TWI713891B - Method, device and equipment for public transportation payment - Google Patents

Method, device and equipment for public transportation payment Download PDF

Info

Publication number
TWI713891B
TWI713891B TW107130833A TW107130833A TWI713891B TW I713891 B TWI713891 B TW I713891B TW 107130833 A TW107130833 A TW 107130833A TW 107130833 A TW107130833 A TW 107130833A TW I713891 B TWI713891 B TW I713891B
Authority
TW
Taiwan
Prior art keywords
image
recognized
collected
user
payment
Prior art date
Application number
TW107130833A
Other languages
Chinese (zh)
Other versions
TW201918952A (en
Inventor
徐文海
Original Assignee
開曼群島商創新先進技術有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 開曼群島商創新先進技術有限公司 filed Critical 開曼群島商創新先進技術有限公司
Publication of TW201918952A publication Critical patent/TW201918952A/en
Application granted granted Critical
Publication of TWI713891B publication Critical patent/TWI713891B/en

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/30Payment architectures, schemes or protocols characterised by the use of specific devices or networks
    • G06Q20/32Payment architectures, schemes or protocols characterised by the use of specific devices or networks using wireless devices
    • G06Q20/327Short range or proximity payments by means of M-devices
    • G06Q20/3274Short range or proximity payments by means of M-devices using a pictured code, e.g. barcode or QR-code, being displayed on the M-device
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/14Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
    • G06K7/1404Methods for optical code recognition
    • G06K7/1408Methods for optical code recognition the method being specifically adapted for the type of code
    • G06K7/14172D bar codes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/30Payment architectures, schemes or protocols characterised by the use of specific devices or networks
    • G06Q20/32Payment architectures, schemes or protocols characterised by the use of specific devices or networks using wireless devices
    • G06Q20/327Short range or proximity payments by means of M-devices
    • G06Q20/3278RFID or NFC payments by means of M-devices

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Health & Medical Sciences (AREA)
  • Electromagnetism (AREA)
  • General Health & Medical Sciences (AREA)
  • Toxicology (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Devices For Checking Fares Or Tickets At Control Points (AREA)

Abstract

本說明書公開一種公共交通支付的方法、裝置及設備,該方法中公共交通工具的收款設備可在觸發收取乘車費的業務時,監測是否通採集到待識別圖像,當確定採集到待識別圖像時,通過解析該待識別圖像獲取使用者的支付資訊,而當確定未採集到待識別圖像時,則可以通過近場非接觸式的採集方式採集該支付資訊,進而根據通過解析圖像或近場非接觸式的採集方式獲取到的支付資訊進行支付處理。This specification discloses a public transportation payment method, device and equipment. In this method, the payment collection equipment of public transportation means can monitor whether the image to be recognized has been collected when the service of collecting the ride fare is triggered. When recognizing the image, the payment information of the user is obtained by analyzing the image to be recognized. When it is determined that the image to be recognized is not collected, the payment information can be collected through a near-field non-contact collection method, and then according to the Analyze payment information obtained by image or near-field non-contact collection methods for payment processing.

Description

一種公共交通支付的方法、裝置及設備Method, device and equipment for public transportation payment

本說明書涉及電腦技術領域,尤其涉及一種公共交通支付的方法、裝置及設備。This manual relates to the field of computer technology, in particular to a method, device and equipment for public transportation payment.

當前,諸如手機、平板電腦等移動終端整合有多項功能,使用者可通過終端中整合的這些功能,在不同的業務場景中對不同的業務進行處理。   在實際應用中,使用者通常往往需要固定的業務處理方式在一些業務場景中進行業務處理。例如,在使用者乘坐地鐵時,該使用者往往需要使用支援近場無線通訊(Near Field Communication,NFC)功能的終端或是含有NFC晶片的地鐵卡支付乘車費用,而使用者無法通過其他的支付方式來支付乘車費用。   基於現有技術,需要更為有效的支付方式。Currently, mobile terminals such as mobile phones and tablet computers integrate multiple functions, and users can process different services in different business scenarios through these functions integrated in the terminal.  In practical applications, users usually need a fixed business processing method to perform business processing in some business scenarios. For example, when a user takes the subway, the user often needs to use a terminal that supports Near Field Communication (NFC) functions or a subway card containing an NFC chip to pay for the ride, and the user cannot use other Payment method to pay for the ride.   Based on existing technology, a more effective payment method is needed.

本說明書提供一種公共交通支付的方法,用以解決現有技術的支付方式過於單一而給使用者在支付乘車費的過程中帶來不便的問題。   本說明書提供了一種公共交通支付的方法,包括:   當公共交通工具的收款設備監測到設定距離內存在目標物時,觸發收取乘車費的業務;   當觸發所述收取乘車費的業務時,所述公共交通工具的收款設備判斷是否採集到待識別圖像;   當確定採集到所述待識別圖像時,則解析所述待識別圖像獲取使用者的支付資訊;   當確定未採集到所述待識別圖像時,則通過近場非接觸式的採集方式採集所述使用者的支付資訊;   根據通過解析圖像或近場非接觸式的採集方式獲得的支付資訊進行支付處理。   本說明書提供一種公共交通支付的裝置,用以解決現有技術的支付方式過於單一而給使用者在支付乘車費的過程中帶來不便的問題。   本說明書提供了一種公共交通支付的裝置,包括:   監測模組,當所述裝置監測到設定距離內存在目標物時,觸發收取乘車費的業務;   第一採集模組,當觸發所述收取乘車費的業務時,判斷是否採集到待識別圖像;當確定採集到所述待識別圖像時,則解析所述所述待識別圖像獲取使用者的支付資訊;   第二採集模組,當確定未採集到所述待識別圖像時,則通過近場非接觸式的採集方式採集所述使用者的支付資訊;   處理模組,根據通過解析圖像或近場非接觸式的採集方式獲得的支付資訊進行支付處理。   本說明書提供一種公共交通支付的設備,用以解決現有技術的支付方式過於單一而給使用者在支付乘車費的過程中帶來不便的問題。   本說明書提供了一種公共交通支付的設備,包括:一個或多個記憶體以及處理器,所述記憶體儲存程式,並且被配置成由所述一個或多個處理器執行以下步驟:   當所述設備監測到設定距離內存在目標物時,觸發收取乘車費的業務;   當觸發所述收取乘車費的業務時,所述設備判斷是否採集到待識別圖像;   當確定採集到所述待識別圖像時,則解析所述待識別圖像獲取使用者的支付資訊;   當確定未採集到所述待識別圖像時,則通過近場非接觸式的採集方式採集所述使用者的支付資訊;   根據通過解析圖像或近場非接觸式的採集方式獲得的支付資訊進行支付處理。   本說明書採用的上述至少一個技術方案能夠達到以下有益效果:   在本說明書一個或多個實施例中,由於即使無法通過採集待識別圖像的方式獲取到使用者的支付資訊,也可以通過近場非接觸式的採集方式採集到使用者的支付資訊,進而通過採集到的支付資訊收取使用者的乘車費。換句話說,由於公共交通工具的收款設備可以通過多種採集方式對支付資訊進行採集,這樣即使使用者只能通過單一的方式提供該支付資訊,該收款設備也可以通過多種採集方式採集到該支付資訊,從而給使用者支付乘車費的過程中帶來了極大的便利。This manual provides a public transportation payment method to solve the problem that the payment method in the prior art is too single and causes inconvenience to the user in the process of paying the ride fare. This manual provides a public transportation payment method, including:    when the payment collection device of the public transportation means detects that there is a target within a set distance, triggering the service of collecting the fare;   when triggering the service of collecting the fare , The payment collection device of the public transportation means determines whether the image to be recognized is collected;    when it is determined that the image to be recognized is collected, the image to be recognized is analyzed to obtain the user's payment information;    when it is determined that the image to be recognized is not collected When it comes to the image to be identified, the payment information of the user is collected by a near-field non-contact collection method;  ” is used for payment processing based on the payment information obtained by analyzing the image or the near-field non-contact collection method.   This manual provides a public transportation payment device to solve the problem that the prior art payment method is too single and causes inconvenience to the user in the process of paying the ride fare. This manual provides a public transportation payment device, including:    monitoring module, when the device detects that there is a target within a set distance, trigger the service of collecting fares;    the first collection module, when the collection is triggered In the business of traveling fare, it is determined whether the image to be recognized is collected; when it is determined that the image to be recognized is collected, the image to be recognized is analyzed to obtain the user's payment information;    second collection module When it is determined that the image to be recognized is not collected, the payment information of the user is collected through a near-field non-contact collection method;    processing module, according to the analysis of the image or the near-field non-contact collection Method of obtaining payment information for payment processing.   This manual provides a public transportation payment device to solve the problem that the payment method in the prior art is too single and causes inconvenience to the user in the process of paying the fare. This specification provides a public transportation payment device, including: one or more memories and a processor, the memory stores a program, and is configured to execute the following steps by the one or more processors:   当 said When the device detects that there is a target within the set distance, it triggers the service of collecting the fare;   When the service of collecting the fare is triggered, the device determines whether the image to be recognized is collected;   When it is determined that the waiting is collected When the image is recognized, the payment information of the user is obtained by analyzing the image to be recognized;    when it is determined that the image to be recognized is not collected, the payment of the user is collected by a near-field non-contact collection method Information;    Perform payment processing based on payment information obtained through image analysis or near-field non-contact collection methods. The above-mentioned at least one technical solution adopted in this specification can achieve the following beneficial effects:    In one or more embodiments of this specification, even if the user’s payment information cannot be obtained by collecting the image to be recognized, the near-field The non-contact collection method collects the user's payment information, and then collects the user's ride fare through the collected payment information. In other words, because the payment collection device of public transportation can collect payment information through multiple collection methods, even if the user can only provide the payment information through a single method, the collection device can also collect payment information through multiple collection methods. This payment information brings great convenience to the user in the process of paying the ride fare.

