CN112597382A - Personnel tracking system for unmanned store - Google Patents
Personnel tracking system for unmanned store Download PDFInfo
- Publication number
- CN112597382A CN112597382A CN202011440610.5A CN202011440610A CN112597382A CN 112597382 A CN112597382 A CN 112597382A CN 202011440610 A CN202011440610 A CN 202011440610A CN 112597382 A CN112597382 A CN 112597382A
- Authority
- CN
- China
- Prior art keywords
- user
- path
- information
- time
- walking
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012163 sequencing technique Methods 0.000 claims abstract description 23
- 238000012216 screening Methods 0.000 claims abstract description 10
- 210000003205 muscle Anatomy 0.000 claims description 12
- 230000008921 facial expression Effects 0.000 claims description 11
- 230000014759 maintenance of location Effects 0.000 claims description 6
- 238000000034 method Methods 0.000 description 8
- 230000001934 delay Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 235000013580 sausages Nutrition 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 235000008429 bread Nutrition 0.000 description 1
- 230000004438 eyesight Effects 0.000 description 1
- 239000008267 milk Substances 0.000 description 1
- 210000004080 milk Anatomy 0.000 description 1
- 235000013336 milk Nutrition 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
-
- 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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0255—Targeted advertisements based on user history
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
- G06V40/176—Dynamic expression
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Business, Economics & Management (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Multimedia (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Social Psychology (AREA)
- Automation & Control Theory (AREA)
- Psychiatry (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a personnel tracking system for an unmanned store, which comprises: acquiring image or video information and time in an unmanned store; screening contained mobile information according to the image or video information; screening character features according to the mobile information contained in the acquired time period; sequencing the acquired character features according to a time sequence, and distinguishing the distinguished character features one by one; combining the character characteristics and the time information, and matching the character characteristics and the time information with a full path prestored in the unmanned store to obtain walking paths corresponding to the character characteristics respectively; when a user enters the unmanned store, the information of the user can be extracted according to the character characteristics of the user, and the path planning is carried out according to the moving time and the moving position of the user, so that the shopping preference of the user can be further judged through the path planning, and the judgment result is fed back to the user, so that the user can conveniently find the articles to be purchased as soon as possible, and the user is guided to finish shopping and leave the store as soon as possible.
Description
Technical Field
The invention relates to the technical field of unmanned stores, in particular to a personnel tracking system for an unmanned store.
Background
The unmanned store/convenience store refers to all or part of operation processes in the store, carries out intelligent automatic processing by technical means, and reduces or does not have manual intervention;
at present, most of unmanned stores are built in public places with dense people streams, such as airports, stations and the like, and under the condition that the travel of passengers is short, necessary living goods need to be purchased.
Disclosure of Invention
The invention provides a personnel tracking system of an unmanned store, which is used for extracting information of a user according to the character characteristics of the user when the user enters the unmanned store, planning a path according to the moving time and the moving position of the user, further judging the shopping preference of the user through the path planning, and feeding back the judgment result to the user, so that the user can find an article to be purchased as soon as possible, and the user is guided to finish shopping and leave the store as soon as possible.
The invention provides a personnel tracking system for an unmanned store, which comprises:
acquiring image or video information and time in an unmanned store;
screening contained mobile information according to the image or video information;
screening character features according to the mobile information contained in the acquired time period;
sequencing the acquired character features according to a time sequence, and distinguishing the distinguished character features one by one;
combining the character characteristics and the time information, and matching the character characteristics and the time information with a full path prestored in the unmanned store to obtain walking paths corresponding to the character characteristics respectively;
marking the walking path in the full path, and marking each shopping area in the full path;
and obtaining multi-path plans of a plurality of areas according to the shopping areas and the positions of the users in the whole path, and presenting the multi-path plans on the user terminal.
Preferably, the method further comprises the following steps:
determining user information according to the character characteristics;
acquiring past shopping records of the user information, and acquiring shopping preferences of the user according to the past shopping records;
and recommending the matched commodities in the unmanned store according to the shopping preference of the user.
