WO2015101314A1 - 导购机器人系统及该导购机器人顾客识别通知方法 - Google Patents

导购机器人系统及该导购机器人顾客识别通知方法 Download PDF

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Publication number
WO2015101314A1
WO2015101314A1 PCT/CN2014/095795 CN2014095795W WO2015101314A1 WO 2015101314 A1 WO2015101314 A1 WO 2015101314A1 CN 2014095795 W CN2014095795 W CN 2014095795W WO 2015101314 A1 WO2015101314 A1 WO 2015101314A1
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Prior art keywords
shopping guide
guide robot
customer
signal
service terminal
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PCT/CN2014/095795
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English (en)
French (fr)
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汤进举
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科沃斯机器人有限公司
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Priority to US15/109,629 priority Critical patent/US10304105B2/en
Publication of WO2015101314A1 publication Critical patent/WO2015101314A1/zh

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    • 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
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0613—Third-party assisted
    • G06Q30/0619—Neutral agent
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/048—Monitoring; Safety
    • 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
    • G06Q30/00—Commerce
    • G06Q30/01—Customer relationship services
    • G06Q30/015—Providing customer assistance, e.g. assisting a customer within a business location or via helpdesk
    • G06Q30/016—After-sales
    • 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
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0639—Item locations
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/40—Robotics, robotics mapping to robotics vision
    • G05B2219/40243—Global positioning robot

