CN111757067A - Expressway service area cash register inspection system and method based on video AI - Google Patents
Expressway service area cash register inspection system and method based on video AI Download PDFInfo
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- CN111757067A CN111757067A CN202010652379.XA CN202010652379A CN111757067A CN 111757067 A CN111757067 A CN 111757067A CN 202010652379 A CN202010652379 A CN 202010652379A CN 111757067 A CN111757067 A CN 111757067A
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- H—ELECTRICITY
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- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- H—ELECTRICITY
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Abstract
The invention discloses a video AI-based highway service area cash register system and a video AI-based highway service area cash register method, which are developed by means of new-generation information technical means such as Internet of things, big data, AI and the like aiming at the problems existing in the cash register check of shops in a highway service area. The following objectives are achieved: the real-time dynamic monitoring and control of the cashier process of the service area by companies of different levels are realized; the uniform aggregation and sharing of the cashier videos in the service area are realized; the anti-leakage blockage, leakage detection and income increase in the cashier process are realized, and the cashier supervision is strengthened; effectively prevent the illegal action of cashier in the cash registering process.
Description
Technical Field
The invention relates to the field of cashier check of stores in an expressway service area, in particular to an expressway service area cashier check system and method based on video AI.
Background
The cash registering process of the stores in the expressway service area does not form an effective supervision mechanism, cash registering personnel and the cash registering process cannot be supervised and checked in real time, past cash registering video monitoring can only be matched and played with cash registering order data, and intelligent suspected missed-order event identification cannot be carried out. Therefore, a cash check system for stores in the service area of the expressway based on the video AI technology is developed. The system is mainly based on AI videos, the cashing video condition of the cashier desk is monitored in real time, the cashing data abnormity analysis is carried out, the daily rule of the cashing business and the video playback are combined, the automatic cashing inspection is carried out, the behaviors of suspected running orders, missed orders and the like are found in time, and the accurate cashing inspection is realized.
Traditional cash register video monitoring cannot intelligently check suspicious missed cash register event behaviors; the traditional cash-receiving video monitoring inspection efficiency is low, and the inspection personnel can complete inspection only by fully covering video examination films; most of traditional cash register monitoring systems acquire cash register data by intercepting printer tickets, which causes low recognition accuracy and is easy to generate wrong recognition.
Disclosure of Invention
The invention aims to provide a system and a method for checking cash in a highway service area based on video AI.
The technical scheme adopted by the invention is as follows:
a highway service area cash register inspection system based on video AI comprises a cash register inspection terminal and a camera, wherein the camera is arranged in a service area to collect cash register area pictures of a cash register and convert the cash register area pictures into video AI vectorized data, the cash register inspection terminal, the camera and the cash register are connected with a switch together and are connected with a cloud data center through the switch, the switch uploads the obtained cash register system order data and the video AI vectorized data to a cloud data center in real time, the cloud data center switch carries out correlation comparison processing on the order data and the video AI vectorized data to generate suspicious cash register single row, the cloud data center provides calling services of the order data and the video pictures for the cash register inspection terminal, and a user searches for the suspicious data through auxiliary manual screening in the cash register inspection terminal to find out cash register 'leakage and leakage' behaviors.
Furthermore, one of the output ends of the camera is connected with a cash register for a cashier to monitor the cash register area.
Furthermore, a camera adopts video AI equipment supporting judgment of a red line area, and the red line area is set in the system according to an actual cash register area; and judging the suspected cash-receiving event by judging whether the stay time of the person in the red line area is more than 30 seconds.
Further, the video of each management company, the opened company and the service area store is presented in the form of a tree diagram at the cash check terminal.
Furthermore, the switch is provided with NVR equipment, and the NVR equipment stores video data collected by the camera.
Further, the cloud data center comprises a database server, a data processing server, an ISC video server and a video routing server, wherein the database server is used for storing order data of the cash register system, the data processing server is used for performing correlation comparison processing on video AI vectorized data and the order data to generate suspicious cash missing line, the ISC video server is used for storing video pictures uploaded by a service area, and the ISC video server provides video calling service for the cash checking terminal through the video routing server.
Further, the cloud data center establishes association between the cash order data and the video event data, and gives an alarm prompt for the existence of suspicious cash video.
A cash check method for a highway service area based on video AI comprises the following steps:
step 1, a camera collects a cash register area picture of a cash register and converts the picture into video AI vectorized data;
step 2, the cloud data center acquires video AI vectorization data and order data of the cash register;
step 3, the cloud data center establishes association between the cash order data and the video event data;
step 4, the cloud data center checks the cash register video to find and calibrate suspected missed bill events, and sends out a prompt through the cash register check terminal;
step 5, a user searches for suspected missed order events through the cash check terminal by auxiliary manual screening to determine the behavior of finding out cash running, falsifying and dropping, and then confirms suspicious orders;
and 6, the cloud data center collects and stores the checked order data into a database server.
