CN112818799A - Bank counter seal management method and system - Google Patents
Bank counter seal management method and system Download PDFInfo
- Publication number
- CN112818799A CN112818799A CN202110104525.XA CN202110104525A CN112818799A CN 112818799 A CN112818799 A CN 112818799A CN 202110104525 A CN202110104525 A CN 202110104525A CN 112818799 A CN112818799 A CN 112818799A
- Authority
- CN
- China
- Prior art keywords
- seal
- image
- monitoring image
- monitoring
- bank counter
- 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
Images
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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30232—Surveillance
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Image Analysis (AREA)
- Alarm Systems (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a bank counter seal management method and a system, wherein the method comprises the following steps: acquiring and acquiring a monitoring image of a bank counter in real time, preprocessing the acquired monitoring image, then carrying out reasoning and analysis, and outputting the body position of a worker in the monitoring image and position frames of the worker and different seals in the monitoring image; calculating the Euclidean distance between the center point of the seal and the center point of the worker in the monitoring image, comparing the calculation results with a set threshold value respectively, and finally outputting the comparison results respectively; and the alarm module is used for carrying out seal management alarm according to the comparison result. The invention can realize the intelligent management of the seal through related algorithms by carrying out the target detection of people and the seal on the image shot by the monitoring camera.
Description
Technical Field
The invention relates to the technical field of seal management, in particular to a bank counter seal management method and system.
Background
The seal is a mark printed on a document to show authentication or signing, and is widely applied to various government and government documents, commercial documents and commercial bills, and the document with the seal shows that the document is approved by a sealing organization unit. The existing seal is usually stamped on a document by using a seal, the traditional seal is kept by a specially-assigned person, and a seal keeper stamps according to an authorized stamping application procedure by a seal applicant. The method ensures the safe and standard use of the seal according to the seal use management system and the grade and morality of related workers.
However, the existing seal management and control method cannot completely prevent the situation that the seal is abused, which often causes great loss to stamping units. Once the seal is abused, it is very inconvenient and indirect to trace back the seal usage record and the stamp supervision record, and the workload of tracing back is very large. Therefore, the existing seal control system is not beneficial to improving the seal use efficiency, and the safe use of the seal cannot be ensured.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a bank counter seal management method and system, which can realize intelligent management of seals through relevant algorithms by carrying out object detection on people and seals on images shot by a monitoring camera.
The purpose of the invention is realized by the following technical scheme:
a bank counter stamp management method comprises the following steps:
the method comprises the following steps: acquiring a monitoring image of a bank counter in real time through monitoring equipment, preprocessing the acquired monitoring image, sending the preprocessed image into a target detection model, and acquiring position frames of workers and different seals in the monitoring image;
step two: calculating the center point of the seal according to the position frame of each seal in the monitoring image, calculating the center point of a worker by adopting the same calculation mode as the seal center point, and then calculating the Euclidean distance between the center point of each seal and the center points of all the workers in the monitoring image;
step three: setting corresponding proportional threshold values through the width and height sizes of the monitoring images, respectively calculating threshold values of the seal central point and the worker central point, comparing the proportional threshold values with the threshold values between the calculated seal central point and the worker central point, if the threshold value of the worker central point is larger than the proportional threshold value, considering that bank counter personnel leave, and otherwise, considering that related personnel are still in the scene; if the Euclidean distance between the center point of one seal and the center points of all the workers is larger than the proportional threshold, the seal is judged not to be accommodated.
Specifically, the preprocessing process of the acquired monitoring image in the first step specifically includes:
(1) the process of the adaptive picture scaling of the input image specifically comprises the following steps: firstly, the scaling coefficients of the length and the width are calculated according to the length and the width of the input model. And then selecting the smaller scaling coefficient as the overall scaling coefficient, and multiplying the original length and width by the scaling coefficient to obtain the scaled size. The width of the original image is larger than the height, black edge filling is carried out on the height, the model needs to be sampled by 32 times, so that the size of the picture width is filled to be a multiple of 32, and the difference between the size of the picture broadband after filling and the size of the picture broadband after scaling is minimum. And after calculating the difference value, performing black edge supplement on the upper part and the lower part of the picture.
(2) And after the picture pixel points are divided by 255 for normalization, exchanging channels to obtain the characteristic value of the input model.
Specifically, the pretreatment process of the first step further includes: if the whole monitoring image has no staff image and only has a seal image, alarming each seal; if only the image of the staff exists in the whole image and no seal image exists, no alarm is given.
