CN114897123A

CN114897123A - Perception recognition control system based on big data

Info

Publication number: CN114897123A
Application number: CN202210624916.9A
Authority: CN
Inventors: 邵鸣
Original assignee: Individual
Current assignee: Individual
Priority date: 2022-06-02
Filing date: 2022-06-02
Publication date: 2022-08-12

Abstract

The invention discloses a big data-based perception identification control system, which comprises a data information acquisition module, a perception identification module and a control confirmation module, wherein the data information acquisition module is used for acquiring data information required by unmanned self-service supermarket management, the perception identification module is used for perceiving and identifying articles in the unmanned self-service supermarket and people entering shopping, the control confirmation module is used for confirming and processing the identified information, the perception identification module is connected with the data information acquisition module through a network, the control confirmation module is connected with the perception identification module through a network, the data information acquisition module comprises a supermarket management database, a commodity information input module, an RFID information input module and an identity information input module, the perception identification module comprises a commodity perception submodule and a human body perception submodule, and the human body perception submodule is connected with the commodity perception submodule through a network, the invention has the characteristics of high tag utilization rate and high safety.

Description

Perception identification control system based on big data

Technical Field

The invention relates to the technical field of perception identification, in particular to a perception identification control system based on big data.

Background

The RFID technology is an automatic identification technology, and performs contactless communication using radio frequency. RFID tags can permanently store small amounts of data, which makes them different from typical bar codes. The electromagnetic wave signal emitted by the signal emitter can transmit data and sense the surrounding environment, thereby achieving the purpose of identification. RFID technology has been rapidly applied to real life, such as the fields of automation industry, object positioning and tracking, smart home, unmanned self-service supermarket, etc.

At present, in an unmanned self-service supermarket, a manager attaches an RFID label to each commodity, so that the monitoring and management of the quantity of the commodities are realized, the efficiency is high, and the labor cost is saved. But because the RFID tag can not be recycled, a large amount of electronic tags are consumed and a large amount of electronic garbage is generated; meanwhile, if the consumer intentionally avoids the camera, the RFID label on the commodity is torn off, the equipment cannot sense the commodity in the hands of the customer, and the door can be automatically opened, so that the operation risk of the unmanned self-service supermarket is increased. Therefore, it is necessary to design a big data based sensing and recognition control system with high tag utilization and safety.

Disclosure of Invention

The present invention aims to provide a sensing identification control system based on big data to solve the problems in the background art.

In order to solve the technical problems, the invention provides the following technical scheme: perception discernment control system based on big data, including data information acquisition module, perception identification module and control confirmation module, its characterized in that: the data information acquisition module is used for acquiring data information required by unmanned self-service supermarket management, the perception identification module is used for perceiving and identifying articles in the unmanned self-service supermarket and people entering shopping, the control confirmation module is used for confirming and processing identified information, the perception identification module is connected with the data information acquisition module through a network, and the control confirmation module is connected with the perception identification module through a network.

According to the technical scheme, the data information acquisition module comprises a supermarket management database, a commodity information input module, an RFID information input module and an identity information input module, the supermarket management database is used for storing supermarket information acquired by the data information acquisition module, the commodity information input module is used for inputting commodity information in the unmanned self-service supermarket, the RFID information input module is used for inputting label information in the unmanned self-service supermarket, and the identity information input module is used for inputting customer information entering the unmanned self-service supermarket.

According to the technical scheme, the perception identification module comprises a commodity perception submodule and a human body perception submodule, and the human body perception submodule is connected with the commodity perception submodule through a network;

the commodity sensing submodule comprises a gravity sensing unit, an RFID processing unit and a quantity identification unit, wherein the gravity sensing unit is used for sensing the gravity of goods on shelves in a supermarket in real time, the RFID processing unit is used for carrying out information matching on the sensed goods taken, and the quantity identification unit is used for identifying the quantity of the current goods;

the human body perception submodule comprises a goods taking detection unit and a safety verification unit, the goods taking detection unit is used for detecting the taken and placed goods and the corresponding customer information, and the safety verification unit is used for performing safety verification on whether violation behaviors exist in the supermarket after customer consumption is completed.