Further, the check of the cash register video in step 4 specifically includes the following steps:
and (3) checking the cash order video: video check is carried out according to the transaction time of each order, whether the order is generated at the transaction time is checked, and details can be checked and an order transaction video can be played;
video average division checking: performing video check according to the peak time and the non-peak time, and checking whether the video order is consistent with the order number of the database;
video order division and checking: video checking is carried out according to the interval time of the order, and whether the order is missed or not is checked;
checking suspected missed bills: and checking whether a corresponding order video is generated when the cash event occurs, and if not, determining that the order is suspected to be missed.
Further, the specific calibration step in step 4 is:
step 4-1, automatically matching the suspected cash register event with the cash register order data, and intercepting a suspected missed event video;
and 4-2, once suspected cash register events which cannot be matched are found, the cash register tables, the event time and the event video information of the events are stored in a centralized mode to serve as suspected missed-order events, and multi-condition quick inquiry of the suspected missed-order events is provided.
Further, in step 4, an alarm prompt is given to the corresponding service area for the suspicious cash register video. Specifically, a cashier is reminded through a cash register or an audit person is reminded through a cash check terminal.
Further, in the step 5, the cashier check terminal acquires order data and video AI vectorized data from the cloud data center, the user detects the cashier video through the cashier check terminal during manual auxiliary screening so as to detect the time of entering and exiting the cashier area of the user and mark a progress bar of the playback video, and meanwhile, the cashier check terminal provides a function of storing the playback video in the cashier process.
Furthermore, the cashier check terminal in the step 5 counts the suspicious records of the check and displays the suspicious records according to the hierarchy and the service area; in the step 5, the check data of the cashier check terminal is generated in real time by selecting dates, the suspicious records, the check effectiveness and the check number of each month can be displayed in a list, and the details can be checked; inquiring suspected bill missing conditions according to average interval time or inquiring suspected bill missing events according to a time period without an order and carrying out statistical analysis on the suspected bill missing events aiming at the suspected cash registering events intelligently checked out; and confirming the suspected missed single event as the missed single event to be subjected to actual inspection and subsequent processing functions.
By adopting the technical scheme, aiming at the problems existing in store cash check of the expressway service area, the expressway service area cash check system based on the video AI is developed by means of new-generation information technical means such as the Internet of things, big data, AI and the like, and the aim of the expressway service area cash check system is to monitor the cash register situation of the service area in real time through the video, observe and record cash registers and cash register processes, check past cash register videos, implement effective supervision, prevent loopholes existing in the cash register process of the service area and strengthen dynamic management on the cash register process of the service area. The following objectives are achieved: the real-time dynamic monitoring and control of the cashier process of the service area by companies of different levels are realized; the uniform aggregation and sharing of the cashier videos in the service area are realized; the anti-leakage blockage, leakage detection and income increase in the cashier process are realized, and the cashier supervision is strengthened; effectively prevent the illegal action of cashier in the cash registering process.
Drawings
The invention is described in further detail below with reference to the accompanying drawings and the detailed description;
FIG. 1 is a schematic diagram of a cashier check system for a service area of a highway based on video AI according to the present invention;
FIG. 2 is a schematic diagram of the field layout of the service area of the present invention;
fig. 3 is a flow chart of a cash check method for a highway service area based on video AI according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
As shown in fig. 1 or fig. 2, a video probe is arranged above a cashier desk in a service area, the video probe accesses a cloud data center through the internet, a background system automatically associates cash order data with video event data, an alarm is given for suspicious cash video, or suspicious data is searched in the system through auxiliary manual screening, and the behavior of cash registering "running and leaking" is found as much as possible. In particular, the invention discloses a cash check system for a highway service area based on video AI, the system comprises a cash register check terminal and a camera, wherein the camera is arranged in a service area and used for collecting a cash register area picture of a cash register and converting the cash register area picture into video AI vectorized data, the cash register check terminal, the camera and the cash register are connected with a switch together and connected with a cloud data center through the switch, the switch uploads the obtained cash register system order data and the video AI vectorized data to the cloud data center in real time, the cloud data center switch carries out correlation comparison processing on the order data and the video AI vectorized data to generate suspicious cash register missing single row, the cloud data center provides calling service of the order data and the video picture for the cash register check terminal, and a user searches for the suspicious data through auxiliary manual screening in the cash register check terminal to find out cash register 'running and dropping' behaviors.
Furthermore, one of the output ends of the camera is connected with a cash register for a cashier to monitor the cash register area.
Furthermore, a camera adopts video AI equipment supporting judgment of a red line area, and the red line area is set in the system according to an actual cash register area; and judging the suspected cash-receiving event by judging whether the stay time of the person in the red line area is more than 30 seconds.
