CN114530018A - Voice prompt method and device based on pickup trajectory analysis - Google Patents
Voice prompt method and device based on pickup trajectory analysis Download PDFInfo
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F17/00—Coin-freed apparatus for hiring articles; Coin-freed facilities or services
- G07F17/10—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property
- G07F17/12—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property comprising lockable containers, e.g. for accepting clothes to be cleaned
- G07F17/13—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property comprising lockable containers, e.g. for accepting clothes to be cleaned the containers being a postal pick-up locker
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- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
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- G07F—COIN-FREED OR LIKE APPARATUS
- G07F9/00—Details other than those peculiar to special kinds or types of apparatus
- G07F9/02—Devices for alarm or indication, e.g. when empty; Advertising arrangements in coin-freed apparatus
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Abstract
The invention discloses a voice prompt method and a voice prompt device based on pickup person track analysis, which are applied to a express post station, wherein the express post station is provided with a plurality of second cameras for acquiring video images of pickup persons and a express code scanning machine for express delivery warehouse-out registration, the express post station is also provided with a first camera, the first camera is arranged at an inlet and an outlet of the express post station, the first camera acquires the identity characteristics of the pickup persons when the pickup persons enter the express post station to generate pickup person identity IDs, the identity characteristics and the identity IDs of the pickup persons are shared to all the second cameras, the second cameras transmit the space-time points of the pickup persons to the first camera when the pickup persons are found, and the first camera carries out voice prompt according to the space-time tracks of the pickup persons. The technical scheme of the invention can accurately give voice prompt and improve the use experience of the user on the express courier station.
Description
Technical Field
The application belongs to the technical field of express post management, and particularly relates to a voice prompt method and device based on express item taking person track analysis.
Background
With the development of electronic commerce, express logistics is becoming more and more a means for sending goods, and goods sent by express are also called express. However, when the courier delivers the courier, the courier is difficult to directly deliver to the receiver due to the fact that the receiver is not at the receiver address and the like. Therefore, express delivery cabinets, express courier stations and other temporary express delivery placing modes are delivered, great convenience is provided for temporary placing and collecting of residents' express deliveries, and express delivery manpower is saved.
A plurality of goods shelves are arranged in the current express courier station, and each layer of each goods shelf has an independent number. When the courier puts the couriers on the shelf, the couriers are allocated with independent numbers 'XX numbers XXX layer XXX numbers' and are registered in a courier code scanning system for warehousing. The express post office sends the information to the mobile phone of the receiver, and the receiver gets the express according to the information to the related express post station. And after finding the express according to the received position information of the express, the receiver places the express on an express code recognition machine for recognition and takes away.
However, when the receiver takes the delivery, some people do not realize that the delivery needs to be scanned and the delivery is taken, or forget to scan the code and the delivery is taken, so that the delivery is taken without scanning the code, and the express post station cannot record the successful delivery evidence.
Disclosure of Invention
The application aims to provide a voice prompt method and device based on pickup trajectory analysis, so as to prompt a pickup to scan codes for recognition when picking up a pickup, and then leave after the codes are scanned successfully.
In order to achieve the purpose, the technical scheme of the application is as follows:
the utility model provides a voice prompt method based on person's track analysis of getting mail, is applied to the express mail posthouse, the express mail posthouse is provided with a plurality of second cameras that are used for gathering person's video image of getting mail to and be used for the express mail of express mail ex-warehouse registration to sweep the code machine, the express mail posthouse still is provided with first camera, first camera is installed and is imported and exported at the express mail posthouse, voice prompt method based on person's track analysis of getting mail includes:
when the pickup person enters the express post, the first camera collects the identity characteristics of the pickup person, generates the identity ID of the pickup person, and shares the identity characteristics and the identity ID of the pickup person with all the second cameras;
after finding the person target in the view field, the second camera extracts the identity characteristic of the person target, compares the identity characteristic with the stored identity characteristic of the pickup person, periodically generates a space-time point for the pickup person if the person target is found to be the pickup person, and sends the generated space-time point to the first camera;
the first camera triggers voice broadcast reminding according to the space-time track of the pickup person.
