 30 installed around the road, as shown in FIG. More specifically, this passenger information collection system 10 includes receiving means 11 , image acquisition means 12 , confirmation means 13 and transmission means 14 .
- the receiving means 11 receives the information of the user who made the reservation from the dispatch system 40 that dispatches passenger vehicles.
- the image acquisition means 12 acquires an image of the person who made the taxi dispatch request from the camera 30 based on the user information.
- the following method is conceivable as a mechanism for the image acquiring means 12 to acquire the image of the corresponding user from the camera 30 based on the information of the user of the passenger vehicle.
- the user's face, gait, etc. registered in advance are compared with the person's image captured by the camera 30 .
- position information for example, position information obtained by GPS (Global Positioning System), serving cell information obtained from a base station of a wireless communication network, or the like can be used.
- the confirmation means 13 confirms whether the person is wearing a mask based on the image of the person in the image.
- the terminal 20 may be a terminal included in the dispatch system 40 .
- the company to which the taxi dispatch request is made can take the following measures. ⁇ If it turns out that the person who made the dispatch request is not wearing a mask, the person in charge will contact the person who made the dispatch request and ask them to wear a mask before boarding. ⁇ Allocate taxis equipped with masks to be lent to passengers as taxis to be dispatched. ⁇ Allocate a driver who can respond appropriately based on the transport agreement as a taxi driver to be dispatched.
- FIG. 2 is a block diagram showing the configuration of the passenger information collection system 100 according to the first embodiment of the invention. Referring to FIG. 2, the configuration of passenger information collection system 100 connected to terminal 200, camera 300 and dispatch system 400 is shown.
- the dispatch system 400 is a system that accepts a reservation for a passenger vehicle specifying the date, time, pick-up point, etc. from the user of the passenger vehicle, and instructs the in-vehicle terminal of the passenger vehicle to allocate the vehicle. Further, the dispatch system 400 of this embodiment has a function of transmitting the information of the user who made the reservation to the passenger information collection system 100 .
- the terminal 200 is a terminal that serves as an output destination of the results collected and determined by the passenger information collection system 100 .
- the terminal 200 may be a terminal that instructs a passenger vehicle of the vehicle allocation system 400 to dispatch a vehicle.
- the camera 300 is installed on the roadside, etc., and is capable of photographing a user who has made a reservation for a passenger vehicle.
- the installation position of the camera 300 may be a major facility, an intersection, or the like, which is often designated as a pick-up position, but is not particularly limited.
- the camera 300 may be a monitoring or security camera installed on a sidewalk, in a store, or the like.
- the passenger information collection system 100 includes a reception section 101, an image acquisition section 102, a confirmation section 103, a transmission section 104, and a classifier 105.
- a passenger information collection system 100 can be realized by a server arranged on a cloud platform or an MEC (Multi-access Edge Computing) server installed near the service provision area.
- MEC Multi-access Edge Computing
- the receiving unit 101 receives information about the user who made the reservation from the vehicle dispatch system 400 .
- "User information” is information that can identify the user in the image captured by the camera 300, and for example, the user's ID, face image information, or the like can be used.
- the image acquisition unit 102 acquires an image of the user from the camera 300 based on the user information. For example, when face image information is used as "user information", the image acquisition unit 102 cuts out the face region of a person in the image captured by the camera 300, and extracts the corresponding user's face image registered in advance. Face authentication is performed by matching with When the person is detected by the face authentication, the image acquisition unit 102 acquires the image as an image of the user. It is also assumed that the camera 300 has a function of extracting a face region of a person in an image, performing face authentication, and tagging the image. In this case, the image acquisition unit 102 can also identify the user of the passenger vehicle by matching these tags with the ID of the user.
- the confirmation unit 103 uses the classifier 105 to confirm whether or not the person appearing in the image of the user is wearing a mask, and outputs the result to the transmission unit 104 .
- the classifier 105 can be configured by, for example, a classification function that, when an image is input, outputs a value indicating whether or not the mask is worn. Also, such a classifier 105 can be created by machine learning using teacher data prepared in advance.
- the transmission unit 104 transmits to the terminal 200 whether or not the person appearing in the image of the user confirmed by the confirmation unit 103 is wearing a mask.
- FIG. 3 is a flow chart showing the operation of the passenger information collection system 100 of the first embodiment of the invention.
- the passenger information collection system 100 first detects the person who made the reservation for the dispatch from the image obtained by the camera 300 (step S001).
- the passenger information collection system 100 acquires an image showing the detected person (step S002).
- the passenger information collection system 100 confirms whether or not the person in the image in which the person is shown is wearing a mask (step S003).