Further, the video of each management company, the opened company and the service area store is presented in the form of a tree diagram at the cash check terminal.
Furthermore, the switch is provided with NVR equipment, and the NVR equipment stores video data collected by the camera.
Further, the cloud data center comprises a database server, a data processing server, an ISC video server and a video routing server, wherein the database server is used for storing order data of the cash register system, the data processing server is used for performing correlation comparison processing on video AI vectorized data and the order data to generate suspicious cash missing line, the ISC video server is used for storing video pictures uploaded by a service area, and the ISC video server provides video calling service for the cash checking terminal through the video routing server.
Further, the cloud data center establishes association between the cash order data and the video event data, and gives an alarm prompt for the existence of suspicious cash video.
As shown in fig. 3, the present invention also discloses a cash check method for expressway service areas based on video AI, which comprises the following steps:
step 1, a camera collects a cash register area picture of a cash register and converts the picture into video AI vectorized data;
step 2, the cloud data center acquires video AI vectorization data and order data of the cash register;
step 3, the cloud data center establishes association between the cash order data and the video event data;
step 4, the cloud data center checks the cash register video to find and calibrate suspected missed bill events, and sends out a prompt through the cash register check terminal;
step 5, a user searches for suspected missed order events through the cash check terminal by auxiliary manual screening to determine the behavior of finding out cash running, falsifying and dropping, and then confirms suspicious orders;
and 6, the cloud data center collects and stores the checked order data into a database server.
Further, the check of the cash register video in step 4 specifically includes the following steps:
and (3) checking the cash order video: video check is carried out according to the transaction time of each order, whether the order is generated at the transaction time is checked, and details can be checked and an order transaction video can be played;
video average division checking: performing video check according to the peak time and the non-peak time, and checking whether the video order is consistent with the order number of the database;
video order division and checking: video checking is carried out according to the interval time of the order, and whether the order is missed or not is checked;
checking suspected missed bills: and checking whether a corresponding order video is generated when the cash event occurs, and if not, determining that the order is suspected to be missed.
Further, the specific calibration step in step 4 is:
step 4-1, automatically matching the suspected cash register event with the cash register order data, and intercepting a suspected missed event video;
and 4-2, once suspected cash register events which cannot be matched are found, the cash register tables, the event time and the event video information of the events are stored in a centralized mode to serve as suspected missed-order events, and multi-condition quick inquiry of the suspected missed-order events is provided.
Further, in step 4, an alarm prompt is given to the corresponding service area for the suspicious cash register video. Specifically, a cashier is reminded through a cash register or an audit person is reminded through a cash check terminal.
Further, in the step 5, the cashier check terminal acquires order data and video AI vectorized data from the cloud data center, the user detects the cashier video through the cashier check terminal during manual auxiliary screening so as to detect the time of entering and exiting the cashier area of the user and mark a progress bar of the playback video, and meanwhile, the cashier check terminal provides a function of storing the playback video in the cashier process.
Furthermore, the cashier check terminal in the step 5 counts the suspicious records of the check and displays the suspicious records according to the hierarchy and the service area; in the step 5, the check data of the cashier check terminal is generated in real time by selecting dates, the suspicious records, the check effectiveness and the check number of each month can be displayed in a list, and the details can be checked; inquiring suspected bill missing conditions according to average interval time or inquiring suspected bill missing events according to a time period without an order and carrying out statistical analysis on the suspected bill missing events aiming at the suspected cash registering events intelligently checked out; and confirming the suspected missed single event as the missed single event to be subjected to actual inspection and subsequent processing functions.
By adopting the technical scheme, aiming at the problems existing in store cash check of the expressway service area, the expressway service area cash check system based on the video AI is developed by means of new-generation information technical means such as the Internet of things, big data, AI and the like, and the aim of the expressway service area cash check system is to monitor the cash register situation of the service area in real time through the video, observe and record cash registers and cash register processes, check past cash register videos, implement effective supervision, prevent loopholes existing in the cash register process of the service area and strengthen dynamic management on the cash register process of the service area. The following objectives are achieved: the real-time dynamic monitoring and control of the cashier process of the service area by companies of different levels are realized; the uniform aggregation and sharing of the cashier videos in the service area are realized; the anti-leakage blockage, leakage detection and income increase in the cashier process are realized, and the cashier supervision is strengthened; effectively prevent the illegal action of cashier in the cash registering process.
