CN117058626B - Safety monitoring system and method based on intelligent data analysis - Google Patents
Safety monitoring system and method based on intelligent data analysis Download PDFInfo
- Publication number
- CN117058626B CN117058626B CN202311317474.4A CN202311317474A CN117058626B CN 117058626 B CN117058626 B CN 117058626B CN 202311317474 A CN202311317474 A CN 202311317474A CN 117058626 B CN117058626 B CN 117058626B
- Authority
- CN
- China
- Prior art keywords
- personnel
- detection device
- main control
- goods
- control device
- 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.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 30
- 238000007405 data analysis Methods 0.000 title claims abstract description 21
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000001514 detection method Methods 0.000 claims abstract description 104
- 230000005856 abnormality Effects 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 6
- 230000006399 behavior Effects 0.000 claims description 3
- 238000004590 computer program Methods 0.000 claims description 3
- 238000005265 energy consumption Methods 0.000 abstract description 6
- 238000003384 imaging method Methods 0.000 abstract description 3
- 230000002035 prolonged effect Effects 0.000 abstract description 3
- 238000012545 processing Methods 0.000 abstract description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 230000000295 complement effect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
-
- 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
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/10—Movable barriers with registering means
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention relates to a safety monitoring system and a method based on intelligent data analysis, which belong to the technical field of electric digital data processing, and are started through orderly coordination among an access control opening detection device, a personnel entering detection device, a personnel goods taking detection device, a commodity image recognition device, a goods shelf bearing detection device and a camera tracking recognition device; most of detection and recognition devices can be prevented from being in an invalid action state for a long time, particularly the imaging tracking recognition device with higher hardware cost, higher action energy consumption and larger data memory space occupation ratio is avoided, so that the overall energy consumption of the system can be reduced, the service life of high-performance and high-cost hardware equipment can be prolonged from the side face, and the like. Compared with other safety monitoring schemes aiming at unattended shops in the current stage, the scheme combines the goods shelf bearing data and the goods image data to carry out comprehensive judgment, and the judgment result is more reliable than that of a single judgment element.
Description
Technical Field
The invention belongs to the technical field of electric digital data processing, and particularly relates to a safety monitoring system and method based on intelligent data analysis.
Background
At present, as no staff is watched in the unattended store, a user is required to consciously observe all transaction rules in the unattended store, and although a camera is arranged in the unattended store, the unattended store can play a part of deterrent, but only store monitoring can be realized, and theft detection cannot be realized; therefore, some users with relatively poor quality can be unavoidably present, under the condition that the cameras exist, the goods in the unattended shops can still be stolen by shopping, for example, the users can destroy RFID (radio frequency identification) marks on the goods, then the goods are hidden on the body and brought out of the unattended shops through a settlement channel, and once theft occurs, the income of the shops can be influenced, and the worse influence can be caused, so that the development and the application of the unattended shops are not facilitated.
The solution designed for the above situations at the present stage is usually to start from image acquisition and identification, and has extremely high requirements on the performance of the camera equipment, and the data acquisition mode is too single and completely depends on one element of image data, so that the reliability of the subsequent detection and identification results is not high.
Therefore, a system, a method and a storage medium for security monitoring based on intelligent data analysis are needed to solve the above problems.
Disclosure of Invention
The invention aims to provide a safety monitoring system, a safety monitoring method and a safety monitoring storage medium based on intelligent data analysis, which are used for solving the technical problems in the prior art, and the existing solving measures aiming at the theft design of an unattended store are usually from image acquisition and identification, so that the performance requirement on camera equipment is extremely high, the data acquisition mode is too single, and the follow-up detection and identification result is not high due to the fact that the data acquisition mode is completely dependent on one element of image data.