Preferably, a plurality of matched commodities exist and are classified according to the plurality of matched commodities;
obtaining the positions of a plurality of classified commodities according to the classification result;
performing a plurality of path plans according to the position of the user and the positions of a plurality of classified commodities;
and sequencing the plurality of path plans, and sequentially arranging and displaying the path plans with the highest matching degree on the user terminal.
Preferably, the character features include a plurality of facial expressions, the facial expressions including changes in eye muscles, face muscles and mouth muscles;
acquiring the moving time and the path change state in the path planning of a user;
carrying out new shopping path matching on the user according to the moving time, the path change state and the facial expression;
or displaying the whole path prestored by the unmanned shop to the user terminal of the user.
Preferably, obtaining the walking time in N distances in the walking path to obtain Tn walking times in the N distances;
sequencing according to the walking time;
extracting a distance with the longest retention time in the sequencing result;
obtaining the position of a shelf and the type of a commodity at a distance with the longest retention time;
according to the shelf position and the commodity type, matching the commodity type corresponding to the shelf position which is closest to the shelf position and has the category closest to the longest user residence time;
and sending the matching result to the user terminal.
Preferably, the walking speed of the user in the unmanned shop is obtained according to the walking path of the user;
dividing a walking path of a user into a plurality of road sections, and sequencing the walking speeds of the plurality of road sections from high to low;
marking the road section with the highest traveling speed in the plurality of road sections;
and the road section marked as the fastest walking speed is removed from the planned route.
Preferably, a plurality of goods shelves are arranged in the unmanned store, a display screen is uniformly arranged on each goods shelf, and a high-frequency card reader is arranged in each display screen or each shopping cart; the commodities on the goods shelf are all provided with RFID labels; the high-frequency card reader is used for reading the RFID label;
and when the user stays near any shelf for more than M minutes, the high-frequency card reader displays the read RFID label information on a display screen for the user to check.
Preferably, whether the user pays the account is judged by combining the full path information according to the walking path and the walking speed;
if the user accounts settlement is judged, sequencing the working states of the account settling tables and finding out an idle account settlement channel;
and matching the checkout path according to the current position information of the user and the idle checkout channel, and displaying the checkout path result on the user terminal.
The working principle and the beneficial effects of the invention are as follows:
the invention provides a personnel tracking system for an unmanned store, which comprises:
acquiring image or video information and time in an unmanned store;
screening contained mobile information according to the image or video information;
screening character features according to the mobile information contained in the acquired time period;
sequencing the acquired character features according to a time sequence, and distinguishing the distinguished character features one by one;
combining the character characteristics and the time information, and matching the character characteristics and the time information with a full path prestored in the unmanned store to obtain walking paths corresponding to the character characteristics respectively;
marking the walking path in the full path, and marking each shopping area in the full path;
and obtaining multi-path plans of a plurality of areas according to the shopping areas and the positions of the users in the whole path, and presenting the multi-path plans on the user terminal.
According to the invention, when a user enters the unmanned store, the information of the user can be extracted according to the character characteristics of the user, and the path planning is carried out according to the moving time and the moving position of the user, so that the shopping preference of the user can be further judged through the path planning, and the judgment result is fed back to the user, so that the user can find the articles to be purchased as soon as possible, and the user is guided to finish shopping and leave the store as soon as possible. The situation that a user stays in the unmanned store for a long time due to unfamiliarity with the shelf area of the unmanned store is reduced, and the situation that the user delays boarding or boarding due to the fact that the user stays in the unmanned store for a long time is further reduced, so that the situation of delaying journey is reduced; the selling efficiency of the unmanned shop is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of the present invention;
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
According to fig. 1, an embodiment of the present invention provides an unmanned store personnel tracking system, including:
acquiring image or video information and time in an unmanned store;
screening contained mobile information according to the image or video information;
screening character features according to the mobile information contained in the acquired time period;
sequencing the acquired character features according to a time sequence, and distinguishing the distinguished character features one by one;
combining the character characteristics and the time information, and matching the character characteristics and the time information with a full path prestored in the unmanned store to obtain walking paths corresponding to the character characteristics respectively;
marking the walking path in the full path, and marking each shopping area in the full path;
and obtaining multi-path plans of a plurality of areas according to the shopping areas and the positions of the users in the whole path, and presenting the multi-path plans on the user terminal.