在現有技術中,使用者在一些業務場景中往往需要固定的業務處理方式進行業務處理。例如,使用者在乘坐地鐵時,需要使用終端的NFC功能或是含有NFC晶片的地鐵卡才能支付乘車費用,而無法通過其他的方式進行乘車費用的支付。換句話說,使用者只能通過終端或地鐵卡的NFC功能,向地鐵的閘機提供自己的支付資訊,而無法通過其他的方式向地鐵的閘機提供該支付資訊。所以,使用者所持終端或地鐵卡的NFC功能出現了故障,或是終端不具備NFC功能,則無法對乘車費用進行支付,這就極大的限制了使用者支付乘車費的方式,從而給使用者在支付乘車費的過程中帶來了不便。   為此,本說明書提供了一種支付的方法,公共交通工具的收款設備可在觸發收取乘車費的業務時,監測是否通採集到待識別圖像,當確定採集到待識別圖像時,通過解析該待識別圖像獲取使用者的支付資訊,而當確定未採集到待識別圖像時,則可以通過近場非接觸式的採集方式採集該支付資訊,進而根據通過解析圖像或近場非接觸式的採集方式獲取到的支付資訊進行支付處理。   由於公共交通工具的收款設備即使無法通過採集待識別圖像的方式獲取到使用者的支付資訊,也可以通過近場非接觸式的採集方式採集到使用者的支付資訊,進而通過採集到的支付資訊收取該使用者的乘車費。換句話說,由於可以通過多種採集方式對支付資訊進行採集,這樣即使使用者只能通過單一的方式提供該支付資訊,該收款設備也可以通過多種採集方式採集到該支付資訊,從而給使用者支付乘車費的過程中帶來了極大的便利,給使用者的公共出行帶來了極大的方便。   為了使本技術領域的人員更好地理解本說明書一個或多個實施例中的技術方案,下面將結合本說明書一個或多個實施例中的附圖,對本說明書一個或多個實施例中的技術方案進行清楚、完整地描述,顯然,所描述的實施例僅僅是本說明書一部分實施例,而不是全部的實施例。基於本說明書中的實施例,本領域普通技術人員在沒有作出創造性勞動前提下所獲得的所有其他實施例,都應當屬於本說明書保護的範圍。   圖1為本說明書提供的公共交通支付過程的示意圖,具體包括以下步驟:   S100:當公共交通工具的收款設備監測到設定距離內存在目標物時,觸發收取乘車費的業務。   在本說明書中,公共交通工具的收款設備在觸發收取乘車費的業務時,可監測是否採集到待識別圖像。其中,這裡提到的收款設備可以是指諸如地鐵、公車等公共交通工具用於收取使用者乘車費的終端設備,如,地鐵的閘機等。   該收款設備上可設置一個測距儀,該測距儀可以不斷的向收款設備的周圍(或者向該收款設備的一個方向)發射訊號(如紅外線、聲波等),當遇到目標物時,該測距儀可以接收到相應的反射訊號,繼而監測到目標物的存在。該收款設備可以進一步的根據發射訊號和接收反射訊號的時間差,確定出目標物與收款設備之間的距離,當監測到該目標物位於設定距離內時,則可確定有使用者接近該收款設備,並需要支付乘車費,進而觸發收取乘車費的業務。其中,這裡提到的設定距離可以由人為根據實際需求來進行設定,而這裡提到的目標物可以是指使用者。   進一步的,收款設備可以通過該測距儀不斷的向外發射訊號,以及經由位於設定距離內存在的目標物所返回的返回訊號,確定該目標物是否逐漸接近該收款設備。當監測到發射訊號與經由該目標物返回的返回訊號之間的時間差逐漸變短時,則可確定該目標物逐漸接近該收款設備,進而觸發收取乘車費的業務。   S102:當觸發所述收取乘車費的業務時,所述公共交通工具的收款設備判斷是否採集到待識別圖像。   在本說明書中,收款設備觸發收取乘車費的業務時,可以啟動第一採集模組,以通過該第一採集模組判斷是否採集待識別圖像。其中,這裡提到的待識別圖像可以是諸如條碼、二維碼等資料物件唯一識別碼(Digital Object Unique Identifier,DOI)。當確定採集到待識別圖像時,可以通過解析圖像的方式從該待識別圖像中獲取使用者的支付資訊,進而在後續過程中,通過該支付資訊收取使用者的乘車費。   例如,假設在地鐵的閘機(即收款設備)中設有採集使用者支付二維碼的攝像頭,使用者在通過閘機乘坐地鐵的過程中,可以在手機中調出自己的支付二維碼,並將手機的螢幕放置在該攝像頭的前方,以使閘機可以通過該攝像頭採集使用者通過手機展示的支付二維碼。   在本說明書中,公共交通工具的收款設備可以在觸發收取乘車費的業務時,通過第一採集模組逐幀採集圖像,並對採集到的圖像逐幀進行分析,以判斷是否採集到待識別圖像。當確定從採集到的圖像中識別出指定資訊時,則確定採集到待識別圖像。例如,公共交通工具的收款設備可以通過設置的攝像頭進行圖像採集,當從採集到的圖像中識別出二維碼時,則可以確定採集到待識別圖像。   S104:當確定採集到所述待識別圖像時,則解析所述待識別圖像獲取使用者的支付資訊。   當確定採集到待識別圖像中,可以對該待識別圖像進行解析,以從該待識別圖像中獲取到使用者的支付資訊,進而在後續的過程中,通過獲取到的支付資訊,進行支付處理。   在本說明書中,待識別圖像可以是終端根據使用者的支付資訊以及其他資訊生成的具有標識使用者作用的唯一圖像,即,該圖像可以是唯一固定的,不會發生變化。當然,該待識別圖像也可以是終端根據使用者的支付資訊、時間資訊以及其他資訊離線生成的圖像,由於該待識別圖像是根據時間資訊生成的,所以每次終端展示出的包含有使用者支付資訊的待識別圖像均不相同,這樣可以提高使用者資訊的安全性。   S106:當確定未採集到所述待識別圖像時,則通過近場非接觸式的採集方式採集所述使用者的支付資訊。   當收款設備確定未採集到待識別圖像時時,則可切換至近場非接觸式的採集方式所對應的第二採集模組,以通過該第二採集模組,採集使用者的支付資訊。   其中,該收款設備監測在觸發收取乘車費的業務後經過設定時間依然未採集到待識別圖像時,則可確定未採集到待識別圖像。此時可切換至近場非接觸式的採集方式對應的第二採集模組,以通過另一種採集方式採集使用者的支付資訊。   在本說明書中,該近場非接觸式的採集方式可以用於採集NFC訊號,相應的,該近場非接觸式的採集方式所對應的第二採集模組可以是NFC訊號採集器,該NFC訊號採集器可以向周圍的終端廣播NFC激發訊號,終端的NFC晶片在接收到該NFC激發訊號後,可廣播攜帶有使用者的支付資訊的NFC訊號,而該NFC訊號採集器可接收到終端廣播的該NFC訊號,進而從該NFC訊號中提取出使用者的支付資訊。   S108:根據通過解析圖像或近場非接觸式的採集方式獲得的支付資訊進行支付處理。   公共交通工具的收款設備採集到使用者的支付資訊後,可以根據該支付資訊,確定出使用者此次乘車所需的費用,進而從該使用者的帳戶中扣除這部分費用。例如,使用者在出站時,若地鐵的閘機成功從使用者通過手機展示的支付二維碼中採集到使用者的支付資訊,則可將該支付資訊發送給伺服器,伺服器可根據該支付資訊中包含的使用者標識,確定出使用者乘坐地鐵時途徑的各站,從而確定出使用者乘坐地鐵的費用,進而根據該費用以及該支付資訊中包含的帳戶資訊,對使用者進行扣款。   再例如,使用者在出站時,若地鐵的閘機成功通過NFC訊號採集器採集到使用者的支付資訊,則可以將該支付資訊發送給伺服器,以通過伺服器確定出的該使用者此次乘車的費用,對該使用者實施扣費。   需要說明的是,使用者在乘坐地鐵時,需要經歷進站和出站兩個環節,在進站的環節中,地鐵的閘機可以通過解析待識別圖像的(也可以是近場非接觸式的採集方式)採集到使用者的支付資訊,並將該支付資訊作為標識資訊發送給伺服器,而伺服器可以通過該支付資訊以及發送該支付資訊的閘機,標識出使用者乘坐地鐵的起始站,進而當後續再次接收到該支付資訊時,可以確定出使用者乘坐地鐵時途徑的各站,從而確定出使用者乘坐地鐵所需支付的乘車費。   在實際應用中,當該第二採集模組為NFC訊號採集器時,該第二採集模組可以先處於關閉或休眠狀態,此時該第二採集模組將不會接收或發送任何訊號,而當收款設備未採集到待識別圖像時,則可關閉或休眠第一採集模組,並啟動該第二採集模組,以通過近場非接觸式的採集方式採集使用者的支付資訊。   繼續沿用上例,當使用者在出站時,地鐵的閘機(即收款設備)確定未採集到待識別圖像時,可以切換至近場非接觸式的採集方式,以通過該近場非接觸式的採集方式採集使用者手機所廣播的NFC訊號,並將從該NFC訊號中提取出的使用者的支付資訊發送給伺服器。伺服器可以根據該支付資訊,以及發送該支付資訊的地鐵閘機,確定出使用者乘坐地鐵所途徑的各站,從而確定出使用者此次乘坐所應支付的乘車費,進而將該乘車費發送給地鐵的閘機。該閘機可根據接收到的乘車費,向使用者發送包含有扣款資料的NFC訊號,使用者手機中的NFC晶片可以根據該NFC訊號,更新NFC晶片中記錄的使用者的帳戶餘額。   需要說明的是,在本說明書中,該收款設備在同一時間內可以只啟用一種採集方式對使用者的支付資訊進行採集,如,當收款設備當前啟用第一採集模組採集待識別圖像時,則可關閉或休眠第二採集模組,而當收款設備當前啟用近場非接觸式的採集方式採集使用者的支付資訊時,則可關閉或休眠第一採集模組。其中,收款設備在同一時間內只啟用一種採集方式的目的在於:若收款設備同時啟用兩種(或兩種以上)的採集方式,則可能會對使用者進行支付處理的過程中造成影響。   例如,若地鐵的閘機同時啟用兩種採集方式,則當使用者將手機所展示的支付二維碼放置在該閘機用於採集待識別圖像的攝像頭時,第二採集模組可能也會獲取到手機廣播的攜帶有使用者的支付資訊的NFC訊號,這時,使用者的手機上可能會相應的彈出利用NFC功能支付乘車費的頁面,而該頁面可能會將使用者利用掃碼支付乘車費的頁面覆蓋掉,從而給使用者利用掃碼支付乘車費的過程帶來困擾。   在本說明書中,當收款設備通過近場非接觸式的採集方式採集到的支付資訊收取到使用者的乘車費後,可以關閉或休眠第二採集模組,並開啟第一採集模組,進而當再次觸發收取乘車費的業務時,通過該第一採集模組採集待識別圖像。   從上述方法中可以看出,由於公共交通工具的收款設備即使無法通過採集待識別圖像的方式獲取到使用者的支付資訊,也可以通過近場非接觸式的採集方式採集到使用者的支付資訊,進而通過採集到的支付資訊收取使用者的乘車費。換句話說,由於可以通過多種採集方式對支付資訊進行採集,這樣即使使用者只能通過單一的方式提供該支付資訊,該收款設備也可以通過多種採集方式採集到該支付資訊,從而給使用者支付乘車費的過程中帶來了極大的便利,給使用者的公共出行帶來了極大的方便。   為了進一步的描述本說明書提供的公共交通支付方法,下面將以一個詳細的實例來對該公共交通支付方法所涉及的整個過程進行說明,如圖2所示。   圖2為本說明書提供的整個公共交通支付方法的過程示意圖。   在使用者乘坐地鐵時,地鐵的閘機可以通過設置的測距儀向周圍發射訊號,以探測是否有目標物接近該閘機。當使用者接近該閘機時,該閘機可以通過發射的訊號以及經由該使用者所返回的訊號,確定出當前正有使用者接近該閘機,進而可確定觸發收取乘車費的業務。   使用者可以在自己所持有的手機中調出包含有使用者的支付資訊的支付二維碼,而使用者可將手機介面中顯示的支付二維碼展示給地鐵的閘機進行掃描,其中,該地鐵的閘機如圖3所示。   圖3為本說明書提供的地鐵的閘機的示意圖。   地鐵的閘機(即上述收款設備)中設有能夠採集支付二維碼的圖像採集器(如上述提到的攝像頭),當使用者將展示有支付二維碼的手機的螢幕貼在該圖像採集器時,該圖像採集器將採集到該手機所展示的支付二維碼,進而使該閘機可以對該支付二維碼進行識別。當該閘機成功從該支付二維碼中採集到使用者的支付資訊時,則可以根據該支付資訊,確定出使用者乘坐地鐵所應支付的乘車費,並執行相應的扣款操作。   而當該地鐵的閘機確定未採集到該支付二維碼時,則可以啟動該閘機中設置的NFC訊號採集器。其中,該NFC訊號採集器通常情況下可以處於關閉或休眠狀態,而當該閘機未能通過圖像採集器採集到支付二維碼時,該閘機可以將該NFC訊號採集器進行啟動。   地鐵的閘機可以通過該NFC訊號採集器,獲取到終端廣播的包含有使用者的支付資訊的NFC訊號,並從該NFC訊號中提取出該支付資訊,進而該閘機可以根據該支付資訊,執行相應的扣款操作。   而當地鐵的閘機通過該NFC訊號採集器完成扣款操作後,可將該NFC訊號採集器進行關閉或休眠,進而通過圖像採集器,對後續使用者的支付資訊進行採集。   需要說明的是,使用者可以在進站時,向地鐵的閘機(位於進站的閘機)展示自己的支付二維碼,而該閘機可以從該支付二維碼中採集到使用者的支付資訊,進而將該支付資訊作為標識資訊發送給伺服器,以使伺服器通過該支付資訊以及發送該支付資訊的地鐵的閘機,標識出使用者乘坐地鐵的起始站。而使用者在出站時,可以開啟手機的NFC模組,以使地鐵的閘機(位於出站的閘機)獲取到的使用者的手機所廣播的NFC訊號,進而從該NFC訊號中提取出使用者的支付資訊。該閘機可將提取出的支付資訊發送給伺服器,以通過伺服器根據該支付資訊確定出的使用者乘坐地鐵所需支付的乘車費,執行相應的扣款操作。換句話說,地鐵的閘機在使用者進站時,可以通過一種採集方式採集使用者的支付資訊,而當使用者出站時,地鐵的閘機可以通過另一種採集方式採集使用者的支付資訊,並對使用者實施扣款操作。   在本說明書中,公共交通工具的收款設備也可以在確定未從待識別圖像中成功獲取到使用者的支付資訊,切換至第二採集模組,以通過近場非接觸式的採集方式採集使用者的支付資訊。具體的,公共交通工具的收款設備在確定出採集到待識別圖像後,可以對該待識別圖像進行解析,以從該待識別圖像中獲取使用者的支付資訊。而當確定經過預設時間後依然未從該待識別圖像中獲取到使用者的支付資訊,則可以採集近場非接觸式的採集方式,對使用者的支付資訊進行採集。   在本說明書中,收款設備也可以通過對採集到的圖像進行分析,來確定是否觸發收取乘車費的業務。具體的,當該收款設備採集到的圖像與採集到的環境圖像不符時,則可監測到設定距離內存在目標物,進而觸發收取乘車費的業務。   例如,該地鐵的閘機上設置的用於採集支付二維碼的攝像頭可以時刻處於開啟狀態,相應的,該閘機可以通過該攝像頭採集正對該攝像頭的環境圖像。而由於該閘機通常處於固定位置,所以,該閘機採集到的環境圖像也應是固定不變的。因此,當該閘機確定通過該攝像頭採集到的圖像與先前採集到的環境圖像不符時,則可確定該閘機附近存在目標物,進而觸發收取乘車費的業務。   換句話說,當沒有使用者通過該收款設備支付乘車費時,該收款設備通過該攝像頭採集到的圖像應一直是固定不變的環境圖像,而由於當使用者接近該收款設備時,該收款設備通過攝像頭所採集到的使用者的圖像與先前採集到的環境圖像具備顯著的差別,因此可以監測到設定距離內存在目標物,進而觸發收取乘車費的業務。   以上為本說明書的一個或多個實施例提供的公共交通支付的方法,基於同樣的思路,本說明書還提供了相應的公共交通支付的裝置,如圖4所示。   圖4為本說明書提供的一種公共交通支付的裝置示意圖,具體包括:   監測模組401,當所述裝置監測到設定距離內存在目標物時,觸發收取乘車費的業務;   第一採集模組402,當觸發所述收取乘車費的業務時,判斷是否採集到待識別圖像;當確定採集到所述待識別圖像時,則解析所述所述待識別圖像獲取使用者的支付資訊;   第二採集模組403,當確定未採集到所述待識別圖像時,則通過近場非接觸式的採集方式採集所述使用者的支付資訊;   處理模組404,根據通過解析圖像或近場非接觸式的採集方式獲得的支付資訊進行支付處理。   所述待識別圖像包括:數位物件唯一識別碼DOI。   所述第一採集模組402,當監測到在觸發所述收取乘車費的業務後經過設定時間未採集到所述待識別圖像,則確定未採集到所述待識別圖像。   所述第二採集模組403,採集近場無線通訊NFC訊號,從所述NFC訊號中提取所述使用者的支付資訊。   所述裝置還包括:   控制模組405,當確定所述第一採集模組402未採集到所述待識別圖像時,關閉所述第一採集模組402,開啟所述第二採集模組403;當確定所述第二採集模組403通過所述近場非接觸式的採集方式採集到使用者的支付資訊後,關閉所述第二採集模組403,開啟所述第一採集模組402。   基於上述說明的公共交通支付的方法,本說明書還對應提供了一種公共交通支付的設備,如圖5所示。該公共交通支付的設備包括一個或多個處理器及記憶體,所述記憶體儲存有程式,並且被配置成由所述一個或多個處理器執行以下步驟:   當所述設備監測到設定距離內存在目標物時,觸發收取乘車費的業務;   當觸發所述收取乘車費的業務時,所述設備判斷是否採集到待識別圖像;   當確定採集到所述待識別圖像時,則解析所述待識別圖像獲取使用者的支付資訊;   當確定未採集到所述待識別圖像時,則通過近場非接觸式的採集方式採集所述使用者的支付資訊;   根據通過解析圖像或近場非接觸式的採集方式獲得的支付資訊進行支付處理。   在本說明書的一個或多個實施例中,公共交通工具的收款設備可在觸發收取乘車費的業務時,監測是否通採集到待識別圖像,當確定採集到待識別圖像時,通過解析該待識別圖像獲取使用者的支付資訊,而當確定未採集到待識別圖像時,則可以通過近場非接觸式的採集方式採集該支付資訊,進而根據通過解析圖像或近場非接觸式的採集方式獲取到的支付資訊進行支付處理。   由於公共交通工具的收款設備即使無法通過採集待識別圖像的方式獲取到使用者的支付資訊,也可以通過近場非接觸式的採集方式採集到使用者的支付資訊,進而通過採集到的支付資訊收取該使用者的乘車費。換句話說,由於可以通過多種採集方式對支付資訊進行採集,這樣即使使用者只能通過單一的方式提供該支付資訊,該收款設備也可以通過多種採集方式採集到該支付資訊,從而給使用者支付乘車費的過程中帶來了極大的便利,給使用者的公共出行帶來了極大的方便。   在20世紀90年代,對於一個技術的改進可以很明顯地區分是硬體上的改進(例如,對二極體、電晶體、開關等電路結構的改進)還是軟體上的改進(對於方法流程的改進)。然而,隨著技術的發展,當今的很多方法流程的改進已經可以視為硬體電路結構的直接改進。設計人員幾乎都通過將改進的方法流程程式設計到硬體電路中來得到相應的硬體電路結構。因此,不能說一個方法流程的改進就不能用硬體實體模組來實現。例如,可程式設計邏輯裝置(Programmable Logic Device, PLD)(例如現場可程式設計閘陣列(Field Programmable Gate Array,FPGA))就是這樣一種積體電路,其邏輯功能由使用者對裝置程式設計來確定。由設計人員自行程式設計來把一個數位系統“整合”在一片PLD上,而不需要請晶片製造廠商來設計和製作專用的積體電路晶片。而且,如今,取代手工地製作積體電路晶片,這種程式設計也多半改用“邏輯編譯器(logic compiler)”軟體來實現,它與程式開發撰寫時所用的軟體編譯器相類似,而要編譯之前的原始代碼也得用特定的程式設計語言來撰寫,此稱之為硬體描述語言(Hardware Description Language,HDL),而HDL也並非僅有一種,而是有許多種,如ABEL(Advanced Boolean Expression Language)、AHDL(Altera Hardware Description Language)、Confluence、CUPL(Cornell University Programming Language)、HDCal、JHDL(Java Hardware Description Language)、Lava、Lola、MyHDL、PALASM、RHDL(Ruby Hardware Description Language)等,目前最普遍使用的是VHDL(Very-High-Speed Integrated Circuit Hardware Description Language)與Verilog。本領域技術人員也應該清楚,只需要將方法流程用上述幾種硬體描述語言稍作邏輯程式設計並程式設計到積體電路中,就可以很容易得到實現該邏輯方法流程的硬體電路。   控制器可以按任何適當的方式實現,例如,控制器可以採取例如微處理器或處理器以及儲存可由該(微)處理器執行的電腦可讀程式碼(例如軟體或固件)的電腦可讀介質、邏輯閘、開關、專用積體電路(Application Specific Integrated Circuit,ASIC)、可程式設計邏輯控制器和嵌入微控制器的形式,控制器的例子包括但不限於以下微控制器:ARC 625D、Atmel AT91SAM、Microchip PIC18F26K20以及Silicone Labs C8051F320,記憶體控制器還可以被實現為記憶體的控制邏輯的一部分。本領域技術人員也知道,除了以純電腦可讀程式碼方式實現控制器以外,完全可以通過將方法步驟進行邏輯程式設計來使得控制器以邏輯閘、開關、專用積體電路、可程式設計邏輯控制器和嵌入微控制器等的形式來實現相同功能。因此這種控制器可以被認為是一種硬體部件,而對其內包括的用於實現各種功能的裝置也可以視為硬體部件內的結構。或者甚至,可以將用於實現各種功能的裝置視為既可以是實現方法的軟體模組又可以是硬體部件內的結構。   上述實施例闡明的系統、裝置、模組或單元,具體可以由電腦晶片或實體實現,或者由具有某種功能的產品來實現。一種典型的實現設備為電腦。具體的,電腦例如可以為個人電腦、膝上型電腦、蜂窩電話、相機電話、智慧型電話、個人數位助理、媒體播放機、導航設備、電子郵件設備、遊戲控制台、平板電腦、可穿戴設備或者這些設備中的任何設備的組合。   為了描述的方便,描述以上裝置時以功能分為各種單元分別描述。當然,在實施本說明書時可以把各單元的功能在同一個或多個軟體和/或硬體中實現。   本領域內的技術人員應明白,本說明書的實施例可提供為方法、系統、或電腦程式產品。因此,本說明書可採用完全硬體實施例、完全軟體實施例、或結合軟體和硬體方面的實施例的形式。而且,本說明書可採用在一個或多個其中包含有電腦可用程式碼的電腦可用儲存介質(包括但不限於磁碟記憶體、CD-ROM、光學記憶體等)上實施的電腦程式產品的形式。   本說明書是參照根據本說明書一個或多個實施例的方法、設備(系統)、和電腦程式產品的流程圖和/或方塊圖來描述的。應理解可由電腦程式指令實現流程圖和/或方塊圖中的每一流程和/或方塊、以及流程圖和/或方塊圖中的流程和/或方塊的結合。可提供這些電腦程式指令到通用電腦、專用電腦、嵌入式處理機或其他可程式設計資料處理設備的處理器以產生一個機器,使得通過電腦或其他可程式設計資料處理設備的處理器執行的指令產生用於實現在流程圖一個流程或多個流程和/或方塊圖一個方塊或多個方塊中指定的功能的裝置。   這些電腦程式指令也可儲存在能引導電腦或其他可程式設計資料處理設備以特定方式工作的電腦可讀記憶體中,使得儲存在該電腦可讀記憶體中的指令產生包括指令裝置的製造品,該指令裝置實現在流程圖一個流程或多個流程和/或方塊圖一個方塊或多個方塊中指定的功能。   這些電腦程式指令也可裝載到電腦或其他可程式設計資料處理設備上,使得在電腦或其他可程式設計設備上執行一系列操作步驟以產生電腦實現的處理,從而在電腦或其他可程式設計設備上執行的指令提供用於實現在流程圖一個流程或多個流程和/或方塊圖一個方塊或多個方塊中指定的功能的步驟。   在一個典型的配置中,計算設備包括一個或多個處理器(CPU)、輸入/輸出介面、網路介面和記憶體。   記憶體可能包括電腦可讀介質中的非永久性記憶體,隨機存取記憶體(RAM)和/或非揮發性記憶體等形式,如唯讀記憶體(ROM)或快閃記憶體(flash RAM)。記憶體是電腦可讀介質的示例。   電腦可讀介質包括永久性和非永久性、可移動和非可移動媒體可以由任何方法或技術來實現資訊儲存。資訊可以是電腦可讀指令、資料結構、程式的模組或其他資料。電腦的儲存介質的例子包括,但不限於相變記憶體(PRAM)、靜態隨機存取記憶體(SRAM)、動態隨機存取記憶體(DRAM)、其他類型的隨機存取記憶體(RAM)、唯讀記憶體(ROM)、電可擦除可程式設計唯讀記憶體(EEPROM)、快閃記憶體或其他記憶體技術、唯讀光碟唯讀記憶體(CD-ROM)、數位多功能光碟(DVD)或其他光學儲存、磁盒式磁帶,磁帶磁磁片儲存或其他磁性存放裝置或任何其他非傳輸介質,可用於儲存可以被計算設備訪問的資訊。按照本文中的界定,電腦可讀介質不包括暫存電腦可讀媒體(transitory media),如調製的資料訊號和載波。   還需要說明的是,術語“包括”、“包含”或者其任何其他變體意在涵蓋非排他性的包含,從而使得包括一系列要素的過程、方法、商品或者設備不僅包括那些要素,而且還包括沒有明確列出的其他要素,或者是還包括為這種過程、方法、商品或者設備所固有的要素。在沒有更多限制的情況下,由語句“包括一個……”限定的要素,並不排除在包括所述要素的過程、方法、商品或者設備中還存在另外的相同要素。   本說明書可以在由電腦執行的電腦可執行指令的一般上下文中描述,例如程式模組。一般地,程式模組包括執行特定任務或實現特定抽象資料類型的常式、程式、物件、元件、資料結構等等。也可以在分散式運算環境中實踐本說明書的一個或多個實施例,在這些分散式運算環境中,由通過通信網路而被連接的遠端處理設備來執行任務。在分散式運算環境中,程式模組可以位於包括存放裝置在內的本地和遠端電腦儲存介質中。   本說明書中的各個實施例均採用遞進的方式描述,各個實施例之間相同相似的部分互相參見即可,每個實施例重點說明的都是與其他實施例的不同之處。尤其,對於系統實施例而言,由於其基本相似於方法實施例,所以描述的比較簡單,相關之處參見方法實施例的部分說明即可。   上述對本說明書特定實施例進行了描述。其它實施例在所附申請專利範圍的範圍內。在一些情況下,在申請專利範圍中記載的動作或步驟可以按照不同於實施例中的順序來執行並且仍然可以實現期望的結果。另外,在附圖中描繪的過程不一定要求示出的特定順序或者連續順序才能實現期望的結果。在某些實施方式中,多工處理和並行處理也是可以的或者可能是有利的。   以上所述僅為本說明書的一個或多個實施例而已,並不用於限制本說明書。對於本領域技術人員來說,本說明書的一個或多個實施例可以有各種更改和變化。凡在本說明書的一個或多個實施例的精神和原理之內所作的任何修改、等同替換、改進等,均應包含在本說明書的申請專利範圍之內。