- the passenger information collection system 100 transmits to the terminal 200 information about the user and information indicating whether or not the person is wearing a mask (mask wearing/non-wearing information) (step S004).
- FIG. 4 is a block diagram showing the configuration of the passenger information collection system according to the second embodiment of the present invention.
- the difference from the first embodiment shown in FIG. 2 is that the confirmation unit 103 is replaced with an attribute detection unit 106, and the classifier 105 is replaced with two multiclass classifiers 105a and 105b. This is the point. Since other configurations and operations are substantially the same as those of the first embodiment, the differences will be mainly described below.
- the attribute detection unit 106 uses the classifiers 105a and 105b to detect the first attribute and second attribute of the person appearing in the image of the user. Therefore, the attribute detection unit 106 functions as first and second attribute detection means.
- a first attribute is an attribute for assigning a driver suitable for the user.
- the first attribute includes the type of communication language (Japanese, English, Chinese, etc.) that can be estimated from the person's appearance, the purpose of travel (business, sightseeing, etc.), and the like.
- appropriate teacher data can be prepared in advance and the multi-class classifier 105a capable of detecting (classifying) the first attributes can be prepared.
- the second attribute is an attribute for allocating vehicles suitable for users.
- the second attribute includes presence or absence of a handicap that can be estimated from the appearance of the person.
- suitable teacher data can be prepared in advance and the multi-class classifier 105b capable of detecting (classifying) the second attributes can be prepared.
- the contents of the first attribute and the second attribute may partially overlap.
- the type of communication language Japanese, English, Chinese, etc.
- travel purpose business, sightseeing, etc.
- the transmission unit 104a of this embodiment transmits the first attribute and the second attribute detected by the attribute detection unit 106 to the terminal 200.
- FIG. 5 is a flow chart showing the operation of the passenger information collection system 100a of the second embodiment of the invention. Since the operations of steps S001 and S002 in FIG. 5 are the same as those in the first embodiment, the description thereof is omitted.
- the passenger information collection system 100a that has acquired the image showing the detected person detects the first attribute of the person in the image showing the person (step S103).
- step S104 the passenger information collection system 100a detects the second attribute of the person in the image showing the person. Note that steps S103 and S104 may be executed in parallel, or may be executed in a different order.
- the passenger information collection system 100a transmits the first and second attribute information together with the user's information to the terminal 200 (step S105).
- this embodiment which operates as described above, it is possible to provide information for selecting a vehicle to be allocated and a driver to a company that dispatches passenger vehicles.
- a taxi company or the like can use the notified first attribute to select a driver suitable for the user.
- the type of communication language estimated from the user's appearance is English or Chinese, it is possible to increase the user's satisfaction by selecting a driver who has these conversational skills.
- the purpose of travel (business, sightseeing, etc.) estimated from the user's appearance we assign a driver who is familiar with nearby shared offices and workplaces, or a driver who is qualified as a tour guide. be able to.
- the second attribute for example, by selecting an appropriate vehicle according to the handicap estimated from the user's appearance, it is possible to increase the user's satisfaction. For example, a wheelchair user can be assigned a vehicle with a lift.
- the second attribute when the communication language and travel purpose are detected, it becomes possible to assign a vehicle equipped with an interpreter terminal and a foreign language voice guidance function.
- a confirmation unit 103 for confirming whether or not the user is wearing a mask may be provided.
- a confirmation unit 103 for confirming whether or not the user is wearing a mask may be provided.
- the first attribute and the second attribute are detected, but it is also possible to change the configuration so that only one of the first attribute and the second attribute is detected. is.
- a program that causes a computer (9000 in FIG. 6) functioning as the passenger information collecting system 100, 100a to realize the function as the passenger information collecting system 100, 100a.
- a computer is exemplified in a configuration including a CPU (Central Processing Unit) 9010, a communication interface 9020, a memory 9030, and an auxiliary storage device 9040 in FIG. That is, the CPU 9010 in FIG. 6 may execute the image acquisition program and the class classification program.
- a CPU Central Processing Unit
- each part (processing means, function) of the passenger information collection system 100, 100a described above is realized by a computer program that causes the processor mounted in these devices to execute each process described above using the hardware. be able to.
- the passenger information collection system described above further includes: A first attribute detection means for detecting a first attribute for assigning a driver suitable for the person based on the image of the person in the image, The transmitting means may be configured to transmit the information on the first attribute to the terminal of the company to whom the taxi dispatch request is made.
- the first attribute described above is a communication language estimated from the appearance of the person, The transmitting means may transmit information related to the communication language estimated as the first attribute to the terminal of the company to whom the taxi dispatch request is made.