Definitions

  • the invention relates to a shopping guide robot system and a customer identification notification method of the shopping guide robot, and belongs to the technical field of daily electric appliance manufacturing.
  • shopping guide robots are often used in shopping malls, supermarkets, etc. to provide customers with product consultation, target product indications and other functions.
  • the shopping guide robot has a camera and transmits the captured image to the background (background service terminal) display, and the background service personnel monitors the screen to determine whether there is a customer.
  • This allows the back office staff to keep an eye on the back-end display, damaging the staff's vision and inefficiency.
  • the back-office staff needs to monitor multiple shopping guide robots at the same time, that is, to see if there are customers coming. If the staff can't monitor the customers in time, it will reduce the customer's service satisfaction. .
  • the technical problem to be solved by the present invention is to provide a shopping guide robot system and a customer detection method for the shopping guide robot for the deficiencies of the prior art.
  • the customer prompting system the background personnel do not need to peg the monitoring screen from time to time to see if there is a customer who needs service. Will automatically prompt if there is a customer to enter or need help, reducing the intensity of work.
  • a shopping guide robot system comprising: a shopping guide robot and a background service terminal, the shopping guide robot body is provided with a control unit, a mobile unit, a communication module and an image capturing unit for acquiring images, and the control unit is provided with a customer identification module, the customer The identification module is configured to identify a face in the image, and determine that the face is a customer, and then send a first signal, the control unit receives the first signal, and sends a second signal to the background service terminal by using the communication module, the background service terminal The second signal is received and a reminder signal is issued.
  • the detected face is determined to be a customer, and the first signal is sent to the control unit.
  • the shopping guide robot After the background service terminal sends a reminder signal, the shopping guide robot automatically connects with the background service terminal to establish a communication channel between the worker and the customer.
  • the staff controls the shopping guide robot to move to the area where the goods are located according to the customer's product demand, and indicates the merchant The location of the product.
  • the shopping robot body further includes a human-machine interaction unit.
  • the control unit sends a signal to the background service terminal by using the communication module, and the background service terminal receives the signal. Sending a reminder signal; the human-computer interaction unit adopts a touch panel or a call button.
  • the shopping guide robot communicates with the background service terminal via a wired or wireless network.
  • the invention also provides a shopping guide robot customer identification notification method, wherein the shopping guide robot is provided with a control unit, a communication module, a camera unit and a customer identification module, and includes the following steps:
  • S1 the camera unit collects an image, and transmits the face image to the face recognition module
  • S2 the customer identification module determines whether the face in the image is a customer, and if so, sends a first signal to the control unit, the control unit receives the first signal and sends the second signal to the background service terminal through the communication module; If not, return to S1;
  • the following includes:
  • the shopping guide robot After the background client receives the second signal and sends a reminder signal, the shopping guide robot automatically connects with the background service terminal to establish a communication channel between the worker and the customer.
  • the method further comprises:
  • the staff operates the background client to control the mobile unit to move the shopping guide robot through the control unit, and according to the customer's product demand, control the shopping guide robot to move to the area where the product is located, and indicate the position of the product.
  • the customer identification module determines whether the face in the image is the customer's specific content: when the number of times the front face is detected within the preset time reaches a threshold, the detected face is determined to be the customer.
  • FIG. 1 is a control block diagram of a shopping guide robot system according to an embodiment of the present invention.
  • FIG. 2 is a logic diagram of steps of a method for detecting a customer of a shopping guide robot according to an embodiment of the present invention
  • FIG. 3 is a control block diagram of a shopping guide robot system according to Embodiment 2 of the present invention.
  • FIG. 4 is a logic diagram of steps of a method for detecting a customer of a shopping guide robot according to a second embodiment of the present invention.
  • FIG. 1 is a control block diagram of a shopping guide robot system according to an embodiment of the present invention.
  • the present embodiment provides a shopping guide robot and a background service terminal 4, and the shopping guide robot body is provided with a control unit 1, a mobile unit 2, and an image for collecting images.
  • the camera unit 3 wherein in order to identify the customer better and faster, the control unit 1 is further provided with a customer identification module 12 for recognizing a face in the image, and judging the face during the recognition process
  • the control unit 1 sends a first signal, and after receiving the first signal, the control unit 1 sends a second signal to the background service terminal 4 through the communication module 11, and the background service terminal 4