In the prior art, users often need a fixed business processing method for business processing in some business scenarios. For example, when taking the subway, a user needs to use the NFC function of the terminal or a subway card containing an NFC chip to pay for the ride, but cannot pay for the ride through other methods. In other words, users can only provide their own payment information to the subway gates through the NFC function of the terminal or subway card, but cannot provide the payment information to the subway gates through other methods. Therefore, if the NFC function of the terminal or subway card held by the user fails, or the terminal does not have the NFC function, the fare cannot be paid, which greatly limits the way users can pay the fare. The user brings inconvenience in the process of paying the fare. To this end, this manual provides a payment method. The payment collection equipment of public transportation vehicles can monitor whether the image to be recognized has been collected when the service of collecting the ride fare is triggered. When it is determined that the image to be recognized is collected, The payment information of the user is obtained by analyzing the image to be recognized, and when it is determined that the image to be recognized is not collected, the payment information can be collected through a near-field non-contact collection method, and then the payment information can be The payment information obtained by the non-contact collection method is used for payment processing. Even if the payment collection equipment of public transportation cannot obtain the user's payment information by collecting the image to be recognized, it can also collect the user's payment information through the near-field non-contact collection method, and then through the collected Payment information collects the ride fare for the user. In other words, because payment information can be collected through multiple collection methods, even if the user can only provide the payment information through a single method, the payment collection device can also collect the payment information through multiple collection methods, so that it can be used The process of paying the fare by the user brings great convenience and brings great convenience to the public travel of the user. In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the following will combine the drawings in one or more embodiments of this specification to compare The technical solution is described clearly and completely. Obviously, the described embodiments are only a part of the embodiments in this specification, rather than all the embodiments. Based on the embodiments in this specification, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of this specification.   Figure 1 is a schematic diagram of the public transportation payment process provided in this manual, which specifically includes the following steps:    S100: When the payment collection device of the public transportation means detects that there is a target within a set distance, it triggers the service of collecting the fare.   In this manual, when the collection device of public transportation triggers the service of collecting the ride fare, it can monitor whether it has collected the image to be recognized. Among them, the payment collection equipment mentioned here may refer to terminal equipment used by public transportation such as subways and buses to collect user fares, such as subway turnstiles. A rangefinder can be set on the collection device. The rangefinder can continuously transmit signals (such as infrared rays, sound waves, etc.) around the collection device (or in a direction of the collection device). When an object is detected, the rangefinder can receive the corresponding reflection signal, and then monitor the existence of the target object. The collection device can further determine the distance between the target and the collection device based on the time difference between the transmitted signal and the received reflected signal. When the target is detected within the set distance, it can be determined that a user approaches the Collection equipment, and need to pay the ride fare, which triggers the business of collecting the ride fare. Among them, the setting distance mentioned here can be artificially set according to actual needs, and the target mentioned here can refer to the user.  Further, the collection device can continuously transmit signals outward through the rangefinder and return signals from the target object located within a set distance to determine whether the target object is gradually approaching the collection device. When it is detected that the time difference between the transmitted signal and the return signal returned via the target object is gradually shortening, it can be determined that the target object is gradually approaching the payment collection device, thereby triggering the service of collecting the ride fare.   S102: When the service of collecting the ride fare is triggered, the payment collection device of the public transportation means determines whether an image to be recognized is collected.   In this specification, when the payment collection device triggers the service of collecting the ride fare, the first collection module can be activated to determine whether to collect the image to be recognized through the first collection module. Among them, the image to be identified mentioned here may be a unique identification code (Digital Object Unique Identifier, DOI) of a data object such as a barcode and a two-dimensional code. When it is determined that the image to be recognized is collected, the user's payment information can be obtained from the image to be recognized by analyzing the image, and then in the subsequent process, the user's ride fare can be collected through the payment information. For example, suppose there is a camera that collects the QR code of the user's payment in the subway gate (ie, the payment device), and the user can call up his own payment QR code on the phone during the subway ride through the gate. The screen of the mobile phone is placed in front of the camera, so that the gate can use the camera to collect the payment QR code displayed by the user through the mobile phone. In this manual, the collection equipment of public transportation vehicles can collect images frame by frame through the first collection module when triggering the service of collecting ride fees, and analyze the collected images frame by frame to determine whether The image to be recognized is collected. When it is determined that the specified information is recognized from the captured image, it is determined that the image to be recognized is captured. For example, the payment collection device of a public transportation vehicle can perform image collection through a set camera. When a two-dimensional code is recognized from the collected image, it can be determined that the image to be recognized is collected.   S104: When it is determined that the image to be recognized is collected, analyze the image to be recognized to obtain the user's payment information. When it is determined that the image to be recognized is collected, the image to be recognized can be analyzed to obtain the user's payment information from the to-be-recognized image, and then in the subsequent process, through the obtained payment information, Perform payment processing.   In this manual, the image to be identified can be a unique image that is generated by the terminal based on the user's payment information and other information to identify the user, that is, the image can be uniquely fixed and will not change. Of course, the image to be recognized can also be an image generated offline by the terminal based on the user’s payment information, time information, and other information. Since the image to be recognized is generated based on the time information, each time the terminal displays The images to be recognized with user payment information are all different, which can improve the security of user information.   S106: When it is determined that the image to be recognized has not been collected, collect the payment information of the user through a near-field non-contact collection method. When the collection device determines that the image to be recognized has not been collected, it can switch to the second collection module corresponding to the near-field non-contact collection method to collect the user's payment information through the second collection module .   Wherein, when the collection device monitors that the image to be recognized is not collected after a set time has passed after the service of collecting the ride fare is triggered, it can be determined that the image to be recognized is not collected. At this time, you can switch to the second collection module corresponding to the near-field non-contact collection method to collect the user's payment information through another collection method. In this specification, the near-field non-contact collection method can be used to collect NFC signals. Accordingly, the second collection module corresponding to the near-field non-contact collection method can be an NFC signal collector. The signal collector can broadcast the NFC excitation signal to the surrounding terminals. After receiving the NFC excitation signal, the terminal’s NFC chip can broadcast the NFC signal carrying the user’s payment information, and the NFC signal collector can receive the terminal broadcast To extract the user’s payment information from the NFC signal.  S108: Perform payment processing based on payment information obtained through image analysis or near-field non-contact collection methods.   After collecting the payment information of the user, the payment collection equipment of public transportation can determine the cost of the user’s ride based on the payment information, and then deduct this part of the cost from the user’s account. For example, when the user leaves the station, if the subway gate successfully collects the user's payment information from the payment QR code displayed by the user through the mobile phone, the payment information can be sent to the server, and the server can follow The user identification contained in the payment information determines the stations that the user passes through when taking the subway, thereby determining the user’s subway fee, and then according to the cost and the account information contained in the payment information, the user is Deductions. For another example, when the user is leaving the station, if the subway gate successfully collects the user's payment information through the NFC signal collector, the payment information can be sent to the server to identify the user through the server The cost of the ride will be deducted for the user. It should be noted that when taking the subway, users need to go through two links: inbound and outbound. During the inbound link, the subway turnstile can analyze the image to be recognized (or it can be a near-field non-contact Collection method) to collect the user’s payment information, and send the payment information to the server as identification information, and the server can identify the user’s subway ride through the payment information and the gate that sent the payment information The starting station, and when the payment information is subsequently received again, can determine the stations that the user passes through when taking the subway, so as to determine the fare that the user needs to pay for taking the subway. In practical applications, when the second acquisition module is an NFC signal collector, the second acquisition module can be turned off or dormant first. At this time, the second acquisition module will not receive or send any signals. When the collection device does not collect the image to be recognized, the first collection module can be closed or hibernated, and the second collection module can be activated to collect the user's payment information through a near-field non-contact collection method . Continuing to use the above example, when the user is leaving the station, when the subway