Further, first camera triggers the voice broadcast according to the space-time track of the person of getting a file and reminds, include:
and if the space-time trajectory of the pickup person leaves without entering the pickup area, no voice prompt is performed.
Further, first camera triggers the voice broadcast according to the space-time track of the person of getting a file and reminds, include:
and if the space-time trajectory of the pickup person passes through the express code scanning machine, but the staying time beside the express code scanning machine is less than a preset time threshold, carrying out warehouse-out after code scanning by voice prompt.
Further, first camera triggers the voice broadcast according to the space-time track of the person of getting a file and reminds, include:
if the space-time trajectory of the pickup person enters the pickup area but leaves without passing through the express code scanner, the pickup person is out of the warehouse after code scanning through voice prompt.
Further, the express delivery sweeps the yard machine and still is provided with the person of getting the mail camera, the first camera still will get the person of getting the mail's identity characteristic and identity ID sharing and sweep the yard machine for the express delivery, the express delivery sweeps the yard machine and still draws through person of getting the mail camera and second camera and sweeps the identity characteristic of sign indicating number party, compares with the person of getting the mail's identity characteristic, if unanimous, then judges that the person of getting the mail has got the mail and sweeps the sign indicating number successfully, then will get the person of getting the mail and sweep the information notice that the sign indicating number was successful for first camera, and first camera is no longer carrying out voice prompt to the person of getting the mail.
Furthermore, the first camera does not receive the information that the code scanning of the pickup person is successful, but the space-time track of the pickup person shows that the pickup person leaves, and then the pickup person goes out of the warehouse after the code scanning is prompted by voice.
Further, after finding that the pickup person leaves according to the space-time trajectory of the pickup person, the first camera sends a comparison stopping message to the express code scanner, and the express code scanner stops comparison.
Further, the voice prompt method based on pickup trajectory analysis further includes:
when the second camera sends the generated space-time points to the first camera, the face angle information of the pickup person is attached to each space-time point;
when finding that the space-time point conflicts appear, the first camera selects one space-time point according to the priority of the face angle information, and abandons other conflicting space-time points.
The application also provides a voice prompt device based on the trajectory analysis of the pickup person, which comprises a processor and a memory, wherein the memory is stored with a plurality of computer instructions, and the computer instructions are executed by the processor to realize the steps of the voice prompt method based on the trajectory analysis of the pickup person.
According to the voice prompt method and device based on pickup trajectory analysis, whether a pickup has scanned codes is judged by acquiring the space-time trajectory of the pickup, and corresponding voice prompt is carried out. And through the cooperation of the express mail code scanning machine and the space-time trajectory, voice prompts are not carried out on the express mail taker who has successfully scanned the code, the voice prompts can be sent as few as possible, the voice interference to the express mail taker is reduced, and the use experience of the user on the express mail posthouse is improved.
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Fig. 1 is a flowchart of a voice prompt method based on pickup trajectory analysis according to the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The application provides a voice prompt method based on pickup person track analysis, which is applied to a express mail post house, wherein the express mail post house is provided with an express mail code scanning machine at present so that a pickup person can scan codes and take the codes out of a warehouse after picking up a mail. The mode is convenient for the management of the express courier station, and the labor cost is reduced. In order to reduce express delivery mistake taking and provide express delivery evidence, the current express delivery posthouse is provided with a camera for acquiring video images of express delivery persons, and the camera is called as a second camera in the application. The second cameras are usually distributed at each corner of the courier post, and cover the whole courier post.
In one embodiment, as shown in fig. 1, there is provided a voice prompt method based on pickup trajectory analysis, including:
and step S1, when the pickup enters the express post, the first camera collects the identity characteristics of the pickup, generates the pickup identity ID, and shares the pickup identity characteristics and the identity ID with all the second cameras.
In this application, the express courier station still is provided with first camera, first camera is installed and is imported and exported at the express courier station, and the built-in voice player of first camera, or connect voice player, carry out voice prompt. The first camera, the express code scanner and the second camera are networked through a network, and information can be exchanged among the first camera, the express code scanner and the second camera.