A bank counter seal management system comprises an image preprocessing module, a target detection module, a central computing module, a comparison module and an alarm module;
the image preprocessing module is used for acquiring and acquiring a monitoring image of a bank counter in real time and preprocessing the acquired monitoring image;
the target detection module is used for reasoning and analyzing the preprocessed monitoring image and outputting position frames of the working personnel and different seals in the monitoring image;
the central calculation module is used for calculating the Euclidean distance between the central point of each seal in the monitoring image and the central points of all the workers in the monitoring image;
the comparison module is used for setting a corresponding proportional threshold according to the width and height sizes of the monitored images, comparing the proportional threshold with the calculated threshold between the seal central point and the worker central point, and finally outputting a comparison result;
the alarm module is used for carrying out seal management alarm according to the comparison result, and simultaneously, when no staff image exists in the whole monitoring image and only a seal image exists, alarm can be carried out on each seal.
The invention has the beneficial effects that: the system model of the invention has simple structure, and is beneficial to being transplanted to various edge devices for operation; the training data required by the model is collected and manufactured simply, the model training time is saved, and the model training efficiency is improved.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Fig. 2 is a schematic diagram of a stamp pattern recognition process according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a target detection model according to an embodiment of the present invention.
Detailed Description
In order to more clearly understand the technical features, objects, and effects of the present invention, embodiments of the present invention will now be described with reference to the accompanying drawings.
In this embodiment, as shown in fig. 1, a method for managing a stamp on a bank counter includes the following steps:
the method comprises the following steps: acquiring a monitoring image of a bank counter in real time through monitoring equipment, preprocessing the acquired monitoring image, sending the preprocessed image into a target detection model, and acquiring position frames of workers and different seals in the monitoring image;
step two: calculating the center point of the seal according to the position frame of each seal in the monitoring image, calculating the center point of a worker by adopting the same calculation mode as the seal center point, and then calculating the Euclidean distance between the center point of each seal and the center points of all the workers in the monitoring image;
step three: setting corresponding proportional threshold values through the width and height sizes of the monitoring images, respectively calculating threshold values of the seal central point and the worker central point, comparing the proportional threshold values with the threshold values between the calculated seal central point and the worker central point, if the threshold value of the worker central point is larger than the proportional threshold value, considering that bank counter personnel leave, and otherwise, considering that related personnel are still in the scene; if the Euclidean distance between the center point of one seal and the center points of all the workers is larger than the proportional threshold, the seal is judged not to be accommodated.
Specifically, the preprocessing process of the acquired monitoring image in the first step specifically includes: (1) the process of the adaptive picture scaling of the input image specifically comprises the following steps: firstly, the scaling coefficients of the length and the width are calculated according to the length and the width of the input model. And then selecting the smaller scaling coefficient as the overall scaling coefficient, and multiplying the original length and width by the scaling coefficient to obtain the scaled size. The width of the original image is larger than the height, black edge filling is carried out on the height, the model needs to be sampled by 32 times, so that the size of the picture width is filled to be a multiple of 32, and the difference between the size of the picture broadband after filling and the size of the picture broadband after scaling is minimum. And after calculating the difference value, performing black edge supplement on the upper part and the lower part of the picture.
(2) And after the picture pixel points are divided by 255 for normalization, exchanging channels to obtain the characteristic value of the input model.
Specifically, the pretreatment process of the first step further includes: if the whole monitoring image has no staff image and only has a seal image, alarming each seal; if only the image of the staff exists in the whole image and no seal image exists, no alarm is given.
A bank counter seal management system comprises an image preprocessing module, a target detection module, a central computing module, a comparison module and an alarm module;
the image preprocessing module is used for acquiring and acquiring a monitoring image of a bank counter in real time and preprocessing the acquired monitoring image;
the target detection module is used for reasoning and analyzing the preprocessed monitoring image and outputting position frames of the working personnel and different seals in the monitoring image;
the central calculation module is used for calculating the Euclidean distance between the central point of each seal in the monitoring image and the central points of all the workers in the monitoring image;
the comparison module is used for setting a corresponding proportional threshold according to the width and height sizes of the monitored images, comparing the proportional threshold with the calculated threshold between the seal central point and the worker central point, and finally outputting a comparison result;
the alarm module is used for carrying out seal management alarm according to the comparison result, and simultaneously, when no staff image exists in the whole monitoring image and only a seal image exists, alarm can be carried out on each seal.
In the embodiment of the invention, the whole process of identifying the seal is shown in fig. 2, the solution firstly carries out preprocessing on an input image, and the preprocessed image is sent into a model for target detection to obtain position frames of people and different seals.
And calculating the central point of the seal according to the position frame of each seal, and obtaining the central point of the person in the same way. And calculating the Euclidean distance between the central point of each seal and the central point of all people in the image.
And setting a corresponding proportional threshold according to the width and height of the image, and calculating the thresholds of the two central points. And comparing the threshold value with the calculated values of the seal and the person center point, if the threshold value is larger than the threshold value, considering that the bank counter person leaves, and otherwise, considering that the related person is still in the scene. If the Euclidean distance between the center point of one seal and all people is larger than the threshold value, the system outputs a warning that the seal is not stored.
