技术领域Technical field
本发明涉及人工智能技术领域，尤其涉及一种智能无人交付方法、装置、电子设备及计算机可读存储介质。The present invention relates to the field of artificial intelligence technology, and in particular to an intelligent unmanned delivery method, device, electronic equipment and computer-readable storage medium.
背景技术Background technique
随着互联网的迅速发展和普及，人们的生活方式和消费习惯正在发生深刻变革。特别是在物联网、人工智能等新一代信息技术的推动下，智能化、无人化的服务逐渐渗透到生活的各个方面。With the rapid development and popularization of the Internet, people's lifestyles and consumption habits are undergoing profound changes. Especially driven by the new generation of information technologies such as the Internet of Things and artificial intelligence, intelligent and unmanned services have gradually penetrated into all aspects of life.
在这种背景下，无人交付系统作为一种新兴的服务模式，受到了广泛的关注和应用。传统的无人交付系统通常是提供一个无人交付柜，根据交付柜上的二维码信息扫描开柜，进而拿取货物，识别出货物信息进行付费操作或者是提供一个无人交付柜，选择想要的物品进行付款，进而无人交付柜自动的将获物传输出来，这种传统的无人交付系统无法实现获取的提前预约，经常需要人们是现场选货，现场拿货的，因此传统的无人交付系统仍存在取货效率低的问题。In this context, unmanned delivery systems, as an emerging service model, have received widespread attention and application. The traditional unmanned delivery system usually provides an unmanned delivery cabinet, scans and opens the cabinet according to the QR code information on the delivery cabinet, then takes the goods, identifies the goods information for payment operations, or provides an unmanned delivery cabinet, and chooses the desired Pay for the items you want, and then the unmanned delivery cabinet automatically transfers the items. This traditional unmanned delivery system cannot achieve advance reservation of items, and often requires people to select and pick up the items on site. Therefore, the traditional unmanned delivery system Unmanned delivery systems still have the problem of low efficiency in picking up goods.
发明内容Contents of the invention
本发明提供一种智能无人交付方法、装置及计算机可读存储介质，其主要目的在于解决传统的无人交付系统仍存在取货效率低的问题。The present invention provides an intelligent unmanned delivery method, device and computer-readable storage medium. Its main purpose is to solve the problem of low efficiency in picking up goods that still exists in the traditional unmanned delivery system.
为实现上述目的，本发明提供的一种智能无人交付方法，包括：In order to achieve the above objectives, the present invention provides an intelligent unmanned delivery method, including:
获取用户的活体信息，根据所述活体信息进行信息识别，得到用户认证结果；Obtain the user's biological information, perform information identification based on the biological information, and obtain the user authentication result;
根据所述用户认证结果进行预约信息查询，得到预约商品；Perform reservation information query according to the user authentication result to obtain reserved products;
根据所述用户预约商品进行货物识别，得到货物信息；Carry out cargo identification according to the user's reserved commodities and obtain cargo information;
根据所述货物信息控制预设的交付装置执行货物交付。Control the preset delivery device to perform cargo delivery according to the cargo information.
可选地，所述根据所述活体信息进行信息识别，得到用户认证结果，包括：Optionally, the information identification based on the biological information to obtain a user authentication result includes:
根据活体信息进行关键点提取，得到关键点信息；Extract key points based on living body information to obtain key point information;
根据所述关键点信息进行特征点匹配，根据特征点匹配的结果生成用户认证结果。Feature point matching is performed based on the key point information, and a user authentication result is generated based on the feature point matching result.
可选地，所述根据活体信息进行关键点提取，得到关键点信息，包括：Optionally, the key point extraction is performed based on the living body information to obtain key point information, including:
对所述活体信息进行数据对齐操作，得到待处理活体数据；Perform a data alignment operation on the living body information to obtain the living body data to be processed;
对所述待处理活体信息进行特征提取，得到活体特征；Perform feature extraction on the living body information to be processed to obtain living body features;
对所述活体特征进行关键点定位，得到关键点信息。Key point positioning is performed on the characteristics of the living body to obtain key point information.
可选地，所述根据所述关键点信息进行特征点匹配，根据特征点匹配的结果生成用户认证结果，包括：Optionally, performing feature point matching based on the key point information, and generating a user authentication result based on the feature point matching result includes:
获取认证用户信息，对所述认证用户信息进行关键点提取，得到用户关键点；Obtain authenticated user information, extract key points from the authenticated user information, and obtain user key points;
根据所述用户关键点以及所述关键点信息进行关键点匹配，得到匹配结果；Perform key point matching according to the user key points and the key point information to obtain a matching result;
根据所述匹配结果进行匹配验证，得到用认证关键点；Perform matching verification based on the matching results to obtain authentication key points;
根据所述认证关键点以及所述认证用户信息进行匹配，得到用户认证结果。Matching is performed based on the authentication key points and the authenticated user information to obtain a user authentication result.
可选地，所述根据所述用户认证结果进行预约信息查询，得到预约商品，包括：Optionally, querying reservation information based on the user authentication result to obtain reserved goods includes:
利用预设的数据库对所述用户认证结果进行数据库匹配，得到用户身份信息；Use a preset database to perform database matching on the user authentication results to obtain user identity information;
根据所述用户身份信息进行商品预约匹配，得到预约商品。Product reservation matching is performed based on the user identity information to obtain the reserved product.
可选地，所述根据所述用户预约商品进行货物识别，得到货物信息，包括：Optionally, the step of identifying goods according to the user's reserved goods and obtaining the goods information includes:
根据所述预约商品匹配出预约商品图像；Match the reserved product image according to the reserved product;
对所述预约商品图像进行图像识别，得到目标货物；Perform image recognition on the reserved product image to obtain the target goods;
对所述目标货物进行坐标化，得到货物信息。Coordinate the target cargo to obtain cargo information.