gate (ie, the payment device) determines that the image to be recognized has not been collected, it can switch to the near-field non-contact collection mode to pass the near-field non-contact The contact collection method collects the NFC signal broadcast by the user's mobile phone, and sends the user's payment information extracted from the NFC signal to the server. Based on the payment information and the subway gate that sent the payment information, the server can determine the stations through which the user takes the subway, thereby determining the fare that the user should pay for this ride, and then The fare is sent to the turnstile of the subway. The gate can send an NFC signal containing deduction data to the user based on the received fare, and the NFC chip in the user's mobile phone can update the user's account balance recorded in the NFC chip according to the NFC signal. It should be noted that in this manual, the collection device can only use one collection method to collect the user's payment information at the same time. For example, when the collection device is currently enabled, the first collection module collects the image to be identified The second collection module can be closed or hibernated when the image is displayed, and the first collection module can be closed or hibernated when the payment collection device currently uses the near-field non-contact collection method to collect user payment information. Among them, the purpose of the collection device enabling only one collection method at the same time is: if the collection device enables two (or more than two) collection methods at the same time, it may affect the user's payment processing process . For example, if two collection methods are activated at the gate of the subway at the same time, when the user places the QR code displayed on the mobile phone on the camera used to collect the image to be recognized, the second collection module may also The NFC signal that carries the user’s payment information broadcast by the mobile phone will be obtained. At this time, the user’s mobile phone may pop up a page for paying the fare by using the NFC function, and the page may allow the user to scan the code The page for paying the fare is overwritten, which brings trouble to the process of paying the fare by scanning the code. In this manual, after the payment information collected by the payment collection device through the near-field non-contact collection method collects the user's ride fare, the second collection module can be closed or hibernated, and the first collection module can be turned on , And then when the service of collecting the ride fare is triggered again, the image to be recognized is collected through the first collection module. It can be seen from the above method that even if the payment collection equipment of public transportation cannot obtain the user's payment information by collecting the image to be recognized, it can also collect the user's payment information through the near-field non-contact collection method. Payment information, and then collect the user's ride fare through the collected payment information. In other words, because payment information can be collected through multiple collection methods, even if the user can only provide the payment information through a single method, the payment collection device can also collect the payment information through multiple collection methods, so that it can be used The process of paying the fare by the user brings great convenience and brings great convenience to the public travel of the user.   In order to further describe the public transportation payment method provided in this specification, a detailed example will be used to illustrate the entire process involved in the public transportation payment method, as shown in Figure 2.   Figure 2 is a schematic diagram of the entire public transportation payment method provided in this manual.   When users take the subway, the subway turnstile can transmit signals to the surroundings through the set rangefinder to detect whether there is a target approaching the turnstile. When a user approaches the gate, the gate can determine that there is a user approaching the gate through the transmitted signal and the signal returned by the user, so as to determine the triggering of the service of collecting the fare. The user can call up the payment QR code containing the user’s payment information in the mobile phone he holds, and the user can display the payment QR code displayed in the mobile interface to the subway gate for scanning. , The turnstile of the subway is shown in Figure 3.   Figure 3 is a schematic diagram of the subway turnstile provided in this manual. The gates of the subway (that is, the above-mentioned payment equipment) are equipped with an image collector (such as the above-mentioned camera) that can collect payment QR codes. When the user sticks the screen of the mobile phone displaying the payment QR code on the screen When the image collector is used, the image collector will collect the payment QR code displayed on the mobile phone, so that the gate can recognize the payment QR code. When the gate successfully collects the user's payment information from the payment QR code, it can determine the fare that the user should pay for taking the subway based on the payment information, and perform corresponding deduction operations.   When the subway gate determines that the payment QR code has not been collected, the NFC signal collector set in the gate can be activated. Wherein, the NFC signal collector can usually be in a closed or dormant state, and when the gate fails to collect the payment QR code through the image collector, the gate can activate the NFC signal collector. The subway gate can obtain the NFC signal that contains the user's payment information broadcast by the terminal through the NFC signal collector, and extract the payment information from the NFC signal, and then the gate can, based on the payment information, Perform the corresponding deduction operation.   When the subway turnstile completes the deduction operation through the NFC signal collector, the NFC signal collector can be turned off or dormant, and then the payment information of subsequent users can be collected through the image collector. It should be noted that when entering the station, the user can show his payment QR code to the subway gate (the gate located in the station), and the gate can collect the user from the payment QR code And then send the payment information as identification information to the server, so that the server can identify the starting station of the user to take the subway through the payment information and the gate of the subway that sent the payment information. When leaving the station, the user can turn on the NFC module of the mobile phone, so that the subway gate (located at the outbound gate) can obtain the NFC signal broadcast by the user’s mobile phone, and then extract the NFC signal from the NFC signal Out the user’s payment information. The gate can send the extracted payment information to the server, so that the server determines the fare that the user needs to pay for riding the subway based on the payment information, and performs the corresponding deduction operation. In other words, when the user enters the station, the subway gate can collect the user's payment information through one collection method, and when the user exits the station, the subway gate can collect the user's payment through another collection method Information and implement deductions for users. In this manual, the payment collection equipment of public transportation vehicles can also switch to the second collection module when it is determined that the user’s payment information has not been successfully obtained from the image to be recognized, so as to use the near-field non-contact collection method Collect user payment information. Specifically, after determining that the image to be recognized is collected, the payment collection device of the public transportation vehicle may analyze the image to be recognized to obtain the user's payment information from the image to be recognized. When it is determined that the user's payment information is still not obtained from the image to be identified after the preset time has elapsed, the near-field non-contact collection method can be collected to collect the user's payment information.   In this manual, the collection device can also analyze the collected images to determine whether to trigger the service of collecting the ride fare. Specifically, when the image collected by the payment collection device does not match the collected environmental image, it can detect that there is a target within the set distance, and then trigger the service of collecting the ride fare.   For example, the camera set on the gate of the subway for collecting payment QR codes can be turned on at all times, and correspondingly, the gate can collect the environment image facing the camera through the camera. Since the gate is usually in a fixed position, the environmental image collected by the gate should also be fixed. Therefore, when the gate determines that the image collected by the camera does not match the previously collected environmental image, it can be determined that there is a target near the gate, and then the service of collecting the fare is triggered. In other words, when no user pays the fare through the payment collection device, the image collected by the payment collection device through the camera should always be a fixed image of the environment, and when the user approaches the payment collection device When the device is installed, the user's image collected by the payment device through the camera is significantly different from the previously collected environmental image, so it can detect that there is a target within the set distance, and then trigger the business of collecting ride fees .   The public transportation payment method provided in one or more embodiments of this specification above, based on the same idea, this specification also provides a corresponding public transportation payment device, as shown in Figure 4. Fig. 4 is a schematic diagram of a public transportation payment device provided in this specification, which specifically includes:    monitoring module 401, when the device detects that there is a target within a set distance, it triggers the service of collecting fares;    first collection module 402. When the service of collecting the ride fare is triggered, determine whether the image to be recognized is collected; when it is determined that the image to be recognized is collected, analyze the image to be recognized to obtain the payment of the user Information;    the second collection module 403, when it is determined that the image to be recognized is not collected, collect the user’s payment information through a near-field non-contact collection method;    processing module 404, according to the passed analytical graph Image or near-field non-contact collection of payment information obtained for payment processing.   The image to be identified includes: a unique identification code DOI for the digital object. "The first collection module 402, when it is detected that the image to be recognized is not collected for a set time after the service of collecting the ride fare is triggered, it is determined that the image to be recognized is not collected.   