According to the technical scheme, the control confirmation module comprises a goods replenishment prompting module and an early warning notification module, the goods replenishment prompting module is used for sending goods replenishment prompts to a warehouse when the condition that the quantity of commodities is insufficient is identified, the early warning notification module is used for sending early warning notifications to customers with illegal behaviors in a supermarket, the goods replenishment prompting module is connected with the quantity identification unit through a network, and the early warning notification module is connected with the safety verification unit through a network.

According to the technical scheme, the operation method of the data information acquisition module mainly comprises the following steps:

step S1: establishing a supermarket management database, and storing commodity information, label information and customer information entering the supermarket in the unmanned self-service supermarket into the database;

step S2: inputting commodity information in the unmanned self-service supermarket into a database, wherein the commodity information comprises commodity positions, types, weights, prices and quantities, and monitoring the change condition of commodities in the supermarket in real time;

step S3: placing each row of commodities on each shelf of the unmanned self-service supermarket in order, placing an RFID tag at the inner side of each row of commodities, placing an RFID antenna at the outer side of each row of commodities, simultaneously recording the position information of the tag and the antenna and the information of the commodities sharing the same row of tag, and storing the position information and the information in a database;

step S4: the entrance guard system with the iris recognition function is arranged on the inner side and the outer side of a door of an unmanned self-service supermarket, a customer needs to recognize the identity when entering and exiting the supermarket, the collected face image information and the time information of entering the supermarket are stored in a database, and meanwhile infrared monitoring equipment is arranged at the RFID label position on the inner side of each row of commodities.

According to the technical scheme, the operation method of the perception identification module mainly comprises the following steps:

step A1: according to the gravity sensing, the number of goods on the goods shelf is calculated in real time, and meanwhile, the RFID tag provides information of the goods to be taken;

step A2: according to the change conditions of commodities sensed by infrared monitoring and gravity in the supermarket, whether the condition that the commodities are taken illegally exists or not is judged and analyzed, and the consumption behaviors of customers are verified.

According to the above technical solution, the step a1 further includes the following steps:

step A11: a gravity sensor is arranged at the bottom of each commodity shelf and used for recording the initial gravity G of the shelf ₀ In the operation process of the unmanned self-service supermarket, the gravity change of the goods shelf is sensed in real time;

step A12: when the gravity sensing unit senses that the gravity is reduced, namely when an article is taken, the RFID tag provides specific information of the taken article;

step A13: setting the initial mass of each commodity as m, taking 'kilogram' as a unit, and the real-time gravity sensed by the gravity sensing unit as G, and calculating the commodity quantity of each row of shelves according to the weight change

And g is a proportionality coefficient, the magnitude of g is about 9.8N/kg, and the quantity of the commodities on the current shelf is obtained according to the relation between the gravity change of the commodities and the product of the initial mass and the proportionality coefficient.

According to the above technical solution, the step a2 further includes the following steps:

step A21: when a customer stays in front of a goods shelf to take goods, the infrared monitoring equipment acquires portrait information, meanwhile, the gravity sensing unit judges whether the customer takes the goods or not, if the sensed weight is reduced, the number of the goods is calculated, and the RFID tag provides specific price information of the goods and corresponds to the portrait information;

step A22: if the gravity of the goods on the goods shelf is reduced in the staying time of the customer in front of the goods shelf, judging that the customer takes the goods at the moment and counting the goods for final settlement, if the gravity of the goods on the goods shelf is increased in the staying time of the customer in front of the goods shelf, judging that the customer puts the goods back at the moment, and removing the goods from the final settlement by the system;

step A23: the system records the quantity and the price of the commodities corresponding to each customer, and the safety verification unit compares the identified commodity information with the price of the commodity in the final settlement after the customer selects the commodity information, so as to judge whether the customer has illegal taking behavior.

According to the technical scheme, the operation method of the control confirmation module mainly comprises the following steps:

step B1: the control confirmation module sets the commodity quantity threshold value to be N after receiving the commodity quantity information N identified by the quantity identification module ₀ When N is present<N ₀ When the system is used, a replenishment prompt is automatically sent to the background by the system, and workers are reminded to perform replenishment operation according to conditions;

step B2: when the condition that the safety verification of the customer fails exists in the supermarket, the control confirmation module automatically sends out an early warning notice, and meanwhile, the exit of the supermarket is closed, so that the customer is reminded to complete the payment of all commodities, and the alarm can be removed, and the customer can leave the supermarket.