可选地，所述根据所述货物信息控制预设的交付装置执行货物交付，包括：Optionally, the controlling a preset delivery device to perform cargo delivery based on the cargo information includes:
根据所述货物信息合成位置参数；Synthesize location parameters based on the cargo information;
根据所述位置参数生成控制指令并传输至所述交付装置；其中，所述控制指令用于控制所述交付装置根据所述信息参数逐个抓取货物，将所述货物放入传送瓶中进行打包，并将打包好的传送瓶传送至用户交付端。Generate control instructions according to the position parameters and transmit them to the delivery device; wherein the control instructions are used to control the delivery device to grab goods one by one according to the information parameters, and put the goods into transfer bottles for packaging , and deliver the packaged delivery bottles to the user delivery end.
为了解决上述问题，本发明还提供一种智能无人交付装置，所述装置包括：In order to solve the above problems, the present invention also provides an intelligent unmanned delivery device, which includes:
用户认证模块，用于获取用户的活体信息，根据所述活体信息进行信息识别，得到用户认证结果；The user authentication module is used to obtain the user's biological information, perform information identification based on the biological information, and obtain the user authentication result;
商品查询模块，用于根据所述用户认证结果进行预约信息查询，得到预约商品；A product query module is used to query reservation information based on the user authentication results and obtain reservation products;
商品识别模块，用于根据所述用户预约商品进行货物识别，得到货物信息；A product identification module is used to identify goods according to the user's reserved goods and obtain goods information;
货物交付模块，用于根据所述货物信息控制预设的交付装置执行货物交付。The goods delivery module is used to control the preset delivery device to perform goods delivery according to the goods information.
为了解决上述问题，本发明还提供一种电子设备，所述电子设备包括：In order to solve the above problems, the present invention also provides an electronic device, which includes:
至少一个处理器；以及，at least one processor; and,
与所述至少一个处理器通信连接的存储器；其中，a memory communicatively connected to the at least one processor; wherein,
所述存储器存储有可被所述至少一个处理器执行的计算机程序，所述计算机程序被所述至少一个处理器执行，以使所述至少一个处理器能够执行上述所述的智能无人交付方法。The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor, so that the at least one processor can execute the intelligent unmanned delivery method described above. .
为了解决上述问题，本发明还提供一种计算机可读存储介质，所述计算机可读存储介质中存储有至少一个计算机程序，所述至少一个计算机程序被电子设备中的处理器执行以实现上述所述的智能无人交付方法。In order to solve the above problems, the present invention also provides a computer-readable storage medium. The computer-readable storage medium stores at least one computer program. The at least one computer program is executed by a processor in an electronic device to implement the above. The above-mentioned intelligent unmanned delivery method.
本发明实施例通过获取用户的活体信息，进而根据活体信息进行信息识别，可以确认用户的身份，完成身份认证，进而可以防止他人取走用户的货物，提高了无人交付系统的安全性；通过根据用户认证信息进行预约信息查询，可以让用户能够即时地获取所需商品，减少挑选以及等待时间，进而可以提高无人交付系统的交付效率。因此本发明提出的智能无人交付方法、装置、电子设备及计算机可读存储介质，可以解决传统的无人交付系统仍存在取货效率低的问题。Embodiments of the present invention obtain the user's biological information and then perform information identification based on the biological information to confirm the user's identity and complete identity authentication, thereby preventing others from taking the user's goods and improving the security of the unmanned delivery system; Querying reservation information based on user authentication information allows users to instantly obtain the goods they need, reducing selection and waiting time, which in turn improves the delivery efficiency of the unmanned delivery system. Therefore, the intelligent unmanned delivery method, device, electronic equipment and computer-readable storage medium proposed by the present invention can solve the problem of low efficiency in picking up goods that still exists in the traditional unmanned delivery system.
附图说明Description of the drawings
图1为本发明一实施例提供的智能无人交付方法的流程示意图；Figure 1 is a schematic flowchart of an intelligent unmanned delivery method provided by an embodiment of the present invention;
图2为本发明一实施例提供的关键点匹配的流程示意图；Figure 2 is a schematic flowchart of key point matching provided by an embodiment of the present invention;
图3为本发明一实施例提供的货物识别的流程示意图；Figure 3 is a schematic flow chart of cargo identification provided by an embodiment of the present invention;
图4为本发明一实施例提供的智能无人交付装置的功能模块图；Figure 4 is a functional module diagram of an intelligent unmanned delivery device provided by an embodiment of the present invention;
图5为本发明一实施例提供的实现所述智能无人交付方法的电子设备的结构示意图。FIG. 5 is a schematic structural diagram of an electronic device implementing the intelligent unmanned delivery method provided by an embodiment of the present invention.
本发明目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。The realization of the purpose, functional features and advantages of the present invention will be further described with reference to the embodiments and the accompanying drawings.
具体实施方式Detailed ways
应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。It should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the present invention.
本申请实施例提供一种智能无人交付方法。所述智能无人交付方法的执行主体包括但不限于服务端、终端等能够被配置为执行本申请实施例提供的该方法的电子设备中的至少一种。换言之，所述智能无人交付方法可以由安装在终端设备或服务端设备的软件或硬件来执行，所述软件可以是区块链平台。所述服务端包括但不限于：单台服务器、服务器集群、云端服务器或云端服务器集群等。所述服务器可以是独立的服务器，也可以是提供云服务、云数据库、云计算、云函数、云存储、网络服务、云通信、中间件服务、域名服务、安全服务、内容分发网络(Content Delivery Network，CDN)、以及大数据和人工智能平台等基础云计算服务的云服务器。The embodiment of the present application provides an intelligent unmanned delivery method. The execution subject of the intelligent unmanned delivery method includes, but is not limited to, at least one of a server, a terminal, and other electronic devices that can be configured to execute the method provided by the embodiments of the present application. In other words, the intelligent unmanned delivery method can be executed by software or hardware installed on the terminal device or the server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server may be an independent server, or may provide cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, and content delivery networks (Content Delivery Network, CDN), and cloud servers for basic cloud computing services such as big data and artificial intelligence platforms.