The second collection module 403 collects NFC signals for near-field wireless communication, and extracts the user's payment information from the NFC signals. The device further includes: a    control module 405, when it is determined that the first collection module 402 has not collected the image to be recognized, the first collection module 402 is turned off, and the second collection module is turned on 403; when it is determined that the second collection module 403 collects the user's payment information through the near-field non-contact collection method, close the second collection module 403, and turn on the first collection module 402.   Based on the public transportation payment method described above, this manual also provides a corresponding public transportation payment device, as shown in Figure 5. The public transportation payment device includes one or more processors and memory, the memory stores programs, and is configured to execute the following steps by the one or more processors:    When the device detects a set distance When there is a target, trigger the service of collecting the ride fee;   When the service of collecting the ride fee is triggered, the device judges whether the image to be recognized is collected;   When it is determined that the image to be recognized is collected, Analyze the image to be recognized to obtain the payment information of the user;    When it is determined that the image to be recognized is not collected, collect the payment information of the user through a near-field non-contact collection method;   The payment information obtained by image or near-field non-contact collection methods is processed for payment. In one or more embodiments of this specification, the payment collection device of the public transportation means can monitor whether the image to be recognized is collected when the service of collecting the ride fare is triggered. When it is determined that the image to be recognized is collected, The payment information of the user is obtained by analyzing the image to be recognized, and when it is determined that the image to be recognized is not collected, the payment information can be collected through a near-field non-contact collection method, and then the payment information can be The payment information obtained by the non-contact collection method is used for payment processing. Even if the payment collection equipment of public transportation cannot obtain the user's payment information by collecting the image to be recognized, it can also collect the user's payment information through the near-field non-contact collection method, and then through the collected Payment information collects the ride fare for the user. In other words, because payment information can be collected through multiple collection methods, even if the user can only provide the payment information through a single method, the payment collection device can also collect the payment information through multiple collection methods, so that it can be used The process of paying the fare by the user brings great convenience and brings great convenience to the public travel of the user. In the 1990s, the improvement of a technology can be clearly distinguished between hardware improvements (for example, improvements to the circuit structure of diodes, transistors, switches, etc.) or software improvements (for method flow Improve). However, with the development of technology, the improvement of many methods and processes of today can be regarded as a direct improvement of the hardware circuit structure. Designers almost always get the corresponding hardware circuit structure by programming the improved method flow into the hardware circuit. Therefore, it cannot be said that the improvement of a method flow cannot be realized by the hardware entity module. For example, Programmable Logic Device (PLD) (such as Field Programmable Gate Array (FPGA)) is such an integrated circuit whose logic function is determined by the user’s programming of the device . It is designed by the designer to "integrate" a digital system on a PLD without having to ask the chip manufacturer to design and manufacture a dedicated integrated circuit chip. Moreover, nowadays, instead of manually making integrated circuit chips, this kind of programming is mostly realized by using "logic compiler" software, which is similar to the software compiler used in program development and writing. The original code before compilation must also be written in a specific programming language, which is called the Hardware Description Language (HDL), and there is not only one HDL, but many, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), Confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), Lava, Lola, MyHDL, PALASM, RHDL (Ruby Hardware Description Language), etc., Currently the most commonly used are VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog. It should also be clear to those skilled in the art that only a little logic programming of the method flow using the above hardware description languages and programming into an integrated circuit can easily obtain a hardware circuit that implements the logic method flow. The controller can be implemented in any suitable manner. For example, the controller can take the form of a microprocessor or a processor and a computer readable medium storing computer readable program codes (such as software or firmware) executable by the (micro) processor. , Logic gates, switches, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable logic controllers and embedded microcontrollers. Examples of controllers include but are not limited to the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20 and Silicon Labs C8051F320, the memory controller can also be implemented as part of the memory control logic. Those skilled in the art also know that, in addition to implementing the controller in a purely computer-readable manner, it is entirely possible to design the method steps by logic programming to enable the controller to be controlled by logic gates, switches, dedicated integrated circuits, and programmable logic. The same function can be realized in the form of a device and embedded microcontroller. Therefore, such a controller can be regarded as a hardware component, and the devices included in it for realizing various functions can also be regarded as a structure within the hardware component. Or even, the device for realizing various functions can be regarded as both a software module for realizing the method and a structure in a hardware component.   The system, device, module or unit explained in the above embodiments can be implemented by a computer chip or entity, or by a product with a certain function. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cell phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, and a wearable device. Or any combination of these devices.   For the convenience of description, when describing the above device, the functions are divided into various units and described separately. Of course, when implementing this specification, the functions of each unit may be implemented in the same or multiple software and/or hardware.   Those skilled in the art should understand that the embodiments of this specification can be provided as methods, systems, or computer program products. Therefore, this specification may adopt the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware. Moreover, this manual can be in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) containing computer-usable program codes. .  This specification is described with reference to flowcharts and/or block diagrams of methods, equipment (systems), and computer program products according to one or more embodiments of this specification. It should be understood that each process and/or block in the flowchart and/or block diagram, and the combination of processes and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, dedicated computers, embedded processors, or other programmable data processing equipment to generate a machine that can be executed by the processor of the computer or other programmable data processing equipment A device for realizing the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram is generated. These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing equipment to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including the instruction device , The instruction device realizes the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram. These computer program instructions can also be loaded on a computer or other programmable data processing equipment, so that a series of operation steps are executed on the computer or other programmable equipment to generate computer-implemented processing, so that the computer or other programmable equipment The instructions executed above provide steps for implementing functions specified in a flow or multiple flows in the flowchart and/or a block or multiple blocks in the block diagram.   In a typical configuration, the computing device includes one or more processors (CPU), input/output interfaces, network interfaces, and memory. Memory may include non-permanent memory in computer-readable media, random access memory (RAM) and/or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.  Computer-readable media includes permanent and non-permanent, removable and non-removable media, and information storage can be realized by any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), and other types of random access memory (RAM) , Read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only CD-ROM (CD-ROM), digital multi-function Optical discs (DVD) or other optical storage, magnetic cassettes, magnetic tape storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by computing devices. According to the definition in this article, computer-readable media does not include transitory media, such as modulated data signals and carrier waves. It should also be noted that the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, product or equipment including a series of elements not only includes those elements, but also includes Other elements that are not explicitly listed, or include elements inherent to this process, method, commodity, or equipment. If there are no more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other identical elements in the process, method, commodity, or equipment that includes the element.   This manual can be described in the general context of computer-executable instructions executed by a computer, such as a program module. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. One or more embodiments of this specification can also be practiced in a distributed computing environment. In these distributed computing environments, tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.   Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the difference from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the part of the description of the method embodiment.   The above describes specific embodiments of this specification. Other embodiments are within the scope of the attached patent application. In some cases, the actions or steps described in the scope of the patent application may be performed in a different order from the embodiment and still achieve desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown to achieve the desired result. In some embodiments, multiplexing and parallel processing are also possible or may be advantageous.   The above description is only one or more embodiments of this specification, and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of patent application in this specification.