  • the background staff After receiving the second signal and sending a reminder signal, the background staff knows that there is a customer to visit and provide services to the customer in time.
  • the control unit 1 is provided with a communication unit 11, and the communication unit 11 can also be disposed outside the control unit 1. Those skilled in the art can set the position of the communication unit 11 as needed.
  • the customer identification module 12 can employ various mature algorithms to identify faces in the image, such as the Adaboost algorithm (Adaboost is an iterative algorithm whose core idea is to train different classifiers (weak classifiers) for the same training set, and then These weak classifiers are grouped together to form a stronger final classifier (strong classifier), a template matching model, and a singular value feature based method.
  • Adaboost is an iterative algorithm whose core idea is to train different classifiers (weak classifiers) for the same training set, and then These weak classifiers are grouped together to form a stronger final classifier (strong classifier), a template matching model, and a singular value feature based method.
  • the customer identification module 12 detects the number of positive faces up to 10 times within 300ms-1000ms, the face is considered to be a customer.
  • the customer identification module 12 can also perform image comparison. If the front face is found to be gradually larger in the image (ie, the customer approaches the camera), the face is also determined to be the customer.
  • the background service terminal 4 issues a reminder signal, and the shopping guide robot automatically interfaces with the background service terminal 4 to establish a communication channel between the staff and the customer, facilitating communication between the staff and the customer.
  • the communication channel can be an interface display channel of the background service terminal and the shopping guide robot, or a voice communication channel.
  • the staff can also control the shopping guide robot to move to the area where the product is located according to the customer's product demand, and indicate the location of the product. In this embodiment, the movement of the shopping guide robot is facilitated, and the shopping guide robot communicates with the background service terminal 4 through a wired or wireless network.
  • FIG. 2 is a logic diagram of the steps of the customer detection method of the shopping guide robot according to the embodiment of the present invention.
  • the shopping guide robot in the embodiment is provided with a control unit 1, a communication module 11, an imaging unit 3, and a customer identification module 12.
  • the customer detection method includes the following steps:
  • the camera unit 3 collects a face image, and transmits the face image to the face recognition module 12;
  • the face recognition module 12 determines, according to the face image, whether it is a customer in need of assistance, and if so, sends a first signal to the control unit 1, the control unit 1 receives the first signal and passes the communication module 11 to the second The signal is sent to the background client 4, and if not, the process returns to S1; wherein the customer identification module 12 determines whether the face in the image is the customer's specific content: when the number of positive faces detected within the preset time reaches a threshold, then Determining the detected face as a customer;
  • the background service terminal 4 sends a reminder signal after receiving the second signal.
  • the shopping guide robot After the background client 4 receives the second signal and sends a reminder signal, the shopping guide robot automatically connects with the background service terminal 4 to establish a communication channel between the worker and the customer;
  • the staff operates the background client 4 to control the mobile unit 2 to drive the shopping guide robot to move through the control unit 1, and control the shopping guide robot to move to the area where the product is located according to the customer's product demand, and indicate the position of the product.
  • the shopping guide robot in this embodiment has basically the same structure as the shopping guide robot system in the first embodiment, except that the shopping guide robot body is There is also a human-machine interaction unit 5, which is a touch panel or a call button. If the call button is used, when the customer calls the call button, the control unit 1 sends a signal to the background service terminal 4 through the communication module 11, and after the background service terminal 4 receives the signal and sends a reminder signal, the shopping guide robot and the background service terminal 4 automatic docking, establishing communication channels between staff and customers, facilitating communication between staff and customers.
  • a human-machine interaction unit 5 is a touch panel or a call button.
  • the communication channel can be an interface display channel of the background service terminal and the shopping guide robot, or a voice communication channel.
  • the staff controls the shopping guide robot to move to the area where the product is located according to the customer's product demand, and indicates the location of the product.
  • the customer can directly call the background client by not capturing the image through the camera unit 3 but directly pressing the call button.
  • FIG. 4 is a logic diagram of the steps of the customer detection method of the shopping guide robot according to the second embodiment of the present invention.
  • the shopping guide robot in this embodiment is provided with a communication module 11 and a call button, and the customer detection method includes the following steps:
  • the staff operates the background client 4 to control the mobile unit 2 to move the shopping guide robot through the control unit 1, and controls the shopping guide robot to move to the area where the product is located according to the customer's product demand, and indicates the position of the product.

