TWM584937U - Customer identification device - Google Patents
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- TWM584937U TWM584937U TW108202963U TW108202963U TWM584937U TW M584937 U TWM584937 U TW M584937U TW 108202963 U TW108202963 U TW 108202963U TW 108202963 U TW108202963 U TW 108202963U TW M584937 U TWM584937 U TW M584937U
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Abstract
本創作為一種客戶辨識裝置,包括一取像器以擷取使用者影像至處理器中,使其擷取使用者影像的使用者特徵資訊,並搜尋資料庫中對應使用者特徵資訊的使用者資訊,以根據使用者資訊搜尋出對應的商品資訊,並在顯示器中顯示;但是當處理器未擷取到對應使用者特徵資訊的使用者資訊時,則將使用者特徵資訊儲存於資料庫中,以成為一新使用者資訊。本創作可自動記錄不同消費者的人臉影像,即使未建立會員資料,仍可推薦適合的商品資訊給消費者,或取得消費者的購物商品紀錄,以輔助店家辨識消費者喜好。 This creation is a customer identification device, which includes an image capturer to capture user images into the processor, so as to capture user characteristic information of the user image, and search for users in the database corresponding to the user characteristic information. Information to search for corresponding product information based on user information and display it on the display; but when the processor does not capture user information corresponding to the user characteristic information, the user characteristic information is stored in the database To become a new user. This creation can automatically record the face images of different consumers. Even if member information is not established, it can still recommend suitable product information to consumers, or obtain consumers' shopping product records to help stores identify consumer preferences.
Description
本創作係有關一種數據處理技術,特別是指一種不需建立會員即可透過影像辨識客戶之客戶辨識裝置。 This creation is about a data processing technology, especially a customer identification device that can identify customers through images without the need to create a member.
廣告的播放方式大致可分為以下三類:1.傳統電視廣告;2.網路推播廣告;3.實體店家中電視牆的廣告。傳統電視廣告係由廣告商業者向電視台購買廣告時間,令廣告於電視平台上播放,但過去電視廣告無法針對個人播放對應有興趣的廣告,因此許多使用者會在廣告時間時轉台,以尋找更有趣的內容,因而降低了電視廣告的效益。 Advertisement playback methods can be roughly divided into the following three categories: 1. Traditional TV ads; 2. Internet push ads; 3. Advertising on the TV wall in physical stores. Traditional TV advertisements are purchased by commercials from TV stations, so that the ads can be played on TV platforms. However, in the past, TV advertisements could not be used to show ads that are of interest to individuals. Therefore, many users will switch to the station during advertising hours to find more Interesting content that reduces the effectiveness of TV commercials.
網路推播廣告的起源在於,隨著網路科技逐漸發達,幾乎每個人都有屬於自己的一台電腦,因此商家們為提高廣告效益,逐漸發展出針對個人電腦使用廣告推播技術,以推播個人化的廣告資訊給相應的消費者。 The origin of online advertising is that with the development of Internet technology, almost everyone has their own computer. Therefore, in order to improve advertising effectiveness, businesses have gradually developed the use of advertising technology for personal computers. Promote personalized advertising information to corresponding consumers.
實體店家中電視牆的廣告,則係針對到店內消費的客人,不斷撥放店家內商品的廣告,雖比過去傳統電視廣告的針對性高,但電視牆中的廣告仍無法準確地針對個人推薦對應的廣告資訊,因此廣告的效益仍然有限。 The advertisements on the TV wall in the physical store are aimed at the customers who spend in the store. The advertisements of the products in the store are continuously displayed. Although the advertisements on the TV wall are more targeted than the traditional TV ads in the past, the ads on the TV wall still cannot accurately target individuals. Recommend corresponding advertising information, so the effectiveness of advertising is still limited.