401‧‧‧監測模組402‧‧‧第一採集模組403‧‧‧第二採集模組404‧‧‧處理模組405‧‧‧控制模組401‧‧‧Monitoring module 402‧‧‧First collection module 403‧‧‧Second collection module 404‧‧‧Processing module 405‧‧‧Control module

此處所說明的附圖用來提供對本說明書的進一步理解,構成本說明書的一部分,本說明書的示意性實施例及其說明用於解釋本說明書,並不構成對本說明書的不當限定。在附圖中:   圖1為本說明書提供的公共交通支付過程的示意圖;   圖2為本說明書提供的整個公共交通支付方法的過程示意圖;   圖3為本說明書提供的地鐵的閘機的示意圖;   圖4為本說明書提供的一種公共交通支付的裝置示意圖;   圖5為本說明書提供的一種公共交通支付的設備示意圖。The drawings described here are used to provide a further understanding of the specification and constitute a part of the specification. The exemplary embodiments and descriptions of the specification are used to explain the specification, and do not constitute an improper limitation of the specification. In the drawings:   Figure 1 is a schematic diagram of the public transportation payment process provided in this manual;   Figure 2 is a schematic diagram of the entire public transportation payment method provided in this manual;   Figure 3 is a schematic diagram of the subway gate provided in this manual;   Figure 4 A schematic diagram of a public transportation payment device provided in this manual;    Figure 5 is a schematic diagram of a public transportation payment device provided in this manual.