Abstract

一种导购机器人系统及该导购机器人顾客识别通知方法，其系统包括：导购机器人和后台服务终端（4），导购机器人机体设有控制单元（1）、移动单元（2）、通讯模块（11）和用于采集图像的摄像单元（3），所述控制单元（1）设有顾客识别模块（12），所述顾客识别模块（12）用于识别图像中的人脸，并判断人脸为顾客后发送第一信号，控制单元（1）接收第一信号，并通过所述通讯模块（11）发送第二信号到后台服务终端（4），所述后台服务终端（4）接收到第二信号并发出提醒信号。本导购机器人系统及该导购机器人顾客识别通知方法，通过顾客提示系统，后台人员无需时时盯住监控画面查看是否有顾客需要服务，后台会自动提示是否有顾客进入或需要帮助，减轻了工作强度。

Description

导购机器人系统及该导购机器人顾客识别通知方法 技术领域
本发明涉及一种导购机器人系统及该导购机器人顾客识别通知方法，属于日用电器制造技术领域。
背景技术
导购机器人多用于商场，超市等场合为顾客提供商品咨询、目标商品指示等功能。通常情况下，导购机器人设有摄像头并将拍摄到的画面传递到后台(后台服务终端)显示屏上，后台服务人员监控画面来判断是否有顾客光临。这使得后台工作人员需一直盯着后台的显示屏，损害工作人员的视力，且效率低下。特别的，当导购机器人有多台的情况下，后台工作人员需要同时监控多台导购机器人，即查看是否有顾客光临，如果工作人员不能及时监控到顾客是否光临，则会降低顾客的服务满意度。
发明内容
本发明所要解决的技术问题在于，针对现有技术的不足提供一种导购机器人系统及该导购机器人顾客检测方法，通过顾客提示系统，后台人员无需时时盯住监控画面查看是否有顾客需要服务，后台会自动提示是否有顾客进入或需要帮助，减轻了工作强度。
本发明所要解决的技术问题是通过如下技术方案实现的：
一种导购机器人系统，包括：导购机器人和后台服务终端，导购机器人机体设有控制单元、移动单元、通讯模块和用于采集图像的摄像单元，所述控制单元设有顾客识别模块，所述顾客识别模块用于识别图像中的人脸，并判断人脸为顾客后发送第一信号，控制单元接收第一信号，并通过所述通讯模块发送第二信号到后台服务终端，所述后台服务终端接收到第二信号并发出提醒信号。
为了更好的识别顾客，所述顾客识别模块在预设时间内检测到正面人脸的次数达到阈值时，判断检测到的人脸为顾客，并发送第一信号到控制单元。
所述后台服务终端发出提醒信号后，导购机器人与后台服务终端间自动对接，建立工作人员与顾客的通讯通道。
工作人员根据顾客的商品需求，控制导购机器人移动到商品所在区域，并指示商 品的位置。
本发明另一实施例，所述导购机器人机体还设有人机交互单元，人机交互单元被触发时，控制单元通过所述通讯模块发送信号到后台服务终端，所述后台服务终端接收到信号后发出提醒信号；所述人机交互单元采用触控面板或呼叫按钮。
更好地，所述导购机器人通过有线或无线网络与后台服务终端进行通讯。
本发明还提供一种导购机器人顾客识别通知方法，所述导购机器人设有控制单元、通讯模块、摄像单元和顾客识别模块，包括如下步骤：
S1：摄像单元采集图像，并将人脸图像传递给人脸识别模块；
S2：所述顾客识别模块判断图像中的人脸是否为顾客，若是，则向控制单元发送第一信号，控制单元接收第一信号并通过所述通讯模块将第二信号发送到后台服务终端；若否，则返回S1；
S3：所述后台服务终端接收第二信号后发出提醒信号；
为了方便顾客和工作人员的交流或交互，在所述S3之后还包括：
S31：所述后台客户端接收第二信号后发出提醒信号后，导购机器人与后台服务终端间自动对接，建立工作人员与顾客的通讯通道。
更好地，在所述S3之后还包括：
S4：工作人员操作所述后台客户端通过所述控制单元控制移动单元带动导购机器人移动，根据顾客的商品需求，控制导购机器人移动到商品所在区域，并指示商品的位置。
在S2中，顾客识别模块判断图像中的人脸是否为顾客的具体内容为：在预设时间内检测到正面人脸的次数达到阈值时，则判断检测到的人脸为顾客。
本发明的导购机器人系统及该导购机器人顾客检测方法，通过顾客提示系统，后台人员无需时时盯住监控画面查看是否有顾客需要服务，后台会自动提示是否有顾客进入或需要帮助，减轻了工作强度。
下面结合附图和具体实施例对本发明的技术方案进行详细地说明。
附图说明
图1为本发明实施例一导购机器人系统控制框图；
图2为本发明实施例一导购机器人顾客检测方法步骤逻辑图；
图3为本发明实施例二导购机器人系统控制框图；
图4为本发明实施例二导购机器人顾客检测方法步骤逻辑图。
具体实施方式
实施例一