雖然目前部分實體店家中已有引入廣告裝置,藉由拍攝人臉來登入會員,使廣告裝置可推薦對應的商品資訊給消費者,但在登入會員之前,消費者需事先建立會員資料,如建立消費者的人臉影像、消費者聯絡資訊或對應消費者持有的感應卡片編號等資料,往後消費者才可透過人臉或感應卡片登入會員,令廣告裝置推薦對應的商品資訊給消費者;但若未加入會員,廣告裝置 則完全無法辨識目前消費者的身份,因此無法針對個人推薦對應的廣告,缺乏人性化設計。再者,消費者在加入會員時,在建立會員資料時,相當耗費消費者的時間,缺乏人性化。 Although advertising devices have been introduced in some brick-and-mortar stores, members can be logged in by taking pictures of people's faces, so that the advertising devices can recommend corresponding product information to consumers. Before logging in to the membership, consumers need to create membership information in advance. Consumer ’s face image, consumer contact information, or corresponding card number held by the consumer, etc. The consumer can log in to the member through the face or the sensor card, so that the advertising device recommends the corresponding product information to the consumer ; But if not a member, the advertising device It is impossible to identify the identity of the current consumer, so it is impossible to recommend corresponding ads for individuals, lacking a humanized design. In addition, when consumers join the membership, when they create membership information, they spend a lot of time and lack humanity.
有鑑於此,本創作遂針對上述習知技術之缺失,提出一種客戶辨識裝置,以有效克服上述之該等問題。 In view of this, the author proposes a customer identification device in order to effectively overcome the above-mentioned problems in view of the lack of the above-mentioned conventional technologies.
本創作之主要目的在提供一種客戶辨識裝置,其可自動記錄不同消費者的人臉影像,即使消費者未建立會員資料,仍可利用過去歷史紀錄的人臉影像資料辨識出消費者,以推薦適合的商品資訊給消費者。 The main purpose of this creation is to provide a customer recognition device that can automatically record the face images of different consumers. Even if the consumer has not established membership information, he can still use the face image data of past historical records to identify consumers and recommend them. Suitable product information to consumers.
本創作之另一目的在提供一種客戶辨識裝置,其可自動記錄不同消費者的人臉影像,即使消費者未建立會員資料,仍可辨識出消費者,以取得消費者過去的購物商品紀錄,以輔助服務人員辨識消費者的喜好以及要求。 Another purpose of this creation is to provide a customer identification device that can automatically record the face images of different consumers. Even if the consumer does not establish membership information, the consumer can still be identified in order to obtain the consumer's past shopping product records. To help service personnel identify consumer preferences and requirements.
為達上述之目的,本創作係提供一種客戶辨識裝置,包括至少一取像器可擷取一使用者影像;至少一資料庫內存有複數使用者資訊;至少一處理器電性連接取像器及資料庫,處理器接收取像器之使用者影像,以擷取使用者影像中的使用者特徵資訊,並搜尋資料庫中的複數使用者資訊,當處理器在資料庫中擷取到對應使用者特徵資訊的使用者資訊時,則根據使用者資訊搜尋出對應的至少一商品資訊;當處理器在資料庫中未擷取到對應使用者特徵資訊的使用者資訊時,則將使用者特徵資訊儲存於資料庫中,以成為一新使用者資訊;以及至少一顯示器電性連接處理器以接收商品資訊,並顯示商品資訊。 In order to achieve the above purpose, the present invention provides a customer identification device, which includes at least one image pickup device capable of capturing a user image; at least one database contains a plurality of user information; and at least one processor is electrically connected to the image pickup device. And database, the processor receives the user image of the imager to capture the user characteristic information in the user image, and searches for the plurality of user information in the database. When the processor obtains the corresponding information in the database, When the user information of the user characteristic information is used, the corresponding at least one product information is searched according to the user information; when the processor does not retrieve the user information corresponding to the user characteristic information in the database, the user is The characteristic information is stored in the database to become a new user information; and at least one display is electrically connected to the processor to receive the product information and display the product information.
客戶辨識裝置更包括至少一傳輸器,電性連接處理器以及顯示器,處理器可透過傳輸器將商品資訊傳遞至顯示器中。 The customer identification device further includes at least one transmitter, which is electrically connected to the processor and a display. The processor can transmit the product information to the display through the transmitter.