In order to achieve the above purpose, the technical scheme of the invention is as follows:
the safety monitoring system based on intelligent data analysis comprises an access control opening detection device, a personnel entering detection device, a personnel taking detection device, a commodity image recognition device, a goods shelf bearing detection device, a camera tracking recognition device and a main control device;
the entrance guard opening detection device is used for detecting whether an entrance guard of an unattended store is opened or not; the personnel access detection device is used for detecting whether personnel enter an unattended shop; the personnel goods taking detection device is used for detecting whether personnel in the unattended store take goods or not; the commodity image recognition device is used for recognizing the types and the quantity of commodities fetched by personnel and recording the types and the quantity as target commodity data; the goods shelf bearing detection device is used for detecting whether bearing data actually reduced by a goods shelf are matched with bearing data corresponding to the target commodity data or not; the camera tracking and identifying device is used for calling all camera equipment of the unattended shop to track and identify personnel behaviors;
the main control device controls the entrance guard opening detection device to be normally opened, and controls the personnel entering detection device, the personnel taking detection device, the commodity image recognition device, the goods shelf bearing detection device and the camera tracking recognition device to be normally closed;
when the entrance guard opening detection device detects that the entrance guard of the unattended store is opened, the main control device controls the personnel to enter the detection device to be opened;
when the personnel access detection device detects that personnel enter an unattended shop, the main control device controls the personnel goods taking detection device to be started;
when the personnel goods taking detection device detects that personnel in the unattended store take goods, the main control device controls the commodity image recognition device and the goods shelf bearing detection device to be started;
when the goods shelf bearing detection device detects that the bearing data actually reduced by the goods shelf is not matched with the bearing data corresponding to the target goods data, the main control device controls the camera tracking recognition device to be started.
Further, the device also comprises a staff identification device, wherein the staff identification device is connected with the main control device;
the staff identification device is used for detecting and identifying whether staff entering an unattended store is staff;
the main control device controls the staff identification device to be normally closed;
when the personnel access detection device detects that the personnel enter an unattended shop, the main control device controls the personnel identification device to be started;
when the staff identification device detects that the staff entering the unattended shop is not a staff; the main control device controls the personnel goods taking detection device to be started.
Further, the device also comprises a duration recording device, wherein the duration recording device is connected with the main control device;
the duration recording device is used for recording the actual duration of the mismatch between the actual reduced load-bearing data of the goods shelf and the load-bearing data corresponding to the target commodity data;
the main control device controls the duration time recording device to be normally closed;
when the goods shelf bearing detection device detects that the bearing data actually reduced by the goods shelf is not matched with the bearing data corresponding to the target goods data, the main control device controls the duration recording device to be started;
when the actual duration recorded by the duration recording device reaches the preset duration, the main control device controls the camera tracking identification device to be started.
Further, the device also comprises an abnormality alarm device, and the abnormality alarm device is connected with the main control device.
Further, the intelligent terminal comprises a wireless communication device and a remote intelligent terminal, wherein the main control device is connected with the remote intelligent terminal through the wireless communication device in a network mode.
The safety monitoring method based on intelligent data analysis adopts the safety monitoring system based on intelligent data analysis to carry out safety monitoring.
A storage medium having stored thereon a computer program which when executed performs a security monitoring method based on intelligent data analysis as described above.
Compared with the prior art, the invention has the following beneficial effects:
one of the beneficial effects of the scheme is that the door control device is started through orderly coordination among an entrance guard opening detection device, a personnel entering detection device, a personnel taking detection device, a commodity image recognition device, a goods shelf bearing detection device and a camera tracking recognition device; most of detection and recognition devices can be prevented from being in an invalid action state for a long time, particularly the imaging tracking recognition device with higher hardware cost, higher action energy consumption and larger data memory space occupation ratio is avoided, so that the overall energy consumption of the system can be reduced, the service life of high-performance and high-cost hardware equipment can be prolonged from the side face, and the like. Compared with other safety monitoring schemes aiming at unattended shops at the current stage, the scheme combines the goods shelf bearing data and the goods image data to carry out comprehensive judgment, and the judgment result is more reliable than that of a single judgment element. Moreover, the entrance guard opening detection triggers personnel to enter detection, then triggers personnel to take goods detection, goods shelf bearing detection and camera tracking identification in sequence, and the detection sequence is a link which is required to be sequentially experienced according to the fact that personnel enter an unattended store to make shopping, so that misoperation of the whole system can be avoided, and meanwhile detection accuracy of detection results of the whole system can be improved.
Drawings
Fig. 1 is a schematic system configuration diagram of the embodiment.
Fig. 2 is a schematic diagram of the system operation principle of the embodiment.