According to the invention, when a user enters the unmanned store, the information of the user can be extracted according to the character characteristics of the user, and the path planning is carried out according to the moving time and the moving position of the user, so that the shopping preference of the user can be further judged through the path planning, and the judgment result is fed back to the user, so that the user can find the articles to be purchased as soon as possible, and the user is guided to finish shopping and leave the store as soon as possible. The situation that a user stays in the unmanned store for a long time due to unfamiliarity with the shelf area of the unmanned store is reduced, and the situation that the user delays boarding or boarding due to the fact that the user stays in the unmanned store for a long time is further reduced, so that the situation of delaying journey is reduced; the selling efficiency of the unmanned shop is improved.
In one embodiment, further comprising:
determining user information according to the character characteristics;
acquiring past shopping records of the user information, and acquiring shopping preferences of the user according to the past shopping records;
and recommending the matched commodities in the unmanned store according to the shopping preference of the user.
A plurality of matched commodities exist and are classified according to the matched commodities;
obtaining the positions of a plurality of classified commodities according to the classification result;
performing a plurality of path plans according to the position of the user and the positions of a plurality of classified commodities;
and sequencing the plurality of path plans, and sequentially arranging and displaying the path plans with the highest matching degree on the user terminal.
In the embodiment, if a user goes to the same or different unmanned stores to purchase a certain commodity once at intervals, when the user enters the unmanned stores again to select commodities, the commodity purchasing frequency of the user is obtained by calling the past shopping records of the user, so that a plurality of commodities with the highest purchasing rate are recommended for the user, a plurality of commodity shelves with higher purchasing rate are matched with the current position of the user, multiple path planning is realized, and the route information of the multiple path planning is displayed on a user terminal for the user to select;
if the user selects one of the commodity categories, corresponding navigation is carried out according to the path planning information corresponding to the selected commodity category, so that the user is guided to be capable of quickly finding the corresponding goods shelf, and the purpose of quickly shopping is achieved.
In one embodiment, the character features include a plurality of facial expressions, the facial expressions including changes in eye muscles, face muscles, and mouth muscles;
acquiring the moving time and the path change state in the path planning of a user;
carrying out new shopping path matching on the user according to the moving time, the path change state and the facial expression;
or displaying the whole path prestored by the unmanned shop to the user terminal of the user.
In the embodiment, the recognition is carried out according to the facial expression of the user, and whether the user is satisfied with the commodity placed on the shelf at the current position is judged by using the facial expression; if the mouth muscle is raised or the eye muscle is changed and the stay time of the face facing the shelf is recorded, if the mouth muscle is raised and the stay time of the face facing the shelf is longer than X minutes, the user is satisfied with the type of the goods on the shelf in the area, and then the similar goods of the user are further recommended according to the type of the goods on the shelf in the area;
marking the corresponding goods shelf and goods shelf position of the recommended similar goods, and planning a new recommended path according to the marked information and the current position of the user, so that the purpose that the user can select and purchase according to the recommended path in the shopping process is realized; the shopping efficiency is effectively improved, and meanwhile, the server can also send voice information to the user terminal, so that the purpose that the user with poor eyesight can carry out auxiliary shopping through voice is achieved.
In one embodiment, obtaining walking time in N distances in a walking path to obtain Tn walking times in the N distances;
sequencing according to the walking time;
extracting a distance with the longest retention time in the sequencing result;
obtaining the position of a shelf and the type of a commodity at a distance with the longest retention time;
according to the shelf position and the commodity type, matching the commodity type corresponding to the shelf position which is closest to the shelf position and has the category closest to the longest user residence time;
and sending the matching result to the user terminal.