其中資料庫中的每一使用者資訊分別包括使用者特徵資訊及對應的至少一商品紀錄資訊,當處理器在使用者資訊中搜尋出符合使用者特徵資 訊的使用者資訊後,處理器可取得使用者資訊的商品紀錄資訊,以根據商品紀錄資訊搜尋出對應的商品資訊。 Each user information in the database includes user characteristic information and corresponding at least one product record information. When the processor searches the user information for information matching the user characteristic information After the user information is received, the processor may obtain the product record information of the user information to search for corresponding product information based on the product record information.
其中處理器在建立新使用者資訊時,更可加入使用者瀏覽商品之商品瀏覽紀錄至新使用者資訊中,以產生一新商品紀錄資訊至該新使用者資訊中。 When the processor creates the new user information, the processor may further add the product browsing history of the user browsing the product to the new user information to generate a new product record information into the new user information.
茲為使 貴審查委員對本創作之結構特徵及所達成之功效更有進一步之瞭解與認識,謹佐以較佳之實施例圖及配合詳細之說明,說明如後。 In order to make your reviewing members have a better understanding and understanding of the structural features of this creation and the effects achieved, I would like to refer to the preferred embodiment diagrams and detailed descriptions, as described below.
1‧‧‧客戶辨識裝置 1‧‧‧Customer identification device
10‧‧‧取像器 10‧‧‧Image picker
12‧‧‧資料庫 12‧‧‧Database
14‧‧‧處理器 14‧‧‧ processor
16‧‧‧顯示器 16‧‧‧ Display
20‧‧‧機台 20‧‧‧machine
3‧‧‧客戶辨識裝置 3‧‧‧Customer identification device
30‧‧‧取像器 30‧‧‧Image picker
32‧‧‧資料庫 32‧‧‧Database
34‧‧‧處理器 34‧‧‧ processor
36‧‧‧顯示器 36‧‧‧ Display
38‧‧‧傳輸器 38‧‧‧Transmitter
第一圖係為本創作之裝置立體圖。 The first picture is a perspective view of the installation.
第二圖係為本創作之裝置方塊圖。 The second picture is the block diagram of the installation of this creation.
第三圖係為本創作裝置所應用之方法流程圖。 The third diagram is a flowchart of the method applied by the authoring device.
第四圖係為本創作另一實施例之裝置立體示意圖。 The fourth figure is a schematic perspective view of a device according to another embodiment of the present invention.
第五圖係為本創作另一實施例之裝置方塊圖。 The fifth figure is a block diagram of a device according to another embodiment of the present invention.
本創作係為一種不需建立會員即可辨識客戶之技術,當該客戶為熟客時,即能有效擷取該客戶過去的購物紀錄等,以提供後續推薦商品以及輔助服務人員辨識消費者的喜好及要求等需求。 This creation is a technology that can identify customers without the need to establish a member. When the customer is a regular customer, it can effectively capture the customer's past shopping records, etc., to provide follow-up recommended products and assist service personnel to identify consumer preferences. And requirements.
首先說明本創作之裝置,請參照第一圖與第二圖,本創作之客戶辨識裝置1包括,一機台20可擺置在商家內,令客戶靠近操作機台20來取得商家內的商品資訊,機台20上安裝有一取像器10、一資料庫12、一處理器14以及一顯示器16,其中本實施例機台20之資料庫12中更存有各種不同的商品資訊,以 提供給處理器14,令處理器14將商品資訊給顯示器16顯示,以提供商家內消費的客戶可藉由客戶辨識裝置1瀏覽不同商品的資訊,令客戶透過顯示器16瀏覽商品。 First explain the device of this creation. Please refer to the first and second figures. The customer identification device 1 of this creation includes a machine 20 that can be placed in the merchant, so that the customer can approach the machine 20 to obtain the goods in the merchant. Information, an image pickup device 10, a database 12, a processor 14, and a display 16 are installed on the machine 20. The database 12 of the machine 20 of this embodiment further stores various kinds of product information, It is provided to the processor 14 to cause the processor 14 to display the commodity information to the display 16 so as to provide customers who consume within the merchant to browse the information of different commodities through the customer identification device 1 so that the customers can browse the commodities through the display 16.