Compared with the prior art, the invention has the following beneficial effects: the invention inputs the commodity information in the unmanned self-service supermarket by arranging the data information acquisition module, the perception identification module and the control confirmation module, attaches the RFID label to the inner side of each row of commodities, records the specific information of one row of commodities, simultaneously inputs the identity of a customer entering the supermarket, judges whether illegal commodity taking behaviors exist or not through the gravity sensor at the bottom of each row of goods shelves and the portrait information acquired by infrared monitoring equipment at the inner side of each row of commodities during shopping, judges the customer taking the commodities, records the commodity taking information and the identity information of the customer, compares the commodity taking information with final settlement, judges whether illegal commodity taking behaviors exist or not through safety verification, simultaneously records the balance of the goods on the goods shelves in real time, and sends a replenishment prompt after reaching a threshold value, finally realizes the cyclic utilization of the electronic label of the unmanned self-service supermarket, reduces the generation of electronic rubbish, the number of commodities can be monitored in real time, so that replenishment can be timely carried out, the economic benefit maximization is realized, meanwhile, real-time monitoring is carried out on customers, and the safe operation of the unmanned self-service supermarket is realized.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:

FIG. 1 is a schematic diagram of the system module composition of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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 invention.

Referring to fig. 1, the present invention provides a technical solution: a big data-based perception identification control system comprises a data information acquisition module, a perception identification module and a control confirmation module, wherein the data information acquisition module is used for acquiring data information required by management of an unmanned self-service supermarket, the perception identification module is used for perceiving and identifying articles in the unmanned self-service supermarket and people entering shopping, the control confirmation module is used for confirming and processing the identified information, the perception identification module is connected with the data information acquisition module through a network, the control confirmation module is connected with the perception identification module through a network, the data information acquisition module, the perception identification module and the control confirmation module are arranged for inputting commodity information in the unmanned self-service supermarket, RFID tags are attached to the inner sides of each row of commodities, specific information of a row of commodities is recorded, meanwhile, the identity of customers entering the supermarket is input, in the shopping process, through the gravity inductor of each row of goods shelves bottom, and the portrait information that every row of inboard infrared supervisory equipment of commodity gathered, judge the customer of commodity of taking, record commodity information of taking and customer identity information, contrast with the final settlement, judge whether there is the action of taking commodity of violation through safety verification, the surplus of goods shelves commodity of while real-time recording, and send the suggestion of benefit to the backstage after reaching the threshold value, unmanned self-service supermarket electronic tags's cyclic utilization has finally been realized, the production of electronic waste has been reduced, but real-time supervision commodity quantity, thereby in time carry out the benefit maximize, simultaneously, carry out real time monitoring to customer, realize the safe operation in unmanned self-service supermarket.

The data information acquisition module comprises a supermarket management database, a commodity information input module, an RFID information input module and an identity information input module, the supermarket management database is used for storing supermarket information acquired by the data information acquisition module, the commodity information input module is used for inputting commodity information in the unmanned self-service supermarket, the RFID information input module is used for inputting label information in the unmanned self-service supermarket, and the identity information input module is used for inputting customer information entering the unmanned self-service supermarket.

The perception identification module comprises a commodity perception submodule and a human body perception submodule, and the human body perception submodule is connected with the commodity perception submodule through a network;

the commodity sensing submodule comprises a gravity sensing unit, an RFID processing unit and a quantity identification unit, wherein the gravity sensing unit is used for sensing the gravity of goods on shelves in a supermarket in real time, the RFID processing unit is used for performing information matching on the sensed goods taken, and the quantity identification unit is used for identifying the quantity of the current goods;

the human body perception submodule comprises a goods taking detection unit and a safety verification unit, the goods taking detection unit is used for detecting the taken and placed goods and the corresponding customer information, and the safety verification unit is used for performing safety verification on whether the customer has an illegal behavior in the supermarket after the customer consumes the goods.