Detailed Description
For the purpose of making the technical solution and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings and examples. It should be understood that the particular embodiments described herein are illustrative only and are not intended to limit the invention, i.e., the embodiments described are merely some, but not all, of the embodiments of the invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present invention. It is noted that relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
As shown in fig. 1, a security monitoring system based on intelligent data analysis is provided, which comprises an entrance guard opening detection device, a personnel entering detection device, a personnel taking detection device, a commodity image recognition device, a goods shelf bearing detection device, a camera tracking recognition device and a main control device;
the entrance guard opening detection device is used for detecting whether an entrance guard of an unattended store is opened or not; the door control opening detection device comprises a first processor, a first memory and an opening sensor, wherein the first processor is respectively connected with the first memory, the opening sensor and the main control device; the opening sensor is used for detecting real-time opening data of the door of the unattended store, the first memory is used for storing preset opening data of the door of the unattended store, the first processor compares and analyzes the real-time opening data with the preset opening data, and if the real-time opening data and the preset opening data are matched, the first processor feeds back to the main control device that the entrance guard of the unattended store is opened.
The personnel access detection device is used for detecting whether personnel enter an unattended shop; the human body access detection device can adopt a human body access sensor, the human body access sensor is arranged in the unattended shop, and when the human body access sensor detects human body access within a preset distance, the human body access sensor feeds back that a person exists to enter the unattended shop to the main control device.
The personnel goods taking detection device is used for detecting whether personnel in the unattended store take goods or not; the personnel goods taking detection device comprises a second processor, a second memory and a plurality of cameras, wherein the second processor is respectively connected with the second memory, the plurality of cameras and the main control device; the cameras are used for capturing real-time image data of personnel in the unattended store in real time, the second memory is used for storing preset image data of goods taking actions of the personnel, the second processor is used for comparing and analyzing the real-time image data with the preset image data, and if the real-time image data and the preset image data are matched, the second processor feeds back the goods taking actions of the personnel in the unattended store to the main control device.
The commodity image recognition device is used for recognizing the types and the quantity of commodities fetched by personnel and recording the types and the quantity as target commodity data; the commodity image recognition device can also adopt a combination scheme of a processor, a memory and a plurality of cameras, and the description is omitted here.
The goods shelf bearing detection device is used for detecting whether bearing data actually reduced by a goods shelf are matched with bearing data corresponding to the target commodity data or not; the goods shelf bearing detection device can adopt a pressure sensor matrix which is uniformly arranged on the goods shelf, and various goods on the goods shelf directly cause pressure to the pressure sensor matrix.
The camera tracking and identifying device is used for calling all camera equipment of the unattended shop to track and identify personnel behaviors;
as shown in fig. 2, the main control device controls the entrance guard opening detection device to be normally opened, and controls the personnel entering detection device, the personnel taking detection device, the commodity image recognition device, the goods shelf bearing detection device and the camera tracking recognition device to be normally closed;
when the entrance guard opening detection device detects that the entrance guard of the unattended store is opened, the main control device controls the personnel to enter the detection device to be opened;
when the personnel access detection device detects that personnel enter an unattended shop, the main control device controls the personnel goods taking detection device to be started;
when the personnel goods taking detection device detects that personnel in the unattended store take goods, the main control device controls the commodity image recognition device and the goods shelf bearing detection device to be started;
when the goods shelf bearing detection device detects that the bearing data actually reduced by the goods shelf is not matched with the bearing data corresponding to the target goods data, the main control device controls the camera tracking recognition device to be started.
In the scheme, the door control opening detection device, the personnel entering detection device, the personnel taking detection device, the commodity image recognition device, the goods shelf bearing detection device and the camera tracking recognition device are orderly matched and started; most of detection and recognition devices can be prevented from being in an invalid action state for a long time, particularly the imaging tracking recognition device with higher hardware cost, higher action energy consumption and larger data memory space occupation ratio is avoided, so that the overall energy consumption of the system can be reduced, the service life of high-performance and high-cost hardware equipment can be prolonged from the side face, and the like. And, compare in the present stage other safety monitoring schemes to unmanned on duty store, this application scheme combines goods shelves bearing data and commodity image data together and carries out comprehensive judgement, and its judgement result is more reliable than the judgement result of single judgement element (for example, the customer utilizes the blind area of making a video recording, when taking a certain commodity, takes other commodity off along the way, and the condition that the camera can't take a candid photograph, then goods shelves bearing data can accomplish corresponding complement). Moreover, the entrance guard opening detection triggers personnel to enter detection, then triggers personnel to take goods detection, goods shelf bearing detection and camera tracking identification in sequence, and the detection sequence is a link which is required to be sequentially experienced according to the fact that personnel enter an unattended store to make shopping, so that misoperation of the whole system can be avoided, and meanwhile detection accuracy of detection results of the whole system can be improved.