請持續參照第一圖與第二圖,以詳細說明客戶辨識裝置1之結構,本實施例舉例取像器10以及顯示器16皆設置在機台20表面,且取像器10設置在顯示器16上方,取像器10可為攝影機以拍攝擷取至少一使用者之使用者影像,其中使用者影像可為使用者臉部的影像。資料庫12以及處理器14則設置在機台20內,其中資料庫12內存有複數使用者資訊,每一使用者資訊包括有使用者特徵資訊及對應的至少一商品紀錄資訊,其中使用者特徵資訊可為利用歐幾里得距離(Euclidean Distance)分析使用者影像後所取得的數值;商品紀錄資訊則係使用者過去購買商品後之商品記錄,或使用者瀏覽商品資訊之商品瀏覽紀錄。處理器14則電性連接取像器10、資料庫12以及顯示器16,以處理使用者影像並對應控制取像器10、資料庫12以及顯示器16。 Please continue to refer to the first and second figures to describe the structure of the customer identification device 1 in detail. In this embodiment, for example, the image pickup device 10 and the display 16 are disposed on the surface of the machine 20, and the image pickup device 10 is disposed above the display 16. The imager 10 can be a camera to capture and capture a user image of at least one user, wherein the user image can be an image of a user's face. The database 12 and the processor 14 are arranged in the machine 20, wherein the database 12 stores a plurality of user information, and each user information includes user characteristic information and corresponding at least one product record information, among which the user characteristics The information can be the value obtained by analyzing the user's image by using Euclidean Distance; the product record information is the product record of the user after purchasing the product in the past, or the product browsing record of the user browsing the product information. The processor 14 is electrically connected to the image pickup device 10, the database 12 and the display 16 to process user images and control the image pickup device 10, the database 12 and the display 16 correspondingly.
在說明完本創作客戶辨識裝置1之結構後,接下來說明本創作之裝置使用時的方法流程。請配合參照第一圖至第三圖,首先進入步驟S10,當使用者站立於機台20前,取像器10可對應拍攝到使用者的臉部,令取像器10擷取到使用者臉部的使用者影像,接著取像器10將拍攝到的使用者影像傳遞至處理器14中。接著進入步驟S12,處理器14接收到使用者影像後,對使用者影像進行角度的校正,例如將人臉轉正,以及色彩校正,並濾除使用者特徵資訊之雜訊等,再利用歐幾里得距離(Euclidean Distance)分析擷取使用者影像,以擷取出使用者特徵資訊。接著進入步驟S14,處理器14搜尋資料庫12中的複數使用者資訊中,是否具對應使用者特徵資訊的使用者資訊,在上述已有提到每一個使用者資訊內包括有使用者特徵資訊,以及對應的商品紀錄資訊,因此步驟S14的步驟則可根據判斷是否有相同的使用者特徵資訊,來取得對應的使用者資訊,若步 驟S14判斷為是,則進入步驟S16,處理器14擷取出包含該使用者特徵資訊的使用者資訊,並將該使用者特徵資訊存入對應的使用者資訊中,以提升往後影像辨識的精準度,且該使用者資訊內包括有商品紀錄資訊,因此可根據商品紀錄資訊得知該使用者過去所購買或瀏覽過的商品,此時處理器14就可根據商品紀錄資訊搜尋出對應的商品資訊,並將商品資訊傳遞至顯示器16中顯示;詳細來說,若根據商品紀錄資訊得知,該使用者過去曾經買洗髮乳,此時處理器14就可以推薦不同品牌的洗髮乳,或類似商品的商品,如沐浴乳等商品資訊到顯示器16中顯示給使用者參考。但若步驟S14時,為否,處理器14判斷資料庫12中沒有對應的使用者資訊時,則進入步驟S18,處理器14會將使用者特徵資訊儲存於資料庫12中,以成為一新使用者資訊,當然這位新使用者很可能會瀏覽機台上20原本顯示的商品資訊,此時處理器14即可加入該新使用者所瀏覽過商品之商品瀏覽紀錄至新使用者資訊中,以產生一新商品紀錄資訊至新使用者資訊中。往後該新使用者再次被客戶辨識裝置1擷取使用者影像時,客戶辨識裝置1就可以根據資料庫12中所儲存的新使用者資訊辨識出該新使用者的臉孔。 After explaining the structure of the client identification device 1 of the author, the method flow when the author device is used is explained next. Please refer to the first to third figures in cooperation. First, the process proceeds to step S10. When the user stands in front of the machine 20, the imager 10 can correspondingly capture the user's face, so that the imager 10 can capture the user. The image of the user on the face is then passed by the imager 10 to the processor 14. Then it proceeds to step S12. After receiving the user image, the processor 14 performs angle correction on the user image, such as normalizing the face and color correction, and filtering out noise of the user's characteristic information. Euclidean Distance analysis captures user images to capture user feature information. Then, the method proceeds to step S14. The processor 14 searches the plurality of user information in the database 12 for user information corresponding to the user characteristic information. Each of the user information mentioned above includes the user characteristic information. , And the corresponding product record information, so step S14 can obtain corresponding user information according to the determination of whether there is the same user characteristic information. If it is determined as yes in step S14, the process proceeds to step S16, and the processor 14 