图1为本发明实施例一导购机器人系统控制框图，如图1所示，本实施例提供导购机器人和后台服务终端4，导购机器人机体设有控制单元1、移动单元2和用于采集图像的摄像单元3，其中，为了更好更快捷地识别顾客，在控制单元1中还设有顾客识别模块12，该顾客识别模块12用于识别图像中的人脸，在识别过程中若判断人脸为需要帮助的顾客后想所述控制单元1发送第一信号，所述控制单元1接收第一信号后，通过所述通讯模块11发送第二信号到后台服务终端4，所述后台服务终端4接收到第二信号并发出提醒信号，后台工作人员即知道有顾客光临，及时为顾客提供服务。在本实施例中所述控制单元1中设有通讯单元11，所述通讯单元11还可设置在所述控制单元1外部，本领域技术人员可根据需要设置通讯单元11位置。
换句话说，在实际购物场合中，若正面人脸一直面对摄像头，则该人脸很可能为潜在顾客。本发明中，顾客识别模块12在预设时间内检测到正面人脸的次数达到阈值时，判断检测到的人脸为顾客，并发送第一信号到控制单元1。顾客识别模块12可以采用各种成熟算法来识别图像中的人脸，如Adaboost算法(Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器(强分类器))、模板匹配模型、基于奇异值特征方法等。举例来说，若顾客识别模块12在300ms-1000ms内，检测正面人脸次数达到10次，则认为该人脸为顾客。另，顾客识别模块12也可以进行图像比对，若发现正面人脸在图像中范围逐渐变大(即顾客向摄像头靠近)，也判断人脸为顾客。
当顾客识别模块12判断出有顾客时，所述后台服务终端4发出提醒信号后，导购机器人与后台服务终端4间自动对接，建立工作人员与顾客的通讯通道，方便工作人员与顾客的交流。通讯通道可以是后台服务终端和导购机器人的界面显示通道，也可以是语音交流通道。且通讯通道建立后，工作人员还可以根据顾客的商品需求，控制导购机器人移动到商品所在区域，并指示商品的位置。本实施例中，方便导购机器人的移动，导购机器人通过有线或无线网络与后台服务终端4进行通讯。
图2为本发明实施例一导购机器人顾客检测方法步骤逻辑图，如图2所示，本实施例中的所述导购机器人设有控制单元1、通讯模块11、摄像单元3和顾客识别模块12，其顾客检测方法包括如下步骤：
S1：摄像单元3采集人脸图像，并将人脸图像传递给人脸识别模块12；
S2：所述人脸识别模块12根据该人脸图像判断是否为需要帮助的顾客，若是则向控制单元1发送第一信号，控制单元1接收第一信号并通过所述通讯模块11将第二信号发送到后台客户端4，若否则返回S1；其中，顾客识别模块12判断图像中的人脸是否为顾客的具体内容为：在预设时间内检测到正面人脸的次数达到阈值时，则判断检测到的人脸为顾客；
S3：所述后台服务终端4接收第二信号后发出提醒信号。
为了方便顾客和工作人员的交流或交互，S3之后，还设有：
S31：所述后台客户端4接收第二信号后发出提醒信号后，导购机器人与后台服务终端4间自动对接，建立工作人员与顾客的通讯通道；
若顾客需要商品位置，则S31后，还设有：
S4：工作人员操作所述后台客户端4通过所述控制单元1控制移动单元2带动导购机器人移动，根据顾客的商品需求，控制导购机器人移动到商品所在区域，并指示商品的位置。
实施例二
图3为本发明实施例二导购机器人系统控制框图，如图3所示，本实施例中的导购机器人与实施例一中的导购机器人系统结构基本相同，不同之处在于，所述导购机器人机体还设有人机交互单元5，所述人机交互单元5为触控面板或呼叫按钮。如采用呼叫按钮，当顾客动作呼叫按钮时，控制单元1通过所述通讯模块11发送信号到后台服务终端4，所述后台服务终端4接收到信号后发出提醒信号后，导购机器人与后台服务终端4间自动对接，建立工作人员与顾客的通讯通道，方便工作人员与顾客的交流。通讯通道可以是后台服务终端和导购机器人的界面显示通道，也可以是语音交流通道。通讯通道建立后，工作人员根据顾客的商品需求，控制导购机器人移动到商品所在区域，并指示商品的位置。在本实施例中，顾客可以不通过摄像单元3采集图像而是直接按下呼叫按钮，呼叫后台客户端。
图4为本发明实施例二导购机器人顾客检测方法步骤逻辑图，如图4所示，本实施例中的导购机器人设有通讯模块11和呼叫按钮，其顾客检测方法包括如下步骤：
S1’：呼叫按钮被触发后，控制单元1通过所述通讯模块11发送信号到后台服务终端4；
S2’：所述后台服务终端4接收到信号后发出提醒信号后，导购机器人与后台服务终端4间自动对接，建立工作人员与顾客的通讯通道；
S3’：工作人员操作所述后台客户端4通过所述控制单元1控制移动单元2带动导购机器人移动，根据顾客的商品需求，控制导购机器人移动到商品所在区域，并指示商品的位置。
本发明的导购机器人及该导购机器人顾客检测方法，通过顾客提示系统，后台人员无需时时盯住监控画面查看是否有顾客需要服务，后台会自动提示是否有顾客进入或需要帮助，减轻了工作强度。