Further, the device also comprises a staff identification device, wherein the staff identification device is connected with the main control device;
the staff identification device is used for detecting and identifying whether staff entering an unattended store is staff;
the main control device controls the staff identification device to be normally closed;
when the personnel access detection device detects that the personnel enter an unattended shop, the main control device controls the personnel identification device to be started;
when the staff identification device detects that the staff entering the unattended shop is not a staff; the main control device controls the personnel goods taking detection device to be started.
In the above-described scheme, it is considered that when the person entry detection means detects that the person exists to enter the unattended shop, it is possible that not a customer who purchases a commodity but a worker of the shop; accordingly, a corresponding staff identification device is designed to overcome the above-mentioned drawbacks.
Further, the device also comprises a duration recording device, wherein the duration recording device is connected with the main control device;
the duration recording device is used for recording the actual duration of the mismatch between the actual reduced load-bearing data of the goods shelf and the load-bearing data corresponding to the target commodity data;
the main control device controls the duration time recording device to be normally closed;
when the goods shelf bearing detection device detects that the bearing data actually reduced by the goods shelf is not matched with the bearing data corresponding to the target goods data, the main control device controls the duration recording device to be started;
when the actual duration recorded by the duration recording device reaches the preset duration, the main control device controls the camera tracking identification device to be started.
In the above solution, when the load-bearing detection device of the shelf detects that the load-bearing data actually reduced by the shelf is not matched with the load-bearing data corresponding to the target commodity data, there may be: after the customer gets the goods, the customer hesitates to put the corresponding goods back to the goods shelf; thus, the duration recording device is designed to overcome the above-described drawbacks.
Further, the system also comprises an abnormality alarm device, wherein the abnormality alarm device is connected with the main control device, and when an abnormality occurs, the abnormality alarm device alarms on the scene of an unattended store to warn related suspicious personnel.
Further, the remote data interaction system also comprises a wireless communication device and a remote intelligent terminal, wherein the main control device is connected with the remote intelligent terminal through the wireless communication device in a network manner, so that remote data interaction is realized.
The safety monitoring method based on intelligent data analysis adopts the safety monitoring system based on intelligent data analysis to carry out safety monitoring.
A storage medium having stored thereon a computer program which when executed performs a security monitoring method based on intelligent data analysis as described above.
The above is a preferred embodiment of the present invention, and all changes made according to the technical solution of the present invention belong to the protection scope of the present invention when the generated functional effects do not exceed the scope of the technical solution of the present invention.
Claims (6)
1. The safety monitoring system based on intelligent data analysis is characterized by comprising an access control opening detection device, a personnel entering detection device, a personnel taking detection device, a commodity image recognition device, a goods shelf bearing detection device, a shooting tracking recognition device and a main control device;
the entrance guard opening detection device is used for detecting whether an entrance guard of an unattended store is opened or not; the personnel access detection device is used for detecting whether personnel enter an unattended shop; the personnel goods taking detection device is used for detecting whether personnel in the unattended store take goods or not; the commodity image recognition device is used for recognizing the types and the quantity of commodities fetched by personnel and recording the types and the quantity as target commodity data; the goods shelf bearing detection device is used for detecting whether bearing data actually reduced by a goods shelf are matched with bearing data corresponding to the target commodity data or not; the camera tracking and identifying device is used for calling all camera equipment of the unattended shop to track and identify personnel behaviors;
the main control device controls the entrance guard opening detection device to be normally opened, and controls the personnel entering detection device, the personnel taking detection device, the commodity image recognition device, the goods shelf bearing detection device and the camera tracking recognition device to be normally closed;
when the entrance guard opening detection device detects that the entrance guard of the unattended store is opened, the main control device controls the personnel to enter the detection device to be opened;
when the personnel access detection device detects that personnel enter an unattended shop, the main control device controls the personnel goods taking detection device to be started;
when the personnel goods taking detection device detects that personnel in the unattended store take goods, the main control device controls the commodity image recognition device and the goods shelf bearing detection device to be started;
when the goods shelf bearing detection device detects that the bearing data actually reduced by the goods shelf is not matched with the bearing data corresponding to the target goods data, the main control device controls the camera tracking recognition device to be started;
the device also comprises a duration recording device, wherein the duration recording device is connected with the main control device;
the duration recording device is used for recording the actual duration of the mismatch between the actual reduced load-bearing data of the goods shelf and the load-bearing data corresponding to the target commodity data;
the main control device controls the duration time recording device to be normally closed;
when the goods shelf bearing detection device detects that the bearing data actually reduced by the goods shelf is not matched with the bearing data corresponding to the target goods data, the main control device controls the duration recording device to be started;
when the actual duration recorded by the duration recording device reaches the preset duration, the main control device controls the camera tracking identification device to be started.