参照图1所示，为本发明一实施例提供的智能无人交付方法的流程示意图。在本实施例中，所述智能无人交付方法包括：Refer to FIG. 1 , which is a schematic flowchart of an intelligent unmanned delivery method provided by an embodiment of the present invention. In this embodiment, the intelligent unmanned delivery method includes:
S1、获取用户的活体信息，根据所述活体信息进行信息识别，得到用户信息。S1. Obtain the user's biological information, perform information identification based on the biological information, and obtain the user information.
本发明实施例中，所述活体信息指的是采集到的用户的掌纹图像数据、用户的指纹图像数据或者是用户的人脸图像数据。In the embodiment of the present invention, the living body information refers to the collected palmprint image data of the user, the fingerprint image data of the user, or the face image data of the user.
本发明实施例中，由于传统的无人交付系统都是通过扫描二维码进行开柜，然后由用户自己进行挑选货物，挑选结束后进行结算，但是这种方法在批量用户同时需要购买货物的情况下，容易出现货物无法准确匹配到个人、货物误拿误结算的现象；本实施通过对用户信息进行活体检测后得到用户信息，根据活体检测结果进行用户认证，由用户在手机上进行统一挑选，进而将货物打包传送给用户，可以保证货物准确匹配到个人以及货物结算的准确性。In the embodiment of the present invention, since the traditional unmanned delivery system opens the cabinet by scanning the QR code, and then the user selects the goods by himself, and settles after the selection is completed, however, this method is not suitable for batch users who need to purchase goods at the same time. Under such circumstances, it is easy for goods to fail to be accurately matched to individuals, and goods are mistakenly taken and settled by mistake; this implementation obtains user information by conducting liveness detection on user information, performs user authentication based on the liveness detection results, and allows users to make unified selections on their mobile phones. , and then the goods are packaged and transmitted to the user, which can ensure the accurate matching of goods to individuals and the accuracy of goods settlement.
本发明实施例中，所述根据所述活体信息进行信息识别，得到用户认证结果，包括：In the embodiment of the present invention, the information identification based on the living body information to obtain the user authentication result includes:
根据活体信息进行关键点提取，得到关键点信息；Extract key points based on living body information to obtain key point information;
根据所述关键点信息进行特征点匹配，根据特征点匹配的结果生成用户认证结果。Feature point matching is performed based on the key point information, and a user authentication result is generated based on the feature point matching result.
本发明实施例中，可以利用回归模型法进行关键点检测，回归模型法是将所述活体信息利用卷积神经网络进行卷积，再由模型中的全连接层进行处理，最终可以得到关键点的坐标，因此通过利用回归模型法进行关键点检测可以使得得到的关键点更加精准。In the embodiment of the present invention, the regression model method can be used for key point detection. The regression model method is to convolve the living body information using a convolutional neural network, and then process it through the fully connected layer in the model, and finally the key points can be obtained coordinates, so by using the regression model method for key point detection, the obtained key points can be made more accurate.
本发明实施例中，所述根据活体信息进行关键点提取，得到关键点信息，包括：In the embodiment of the present invention, key point extraction is performed based on living body information to obtain key point information, including:
对所述活体信息进行数据对齐操作，得到待处理活体数据；Perform a data alignment operation on the living body information to obtain the living body data to be processed;
对所述待处理活体信息进行特征提取，得到活体特征；Perform feature extraction on the living body information to be processed to obtain living body features;
对所述活体特征进行关键点定位，得到关键点信息。Key point positioning is performed on the characteristics of the living body to obtain key point information.
本发明实施例中，所述数据对齐操作指的是利用所述活体信息中预设的固定位置作为参考点，进而根据所述参考点将所述活体信息数据进行仿射变换，得到待处理活体数据，其中所述预设的固定位置指的是在活体采集过程中设置的一些特定的参考点，例如采集指纹时的提示框或者是采集人脸时候，提示的轮廓框。In the embodiment of the present invention, the data alignment operation refers to using a preset fixed position in the living body information as a reference point, and then performing affine transformation on the living body information data according to the reference point to obtain the living body to be processed. Data, where the preset fixed positions refer to some specific reference points set during the living body collection process, such as the prompt box when collecting fingerprints or the contour box when collecting faces.
本发明实施例中，可以利用局部二值模型法来进行特征提取，是通过计算所述参考点的领域，并将领域内的每个像素点与所述参考的进行比较，根据比较结果，对领域内的每个像素点进行赋值，得到一个像素点二进制码，根据所述二进制码进行统计，得到图像特征。In the embodiment of the present invention, the local binary model method can be used to perform feature extraction by calculating the area of the reference point and comparing each pixel point in the area with the reference. According to the comparison result, the Each pixel in the field is assigned a value to obtain a pixel binary code. Statistics are performed based on the binary code to obtain image features.
本发明实施例中，所述人脸的关键点包括眉毛、眼睛、鼻子、嘴巴以及脸部轮廓，掌纹的关键点包括主线、皱纹、细小的纹理、脊末梢以及分叉点，指纹的关键点包括指纹纹线的端点、分叉点、指纹的中心点以及三角点。In the embodiment of the present invention, the key points of the human face include eyebrows, eyes, nose, mouth and facial contours; the key points of the palm print include main lines, wrinkles, small textures, ridge ends and bifurcation points; the key points of the fingerprint Points include the end points of fingerprint lines, bifurcation points, center points of fingerprints and triangular points.