Claims (11)

一種公共交通支付的方法,包括:當公共交通工具的收款設備監測到設定距離內存在目標物時,觸發收取乘車費的業務;當觸發所述收取乘車費的業務時,開啟用於採集的待識別圖像第一採集模組,所述公共交通工具的收款設備判斷是否採集到所述待識別圖像;當確定採集到所述待識別圖像時,則解析所述待識別圖像獲取使用者的支付資訊;當確定未採集到所述待識別圖像時,關閉所述第一採集模組,開啟第二採集模組以通過近場非接觸式的採集方式採集所述使用者的支付資訊;根據通過解析圖像或近場非接觸式的採集方式獲得的支付資訊進行支付處理;其中所述第一採集模組與所述第二採集模組不會在同一時間開啟。 A public transportation payment method includes: triggering a service for collecting a ride fee when the payment collection device of a public transportation means detects that there is a target within a set distance; when the service for collecting a ride fee is triggered, opening the service The first collection module of the collected image to be recognized, the payment device of the public transportation means determines whether the image to be recognized is collected; when it is determined that the image to be recognized is collected, the to-be recognized image is analyzed The image acquires the user’s payment information; when it is determined that the image to be recognized has not been collected, the first acquisition module is turned off, and the second acquisition module is turned on to collect the near-field non-contact acquisition method. The user’s payment information; payment processing is performed based on the payment information obtained by analyzing images or near-field non-contact collection methods; wherein the first collection module and the second collection module will not be opened at the same time . 如申請專利範圍第1項所述的方法,所述待識別圖像包括:數位物件唯一識別碼DOI。 For the method described in item 1 of the scope of the patent application, the image to be identified includes: a unique identification code of a digital object DOI. 如申請專利範圍第1項所述的方法,確定未採集到所述待識別圖像,具體包括:當監測到在觸發所述收取乘車費的業務後經過設定時 間未採集到所述待識別圖像,則確定未採集到所述待識別圖像。 For the method described in item 1 of the scope of patent application, determining that the image to be recognized has not been collected includes: when it is detected that the setting is set after triggering the service of collecting the ride fee If the image to be recognized is not collected in the meantime, it is determined that the image to be recognized is not collected. 如申請專利範圍第1項所述的方法,通過近場非接觸式的採集方式採集所述使用者的支付資訊,具體包括:採集近場無線通訊NFC訊號;從所述NFC訊號中提取所述使用者的支付資訊。 According to the method described in item 1 of the scope of patent application, collecting the payment information of the user through a near-field non-contact collection method includes: collecting a near-field wireless communication NFC signal; extracting the said NFC signal User's payment information. 如申請專利範圍第1項所述的方法,通過所述近場非接觸式的採集方式採集到使用者的支付資訊後,所述方法還包括:關閉所述第二採集模組,開啟所述第一採集模組。 As the method described in item 1 of the scope of patent application, after collecting the user's payment information through the near-field non-contact collection method, the method further includes: closing the second collection module, and opening the The first collection module. 一種公共交通支付的裝置,包括:監測模組,當所述裝置監測到設定距離內存在目標物時,觸發收取乘車費的業務;第一採集模組,當觸發所述收取乘車費的業務時開啟所述第一採集模組,判斷是否採集到待識別圖像;當確定採集到所述待識別圖像時,則解析所述所述待識別圖像獲取使用者的支付資訊;第二採集模組,當確定未採集到所述待識別圖像時,則通過近場非接觸式的採集方式採集所述使用者的支付資訊;處理模組,根據通過解析圖像或近場非接觸式的採集 方式獲得的支付資訊進行支付處理;控制模組,當確定所述第一採集模組未採集到所述待識別圖像時,關閉所述第一採集模組,開啟所述第二採集模組;其中所述第一採集模組與所述第二採集模組不會在同一時間開啟。 A public transportation payment device, including: a monitoring module, when the device detects that there is a target within a set distance, triggers the service of collecting a ride fare; Turn on the first collection module during business to determine whether the image to be recognized is collected; when it is determined that the image to be recognized is collected, analyze the image to be recognized to obtain the user's payment information; The second collection module, when it is determined that the image to be recognized is not collected, collects the payment information of the user through a near-field non-contact collection method; Contact collection The payment information obtained by the method is used for payment processing; the control module, when it is determined that the first collection module has not collected the image to be recognized, turns off the first collection module and turns on the second collection module ; Wherein the first collection module and the second collection module will not be turned on at the same time. 如申請專利範圍第6項所述的裝置,所述待識別圖像包括:數位物件唯一識別碼DOI。 For the device described in item 6 of the scope of patent application, the image to be identified includes: a unique identification code of a digital object DOI. 如申請專利範圍第6項所述的裝置,所述第一採集模組,當監測到在觸發所述收取乘車費的業務後經過設定時間未採集到所述待識別圖像,則確定未採集到所述待識別圖像。 For the device described in item 6 of the scope of patent application, the first collection module determines that the image to be recognized is not collected after a set time has elapsed after triggering the service of collecting the ride fee. The image to be recognized is collected. 如申請專利範圍第6項所述的裝置,所述第二採集模組,採集近場無線通訊NFC訊號,從所述NFC訊號中提取所述使用者的支付資訊。 For the device described in item 6 of the scope of patent application, the second collection module collects a near-field wireless communication NFC signal, and extracts the user's payment information from the NFC signal. 如申請專利範圍第6項所述的裝置,當觸發所述收取乘車費的業務時,所述第一採集模組處於開啟狀態;當確定所述第二採集模組通過所述近場非接觸式的採集方式採集到使用者的支付資訊後,關閉所述第二採集模組,開啟所述第一採集模組。 For the device described in item 6 of the scope of patent application, when the service of collecting the ride fare is triggered, the first collection module is in the on state; when it is determined that the second collection module passes through the near-field non After the user's payment information is collected by the contact collection method, the second collection module is closed and the first collection module is opened. 一種公共交通支付的設備,包括:一個或多個記憶體以及處理器,所述記憶體儲存程式,並且被配置成由所述一個或多個處理器執行以下步驟:當所述設備監測到設定距離內存在目標物時,觸發收取乘車費的業務;當觸發所述收取乘車費的業務時,開啟用於採集的待識別圖像第一採集模組,所述設備判斷是否採集到所述待識別圖像;當確定採集到所述待識別圖像時,則解析所述待識別圖像獲取使用者的支付資訊;當確定未採集到所述待識別圖像時,關閉所述第一採集模組,開啟第二採集模組以通過近場非接觸式的採集方式採集所述使用者的支付資訊;根據通過解析圖像或近場非接觸式的採集方式獲得的支付資訊進行支付處理;其中所述第一採集模組與所述第二採集模組不會在同一時間開啟。 A public transportation payment device includes: one or more memories and a processor, the memory stores a program, and is configured to execute the following steps by the one or more processors: when the device detects a setting When there is a target within the distance, the service of collecting the fare is triggered; when the service of collecting the fare is triggered, the first collecting module for collecting the image to be recognized is turned on, and the device judges whether all the collected images are collected. The image to be recognized; when it is determined that the image to be recognized is collected, the image to be recognized is analyzed to obtain the user's payment information; when it is determined that the image to be recognized is not collected, the first A collection module, the second collection module is turned on to collect the payment information of the user through a near-field non-contact collection method; payment is made based on the payment information obtained through image analysis or near-field non-contact collection method Processing; wherein the first collection module and the second collection module will not be turned on at the same time.
TW107130833A 2017-11-03 2018-09-03 Method, device and equipment for public transportation payment TWI713891B (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
??201711071003.4 2017-11-03
CN201711071003.4 2017-11-03
CN201711071003.4A CN107895267A (en) 2017-11-03 2017-11-03 The method, apparatus and equipment that a kind of public transport is paid