Each pickup person enters the express post, the first cameras at the inlet and the outlet can acquire human faces and human body images of the pickup persons, and feature vectors of the human faces and the human bodies are extracted through the built-in deep neural network to form identity features of the pickup persons. The first camera generates a pickup identity ID and associates the identity ID with the identity characteristic.
The first camera stores the identity and the identity ID of the pickup person locally. And simultaneously sharing the information to all the second cameras in the express courier. All second cameras store the received identity and identity ID of the pickup.
And step S2, after finding the person target in the view field, the second camera extracts the identity characteristic of the person target, compares the identity characteristic with the stored identity characteristic of the pickup person, periodically generates a space-time point for the pickup person if the person target is found to be the pickup person, and sends the generated space-time point to the first camera.
Every second camera in the express mail posthouse gathers the video in the posthouse in real time, when the second camera finds that there is personnel target in its field of view, can extract the identity characteristic of personnel target. The camera is a relatively mature technology in the field of image processing technology, and details are not repeated here.
And the second camera compares the identity characteristics of the personnel target with the identity characteristics of the pickup person shared by the first camera in similarity, and the person who exceeds the similarity threshold is considered as the same person. Or multiple features that are the same may be considered the same person. The present application is not limited to which alignment method is adopted, and those skilled in the art can adopt any suitable characteristic alignment method, which is not described herein again.
The second camera records the point in time and the point in spatial position (i.e., the empty point) when the human target is found to be a pick-up. Tracking is then performed, periodically, e.g., every 1 second, to generate a spatiotemporal point, and the generated spatiotemporal point is transmitted to the first camera. Since the space for express couriers is usually not large, the interval period is generally not more than 1 second in order to accurately describe the spatiotemporal trajectory of the person taking the express mail.
And step S3, the first camera triggers voice broadcast reminding according to the space-time track of the pickup person.
After the first camera receives the time-space point of the pickup person sent by the second camera, the pickup person identity IDs corresponding to the same pickup person time-space point are the same, so that the first camera can easily generate the time-space trajectory of the pickup person. It should be noted that, when the first camera finds the person in the field of view, the corresponding spatiotemporal point is also added to the spatiotemporal trajectory.
The first camera analyzes the space-time trajectory of the pickup person and triggers the voice player to perform corresponding reminding.
How the first camera performs the voice alert is explained below by some specific embodiments.
In a specific embodiment, the triggering of the voice broadcast reminder by the first camera according to the spatiotemporal trajectory of the pickup person includes:
and if the space-time trajectory of the pickup person leaves without entering the pickup area, no voice prompt is performed.
In this embodiment, if the spatiotemporal trajectory of the pickup person is found not to enter the pickup area, it indicates that the pickup person has not picked up the pickup. At the moment, the pickup person leaves the express post, and the first camera does not trigger the voice player to send out voice prompt.
In another specific embodiment, the triggering of the voice broadcast reminder by the first camera according to the spatiotemporal trajectory of the pickup person includes:
if the space-time trajectory of the pickup person enters the pickup area but leaves without passing through the express code scanner, the pickup person is out of the warehouse after code scanning through voice prompt.
And if the space-time trajectory of the pickup person passes through the express code scanning machine, but the staying time beside the express code scanning machine is less than a preset time threshold, carrying out warehouse-out after code scanning by voice prompt.
In this embodiment, if it is found that the pick-up person does not pass through the express code scanner, it indicates that the pick-up person does not scan the code. Or the person who takes the express mail passes through the express code scanner, but the staying time is short, for example, the staying time does not exceed a preset time threshold, and the person who takes the express mail can also be considered not to scan the code. At this moment, when the person of getting the mail prepares to leave the express post house, first camera discovery back, can trigger voice prompt: "please take the express mail and scan the code before going out of the warehouse", etc.