extracts the user information including the user characteristic information, and stores the user characteristic information in the corresponding user information, so as to improve the image recognition Accuracy, and the user information includes product record information, so the user can know the products that the user has purchased or viewed in the past based on the product record information, and the processor 14 can then search for the corresponding product according to the product record information. The product information is transmitted to the display 16 for display; in detail, if it is known from the product record information that the user has bought shampoo in the past, the processor 14 can recommend shampoos of different brands at this time. Or similar products, such as bath milk and other product information, are displayed on the display 16 for the user's reference. However, if it is not in step S14, if the processor 14 determines that there is no corresponding user information in the database 12, it proceeds to step S18, and the processor 14 stores the user characteristic information in the database 12 to become a new one. User information, of course, this new user is likely to browse the product information originally displayed on the machine 20, at this time the processor 14 can add the product browsing history of the product viewed by the new user to the new user information To generate a new product record information into the new user information. In the future, when the new user captures the user image again by the customer recognition device 1, the customer recognition device 1 can recognize the face of the new user according to the new user information stored in the database 12.
接下來請參照第四圖以及第五圖,以說明本創作另一實施例,本創作客戶辨識裝置之結構除上述實施例,為一機台擺設在商店內之外,更可將取像器、處理器以及顯示器分開設置,詳述如下,如第四圖以及第五圖所示,本實施客戶辨識裝置2包括至少一取像器30、至少一資料庫32、至少一處理器34、至少一顯示器36以及至少一傳輸器38,其中取像器30、資料庫32以及傳輸器38皆電性連接處理器34,顯示器36則電性連接傳輸器38。本實施例之取像器30係為攝影機,且設置在商店的門口,處理器34、資料庫32以及傳輸器38皆設置在櫃台端,其中處理器34、資料庫32以及傳輸器38可為一計算機中的設備,其中傳輸器38可為通訊傳輸器;顯示器36則為使用者持有的行動通訊裝置之顯示器,如智慧型手機之顯示器。當使用者拍攝進入商家時,取像器30則可拍攝 進入商家的使用者影像,並將使用者影像傳遞給設置在櫃檯端的處理器34,接著處理器34即可根據使用者影像,判斷使用者的臉孔以新增使用者資訊或產生對應推薦的商品資訊,其中新增使用者資訊及產生對應商品資訊之步驟與上述實施例相同,故不重複敘述。 Next, please refer to the fourth figure and the fifth figure to explain another embodiment of this creation. In addition to the above embodiment, the structure of the customer identification device of this creation is a machine placed in the store. The processor, and display are set separately, as detailed below. As shown in the fourth and fifth figures, the customer identification device 2 in this embodiment includes at least one image picker 30, at least one database 32, at least one processor 34, and at least A display 36 and at least one transmitter 38, wherein the image pickup device 30, the database 32 and the transmitter 38 are electrically connected to the processor 34, and the display 36 is electrically connected to the transmitter 38. The image pickup device 30 in this embodiment is a camera and is installed at the entrance of a store. The processor 34, the database 32, and the transmitter 38 are all disposed at the counter. The processor 34, the database 32, and the transmitter 38 may be A device in a computer, in which the transmitter 38 can be a communication transmitter; the display 36 is a display of a mobile communication device held by a user, such as a display of a smart phone. When the user enters the store, the camera 30 can take pictures. Enter the user image of the merchant and pass the user image to the processor 34 set at the counter. Then the processor 34 can judge the user's face based on the user image to add user information or generate corresponding recommendations. The product information, in which the steps of adding user information and generating corresponding product information are the same as the above embodiment, so the description is not repeated.