2. The intelligent data analysis-based safety monitoring system according to claim 1, further comprising a staff identification device connected to the master control device;
the staff identification device is used for detecting and identifying whether staff entering an unattended store is staff;
the main control device controls the staff identification device to be normally closed;
when the personnel access detection device detects that the personnel enter an unattended shop, the main control device controls the personnel identification device to be started;
when the staff identification device detects that the staff entering the unattended shop is not a staff; the main control device controls the personnel goods taking detection device to be started.
3. The intelligent data analysis-based safety monitoring system according to claim 1, further comprising an abnormality alarm device connected to the main control device.
4. The intelligent data analysis-based safety monitoring system according to claim 1, further comprising a wireless communication device and a remote intelligent terminal, wherein the master control device is connected with the remote intelligent terminal through the wireless communication device.
5. A security monitoring method based on intelligent data analysis, characterized in that the security monitoring is performed by using the security monitoring system based on intelligent data analysis as claimed in any one of claims 1 to 4.
6. A storage medium having stored thereon a computer program which when executed performs the smart data analysis-based security monitoring method of claim 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311317474.4A CN117058626B (en) | 2023-10-12 | 2023-10-12 | Safety monitoring system and method based on intelligent data analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311317474.4A CN117058626B (en) | 2023-10-12 | 2023-10-12 | Safety monitoring system and method based on intelligent data analysis |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117058626A CN117058626A (en) | 2023-11-14 |
| CN117058626B true CN117058626B (en) | 2024-01-02 |
Family
ID=88657613
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311317474.4A Active CN117058626B (en) | 2023-10-12 | 2023-10-12 | Safety monitoring system and method based on intelligent data analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117058626B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117288269B (en) * | 2023-11-27 | 2024-01-30 | 四川交通职业技术学院 | Intelligent monitoring system and method for urban road landscape quality |
| CN117455940B (en) * | 2023-12-25 | 2024-02-27 | 四川汉唐云分布式存储技术有限公司 | Cloud-based customer behavior detection method, system, equipment and storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107330684A (en) * | 2017-07-06 | 2017-11-07 | 广州联业商用机器人科技股份有限公司 | A kind of intelligent unmanned shop of management and control in high in the clouds and its automatic settlement method |
| CN207337465U (en) * | 2017-07-06 | 2018-05-08 | 广州联业商用机器人科技股份有限公司 | A kind of unmanned shop of high in the clouds intelligence management and control |
| CN108564442A (en) * | 2018-04-11 | 2018-09-21 | 合肥美的智能科技有限公司 | Unmanned retail trade system and its control method, goods selling equipment and Cloud Server |
| CN108564713A (en) * | 2018-03-23 | 2018-09-21 | 刘婧 | A kind of commodity identification of the unattended retail based on composite measurement mode and anti-cheating system and its method |
| CN108648334A (en) * | 2018-04-11 | 2018-10-12 | 合肥美的智能科技有限公司 | Self-service cabinet and its abnormal method for controlling reporting, self-service system |
| CN111127174A (en) * | 2020-01-06 | 2020-05-08 | 鄂尔多斯市东驿科技有限公司 | Intelligent unmanned supermarket control system |
| CN112215167A (en) * | 2020-10-14 | 2021-01-12 | 上海爱购智能科技有限公司 | Intelligent store control method and system based on image recognition |
| CN112381982A (en) * | 2020-10-19 | 2021-02-19 | 北京科技大学 | Unmanned supermarket system constructed based on deep learning |
| CN115497055A (en) * | 2022-11-18 | 2022-12-20 | 四川汉唐云分布式存储技术有限公司 | Commodity anti-theft detection method and device for unattended shop and storage medium |
-
2023