Acquiring the walking speed of the user in the unmanned shop according to the walking path of the user;
dividing a walking path of a user into a plurality of road sections, and sequencing the walking speeds of the plurality of road sections from high to low;
marking the road section with the highest traveling speed in the plurality of road sections;
and the road section marked as the fastest walking speed is removed from the planned route.
In the embodiment, in the actual shopping process, if the user is not satisfied with the commodity at the current position or does not have the shopping requirement, the walking speed is usually obviously higher than that of the intended commodity; dividing a user into a plurality of small sections of walking paths according to the walking paths of the user in the unmanned store, counting the time of the plurality of small sections of walking paths, sequencing the time of each small section of walking path, and sequencing the time from long to short, thereby obtaining a shelf area with the longest stay time of the user in the walking path; and recommending matched commodities for the user according to the goods types in the shelf area, so as to plan a new recommended route for the matched commodity shelf.
Meanwhile, the flight or train information of the user can be acquired, so that the time for the user to choose or stay in the unmanned store and the departure time are monitored, prompt information is sent to the user terminal when the distance from the departure time or the departure time is short, and the user is reminded to settle accounts and leave the unmanned store as soon as possible.
In one embodiment, a plurality of shelves are arranged in the unmanned store, a display screen is uniformly arranged on each shelf, and a high-frequency card reader is arranged in each display screen or each shopping cart; the commodities on the goods shelf are all provided with RFID labels; the high-frequency card reader is used for reading the RFID label;
and when the user stays near any shelf for more than M minutes, the high-frequency card reader displays the read RFID label information on a display screen for the user to check.
Judging whether the user settles accounts or not by combining the full path information according to the walking path and the walking speed;
if the user accounts settlement is judged, sequencing the working states of the account settling tables and finding out an idle account settlement channel;
and matching the checkout path according to the current position information of the user and the idle checkout channel, and displaying the checkout path result on the user terminal.
In the embodiment, the time length of the user staying on a certain shelf is counted, and whether the shopping information is displayed in a display screen arranged on the corresponding shelf is judged according to the time length, so that the user is prompted which selected commodities are contained currently; the user is convenient to be prompted to repeatedly purchase the commodities in the same category for multiple times; prompting the user to check the purchased commodities in the process of purchasing the commodities so as to reduce the condition of missing purchase;
for example, at 7.00 a.m., a user enters an unmanned store by scanning a code and takes a piece of milk, a piece of sausage, when the user is on the sausage shelf; the path planning of recommending the shelf position containing bread can be carried out on the user, so that the user can intelligently and adaptively recommend commodities to the user in the commodity purchasing process;
after the user finishes purchasing, in the process of walking to the checkout channel, sequencing the working states of the checkout channel, and prompting the idle checkout channel, so that the user can conveniently achieve the purpose of checkout in the nearest checkout channel with the least people; the queuing time of the user in the checkout process is effectively reduced, particularly in places with dense pedestrian flows, such as stations or airports, the shopping time of the user is greatly saved, and the condition that the user delays boarding or boarding due to long-time queuing is reduced.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. An unmanned store personnel tracking system, comprising:
acquiring image or video information and time in an unmanned store;
screening contained mobile information according to the image or video information;
screening character features according to the mobile information contained in the acquired time period;
sequencing the acquired character features according to a time sequence, and distinguishing the distinguished character features one by one;
combining the character characteristics and the time information, and matching the character characteristics and the time information with a full path prestored in the unmanned store to obtain walking paths corresponding to the character characteristics respectively;
marking the walking path in the full path, and marking each shopping area in the full path;
and obtaining multi-path plans of a plurality of areas according to the shopping areas and the positions of the users in the whole path, and presenting the multi-path plans on the user terminal.
2. The automated store personnel tracking system of claim 1, further comprising:
determining user information according to the character characteristics;
acquiring past shopping records of the user information, and acquiring shopping preferences of the user according to the past shopping records;
and recommending the matched commodities in the unmanned store according to the shopping preference of the user.