本實施例與上述實施例不同之處在於,當處理器34產生對應推薦的商品資訊後,透過會傳輸器38將商品資訊傳遞至顯示器36中顯示,也就是使用者的行動通訊裝置之顯示器,因此該使用者即可透過行動通訊裝置得知商家所推薦的商品資訊,以獲得良好的廣告效益。除此之外,處理器34更可透過傳輸器38傳遞該使用者的使用者資訊至商家的行動通訊裝置之顯示器中,令商家店員可由使用者資訊取得該使用者過去的購物商品紀錄,以輔助商家店員辨識使用者的喜好及要求,令商家可提供更貼近使用者的客製化服務。 This embodiment is different from the above embodiment in that after the processor 34 generates corresponding recommended product information, the product information is transmitted to the display 36 through the conference transmitter 38 for display, that is, the display of the user's mobile communication device. Therefore, the user can know the product information recommended by the merchant through the mobile communication device, so as to obtain good advertising effectiveness. In addition, the processor 34 can transmit the user's user information to the display of the merchant's mobile communication device through the transmitter 38, so that the clerk of the merchant can obtain the user's past shopping product records from the user information by Assist store clerks to identify user preferences and requirements, so that businesses can provide customized services closer to users.
綜上所述,本創作可自動記錄不同消費者的人臉影像,即使消費者未建立會員資料,仍可利用過去歷史人臉影像資料辨識出消費者,以推薦適合的商品資訊給消費者,且透過人臉影像辨識亦可取得消費者過去的購物商品紀錄,以輔助服務人員辨識消費者的喜好及要求。以點餐系統來說,利用本創作之技術,不須事先註冊成會員,只需要利用人臉影像辨識,即可判斷消費者的臉孔,並可記錄消費者的點餐資訊,當該消費者下次再度光臨點餐時,本創作之技術即可根據上次的點餐資訊,推薦類似餐點。同時本創作更可協助服務人員辨識常客,並帶出來客上次到訪資訊以及用餐習慣等,提供更貼近顧客的客製化服務,例如顧客的餐點偏好、是否曾對某些食材過敏、牛排熟度等等資訊。 In summary, this creation can automatically record the face images of different consumers. Even if the consumer does not create membership information, he can still use past historical face image data to identify consumers and recommend suitable product information to consumers. And through the face image recognition, consumers can also get the past records of shopping products to assist service personnel to identify consumer preferences and requirements. For the ordering system, using the technology of this creation, you do not need to register as a member in advance. You only need to use face image recognition to determine the face of the consumer and record the ordering information of the consumer. The next time a visitor comes to order, the technique of this creation can recommend similar meals based on the last order information. At the same time, this creation can help service personnel to identify frequent customers, and bring out information about customers 'last visits and dining habits, etc., and provide customized services that are closer to customers, such as customers' meal preferences, whether they have allergies to certain ingredients, Steak maturity and more.
唯以上所述者,僅為本創作之較佳實施例而已,並非用來限定本創作實施之範圍。故即凡依本創作申請範圍所述之特徵及精神所為之均等變化或修飾,均應包括於本創作之申請專利範圍內。 The above are only the preferred embodiments of this creation, and are not used to limit the scope of this creation. Therefore, all equal changes or modifications based on the characteristics and spirit described in the scope of the application for this creation shall be included in the scope of the patent application for this creation.
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CN111950364A (en) * | 2020-07-07 | 2020-11-17 | 北京思特奇信息技术股份有限公司 | System and method for identifying face of tens of millions of base libraries in different libraries |
CN111950364B (en) * | 2020-07-07 | 2024-03-22 | 北京思特奇信息技术股份有限公司 | System and method for identifying library-separating face of tens of millions of libraries |
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