- 2023-10-12 CN CN202311317474.4A patent/CN117058626B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107330684A (en) * | 2017-07-06 | 2017-11-07 | 广州联业商用机器人科技股份有限公司 | A kind of intelligent unmanned shop of management and control in high in the clouds and its automatic settlement method |
| CN207337465U (en) * | 2017-07-06 | 2018-05-08 | 广州联业商用机器人科技股份有限公司 | A kind of unmanned shop of high in the clouds intelligence management and control |
| CN108564713A (en) * | 2018-03-23 | 2018-09-21 | 刘婧 | A kind of commodity identification of the unattended retail based on composite measurement mode and anti-cheating system and its method |
| CN108564442A (en) * | 2018-04-11 | 2018-09-21 | 合肥美的智能科技有限公司 | Unmanned retail trade system and its control method, goods selling equipment and Cloud Server |
| CN108648334A (en) * | 2018-04-11 | 2018-10-12 | 合肥美的智能科技有限公司 | Self-service cabinet and its abnormal method for controlling reporting, self-service system |
| CN111127174A (en) * | 2020-01-06 | 2020-05-08 | 鄂尔多斯市东驿科技有限公司 | Intelligent unmanned supermarket control system |
| CN112215167A (en) * | 2020-10-14 | 2021-01-12 | 上海爱购智能科技有限公司 | Intelligent store control method and system based on image recognition |
| CN112381982A (en) * | 2020-10-19 | 2021-02-19 | 北京科技大学 | Unmanned supermarket system constructed based on deep learning |
| CN115497055A (en) * | 2022-11-18 | 2022-12-20 | 四川汉唐云分布式存储技术有限公司 | Commodity anti-theft detection method and device for unattended shop and storage medium |
Non-Patent Citations (4)
| Title |
|---|
| A Design of Smart Unmanned Vending Machine for New Retail Based on Binocular Camera and Machine Vision;Lizheng Liu 等;《IEEE Consumer Electronics Magazine》;21-31 * |
| Design of Smart Unstaffed Retail Shop Based on IoT and Artificial Intelligence;JIANQIANG XU 等;《SPECIAL SECTION ON GREEN INTERNET OF THINGS》;147728-147737 * |
| 基于重力感应和目标检测的智能零售柜软件系统设计与实现;汪博;《中国优秀硕士学位论文全文数据库 (工程科技Ⅱ辑)》;C029-728 * |
| 智能无人售货柜系统设计与实现;王晓路 等;《现代电子技术》;第45 卷(第6期);163-168 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117058626A (en) | 2023-11-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN117058626B (en) | Safety monitoring system and method based on intelligent data analysis | |
| CN103733633B (en) | Video analytic system | |
| EP1346577B1 (en) | Method and apparatus to select the best video frame to transmit to a remote station for cctv based residential security monitoring | |
| US6744462B2 (en) | Apparatus and methods for resolution of entry/exit conflicts for security monitoring systems | |
| US8121909B2 (en) | Activity inference and reactive feedback | |
| CN105518755A (en) | Security system, security method, and non-temporary computer-readable medium | |
| CN103714631A (en) | ATM intelligent monitoring system based on human face recognition | |
| CN108205869A (en) | Intelligent household security system | |
| CN110675582A (en) | Automatic alarm method and device | |
| CN113902074A (en) | File management method and system | |
| CN110555932B (en) | Intelligent burglary-resisting door and working method thereof | |
| CN110246292A (en) | Domestic video monitoring method, apparatus and storage medium | |
| CN113781730A (en) | Intelligent supermarket with intelligent monitoring function | |
| CN113256925A (en) | Intelligent building intrusion alarm method, system and storage medium thereof | |
| CN210466514U (en) | Intelligent unmanned security inspection channel system | |
| CN111064931A (en) | System and method for accurately identifying identity of dangerous person | |
| US20160378268A1 (en) | System and method of smart incident analysis in control system using floor maps | |
| CN101808234A (en) | Monitor processing method and system | |
| CN115396591A (en) | Intelligent double-light camera image processing method and device, camera and medium | |
| CN109949454A (en) | A kind of Intelligent human-face identification monitor camera | |
| CN109640041A (en) | Intelligent video analysis system | |
| CN107918990A (en) | A kind of antitheft system for supermarket and method | |
| CN112989993A (en) | Recording method, recording system, and computer-readable storage medium | |
| CN113570767A (en) | Face recognition system based on cloud data and operation method thereof | |
| CN112927450A (en) | Cabinet anti-theft device and method and cabinet |
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 |