The control confirmation module comprises a replenishment prompt module and an early warning notification module, the replenishment prompt module is used for sending replenishment prompts to the warehouse when the condition that the quantity of commodities is insufficient is identified, the early warning notification module is used for sending early warning notifications to customers with illegal behaviors in the supermarket, the replenishment prompt module is connected with the quantity identification unit through a network, and the early warning notification module is connected with the safety verification unit through a network.

The operation method of the data information acquisition module mainly comprises the following steps:

step S3: each row of commodities on each shelf of the unmanned self-service supermarket are placed in order, RFID tags are placed on the inner sides of the rows of commodities, RFID antennas are placed on the outer sides of the rows of commodities, position information of the tags and the antennas and information of the commodities sharing the same row of tags are recorded at the same time and stored in a database, a complete RFID system is composed of an RFID reader, the RFID antennas and passive tags, a backscattering radio link is used for communication, and useful radio frequency characteristics such as receiving phase, receiving signal strength, Doppler frequency shift and the like are output, and the reader reads out information in the tags or writes information required to be stored by the tags into the tags. The receiving and transmitting antenna sends radio frequency signals to the label and receives response signals and label information returned by the label.

Here, it is used to read and write commodity price information;

step S4: the entrance guard system with iris recognition is arranged on the inner side and the outer side of a doorway of an unmanned self-service supermarket, identity recognition is needed when a customer enters and exits the supermarket, collected face image information and time information of entering the supermarket are stored in a database, infrared monitoring equipment is arranged at the RFID label position on the inner side of each row of commodities, the entrance door of the supermarket is opened through iris recognition, the customer can leave the supermarket in a recognition mode through a safety verification party after consumption is completed, if illegal operation occurs, the entrance and exit are closed through recognition by the system until the customer completes payment of all commodities, meanwhile, the attribution of the customer who takes the commodities in the time slot is judged at the RFID label position on the inner side of each row of commodities through infrared monitoring, recording is carried out, and the reference for final price settlement is used for carrying out.

The operation method of the perception identification module mainly comprises the following steps:

Step a1 further includes the steps of:

step A11: a gravity sensor is arranged at the bottom of each commodity shelf and used for recording the initial gravity G of the shelf ₀ In the operation process of the unmanned self-service supermarket, the gravity change of the goods shelf is sensed in real time, when goods on the goods shelf are taken or put down, the gravity change is generated, the gravity sensor at the bottom senses the difference of gravity, and whether the goods are taken or not is judged according to the increase and decrease of the gravity;

step A12: when the gravity sensing unit senses that the gravity is reduced, namely when an article is taken, the RFID tags provide specific information of the taken article at the same time, the RFID tags are arranged on the inner sides of the articles in the same row and can be recycled, the electronic garbage phenomenon caused by the fact that the RFID tags are required to be adhered to each article is avoided, the operation cost of the unmanned self-service supermarket is reduced, and after the gravity sensing unit determines that the article is taken, the RFID tags determine the price information of the taken article for the system to perform safety verification during final settlement;

g is a proportionality coefficient, the size of g is about 9.8N/kg, and the quantity of the commodities on the current shelf is obtained according to the relation between the gravity change of the commodities and the product of the initial mass and the proportionality coefficient.

Step a2 further includes the steps of:

step A22: if the weight of the goods on the goods shelf is reduced in the time that the customer stays in front of the goods shelf, the customer is judged to take the goods at the moment and is counted into the final settlement, if the weight of the goods on the goods shelf is increased in the time that the customer stays in front of the goods shelf, the customer is judged to put the goods back at the moment, the system eliminates the goods from the final settlement, when the fact that the customer stays in front of a certain row of goods shelf is monitored, the weight of the goods shelf is reduced, the customer is judged to take the goods at the moment and records once, meanwhile, as a plurality of customers often take and put down the goods when selecting the goods, under the condition that the weight of the goods shelf is increased, the customer is judged to put the goods back at the moment, the goods are eliminated in the records, and the recorded and eliminated number of the goods are obtained through gravity sensing calculation;

step A23: the system records the quantity and price of the corresponding commodities of each customer, the safety verification unit identifies the commodities according to the identified commodity information after the customers finish selecting, compared with the price of the final settlement, whether the customers have illegal taking behaviors or not is judged, and part of the customers or the low-cost psychology exists, especially the unmanned self-service supermarket feels that no settlement is found after the customers feel that the commodities are taken and the customers cannot find the goods, so the operation risk of the unmanned self-service supermarket is increased, can monitor in real time during the whole purchasing process of the customer, record the quantity information of all commodities taken by the customer, automatically analyze and calculate the price of the commodity to be paid by the customer by the system, compare the price with the price actually paid by the customer, namely, safety verification, the system sends out an early warning notice under the condition of inconsistent comparison, and closes the supermarket exit recognition system, so that the customer is required to complete payment of all commodities, and the operation risk of unmanned self-service supermarket is avoided to the maximum extent.