3. The automated store personnel tracking system of claim 2, wherein a plurality of said matched items exist and are categorized according to a plurality of said matched items;
obtaining the positions of a plurality of classified commodities according to the classification result;
performing a plurality of path plans according to the position of the user and the positions of a plurality of classified commodities;
and sequencing the plurality of path plans, and sequentially arranging and displaying the path plans with the highest matching degree on the user terminal.
4. The unmanned store personnel tracking system of claim 3 wherein said character features comprise a plurality of facial expressions, said facial expressions comprising changes in eye muscles, face muscles and mouth muscles;
acquiring the moving time and the path change state in the path planning of a user;
carrying out new shopping path matching on the user according to the moving time, the path change state and the facial expression;
or displaying the whole path prestored by the unmanned shop to the user terminal of the user.
5. The automated store personnel tracking system of claim 2, wherein the travel times for N distances in the travel path are obtained, and Tn travel times for the N distances are obtained;
sequencing according to the walking time;
extracting a distance with the longest retention time in the sequencing result;
obtaining the position of a shelf and the type of a commodity at a distance with the longest retention time;
according to the shelf position and the commodity type, matching the commodity type corresponding to the shelf position which is closest to the shelf position and has the category closest to the longest user residence time;
and sending the matching result to the user terminal.
6. The unmanned shop personnel tracking system of claim 2, wherein the walking speed of the user in the unmanned shop is obtained from the walking path of the user;
dividing a walking path of a user into a plurality of road sections, and sequencing the walking speeds of the plurality of road sections from high to low;
marking the road section with the highest traveling speed in the plurality of road sections;
and the road section marked as the fastest walking speed is removed from the planned route.
7. The system for tracking people in an unmanned store according to claim 1, wherein a plurality of shelves are provided in the unmanned store, one of the shelves is provided with a display screen, and the display screen or a shopping cart is provided with a high-frequency card reader; the commodities on the goods shelf are all provided with RFID labels; the high-frequency card reader is used for reading the RFID label;
and when the user stays near any shelf for more than M minutes, the high-frequency card reader displays the read RFID label information on a display screen for the user to check.
8. The unmanned shop personnel tracking system of claim 1, wherein the determination of whether the user has settled accounts is made based on the walking path and the walking speed in combination with the full path information;
if the user accounts settlement is judged, sequencing the working states of the account settling tables and finding out an idle account settlement channel;
and matching the checkout path according to the current position information of the user and the idle checkout channel, and displaying the checkout path result on the user terminal.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011440610.5A CN112597382B (en) | 2020-12-10 | 2020-12-10 | Personnel tracking system for unmanned store |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011440610.5A CN112597382B (en) | 2020-12-10 | 2020-12-10 | Personnel tracking system for unmanned store |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112597382A true CN112597382A (en) | 2021-04-02 |
CN112597382B CN112597382B (en) | 2022-10-21 |
Family
ID=75192337
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011440610.5A Active CN112597382B (en) | 2020-12-10 | 2020-12-10 | Personnel tracking system for unmanned store |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112597382B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115856917A (en) * | 2023-02-27 | 2023-03-28 | 深圳市永泰光电有限公司 | Object identification system and method based on laser radar and camera |
CN116777348A (en) * | 2023-06-21 | 2023-09-19 | 深圳市昂捷信息技术股份有限公司 | Intelligent goods shelf management method, device, equipment and storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104933710A (en) * | 2015-06-10 | 2015-09-23 | 华南理工大学 | Intelligent analysis method of store people stream track on the basis of surveillance video |