In addition, if no person exists in the whole image and only a stamp exists, each stamp can be alarmed. If only people exist in the whole image and no seal exists, no alarm is given.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (4)
1. A bank counter stamp management method is characterized by comprising the following steps:
the method comprises the following steps: acquiring a monitoring image of a bank counter in real time through monitoring equipment, preprocessing the acquired monitoring image, sending the preprocessed image into a target detection model, and acquiring position frames of workers and different seals in the monitoring image;
step two: calculating the center point of the seal according to the position frame of each seal in the monitoring image, calculating the center point of a worker by adopting the same calculation mode as the seal center point, and then calculating the Euclidean distance between the center point of each seal and the center points of all the workers in the monitoring image;
step three: setting corresponding proportional threshold values through the width and height sizes of the monitoring images, respectively calculating threshold values of the seal central point and the worker central point, comparing the proportional threshold values with the threshold values between the calculated seal central point and the worker central point, if the threshold value of the worker central point is larger than the proportional threshold value, considering that bank counter personnel leave, and otherwise, considering that related personnel are still in the scene; if the Euclidean distance between the center point of one seal and the center points of all the workers is larger than the proportional threshold, the seal is judged not to be accommodated.
2. The method for managing stamps on a bank counter according to claim 1, wherein the preprocessing process of the collected monitoring image in the first step specifically comprises:
s101, carrying out adaptive image zooming on an input image, and calculating respective zooming coefficients of length and width according to the length and width of an input model; then, selecting the smaller scaling coefficient as the whole scaling coefficient, and multiplying the original length and width by the scaling coefficient to obtain the scaled size; then black edge filling is carried out on the height, the size of the picture width is filled to be a multiple of 32, and the difference value between the size of the picture broadband after filling and the size of the picture broadband after scaling is the smallest; after the difference value is calculated, black edge supplement is carried out on the upper part and the lower part of the picture;
and S102, after the picture pixel points are divided by 255 for normalization, exchanging channels to obtain the characteristic value of the input model.
3. The method for managing stamps on a bank counter according to claim 1, wherein the preprocessing process of the first step further comprises: if the whole monitoring image has no staff image and only has a seal image, alarming each seal; if only the image of the staff exists in the whole image and no seal image exists, no alarm is given.
4. A bank counter seal management system is characterized by comprising an image preprocessing module, a target detection module, a central calculation module, a comparison module and an alarm module;
the image preprocessing module is used for acquiring and acquiring a monitoring image of a bank counter in real time and preprocessing the acquired monitoring image;
the target detection module is used for reasoning and analyzing the preprocessed monitoring image and outputting position frames of the working personnel and different seals in the monitoring image;
the central calculation module is used for calculating the Euclidean distance between the central point of each seal in the monitoring image and the central points of all the workers in the monitoring image;
the comparison module is used for setting a corresponding proportional threshold according to the width and height sizes of the monitored images, comparing the proportional threshold with the calculated threshold between the seal central point and the worker central point, and finally outputting a comparison result;
the alarm module is used for carrying out seal management alarm according to the comparison result, and simultaneously, when no staff image exists in the whole monitoring image and only a seal image exists, alarm can be carried out on each seal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110104525.XA CN112818799B (en) | 2021-01-26 | 2021-01-26 | Bank counter seal management method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110104525.XA CN112818799B (en) | 2021-01-26 | 2021-01-26 | Bank counter seal management method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112818799A true CN112818799A (en) | 2021-05-18 |
| CN112818799B CN112818799B (en) | 2022-07-05 |
Family
ID=75859305
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110104525.XA Active CN112818799B (en) | 2021-01-26 | 2021-01-26 | Bank counter seal management method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112818799B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030139909A1 (en) * | 2001-12-07 | 2003-07-24 | Tamotsu Ozawa | Inspection system for and method of confirming soundness of transported object |
| CN101704319A (en) * | 2009-11-18 | 2010-05-12 | 成都方程式电子有限公司 | Intelligent electric control seal system |