The operation method of the control confirmation module mainly comprises the following steps:

step B1: the control confirmation module sets the commodity quantity threshold value to be N after receiving the commodity quantity information N identified by the quantity identification module ₀ When N is present<N ₀ When the system automatically sends a goods replenishment prompt to a background to remind workers of performing goods replenishment operation according to the condition, the self-service supermarket is unattended, internal goods are lost, the goods cannot be checked and replenished in time, and the loss of part of economic benefit of the supermarket within a period of time can be caused;

It is noted that, herein, relational terms such as first and second, and the like may be 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. Also, 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.

Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. Perception discernment control system based on big data, including data information acquisition module, perception identification module and control confirmation module, its characterized in that: the data information acquisition module is used for acquiring data information required by unmanned self-service supermarket management, the perception identification module is used for perceiving and identifying articles in the unmanned self-service supermarket and people entering shopping, the control confirmation module is used for confirming and processing identified information, the perception identification module is connected with the data information acquisition module through a network, and the control confirmation module is connected with the perception identification module through a network.

2. The big data based perceptual-recognition control system of claim 1, wherein: the data information acquisition module comprises a supermarket management database, a commodity information input module, an RFID information input module and an identity information input module, the supermarket management database is used for storing supermarket information acquired by the data information acquisition module, the commodity information input module is used for inputting commodity information in the unmanned self-service supermarket, the RFID information input module is used for inputting label information in the unmanned self-service supermarket, and the identity information input module is used for inputting customer information entering the unmanned self-service supermarket.

3. The big data based perceptual-recognition control system of claim 2, wherein: the perception identification module comprises a commodity perception submodule and a human body perception submodule, and the human body perception submodule is connected with the commodity perception submodule through a network;

4. The big data based perceptual-recognition control system of claim 3, wherein: the control confirmation module comprises a replenishment prompting module and an early warning notification module, the replenishment prompting module is used for sending replenishment prompts to the warehouse when the condition that the quantity of commodities is insufficient is identified, the early warning notification module is used for sending early warning notifications to customers with illegal behaviors in the supermarket, the replenishment prompting module is connected with the quantity identification unit through a network, and the early warning notification module is connected with the safety verification unit through a network.

5. The big data based perceptual-recognition control system of claim 4, wherein: the operation method of the data information acquisition module mainly comprises the following steps:

6. The big data based perceptual-recognition control system of claim 5, wherein: the operation method of the perception identification module mainly comprises the following steps:

7. The big data based perceptual-recognition control system of claim 6, wherein: the step A1 further comprises the following steps:

step A13: set the initial mass of each item to m, to "Kilogram is taken as a unit, the real-time gravity sensed by the gravity sensing unit is G, and the commodity quantity of each row of shelves is calculated according to the weight change

8. The big-data based perceptual-recognition control system of claim 7, wherein: the step A2 further comprises the following steps:

step A22: if the gravity of the articles on the goods shelf is reduced in the staying time of the customer before the goods shelf, judging that the customer takes the articles at the moment and counting the articles for final settlement, if the gravity of the articles on the goods shelf is increased in the staying time of the customer before the goods shelf, judging that the customer puts the articles back at the moment, and removing the articles from the final settlement by the system;

9. The big-data based perceptual-recognition control system of claim 8, wherein: the operation method of the control confirmation module mainly comprises the following steps:

step B1: the control confirmation module receives the quotient identified by the quantity identification moduleAfter the product quantity information N is obtained, setting the threshold value of the product quantity as N ₀ When N is less than N ₀ When the system is used, a replenishment prompt is automatically sent to the background by the system, and workers are reminded to perform replenishment operation according to conditions;