本发明实施例中，所述可以利用深度学习法来实现关键点定位，深度学习法是通过深度卷积神经网络学习人脸、掌纹以及指纹特征数据，进而提取出活体信息的关键点位置，通过利用深度学习法来实现特征关键点信息定位提取，可以精准的提取出所述关键点信息，进而实现精准识别。In the embodiment of the present invention, the deep learning method can be used to realize key point positioning. The deep learning method is to learn face, palmprint and fingerprint feature data through a deep convolutional neural network, and then extract the key point position of the living body information. By using the deep learning method to locate and extract feature key point information, the key point information can be accurately extracted, thereby achieving accurate identification.
本发明实施例中，所述根据所述关键点信息进行特征点匹配，根据特征点匹配的结果生成用户认证结果，包括：In the embodiment of the present invention, the feature point matching is performed based on the key point information, and the user authentication result is generated based on the feature point matching result, including:
S21、获取认证用户信息，对所述认证用户信息进行关键点提取，得到用户关键点；S21. Obtain the authenticated user information, extract key points from the authenticated user information, and obtain the user key points;
S22、根据所述用户关键点以及所述关键点信息进行关键点匹配，得到匹配结果；S22. Perform key point matching according to the user key points and the key point information to obtain a matching result;
S23、根据所述匹配结果进行匹配验证，得到用认证关键点；S23. Perform matching verification based on the matching results to obtain key points for authentication;
S24、根据所述认证关键点以及所述认证用户信息进行匹配，得到用户认证结果。S24: Match according to the authentication key points and the authentication user information to obtain the user authentication result.
本发明实施例中，所述认证用户信息包括用户已认证的掌纹、指纹、人脸信息、用户名称以及用户唯一标识信息，其中，所述用户的掌纹、指纹或者是人脸信息为用户进行注册认证的时候提供的掌纹、指纹或者是人脸信息。In the embodiment of the present invention, the authenticated user information includes the user's authenticated palmprint, fingerprint, face information, user name and user's unique identification information, wherein the user's palmprint, fingerprint or face information is the user's authenticated palmprint, fingerprint or face information. Palmprint, fingerprint or facial information provided during registration and authentication.
本发明实施例中，可以利用加速稳健特征法来进行关键点匹配，得到匹配结果，加速稳健特征法是通过将用户关键点逐个转换成描述符向量，将所述关键点信息转换为目标向量，进而利用欧氏距离逐个计算所述描述符向量与所述目标向量之间的距离，对计算得到的距离结果进行降序排序，根据降序排序结果，选取比预设匹配常数大的距离结果对应的描述符向量以及目标向量，将所述描述符向量以及所述目标向量对应的用户关键点以及关键点信息作为匹配结果。In the embodiment of the present invention, the accelerated robust feature method can be used to perform key point matching and obtain the matching results. The accelerated robust feature method converts the user key points into descriptor vectors one by one, and converts the key point information into a target vector. Then use the Euclidean distance to calculate the distance between the descriptor vector and the target vector one by one, sort the calculated distance results in descending order, and select the description corresponding to the distance result that is larger than the preset matching constant based on the descending order results. descriptor vector and target vector, and use the user key points and key point information corresponding to the descriptor vector and the target vector as the matching result.
本发明实施例中，可以利用图像金字塔和多尺度分析法来进行匹配验证，图像金字塔和多尺度分析法是从所述匹配结果中，选取其中的用户关键点，进而根据所述用户关键点以及关键点信息创建不同尺度的匹配项图像，得到图像金字塔，进而根据所述图像金字塔，进行不同尺度的相似度计算，得到不同尺度的相似度结果，选取在不同尺度的相似度结果都比预设的相似度常数大的用户关键点作为认证关键点。In embodiments of the present invention, image pyramid and multi-scale analysis methods can be used to perform matching verification. The image pyramid and multi-scale analysis methods select user key points from the matching results, and then based on the user key points and The key point information creates matching images of different scales to obtain an image pyramid, and then performs similarity calculations at different scales based on the image pyramid to obtain similarity results at different scales. The selected similarity results at different scales are better than the preset User key points with large similarity constants are used as authentication key points.
本发明实施例中，所述用户认证结果指的是匹配得到的用户名称以及用户唯一标识信息。In this embodiment of the present invention, the user authentication result refers to the matched user name and user unique identification information.
例如，现已经获得了其中一个用户A的活体人脸信息，首先，根据所述人脸信息进行人脸的对齐操作，使得人的面部方向和位置进行统一；接着，可以利用局部二值模型法提取出面部特征，进而通过卷积神经网络将所述面部特征提取成一个个的像素点，得到关键点，将所述关键点进行图像提取得到关键点信息。获取已经进行人脸认证的用户信息，对所述人脸认证的用户信息中的人脸信息重复上述操作，得到若干个用户关键点；将若干个用户关键点以及所述关键点信息进行向量转化，计算所述向量之间的距离，筛选出向量之间距离大于预设匹配常数的向量；将所述向量对应的用户关键点以及所述关键点信息进行二次匹配验证，根据匹配验证结果利用预设的相似度常数筛选出用户关键点作为认证关键点，根据所述认证关键点以及获取的认证用户信息进行身份匹配，得到用户A的用户名称以及唯一标识信息；用户名称以及唯一标识可以是姓名和手机号。For example, the living face information of one of the users A has been obtained. First, the face alignment operation is performed based on the face information so that the direction and position of the person's face are unified; then, the local binary model method can be used Facial features are extracted, and then the facial features are extracted into pixels one by one through a convolutional neural network to obtain key points. The key points are image extracted to obtain key point information. Obtain user information that has undergone face authentication, repeat the above operations on the face information in the user information of face authentication, and obtain several user key points; convert several user key points and the key point information into vectors , calculate the distance between the vectors, and filter out the vectors whose distance between vectors is greater than the preset matching constant; perform a secondary matching verification on the user key points corresponding to the vectors and the key point information, and use The preset similarity constant filters out user key points as authentication key points, performs identity matching based on the authentication key points and the obtained authentication user information, and obtains the user name and unique identification information of user A; the user name and unique identification can be Name and mobile phone number.