It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. The embodiments and features of the embodiments in the present application may be combined with each other without conflict. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the detailed description of the embodiments of the present application is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Claims (10)
1. The utility model provides a highway service area cashier check system based on video AI which characterized in that: the system comprises a cash register check terminal and a camera, wherein the camera is arranged in a service area and used for collecting a cash register area picture of a cash register and converting the cash register area picture into video AI vectorized data, the cash register check terminal, the camera and the cash register are connected with a switch together and connected with a cloud data center through the switch, the switch uploads the obtained cash register system order data and the video AI vectorized data to the cloud data center in real time, the cloud data center switch carries out correlation comparison processing on the order data and the video AI vectorized data to generate suspicious cash register missing single lines and sends an alarm prompt, the cloud data center provides calling service of the order data and the video picture for the cash register check terminal, and a user searches for the suspicious data through auxiliary manual screening in the cash register check terminal to find out cash register missing, overflow and drip leakage behaviors.
2. The video AI-based cashier check system for the service area of the highway according to claim 1, wherein: videos of each management company, the opened companies and the service area store are presented in the cash check terminal in a form of a tree.
3. The video AI-based cashier check system for the service area of the highway according to claim 1, wherein: the camera adopts video AI equipment supporting red line area judgment, and sets a red line area in the system according to an actual cash register area; and judging the suspected cash-receiving event by judging whether the stay time of the person in the red line area is more than 30 seconds.
4. The video AI-based cashier check system for the service area of the highway according to claim 1, wherein: be equipped with NVR equipment on the switch, NVR equipment stores the video data that the camera was gathered.
5. The video AI-based cashier check system for the service area of the highway according to claim 1, wherein: the cloud data center comprises a database server, a data processing server, an ISC video server and a video routing server, wherein the database server is used for storing order data of the cash register system, the data processing server is used for carrying out correlation comparison processing on video AI vectorization data and the order data to generate suspicious cash missing row, the ISC video server is used for storing video pictures uploaded by a service area, and the ISC video server provides video calling service for the cash checking terminal through the video routing server.
6. A highway service area cash register inspection method based on video AI, which adopts the highway service area cash register inspection system based on video AI as claimed in any one of claims 1 to 5, and is characterized in that: the method comprises the following steps:
step 1, a camera collects a cash register area picture of a cash register and converts the picture into video AI vectorized data;
step 2, the cloud data center acquires video AI vectorization data and order data of the cash register;
step 3, the cloud data center establishes association between the cash order data and the video event data;
step 4, the cloud data center checks the cash register video to find and calibrate suspected missed bill events, and sends out a prompt through the cash register check terminal;
step 5, a user searches for suspected missed order events through the cash check terminal by auxiliary manual screening to determine the behavior of finding out cash running, falsifying and dropping, and then confirms suspicious orders;
and 6, the cloud data center collects and stores the checked order data into a database server.
7. The video AI-based cashier check method for the service areas of the highways according to claim 6, wherein: the check of the cash video in the step 4 specifically comprises the following steps:
and (3) checking the cash order video: video check is carried out according to the transaction time of each order, whether the order is generated at the transaction time is checked, and details can be checked and an order transaction video can be played;
video average division checking: performing video check according to the peak time and the non-peak time, and checking whether the video order is consistent with the order number of the database;
video order division and checking: video checking is carried out according to the interval time of the order, and whether the order is missed or not is checked;
checking suspected missed bills: and checking whether a corresponding order video is generated when the cash event occurs, and if not, determining that the order is suspected to be missed.
8. The video AI-based cashier check method for the service areas of the highways according to claim 6, wherein: the specific calibration step of the step 4 is as follows:
step 4-1, automatically matching the suspected cash register event with the cash register order data, and intercepting a suspected missed event video;
and 4-2, once suspected cash register events which cannot be matched are found, the cash register tables, the event time and the event video information of the events are stored in a centralized mode to serve as suspected missed-order events, and multi-condition quick inquiry of the suspected missed-order events is provided.
9. The video AI-based cashier check method for the service areas of the highways according to claim 6, wherein: and 5, the cashier check terminal acquires order data and video AI vectorized data from the cloud data center, a user detects cashier videos through the cashier check terminal during manual auxiliary screening so as to detect the time of entering and exiting a cashier area and mark progress bars of the replayed videos, and meanwhile, the cashier check terminal provides a function of saving the replayed video videos in the cashier process.
10. The video AI-based cashier check method for the service areas of the highways according to claim 6, wherein: the cashier check terminal in the step 5 counts the suspicious records of the check and displays the suspicious records according to the hierarchy and the service area; in the step 5, the check data of the cashier check terminal is generated in real time by selecting dates, the suspicious records, the check effectiveness and the check number of each month can be displayed in a list, and the details can be checked; inquiring suspected bill missing conditions according to average interval time or inquiring suspected bill missing events according to a time period without an order and carrying out statistical analysis on the suspected bill missing events aiming at the suspected cash registering events intelligently checked out; and confirming the suspected missed single event as the missed single event to be subjected to actual inspection and subsequent processing functions.
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Application publication date: 20201009 |