- the first attribute described above is the travel purpose estimated from the person's clothes or belongings
- the transmitting means may transmit the information related to the travel purpose estimated as the first attribute to the terminal of the company to whom the taxi dispatch request is made.
- the passenger information collection system described above further includes: a second attribute detection means for detecting a second attribute for assigning a vehicle suitable for the person based on the image of the person in the image;
- the transmitting means may be configured to transmit the information on the second attribute to the terminal of the company to which the taxi dispatch request is made.
- the second attribute described above is the contents of the handicap estimated from the appearance of the person, The transmitting means may transmit information on the handicap estimated as the second attribute to the terminal of the company to which the taxi dispatch request is made.
- the second attribute mentioned above is the communication language or travel purpose inferred from the person's clothing or belongings, The transmitting means may transmit the information on the communication language estimated as the second attribute or the information on the purpose of travel to the terminal of the company to whom the taxi dispatch request is made.
- Reference Signs List 10 100, 100a passenger information collection system 11 receiving means 12 image acquiring means 13 confirming means 14 transmitting means 20, 200 terminal 30, 300 camera 40, 400 vehicle allocation system 101 receiving unit 102 image acquiring unit 103 confirming unit 104, 104a transmitting unit 105 classifier 105a, 105b multi-class classifier 106 attribute detector 9000 computer 9010 CPU 9020 Communication interface 9030 Memory 9040 Auxiliary storage device
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Abstract
Description
(1)事前に登録した利用者の顔や歩様等と、カメラ30で撮影された人物画像と照合する。
(2)利用者の情報として、位置情報を含んだ情報を受け取り、その位置情報に基づいて、カメラ30をパン・チルト・ズームさせ、又は、複数のカメラ30から任意のカメラを選択する。この位置情報には、例えば、GPS(Global Positioning System)で得られた位置情報や、無線通信ネットワークの基地局から得られる在圏セル情報等を用いることができる。
(3)乗用旅客車両の利用者から、その携帯する端末等を用いて、明示的な撮影要求を受け取り、当該利用者を撮影可能なカメラ30で撮影する。
・配車要求を行った人物がマスクを装着していないことが判明した場合、担当者が、配車要求を行った人物に連絡を取り、乗車前にマスクの装着を依頼する。
・配車対象のタクシーとして、乗客へ貸与するマスクの備え付けのあるタクシーを割り当てる。
・配車対象のタクシーの運転手として、運送約款に基づき適切に対応できる運転者を割り当てる。
続いて、本発明の第1の実施形態について図面を参照して詳細に説明する。図2は、本発明の第1の実施形態の乗客情報収集システム100の構成を示すブロック図である。図2を参照すると、端末200、カメラ300及び配車システム400と接続された乗客情報収集システム100の構成が示されている。
上記した第1の実施形態では、配車を予約した人物の画像から当該人物がマスクを装着しているか否かを判定し、業者側に提供するものとして説明したが、乗客情報収集システム100が提供可能な情報はこれに限られない。続いて、乗客情報収集システム100aが多クラスの分類器を用いて、利用者に適した運転者を選択するための情報(第1属性)と、利用者に適した車両を選択するための情報(第2属性)と、を収集する第2の実施形態について説明する。
[第1の形態]
(上記第1の視点による乗客情報収集システム参照)