In another specific embodiment, the express delivery code scanning machine is further provided with a pickup camera, the first camera further shares the identity characteristics and the identity ID of the pickup with the express delivery code scanning machine, the express delivery code scanning machine further extracts the identity characteristics of the code scanning party through the pickup camera and the second camera, compares the identity characteristics with the identity characteristics of the pickup, if the identity characteristics are consistent, judges that the pickup has successfully picked up and the code scanning, informs the first camera of the information that the pickup has successfully scanned the code, and the first camera does not perform voice prompt on the pickup any more.
In this embodiment, the first camera cooperates with the express delivery code scanning machine, and when the express delivery code scanning machine confirms that the delivery person has scanned the code and delivered the delivery, voice prompt is not performed any more.
Specifically, the first camera also shares the identity characteristic and the identity ID of the pickup person with the express code scanner. After the pickup person picks up the express mail, when the express mail code scanning machine scans the code and goes out of the warehouse, the pickup person camera can acquire the front image of the pickup person. And the express delivery code scanner can also acquire the human body characteristics of the delivery person from the second camera. Therefore, the express code scanner can obtain the identity characteristics of the code scanning party who is scanning the code and is out of the warehouse, and compare the identity characteristics with the identity characteristics of the pickup obtained by sharing. If the comparison is successful, the fact that the express delivery person scans the code on the express delivery code scanning machine and delivers the code out of the warehouse is indicated.
The express delivery code scanning machine sends the information that the code scanning of the delivery person is successful to the first camera, so that the first camera does not trigger voice prompt to the delivery person any more.
In another specific embodiment, the first camera does not receive the information that the code scanning of the pickup person is successful, but the space-time trajectory of the pickup person is found to show that the pickup person leaves, and then the pickup person is sent out of the warehouse after the code scanning is prompted by voice.
In this embodiment, if the first camera finds that the pickup leaves the courier post, but does not receive the information that the pickup scans the code successfully, it must prompt: "please take the express mail and scan the code before going out of the warehouse", etc.
In another specific embodiment, after finding that the pickup person leaves according to the space-time trajectory of the pickup person, the first camera sends a comparison stopping message to the express code scanner, and the express code scanner stops comparison.
In this embodiment, after the pickup leaves, the express code scanner continues to compare the pickup with the same pickup, and thus there is no practical significance, and at this time, a comparison stopping message needs to be sent to the express code scanner, so that the express code scanner stops comparing the pickup, and resources of the express code scanner are released.
Considering that when a plurality of second cameras transmit the space-time points to the first camera, the second cameras identify the pickup persons possibly with a certain error rate, so that the space-time points transmitted to the first camera by different second cameras conflict (more than two different space points occur at the same time point). Therefore, the present application further comprises the steps of:
when the second camera sends the generated space-time points to the first camera, the face angle information of the pickup person is attached to each space-time point;
when finding that the space-time point conflicts appear, the first camera selects one space-time point according to the priority of the face angle information, and abandons other conflicting space-time points.
Specifically, when each second camera sends a space-time point to the first camera, face angle information of a pickup person during recognition, such as a front face, a side face and a back face, is respectively attached to each space-time point. When the first camera finds the space-time point conflict, the additional information is preferably the space-time point of the front face, the space-time point of the side face is selected, and other conflict space-time points are ignored.
In the present embodiment, two or more different spatial position points appear at the same time point in the space-time point collision, and it is generally considered that the space-time points appearing in a set time period are the same time point, for example, within 1 second.
In another embodiment, the application further provides a voice prompt device based on the pickup trajectory analysis, which comprises a processor and a memory storing a plurality of computer instructions, wherein the computer instructions, when executed by the processor, implement the steps of the voice prompt method based on the pickup trajectory analysis.
For the specific definition of the voice prompt device based on pickup trajectory analysis, reference may be made to the above definition of the voice prompt method based on pickup trajectory analysis, and details are not described here. The voice prompt device based on pickup trajectory analysis can be wholly or partially realized by software, hardware and a combination thereof. The method can be embedded in hardware or independent from a processor in the computer device, and can also be stored in a memory in the computer device in software, so that the processor can call and execute the corresponding operation.
The memory and the processor are electrically connected, directly or indirectly, to enable transmission or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory stores a computer program that can be executed on the processor, and the processor executes the computer program stored in the memory, thereby implementing the network topology layout method in the embodiment of the present invention.