Claims (10)

  1. 一种导购机器人系统，包括：导购机器人和后台服务终端(4)，导购机器人机体设有控制单元(1)、移动单元(2)、通讯模块(11)和用于采集图像的摄像单元(3)，其特征在于，所述控制单元(1)设有顾客识别模块(12)，所述顾客识别模块(12)用于识别图像中的人脸，并判断人脸为顾客后发送第一信号，控制单元(1)接收第一信号，并通过所述通讯模块(11)发送第二信号到后台服务终端(4)，所述后台服务终端(4)接收到第二信号并发出提醒信号。
  2. 如权利要求1所述的导购机器人系统，其特征在于，所述顾客识别模块(12)在预设时间内检测到正面人脸的次数达到阈值时，判断检测到的人脸为顾客，并发送第一信号到控制单元(1)。
  3. 如权利要求1或2所述的导购机器人系统，其特征在于，所述后台服务终端(4)发出提醒信号后，导购机器人与后台服务终端(4)间自动对接，建立工作人员与顾客的通讯通道。
  4. 如权利要求3所述的导购机器人系统，其特征在于，工作人员根据顾客的商品需求，控制导购机器人移动到商品所在区域，并指示商品的位置。
  5. 如权利要求1所述的导购机器人系统，其特征在于，所述导购机器人机体还设有人机交互单元(5)，人机交互单元(5)被触发时，控制单元(1)通过所述通讯模块(11)发送信号到后台服务终端(4)，所述后台服务终端(4)接收到信号后发出提醒信号；所述人机交互单元(5)采用触控面板或呼叫按钮。
  6. 如权利要求1-5任一项所述的导购机器人系统，其特征在于，所述导购机器人通过有线或无线网络与后台服务终端(4)进行通讯。
  7. 一种导购机器人顾客识别通知方法，所述导购机器人设有控制单元(1)、通讯模块(11)、摄像单元(3)和顾客识别模块(12)，其特征在于，包括如下步骤：
    S1：摄像单元(3)采集图像，并将人脸图像传递给人脸识别模块(12)；
    S2：所述顾客识别模块(12)判断图像中的人脸是否为顾客，若是，则向控制单 元(1)发送第一信号，控制单元(1)接收第一信号并通过所述通讯模块(11)将第二信号发送到后台服务终端(4)；若否，则返回S1；
    S3：所述后台服务终端(4)接收第二信号后发出提醒信号。
  8. 如权利要求7所述的导购机器人顾客识别通知方法，其特征在于，在所述S3之后还包括：
    S31：所述后台客户端(4)接收第二信号后发出提醒信号后，导购机器人与后台服务终端(4)间自动对接，建立工作人员与顾客的通讯通道。
  9. 如权利要求7或8所述的导购机器人顾客识别通知方法，其特征在于，在所述S3之后还包括：
    S4：工作人员操作所述后台客户端(4)通过所述控制单元(1)控制移动单元(2)带动导购机器人移动，根据顾客的商品需求，控制导购机器人移动到商品所在区域，并指示商品的位置。
  10. 如权利要求9所述的顾客识别通知方法，其特征在于，在S2中，顾客识别模块判断图像中的人脸是否为顾客的具体内容为：在预设时间内检测到正面人脸的次数达到阈值时，则判断检测到的人脸为顾客。
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