[第2の形態]
上記した乗客情報収集システムは、さらに、
前記画像中の人物の像に基づいて、前記人物に適した運転手を割り当てるための第1の属性を検出する第1の属性検出手段を備え、
前記送信手段は、前記タクシーの配車要求先の業者の端末に対して、前記第1の属性に関する情報を送信する構成を採ることができる。
[第3の形態]
上記した第1の属性は、前記人物の容貌から推定したコミュニケーション言語であり、
前記送信手段は、前記タクシーの配車要求先の業者の端末に対して、前記第1の属性として推定した前記コミュニケーション言語に関する情報を送信する構成を採ることができる。
[第4の形態]
上記した第1の属性は、前記人物の服装又は携行物から推定した旅行目的であり、
前記送信手段は、前記タクシーの配車要求先の業者の端末に対して、前記第1の属性として推定した前記旅行目的に関する情報を送信する構成を採ることができる。
[第5の形態]
上記した乗客情報収集システムは、さらに、
前記画像中の人物の像に基づいて、前記人物に適した車両を割り当てるための第2の属性を検出する第2の属性検出手段を備え、
前記送信手段は、前記タクシーの配車要求先の業者の端末に対して、前記第2の属性に関する情報を送信する構成を採ることができる。
[第6の形態]
上記した第2の属性は、前記人物の容貌から推定したハンディキャップの内容であり、
前記送信手段は、前記タクシーの配車要求先の業者の端末に対して、前記第2の属性として推定したハンディキャップに関する情報を送信する構成を採ることができる。
[第7の形態]
上記した第2の属性は、前記人物の服装又は携行物から推定したコミュニケーション言語又は旅行目的であり、
前記送信手段は、前記タクシーの配車要求先の業者の端末に対して、前記第2の属性として推定した前記コミュニケーション言語に関する情報又は前記旅行目的に関する情報を送信する構成を採ることができる。
[第8の形態]
(上記第2の視点による乗客情報収集方法参照)
[第9の形態]
(上記第3の視点によるプログラム参照)
なお、上記第8~第9の形態は、第1の形態と同様に、第2~第7の形態に展開することが可能である。
11 受信手段
12 画像取得手段
13 確認手段
14 送信手段
20、200 端末
30、300 カメラ
40、400 配車システム
101 受信部
102 画像取得部
103 確認部
104、104a 送信部
105 分類器
105a、105b 多クラス分類器
106 属性検出部
9000 コンピュータ
9010 CPU
9020 通信インタフェース
9030 メモリ
9040 補助記憶装置
Claims (9)
- 道路周辺に設置されたカメラから画像を取得可能であり、
乗用旅客車両の配車を行う配車システムから、予約を行った利用者の情報を受信する受信手段と、
前記利用者の情報に基づき、カメラからタクシーの配車要求を行った人物が写った画像を取得する画像取得手段と、
前記画像中の人物の像に基づいて、前記人物がマスクを装着しているか否かを確認する確認手段と、
タクシーの配車要求先の業者の端末に対して、前記タクシーの配車要求を行った人物がマスクを装着しているか否かの情報を送信する送信手段と、
を備える乗客情報収集システム。 - さらに、
前記画像中の人物の像に基づいて、前記人物に適した運転手を割り当てるための第1の属性を検出する第1の属性検出手段を備え、
前記送信手段は、前記タクシーの配車要求先の業者の端末に対して、前記第1の属性に関する情報を送信する、
請求項1の乗客情報収集システム。 - 前記第1の属性は、前記人物の容貌から推定したコミュニケーション言語であり、
前記送信手段は、前記タクシーの配車要求先の業者の端末に対して、前記第1の属性として推定した前記コミュニケーション言語に関する情報を送信する、
請求項2の乗客情報収集システム。 - 前記第1の属性は、前記人物の服装又は携行物から推定した旅行目的であり、
前記送信手段は、前記タクシーの配車要求先の業者の端末に対して、前記第1の属性として推定した前記旅行目的に関する情報を送信する、
請求項2の乗客情報収集システム。 - さらに、
前記画像中の人物の像に基づいて、前記人物に適した車両を割り当てるための第2の属性を検出する第2の属性検出手段を備え、
前記送信手段は、前記タクシーの配車要求先の業者の端末に対して、前記第2の属性に関する情報を送信する、
請求項1から4いずれか一の乗客情報収集システム。 - 前記第2の属性は、前記人物の容貌から推定したハンディキャップの内容であり、
前記送信手段は、前記タクシーの配車要求先の業者の端末に対して、前記第2の属性として推定した前記ハンディキャップに関する情報を送信する、
請求項5の乗客情報収集システム。 - 前記第2の属性は、前記人物の服装又は携行物から推定したコミュニケーション言語又は旅行目的であり、
前記送信手段は、前記タクシーの配車要求先の業者の端末に対して、前記第2の属性として推定した前記コミュニケーション言語に関する情報又は前記旅行目的に関する情報を送信する、
請求項5の乗客情報収集システム。 - 道路周辺に設置されたカメラから画像を取得可能な乗客情報収集システムが、
乗用旅客車両の配車を行う配車システムから、予約を行った利用者の情報を受信し、
前記利用者の情報に基づき、前記カメラからタクシーの配車要求を行った人物が写った画像を取得し、
前記画像中の人物の像に基づいて、前記人物がマスクを装着しているか否かを確認し、
タクシーの配車要求先の業者の端末に対して、前記タクシーの配車要求を行った人物がマスクを装着しているか否かの情報を送信する、
乗客情報収集方法。 - 道路周辺に設置されたカメラから画像を取得可能なコンピュータに、
乗用旅客車両の配車を行う配車システムから、予約を行った利用者の情報を受信する処理と、
前記利用者の情報に基づき、前記カメラからタクシーの配車要求を行った人物が写った画像を取得する処理と、
前記画像中の人物の像に基づいて、前記人物がマスクを装着しているか否かを確認する処理と、
タクシーの配車要求先の業者の端末に対して、前記タクシーの配車要求を行った人物がマスクを装着しているか否かの情報を送信する処理と、
を実行させるプログラムを記録したプログラム記録媒体。
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