The Memory may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory is used for storing programs, and the processor executes the programs after receiving the execution instructions.
The processor may be an integrated circuit chip having data processing capabilities. The Processor may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. The various methods, steps and logic blocks disclosed in embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (9)
1. The utility model provides a voice prompt method based on person's track analysis of getting is applied to the express mail posthouse, the express mail posthouse is provided with a plurality of second cameras that are used for gathering person's video image of getting to and is used for express mail of express mail ex-warehouse registration to sweep the code machine, a serial communication port, the express mail posthouse still is provided with first camera, first camera is installed and is imported and exported at the express mail posthouse, voice prompt method based on person's track analysis of getting includes:
when the pickup person enters the express post, the first camera collects the identity characteristics of the pickup person, generates the identity ID of the pickup person, and shares the identity characteristics and the identity ID of the pickup person with all the second cameras;
after finding the person target in the view field, the second camera extracts the identity characteristic of the person target, compares the identity characteristic with the stored identity characteristic of the pickup person, periodically generates a space-time point for the pickup person if the person target is found to be the pickup person, and sends the generated space-time point to the first camera;
the first camera triggers voice broadcast reminding according to the space-time track of the pickup person.
2. The voice prompt method based on pickup trajectory analysis according to claim 1, wherein the first camera triggers a voice broadcast reminder according to the pickup trajectory, comprising:
and if the space-time trajectory of the pickup person leaves without entering the pickup area, no voice prompt is performed.
3. The voice prompt method based on pickup trajectory analysis according to claim 1, wherein the first camera triggers a voice broadcast reminder according to the pickup trajectory, comprising:
and if the space-time trajectory of the pickup person passes through the express code scanning machine, but the staying time beside the express code scanning machine is less than a preset time threshold, carrying out warehouse-out after code scanning by voice prompt.
4. The voice prompt method based on pickup trajectory analysis according to claim 1, wherein the first camera triggers a voice broadcast reminder according to the pickup's spatiotemporal trajectory, comprising:
if the space-time trajectory of the pickup person enters the pickup area but leaves without passing through the express code scanner, the pickup person is out of the warehouse after code scanning through voice prompt.
5. The voice prompt method based on pickup trajectory analysis according to claim 1, wherein the express code scanner is further provided with a pickup camera, the first camera further shares the identity characteristics and the identity ID of the pickup to the express code scanner, the express code scanner further extracts the identity characteristics of the code scanning party through the pickup camera and the second camera, compares the extracted identity characteristics with the identity characteristics of the pickup, and if the extracted identity characteristics and the identity characteristics are consistent, judges that the pickup has successfully picked up the pickup and scanned the code, informs the first camera of the information that the pickup has successfully scanned the code, and the first camera does not perform voice prompt on the pickup any more.
6. The voice prompt method based on pickup trajectory analysis according to claim 5, wherein the first camera does not receive information that pickup code scanning is successful, but finds that the spatiotemporal trajectory of the pickup indicates that the pickup leaves, and then voice prompts are performed to scan the code and then the pickup leaves the warehouse.
7. The voice prompt method based on pickup trajectory analysis of claim 6, wherein the first camera sends a comparison stop message to the express code scanner after finding that the pickup leaves according to the spatiotemporal trajectory of the pickup, and the express code scanner stops the comparison.
8. The voice prompt method based on pickup trajectory analysis according to claim 1, further comprising:
when the second camera sends the generated space-time points to the first camera, the face angle information of the pickup person is attached to each space-time point;
when finding that the space-time point conflicts appear, the first camera selects one space-time point according to the priority of the face angle information, and abandons other conflicting space-time points.
9. A voice guidance device based on a trajectory analysis of a pickup, comprising a processor and a memory storing computer instructions, wherein the computer instructions, when executed by the processor, implement the steps of the method according to any one of claims 1 to 8.