本发明实施例中，通过对所述活体信息进行信息识别，并根据识别结果进行货物交付，可以确认用户的信息，保证无人交付系统的安全性。In the embodiment of the present invention, by identifying the living body information and delivering the goods based on the identification results, the user's information can be confirmed and the security of the unmanned delivery system can be ensured.
S2、根据所述用户认证结果进行预约信息查询，得到预约商品。S2. Query the reservation information according to the user authentication result to obtain the reservation product.
本发明实施例中，由于目前的无人交付系统都是用户排队到现场进行货物挑选，容易造成等待时间较长的情况，因此，通过提前挑选商品并进行预约可以减少挑选时间，提高无人交付速度。In the embodiment of the present invention, since the current unmanned delivery system has users queuing up to the site to select goods, it is easy to cause a long waiting time. Therefore, by selecting goods in advance and making reservations, the picking time can be reduced and unmanned delivery can be improved. speed.
本发明实施例中，所述根据所述用户认证结果进行预约信息查询，得到预约商品，包括：In the embodiment of the present invention, the reservation information query based on the user authentication result to obtain the reservation product includes:
利用预设的数据库对所述用户认证结果进行数据库匹配，得到用户身份信息；Use a preset database to perform database matching on the user authentication results to obtain user identity information;
根据所述用户身份信息进行商品预约匹配，得到预约商品。Product reservation matching is performed based on the user identity information to obtain the reserved product.
本发明实施例中，所述预设数据库包括用户的唯一标识，用户的身份信息，用户预约的商品信息、商品外形特征以及商品库存信息。In the embodiment of the present invention, the preset database includes the user's unique identifier, the user's identity information, the product information reserved by the user, product appearance characteristics, and product inventory information.
本发明实施例中，所述对所述用户认证结果进行数据库匹配指的是，根据所述用户认证结果中的唯一标识匹配处用户的账号名称，具体的，可以利用数据库脚本来实现用户认证结果与用户身份信息的匹配，数据库脚本是通过根据用户认证信息中的唯一标识进行标识筛选，得到用户的身份信息表，进而根据用户身份信息表得到用户身份信息，进一步的，所述用户身份信息表包括用户预约的挑选商品，用户的唯一标识、用户的账号信息、用户的活体认证信息等。In the embodiment of the present invention, the database matching of the user authentication results refers to matching the user's account name according to the unique identifier in the user authentication results. Specifically, a database script can be used to realize the user authentication results. To match the user identity information, the database script obtains the user's identity information table by performing identification screening based on the unique identifier in the user authentication information, and then obtains the user identity information based on the user identity information table. Furthermore, the user identity information table Including the selected products reserved by the user, the user's unique identification, the user's account information, the user's living authentication information, etc.
本发明实施例中，所述根据所述用户身份信息进行商品预约匹配指的是根据所述用户身份信息利用数据库筛选出用户所挑选的挑选商品，进而将所述挑选商品与所述商品库存信息进行匹配，筛选出商品库存大于等于1的商品作为预约商品。In the embodiment of the present invention, the product reservation matching based on the user identity information refers to using the database to filter out the selected products selected by the user based on the user identity information, and then combining the selected products with the product inventory information. Perform matching and filter out products with inventory greater than or equal to 1 as reservation products.
本发明实施例中，所述通过用户信息进行预约信息查询，可以得到用户提前设定好的想要的商品，减少用户挑选时间，提高无人交付系统的交付效率。In the embodiment of the present invention, the reservation information query through user information can obtain the desired products set by the user in advance, reduce the user's selection time, and improve the delivery efficiency of the unmanned delivery system.
S3、根据所述用户预约商品进行货物识别，得到货物信息。S3. Carry out cargo identification based on the user's reserved products and obtain cargo information.
本发明实施例中，通过对预约商品进行商品识别，可以精确的识别出货物的具体外形特征，进而根据货物的外形特征确定货物的具体位置，进而根据货物的具体位置进行货物交付，可以提高货物查找的准确度，降低货物信息的误差。In the embodiment of the present invention, by performing product identification on the reserved goods, the specific appearance characteristics of the goods can be accurately identified, and then the specific location of the goods can be determined based on the appearance characteristics of the goods, and then the goods can be delivered based on the specific location of the goods, which can improve the quality of goods. Search accuracy and reduce errors in cargo information.
本发明实施例中，所述根据所述用户预约商品进行货物识别，得到货物信息，包括：In the embodiment of the present invention, the goods identification based on the user's reserved goods to obtain the goods information includes:
S31、根据所述预约商品匹配出预约商品图像；S31. Match the reserved product image according to the reserved product;
S32、对所述预约商品图像进行图像识别，得到目标货物；S32. Perform image recognition on the reserved product image to obtain the target goods;
S33、对所述目标货物进行坐标化，得到货物信息。S33. Coordinate the target cargo to obtain cargo information.
本发明实施例中，可以利用原型匹配法对预约图像进行图片识别，原型匹配法是根据所述预约商品图像进行特征点提取，进而根据提取得到的所述特征点与货物进行特征点匹配，根据所述特征点匹配结果筛选出比预设阈值大的货物作为目标货物。In the embodiment of the present invention, the prototype matching method can be used to perform image recognition on the reservation image. The prototype matching method is to extract feature points based on the reservation product image, and then match the feature points with the goods based on the extracted feature points. According to The feature point matching results screen out goods larger than the preset threshold as target goods.