| CN103310552A (en) * | 2013-03-13 | 2013-09-18 | 四川天翼网络服务有限公司 | Video superimposition system and method suitable for financial client business system of counter and ATM (automatic teller machine) |
| CN106503655A (en) * | 2016-10-24 | 2017-03-15 | 中国互联网络信息中心 | A kind of electric endorsement method and sign test method based on face recognition technology |
| CN106558061A (en) * | 2015-09-29 | 2017-04-05 | 上海悠络客电子科技有限公司 | A kind of cash register loss prevention method and system based on cloud computing |
| CN109605957A (en) * | 2019-01-21 | 2019-04-12 | 宁波喜印科技有限公司 | A kind of intelligence seal |
| CN109635878A (en) * | 2018-12-24 | 2019-04-16 | 山东环渤海艺术大数据科技有限公司 | A kind of painting and calligraphy fidelity identification method and device |
| CN110956102A (en) * | 2019-11-19 | 2020-04-03 | 上海眼控科技股份有限公司 | Bank counter monitoring method and device, computer equipment and storage medium |
-
2021
- 2021-01-26 CN CN202110104525.XA patent/CN112818799B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030139909A1 (en) * | 2001-12-07 | 2003-07-24 | Tamotsu Ozawa | Inspection system for and method of confirming soundness of transported object |
| CN101704319A (en) * | 2009-11-18 | 2010-05-12 | 成都方程式电子有限公司 | Intelligent electric control seal system |
| CN103310552A (en) * | 2013-03-13 | 2013-09-18 | 四川天翼网络服务有限公司 | Video superimposition system and method suitable for financial client business system of counter and ATM (automatic teller machine) |
| CN106558061A (en) * | 2015-09-29 | 2017-04-05 | 上海悠络客电子科技有限公司 | A kind of cash register loss prevention method and system based on cloud computing |
| CN106503655A (en) * | 2016-10-24 | 2017-03-15 | 中国互联网络信息中心 | A kind of electric endorsement method and sign test method based on face recognition technology |
| CN109635878A (en) * | 2018-12-24 | 2019-04-16 | 山东环渤海艺术大数据科技有限公司 | A kind of painting and calligraphy fidelity identification method and device |
| CN109605957A (en) * | 2019-01-21 | 2019-04-12 | 宁波喜印科技有限公司 | A kind of intelligence seal |
| CN110956102A (en) * | 2019-11-19 | 2020-04-03 | 上海眼控科技股份有限公司 | Bank counter monitoring method and device, computer equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 宋禹廷: "《基于机器视觉的印章识别系统设计与实现》", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112818799B (en) | 2022-07-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107808139B (en) | Real-time monitoring threat analysis method and system based on deep learning | |
| WO2019114145A1 (en) | Head count detection method and device in surveillance video | |
| CN110348312A (en) | A kind of area video human action behavior real-time identification method | |
| CN111325051B (en) | Face recognition method and device based on face image ROI selection | |
| CN111563557A (en) | Method for detecting target in power cable tunnel | |
| CN105761261A (en) | Method for detecting artificial malicious damage to camera | |
| CN104658152A (en) | Video-based moving object intrusion alarm method | |
| WO2022078353A1 (en) | Vehicle driving state determination method and apparatus, and computer device and storage medium | |
| CN110532881A (en) | A kind of recognition of face security alarm method based on embedded artificial intelligent chip | |
| CN112163572A (en) | Method and device for identifying object | |
| CN111723656B (en) | Smog detection method and device based on YOLO v3 and self-optimization | |
| CN111325048A (en) | Personnel gathering detection method and device | |
| CN115857413B (en) | Intelligent building safety monitoring system and method based on Internet of things | |
| CN116319034A (en) | Security monitoring management system based on multimedia teleconference information | |
| CN102867214B (en) | Counting management method for people within area range | |
| CN116419059A (en) | Automatic monitoring method, device, equipment and medium based on behavior label | |
| CN111767881A (en) | Self-adaptive crowd density estimation device based on AI technology | |
| CN117079197B (en) | Intelligent building site management method and system | |
| CN113052125B (en) | Construction site violation image recognition and alarm method | |
| CN112818799B (en) | Bank counter seal management method and system | |
| CN110659997A (en) | Data cluster identification method and device, computer system and readable storage medium | |
| CN103824074A (en) | Crowd density estimation method based on background subtraction and texture features and system | |
| CN112686180A (en) | Method for calculating number of personnel in closed space | |
| CN110502605B (en) | Electric power asset LCC cost collection system based on artificial intelligence technology | |
| CN116958085A (en) | Leak detection behavior compliance auditing method and device, electronic equipment and storage medium |
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 | ||
| CP01 | Change in the name or title of a patent holder |
Address after: Third floor, No.10, Jiuxing Avenue, high tech Zone, Chengdu, Sichuan 610041 Patentee after: Sichuan Tianyi Network Co.,Ltd. Address before: Third floor, No.10, Jiuxing Avenue, high tech Zone, Chengdu, Sichuan 610041 Patentee before: SICHUAN TIANYI NETWORK SERVICE Co.,Ltd. |
|
| CP01 | Change in the name or title of a patent holder | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A method and system for managing bank counter seals Effective date of registration: 20230804 Granted publication date: 20220705 Pledgee: Zheshang Bank Co.,Ltd. Chengdu Branch Pledgor: Sichuan Tianyi Network Co.,Ltd. Registration number: Y2023510000192 |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right |