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Citations (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2688613A1 (en) * | 1992-03-16 | 1993-09-17 | Aerospatiale | METHOD AND DEVICE FOR DETERMINING THE RELATIVE POSITION AND TRACK OF TWO SPACE VEHICLES. |
| US6862576B1 (en) * | 1999-07-10 | 2005-03-01 | Fujitsu Services Limited | Secure locker system and method |
| CN102663452A (en) * | 2012-04-14 | 2012-09-12 | 中国人民解放军国防科学技术大学 | Suspicious act detecting method based on video analysis |
| CN102682303A (en) * | 2012-03-13 | 2012-09-19 | 上海交通大学 | Crowd exceptional event detection method based on LBP (Local Binary Pattern) weighted social force model |
| CN103116959A (en) * | 2013-01-25 | 2013-05-22 | 上海博超科技有限公司 | Analyzing and recognizing method for abnormal behaviors in intelligent videos |
| CN103593361A (en) * | 2012-08-14 | 2014-02-19 | 中国科学院沈阳自动化研究所 | Movement space-time trajectory analysis method in sense network environment |
| CN103914563A (en) * | 2014-04-18 | 2014-07-09 | 中国科学院上海微***与信息技术研究所 | Pattern mining method for spatio-temporal track |
| CN105488920A (en) * | 2015-12-31 | 2016-04-13 | 天津奥莱恩科技有限公司 | Intelligent express cabinet |
| CN106257301A (en) * | 2016-05-12 | 2016-12-28 | 内蒙古工业大学 | Distributed space time correlation model trace tracking method based on statistical inference |
| CN107133269A (en) * | 2017-04-01 | 2017-09-05 | 中国人民解放军国防科学技术大学 | Frequent location track generation method and device based on mobile target |
| CN207182523U (en) * | 2017-08-03 | 2018-04-03 | 成都逊捷科技有限公司 | A kind of cloud logistics cabinet access system based on Internet of Things |
| CN108146952A (en) * | 2017-12-15 | 2018-06-12 | 王曦达 | Share express delivery delivery system in multifunctional stereo formula community |
| CN109242398A (en) * | 2018-10-19 | 2019-01-18 | 杭州电子科技大学 | Courier packages' quick positioning system and method based on unmanned plane and smart machine |
| US20190139235A1 (en) * | 2017-06-14 | 2019-05-09 | Lavision Gmbh | Method of tracking a plurality of point-shaped objects in a three-dimensional space |
| CN110309434A (en) * | 2018-10-10 | 2019-10-08 | 腾讯大地通途（北京）科技有限公司 | A kind of track data processing method, device and relevant device |
| CN110910584A (en) * | 2019-12-23 | 2020-03-24 | 李建强 | Express warehousing and ex-warehousing device and method |
| CN111986363A (en) * | 2020-08-18 | 2020-11-24 | 递易（上海）智能科技有限公司 | Intelligent express post station, method and computer readable storage medium |
| CN112200512A (en) * | 2020-09-23 | 2021-01-08 | 重庆邮电大学 | Intelligent management system and method for express delivery terminal post house |
| CN213904517U (en) * | 2020-06-29 | 2021-08-06 | 菜鸟智能物流控股有限公司 | Reminding device |
| CN214202398U (en) * | 2020-12-28 | 2021-09-14 | 北京中诚世纪信息技术有限公司 | Express delivery intelligence networking security equipment |
| CN113537878A (en) * | 2021-06-28 | 2021-10-22 | 上海欢猫科技有限责任公司 | Package delivery method, device, equipment and storage medium |
| CN215730055U (en) * | 2021-09-10 | 2022-02-01 | 陕西煤业新型能源科技股份有限公司 | Intelligent control terminal device for logistics transportation |
| US20220067688A1 (en) * | 2020-09-01 | 2022-03-03 | Lg Electronics Inc. | Automated shopping experience using cashier-less systems |
-
2022
- 2022-04-24 CN CN202210432921.XA patent/CN114530018B/en active Active