本发明实施例中，所述坐标化指的是，将据货物存放的空间转化为三维坐标，根据三维坐标对所述目标货物进行位置提取，得到货物信息。进一步的，可以利用三角测量法来实现目标位置提取，三角测量法是通过获取存放空间的三个预设固定坐标，再根据所述固定坐标以及所述目标货物位置构建向量方程组，进而进行方程组求解得到目标位置，其中三个预设固定坐标可以为存放空间内统一平面内不同直线的三个点，例如，存放空间是长宽高分别为a，b，c的长方形，则预设固定坐标可以为(a,0,0)，(0,b,a)，(c，b，a)。In the embodiment of the present invention, the coordinateization refers to converting the space where the goods are stored into three-dimensional coordinates, and extracting the location of the target goods according to the three-dimensional coordinates to obtain the goods information. Furthermore, the target position extraction can be achieved by using the triangulation method. The triangulation method is to obtain three preset fixed coordinates of the storage space, and then construct a set of vector equations based on the fixed coordinates and the target cargo position, and then perform the equations The target position is obtained by group solution. The three preset fixed coordinates can be three points on different straight lines in the same plane in the storage space. For example, if the storage space is a rectangle with length, width and height respectively a, b, and c, then the preset fixed coordinates are The coordinates can be (a,0,0), (0,b,a), (c,b,a).
本发明实施例中，所述根据所述用户预约商品进行货物识别可以精确的得到目标货物的位置以及图像信息，减少交付货物出现货物信息错误的情况，进而可以精准的完成货物交付。In the embodiment of the present invention, the cargo identification based on the user's reserved commodities can accurately obtain the location and image information of the target cargo, reduce the occurrence of cargo information errors in delivered goods, and thus accurately complete the delivery of goods.
S4、根据所述货物信息控制预设的交付装置执行货物交付。S4. Control the preset delivery device to perform goods delivery according to the goods information.
本发明实施例中，通过由于目前的无人交付系统是打开柜门，让用户自己挑选或者是放个标本让用户根据标本进行选择，因此，通过货物信息利用预设的交付装置进行统一的货物交付可以避免货物被掉包的情况。In the embodiment of the present invention, because the current unmanned delivery system opens the cabinet door and allows the user to select it by himself or puts a specimen for the user to select based on the specimen, the preset delivery device is used to unify the goods through the goods information. Delivery can avoid the situation of goods being dropped.
本发明实施例中，所述根据所述货物信息控制预设的交付装置执行货物交付，包括：In the embodiment of the present invention, controlling the preset delivery device to perform goods delivery based on the goods information includes:
根据所述货物信息合成位置参数；Synthesize location parameters based on the cargo information;
根据所述位置参数生成控制指令并传输至所述交付装置；其中，所述控制指令用于控制所述交付装置根据所述信息参数逐个抓取货物，将所述货物放入传送瓶中进行打包，并将打包好的传送瓶传送至用户交付端。Generate control instructions according to the position parameters and transmit them to the delivery device; wherein the control instructions are used to control the delivery device to grab goods one by one according to the information parameters, and put the goods into transfer bottles for packaging , and deliver the packaged delivery bottles to the user delivery end.
进一步的，所述交付装置执行货物交付后，还可以对所述传送瓶是否回收进行判断，若传送瓶回收，则反馈交易成功的指令，若所述传送瓶没有回收或者回收异常，则显示交易异常的指令。Further, after the delivery device performs the delivery of goods, it can also judge whether the transfer bottle is recycled. If the transfer bottle is recycled, an instruction of successful transaction will be fed back. If the transfer bottle is not recycled or the recycling is abnormal, the transaction will be displayed. Unusual instructions.
本发明实施例中，通过利用统一的交付装置自动的执行货物交付，可以解决货物被掉包的风险。In the embodiment of the present invention, by using a unified delivery device to automatically perform delivery of goods, the risk of goods being dropped can be solved.
如图4所示，是本发明一实施例提供的智能无人交付装置的功能模块图。As shown in Figure 4, it is a functional module diagram of an intelligent unmanned delivery device provided by an embodiment of the present invention.
本发明所述智能无人交付装置100可以安装于电子设备中。根据实现的功能，所述智能无人交付装置100可以包括用户认证模块101、商品查询模块102、商品识别模块103及货物交付模块104。本发明所述模块也可以称之为单元，是指一种能够被电子设备处理器所执行，并且能够完成固定功能的一系列计算机程序段，其存储在电子设备的存储器中。The intelligent unmanned delivery device 100 of the present invention can be installed in electronic equipment. According to the implemented functions, the intelligent unmanned delivery device 100 may include a user authentication module 101, a product query module 102, a product identification module 103 and a goods delivery module 104. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by the processor of the electronic device and can complete fixed functions, and are stored in the memory of the electronic device.
在本实施例中，关于各模块/单元的功能如下：In this embodiment, the functions of each module/unit are as follows:
所述用户认证模块101，用于获取用户的活体信息，根据所述活体信息进行信息识别，得到用户认证结果；The user authentication module 101 is used to obtain the user's biological information, perform information identification based on the biological information, and obtain the user authentication result;
所述商品查询模块102，用于根据所述用户认证结果进行预约信息查询，得到预约商品；The product query module 102 is used to query reservation information based on the user authentication result to obtain reserved products;
所述商品识别模块103，用于根据所述用户预约商品进行货物识别，得到货物信息；The product identification module 103 is used to identify goods according to the user's reserved goods and obtain goods information;
所述货物交付模块104，用于根据所述货物信息控制预设的交付装置执行货物交付。The goods delivery module 104 is configured to control a preset delivery device to perform goods delivery according to the goods information.
详细地，本发明实施例中所述智能无人交付装置100中所述的各模块在使用时采用与上述图1至图3中所述的智能无人交付方法一样的技术手段，并能够产生相同的技术效果，这里不再赘述。In detail, each module in the intelligent unmanned delivery device 100 described in the embodiment of the present invention adopts the same technical means as the intelligent unmanned delivery method described in FIGS. 1 to 3 when used, and can produce The same technical effects will not be repeated here.