CN105095987A (en) * | 2015-06-30 | 2015-11-25 | 北京奇虎科技有限公司 | Shopping navigation method, server for shopping navigation and client terminal |
CN107862557A (en) * | 2017-12-05 | 2018-03-30 | 英业达科技有限公司 | Customer's dynamic tracing system and method |
CN108520409A (en) * | 2018-03-28 | 2018-09-11 | 深圳正品创想科技有限公司 | A kind of express checkout method, apparatus and electronic equipment |
US20200005385A1 (en) * | 2018-06-29 | 2020-01-02 | Ghost House Technology, Llc | System, apparatus and method of item location, list creation, routing, imaging and detection |
-
2020
- 2020-12-10 CN CN202011440610.5A patent/CN112597382B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104933710A (en) * | 2015-06-10 | 2015-09-23 | 华南理工大学 | Intelligent analysis method of store people stream track on the basis of surveillance video |
CN105095987A (en) * | 2015-06-30 | 2015-11-25 | 北京奇虎科技有限公司 | Shopping navigation method, server for shopping navigation and client terminal |
CN107862557A (en) * | 2017-12-05 | 2018-03-30 | 英业达科技有限公司 | Customer's dynamic tracing system and method |
CN108520409A (en) * | 2018-03-28 | 2018-09-11 | 深圳正品创想科技有限公司 | A kind of express checkout method, apparatus and electronic equipment |
US20200005385A1 (en) * | 2018-06-29 | 2020-01-02 | Ghost House Technology, Llc | System, apparatus and method of item location, list creation, routing, imaging and detection |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115856917A (en) * | 2023-02-27 | 2023-03-28 | 深圳市永泰光电有限公司 | Object identification system and method based on laser radar and camera |
CN116777348A (en) * | 2023-06-21 | 2023-09-19 | 深圳市昂捷信息技术股份有限公司 | Intelligent goods shelf management method, device, equipment and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN112597382B (en) | 2022-10-21 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107578537A (en) | A kind of data push method of Self-help vending machine and Self-help vending machine | |
CN108846621B (en) | Inventory management system based on strategy module | |
CN108230086B (en) | Commodity selling adjustment method and storage medium | |
CN107808469B (en) | Self-service supermarket system | |
CN112597382B (en) | Personnel tracking system for unmanned store | |
CN107845212B (en) | Intelligent shopping system based on identity recognition | |
WO2018218860A1 (en) | Commodity recommendation method and device | |
US6654047B2 (en) | Method of and device for acquiring information on a traffic line of persons | |
CN109214806A (en) | Self-help settlement method, apparatus and storage medium | |
US20060076397A1 (en) | Method and system for drive through retail operation | |
CN112785354B (en) | Commodity recommendation system for retail management platform | |
CN112639862A (en) | System, apparatus and method for item location, inventory creation, routing, imaging and detection | |
JP2009086941A (en) | Menu display device for restaurant | |
CN109816127B (en) | Intelligent ticket recommendation method and system | |
CN101826154A (en) | Relationship analysis method, relationship analysis program and relationship analysis apparatus | |
CN106875261A (en) | Intelligent shopping guide and localization method based on Internet of Things | |
CN114331535A (en) | Information issuing system and method based on intelligent shopping cart | |
CN112150255A (en) | E-commerce operation management method and system | |
US20050228537A1 (en) | Method and device for selling goods and for handling over the purchased goods | |
CN112085519A (en) | A wisdom store system for clothing industry | |
CN110895747A (en) | Commodity information identification, display, information association and settlement method and system | |
CN108657090B (en) | Vehicle-mounted entertainment system and method thereof | |
CN109472616A (en) | Method of servicing and device based on shops's order | |
US20230174308A1 (en) | Apparatus, system, and method for a drive-through grocery service | |
CN114169952A (en) | Commodity recommendation method, server, shopping cart and shopping system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
TR01 | Transfer of patent right |
Effective date of registration: 20230928 Address after: 200443 Room 2833, Zone B, 1-2, No. 6395 Hutai Road, Baoshan District, Shanghai Patentee after: Shanghai Beitaman Intelligent Technology Co.,Ltd. Address before: 200092 1st floor, 38 Tieling Road, Yangpu District, Shanghai Patentee before: Shanghai aigou Intelligent Technology Co.,Ltd. |
|
TR01 | Transfer of patent right |