Patent Citations (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2688613A1 (en) * | 1992-03-16 | 1993-09-17 | Aerospatiale | METHOD AND DEVICE FOR DETERMINING THE RELATIVE POSITION AND TRACK OF TWO SPACE VEHICLES. |
| US6862576B1 (en) * | 1999-07-10 | 2005-03-01 | Fujitsu Services Limited | Secure locker system and method |
| CN102682303A (en) * | 2012-03-13 | 2012-09-19 | 上海交通大学 | Crowd exceptional event detection method based on LBP (Local Binary Pattern) weighted social force model |
| CN102663452A (en) * | 2012-04-14 | 2012-09-12 | 中国人民解放军国防科学技术大学 | Suspicious act detecting method based on video analysis |
| CN103593361A (en) * | 2012-08-14 | 2014-02-19 | 中国科学院沈阳自动化研究所 | Movement space-time trajectory analysis method in sense network environment |
| CN103116959A (en) * | 2013-01-25 | 2013-05-22 | 上海博超科技有限公司 | Analyzing and recognizing method for abnormal behaviors in intelligent videos |
| CN103914563A (en) * | 2014-04-18 | 2014-07-09 | 中国科学院上海微***与信息技术研究所 | Pattern mining method for spatio-temporal track |
| CN105488920A (en) * | 2015-12-31 | 2016-04-13 | 天津奥莱恩科技有限公司 | Intelligent express cabinet |
| CN106257301A (en) * | 2016-05-12 | 2016-12-28 | 内蒙古工业大学 | Distributed space time correlation model trace tracking method based on statistical inference |
| CN107133269A (en) * | 2017-04-01 | 2017-09-05 | 中国人民解放军国防科学技术大学 | Frequent location track generation method and device based on mobile target |
| US20190139235A1 (en) * | 2017-06-14 | 2019-05-09 | Lavision Gmbh | Method of tracking a plurality of point-shaped objects in a three-dimensional space |
| CN207182523U (en) * | 2017-08-03 | 2018-04-03 | 成都逊捷科技有限公司 | A kind of cloud logistics cabinet access system based on Internet of Things |
| CN108146952A (en) * | 2017-12-15 | 2018-06-12 | 王曦达 | Share express delivery delivery system in multifunctional stereo formula community |
| CN110309434A (en) * | 2018-10-10 | 2019-10-08 | 腾讯大地通途（北京）科技有限公司 | A kind of track data processing method, device and relevant device |
| CN109242398A (en) * | 2018-10-19 | 2019-01-18 | 杭州电子科技大学 | Courier packages' quick positioning system and method based on unmanned plane and smart machine |
| CN110910584A (en) * | 2019-12-23 | 2020-03-24 | 李建强 | Express warehousing and ex-warehousing device and method |
| CN213904517U (en) * | 2020-06-29 | 2021-08-06 | 菜鸟智能物流控股有限公司 | Reminding device |
| CN111986363A (en) * | 2020-08-18 | 2020-11-24 | 递易（上海）智能科技有限公司 | Intelligent express post station, method and computer readable storage medium |
| US20220067688A1 (en) * | 2020-09-01 | 2022-03-03 | Lg Electronics Inc. | Automated shopping experience using cashier-less systems |
| CN112200512A (en) * | 2020-09-23 | 2021-01-08 | 重庆邮电大学 | Intelligent management system and method for express delivery terminal post house |
| CN214202398U (en) * | 2020-12-28 | 2021-09-14 | 北京中诚世纪信息技术有限公司 | Express delivery intelligence networking security equipment |
| CN113537878A (en) * | 2021-06-28 | 2021-10-22 | 上海欢猫科技有限责任公司 | Package delivery method, device, equipment and storage medium |
| CN215730055U (en) * | 2021-09-10 | 2022-02-01 | 陕西煤业新型能源科技股份有限公司 | Intelligent control terminal device for logistics transportation |
Non-Patent Citations (4)
| Title |
|---|
| 李立仁等: "智能视频监控技术综述", 《中国安防》 * |
| 梅雪等: "基于运动方向的视角无关行为识别方法", 《计算机工程》 * |
| 王伟宏等: "基于RFID智能分拣***设计及其应用研究", 《机电工程技术》 * |
| 陈松乐等: "一种基于深度学习的物流快递驿站异常行为识别方法", 《物流科技》 * |
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