如图5所示，是本发明一实施例提供的实现智能无人交付方法的电子设备的结构示意图。As shown in FIG. 5 , it is a schematic structural diagram of an electronic device that implements an intelligent unmanned delivery method provided by an embodiment of the present invention.
所述电子设备1可以包括处理器10、存储器11、通信总线12以及通信接口13，还可以包括存储在所述存储器11中并可在所述处理器10上运行的计算机程序，如智能无人交付程序。The electronic device 1 may include a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as an intelligent unmanned aerial vehicle. Delivery procedures.
其中，所述处理器10在一些实施例中可以由集成电路组成，例如可以由单个封装的集成电路所组成，也可以是由多个相同功能或不同功能封装的集成电路所组成，包括一个或者多个中央处理器(Central Processing unit，CPU)、微处理器、数字处理芯片、图形处理器及各种控制芯片的组合等。所述处理器10是所述电子设备的控制核心(ControlUnit)，利用各种接口和线路连接整个电子设备的各个部件，通过运行或执行存储在所述存储器11内的程序或者模块(例如执行智能无人交付程序等)，以及调用存储在所述存储器11内的数据，以执行电子设备的各种功能和处理数据。The processor 10 may be composed of an integrated circuit in some embodiments, for example, it may be composed of a single packaged integrated circuit, or it may be composed of multiple integrated circuits packaged with the same function or different functions, including one or A combination of multiple central processing units (CPUs), microprocessors, digital processing chips, graphics processors and various control chips, etc. The processor 10 is the control core (ControlUnit) of the electronic device, using various interfaces and lines to connect various components of the entire electronic device, by running or executing programs or modules stored in the memory 11 (for example, executing intelligent unmanned delivery program, etc.), and calls the data stored in the memory 11 to perform various functions of the electronic device and process data.
所述存储器11至少包括一种类型的可读存储介质，所述可读存储介质包括闪存、移动硬盘、多媒体卡、卡型存储器(例如：SD或DX存储器等)、磁性存储器、磁盘、光盘等。所述存储器11在一些实施例中可以是电子设备的内部存储单元，例如该电子设备的移动硬盘。所述存储器11在另一些实施例中也可以是电子设备的外部存储设备，例如电子设备上配备的插接式移动硬盘、智能存储卡(Smart Media Card，SMC)、安全数字(Secure Digital，SD)卡、闪存卡(Flash Card)等。进一步地，所述存储器11还可以既包括电子设备的内部存储单元也包括外部存储设备。所述存储器11不仅可以用于存储安装于电子设备的应用软件及各类数据，例如智能无人交付程序的代码等，还可以用于暂时地存储已经输出或者将要输出的数据。The memory 11 includes at least one type of readable storage medium. The readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (such as SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. . In some embodiments, the memory 11 may be an internal storage unit of an electronic device, such as a mobile hard disk of the electronic device. In other embodiments, the memory 11 may also be an external storage device of an electronic device, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), or a secure digital (SD) device equipped on the electronic device. ) card, Flash Card, etc. Further, the memory 11 may also include both an internal storage unit of the electronic device and an external storage device. The memory 11 can not only be used to store application software installed on electronic devices and various types of data, such as codes for intelligent unmanned delivery programs, etc., but can also be used to temporarily store data that has been output or will be output.
所述通信总线12可以是外设部件互连标准(peripheral componentinterconnect，简称PCI)总线或扩展工业标准结构(extended industry standardarchitecture，简称EISA)总线等。该总线可以分为地址总线、数据总线、控制总线等。所述总线被设置为实现所述存储器11以及至少一个处理器10等之间的连接通信。The communication bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus. The bus can be divided into address bus, data bus, control bus, etc. The bus is configured to enable connection communication between the memory 11 and at least one processor 10 and the like.
所述通信接口13用于上述电子设备与其他设备之间的通信，包括网络接口和用户接口。可选地，所述网络接口可以包括有线接口和/或无线接口(如WI-FI接口、蓝牙接口等)，通常用于在该电子设备与其他电子设备之间建立通信连接。所述用户接口可以是显示器(Display)、输入单元(比如键盘(Keyboard))，可选地，用户接口还可以是标准的有线接口、无线接口。可选地，在一些实施例中，显示器可以是LED显示器、液晶显示器、触控式液晶显示器以及OLED(Organic Light-Emitting Diode，有机发光二极管)触摸器等。其中，显示器也可以适当的称为显示屏或显示单元，用于显示在电子设备中处理的信息以及用于显示可视化的用户界面。The communication interface 13 is used for communication between the above-mentioned electronic device and other devices, and includes a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which are generally used to establish communication connections between the electronic device and other electronic devices. The user interface may be a display (Display) or an input unit (such as a keyboard). Optionally, the user interface may also be a standard wired interface or a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, or the like. The display may also be appropriately referred to as a display screen or a display unit, and is used for displaying information processed in the electronic device and for displaying a visualized user interface.
图中仅示出了具有部件的电子设备，本领域技术人员可以理解的是，图中示出的结构并不构成对所述电子设备的限定，可以包括比图示更少或者更多的部件，或者组合某些部件，或者不同的部件布置。The figures only show an electronic device with components. Those skilled in the art can understand that the structure shown in the figures does not limit the electronic device, which may include fewer or more components than shown in the figures. , or combining certain components, or different component arrangements.
例如，尽管未示出，所述电子设备还可以包括给各个部件供电的电源(比如电池)，优选地，电源可以通过电源管理装置与所述至少一个处理器10逻辑相连，从而通过电源管理装置实现充电管理、放电管理、以及功耗管理等功能。电源还可以包括一个或一个以上的直流或交流电源、再充电装置、电源故障检测电路、电源转换器或者逆变器、电源状态指示器等任意组件。所述电子设备还可以包括多种传感器、蓝牙模块、Wi-Fi模块等，在此不再赘述。For example, although not shown, the electronic device may also include a power supply (such as a battery) that supplies power to various components. Preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so that the power supply may be logically connected to the at least one processor 10 through a power management device. Realize functions such as charging management, discharge management, and power consumption management. The power supply may also include one or more DC or AC power supplies, recharging devices, power failure detection circuits, power converters or inverters, power status indicators and other arbitrary components. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described again here.