Publications (2)

Publication Number Publication Date
TW201918952A TW201918952A (en) 2019-05-16
TWI713891B true TWI713891B (en) 2020-12-21

Family

ID=61804053

Family Applications (1)

Application Number Title Priority Date Filing Date
TW107130833A TWI713891B (en) 2017-11-03 2018-09-03 Method, device and equipment for public transportation payment

Country Status (3)

Country Link
CN (1) CN107895267A (en)
TW (1) TWI713891B (en)
WO (1) WO2019085587A1 (en)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107895267A (en) * 2017-11-03 2018-04-10 阿里巴巴集团控股有限公司 The method, apparatus and equipment that a kind of public transport is paid
CN109002958A (en) * 2018-06-06 2018-12-14 阿里巴巴集团控股有限公司 A kind of method of risk identification, system, device and equipment
CN108846663B (en) * 2018-06-21 2020-10-30 维沃移动通信有限公司 Two-dimensional code adjusting method and device and mobile terminal
CN109426746A (en) * 2018-08-03 2019-03-05 中国银联股份有限公司 Barcode scanning gun apparatus and the non-method for handover control for receiving reason and barcode scanning and reading
CN111160918A (en) * 2019-12-19 2020-05-15 中国建设银行股份有限公司 Travel payment method and device
CN112001719A (en) * 2020-08-18 2020-11-27 中国建设银行股份有限公司 Transaction control method, device, self-service banking machine and readable storage medium
CN113053041A (en) * 2021-03-18 2021-06-29 中国工商银行股份有限公司 Method, device and system for identifying business process
CN113240428B (en) * 2021-05-27 2023-09-08 支付宝(杭州)信息技术有限公司 Payment processing method and device

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201965675U (en) * 2011-01-11 2011-09-07 武汉大学 Subway payment system without staying
US20130124319A1 (en) * 2008-09-30 2013-05-16 Apple Inc. Payment options based on location
CN105719133A (en) * 2016-01-25 2016-06-29 张福生 Multifunctional vehicle-mounted POS terminal system and self-adaptive work method thereof
CN105926486A (en) * 2016-04-15 2016-09-07 广东工业大学 Subway gate device supporting payment by scanning code
TWI554048B (en) * 2013-08-08 2016-10-11 蘋果公司 Management of near field communications using low power modes of an electronic device
CN106548443A (en) * 2017-01-09 2017-03-29 区绮云 A kind of new vehicles self-help ticket-buying ticket checking software

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103198564B (en) * 2013-03-12 2015-11-04 东莞宇龙通信科技有限公司 Public transportation system and public transport charging method
US20160240016A1 (en) * 2015-02-17 2016-08-18 Marc M. Ranpour Method of Managing Usage Fares for a Transportation System
CN204595993U (en) * 2015-04-30 2015-08-26 东莞市松山湖信息网络有限公司 A kind of Multifunctional bus electronic payment terminal
CN106447328A (en) * 2016-10-20 2017-02-22 严珂 Electronic payment method, bus electronic payment system, and metro electronic payment system
CN206292912U (en) * 2016-12-28 2017-06-30 谢忠 Public transport charging device
CN107895267A (en) * 2017-11-03 2018-04-10 阿里巴巴集团控股有限公司 The method, apparatus and equipment that a kind of public transport is paid

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130124319A1 (en) * 2008-09-30 2013-05-16 Apple Inc. Payment options based on location
CN201965675U (en) * 2011-01-11 2011-09-07 武汉大学 Subway payment system without staying
TWI554048B (en) * 2013-08-08 2016-10-11 蘋果公司 Management of near field communications using low power modes of an electronic device
CN105719133A (en) * 2016-01-25 2016-06-29 张福生 Multifunctional vehicle-mounted POS terminal system and self-adaptive work method thereof
CN105926486A (en) * 2016-04-15 2016-09-07 广东工业大学 Subway gate device supporting payment by scanning code
CN106548443A (en) * 2017-01-09 2017-03-29 区绮云 A kind of new vehicles self-help ticket-buying ticket checking software

Also Published As

Publication number Publication date
TW201918952A (en) 2019-05-16
CN107895267A (en) 2018-04-10
WO2019085587A1 (en) 2019-05-09

Similar Documents

Publication Publication Date Title
TWI713891B (en) Method, device and equipment for public transportation payment
TWI688910B (en) Payment device for public transportation
TWI698764B (en) Identity verification method, system, device and equipment, server and acquisition equipment
TWI715829B (en) Settlement method, entrance control method and device
WO2022012173A1 (en) Emulated card switching method, terminal device, and storage medium
TW202121287A (en) Payment system, payment method, server equipment, medium and device
US20190172296A1 (en) Self-service payment device and control method thereof
US20140081849A1 (en) Systems and methods for providing near field communications
CN111738736A (en) Method and system for data feedback
CN112396709A (en) Terminal interaction method and device based on ultra-wideband communication, medium and electronic equipment
WO2021103709A1 (en) Vehicle usage payment method, device, and system, and electronic apparatus
CN115641518A (en) View sensing network model for unmanned aerial vehicle and target detection method
Al-Ghawi et al. Automatic toll e-ticketing system for transportation systems
CN111553753B (en) Passenger flow statistical method and device and electronic equipment
CN107481453B (en) Settlement method and device
CN112232804A (en) Code scanning payment method and device and electronic equipment
US10319164B1 (en) Transit gateline incorporating display-integrated barriers
CN110488322A (en) A kind of parking lot entrance recognition methods and device
CN113269106A (en) Method and device for detecting state of conveyor belt of conveying tool
CN114979047B (en) Instant messaging method, device and equipment
CN118247886A (en) Control method and device for intelligent container and intelligent container
CN111292015A (en) Statistical method and device for collection data
CN116469141A (en) User identification and service processing method, device, equipment and medium