应该了解，所述实施例仅为说明之用，在专利申请范围上并不受此结构的限制。It should be understood that the above embodiments are for illustration only, and the scope of the patent application is not limited by this structure.
所述电子设备1中的所述存储器11存储的智能无人交付程序是多个指令的组合，在所述处理器10中运行时，可以实现：The intelligent unmanned delivery program stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When run in the processor 10, it can realize:
获取用户的活体信息，根据所述活体信息进行信息识别，得到用户认证结果；Obtain the user's biological information, perform information identification based on the biological information, and obtain the user authentication result;
根据所述用户认证结果进行预约信息查询，得到预约商品；Perform reservation information query according to the user authentication result to obtain reserved products;
根据所述用户预约商品进行货物识别，得到货物信息；Carry out cargo identification according to the user's reserved commodities and obtain cargo information;
根据所述货物信息控制预设的交付装置执行货物交付。Control the preset delivery device to perform cargo delivery according to the cargo information.
具体地，所述处理器10对上述指令的具体实现方法可参考附图对应实施例中相关步骤的描述，在此不赘述。Specifically, for the specific implementation method of the above instructions by the processor 10, please refer to the description of the relevant steps in the corresponding embodiments in the accompanying drawings, which will not be described again here.
进一步地，所述电子设备1集成的模块/单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读存储介质中。所述计算机可读存储介质可以是易失性的，也可以是非易失性的。例如，所述计算机可读介质可以包括：能够携带所述计算机程序代码的任何实体或装置、记录介质、U盘、移动硬盘、磁碟、光盘、计算机存储器、只读存储器(ROM，Read-Only Memory)。Furthermore, if the integrated modules/units of the electronic device 1 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM, Memory).
本发明还提供一种计算机可读存储介质，所述可读存储介质存储有计算机程序，所述计算机程序在被电子设备的处理器所执行时，可以实现：The present invention also provides a computer-readable storage medium. The readable storage medium stores a computer program. When executed by a processor of an electronic device, the computer program can realize:
获取用户的活体信息，根据所述活体信息进行信息识别，得到用户认证结果；Obtain the user's biological information, perform information identification based on the biological information, and obtain the user authentication result;
根据所述用户认证结果进行预约信息查询，得到预约商品；Perform reservation information query according to the user authentication result to obtain reserved products;
根据所述用户预约商品进行货物识别，得到货物信息；Carry out cargo identification according to the user's reserved commodities and obtain cargo information;
根据所述货物信息控制预设的交付装置执行货物交付。Control the preset delivery device to perform cargo delivery according to the cargo information.
在本发明所提供的几个实施例中，应该理解到，所揭露的设备，装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述模块的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式。In the several embodiments provided by the present invention, it should be understood that the disclosed equipment, devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.
所述作为分离部件说明的模块可以是或者也可以不是物理上分开的，作为模块显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
另外，在本发明各个实施例中的各功能模块可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用硬件加软件功能模块的形式实现。In addition, each functional module in various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of hardware plus software function modules.
对于本领域技术人员而言，显然本发明不限于上述示范性实施例的细节，而且在不背离本发明的精神或基本特征的情况下，能够以其他的具体形式实现本发明。It is obvious to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.
因此，无论从哪一点来看，均应将实施例看作是示范性的，而且是非限制性的，本发明的范围并不仅依据上述说明进行限定，因此旨在将落在保护范围内的等同要件的含义和范围内的所有变化涵括在本发明内。Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is not limited only based on the above description, and therefore it is intended that equivalents falling within the scope of protection should be considered. All changes within the meaning and scope of the requirements are included in the present invention.
本申请实施例可以基于人工智能技术对相关的数据进行获取和处理。其中，人工智能(Artificial Intelligence，AI)是利用数字计算机或者数字计算机控制的机器模拟、延伸和扩展人的智能，感知环境、获取知识并使用知识获得最佳结果的理论、方法、技术及应用系统。The embodiments of this application can obtain and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or digital computer-controlled machines to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. .
此外，显然“包括”一词不排除其他单元或步骤，单数不排除复数。系统中陈述的多个单元或装置也可以由一个单元或装置通过软件或者硬件来实现。第一、第二等词语用来表示名称，而并不表示任何特定的顺序。Furthermore, it is clear that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. Multiple units or devices stated in the system may also be implemented by one unit or device through software or hardware. The words first, second, etc. are used to indicate names and do not indicate any specific order.
最后应说明的是，以上实施例仅用以说明本发明的技术方案而非限制，尽管参照较佳实施例对本发明进行了详细说明，本领域的普通技术人员应当理解，可以对本发明的技术方案进行修改或等同替换，而不脱离本发明技术方案的精神和范围。Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified. Modifications or equivalent substitutions may be made without departing from the spirit and scope of the technical solution of the present invention.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311626547.8ACN117576832A (en) | 2023-11-30 | 2023-11-30 | An intelligent unmanned delivery method, device, electronic equipment and storage medium |
| Application Number | Priority Date | Filing Date | Title |
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| CN202311626547.8ACN117576832A (en) | 2023-11-30 | 2023-11-30 | An intelligent unmanned delivery method, device, electronic equipment and storage medium |
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| CN117576832Atrue CN117576832A (en) | 2024-02-20 |
| Application Number | Title | Priority Date | Filing Date |
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| CN202311626547.8APendingCN117576832A (en) | 2023-11-30 | 2023-11-30 | An intelligent unmanned delivery method, device, electronic equipment and storage medium |
| Country | Link |
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| CN (1) | CN117576832A (en) |
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