CN116451727A - Method for continuously coding RFID (radio frequency identification) tag based on artificial intelligence - Google Patents
Method for continuously coding RFID (radio frequency identification) tag based on artificial intelligence Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 58
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- 238000005516 engineering process Methods 0.000 claims abstract description 13
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- G—PHYSICS
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- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
Abstract
The invention discloses a method for continuously coding RFID labels based on artificial intelligence, which comprises the following steps: reading an RFID tag in the file establishing area to obtain a unique identifier thereof, and creating an RFID tag information file; image acquisition is carried out on objects in the operation area; identifying the collected image content to obtain printed label content, and recording the printed label content to an RFID label information file; coding the identified content according to the corresponding coding rule to obtain a coding result; and writing the coding result into the RFID tag to finish coding. The beneficial effects of the invention are as follows: by integrating and applying the radio frequency technology, the image recognition technology and the sensing technology to the RFID coding scene, different scene conditions in the coding process can be judged, and the speed, accuracy, stability, error correction and traceability of the coding process are improved.
Description
Technical Field
The invention belongs to the technical field of radio frequency identification, and particularly relates to a method for continuously coding an RFID tag based on artificial intelligence.
Background
Radio Frequency Identification (RFID) is an abbreviation of Radio Frequency Identification, is one of automatic identification technologies, and performs non-contact two-way data communication in a wireless radio frequency mode, and reads and writes a recording medium (an electronic tag or a radio frequency card) in a wireless radio frequency mode, so as to achieve the purposes of identification and data exchange.
The printed label is a common commodity information carrier, and the label is provided with the visual data of the printed bar code, the number, the two-dimensional code and other identification commodity information, and the printed label has the problems of easy damage, peeling, aging and the like due to the characteristics of the printed matter, so that the commodity information is difficult to recognize. RFID tags are a more reliable information carrier than printed labels; there is therefore an increasing need for RFID coding of item information on printed labels. At present, RFID tags can be divided into two types, namely, the body of the RFID tag is provided with printed article information, namely, visual data and an RFID chip are integrated, and aiming at the RFID tag, the printed article information attached to the RFID tag is identified and then written into the internal chip through encoding, or the RFID read-write code is firstly printed, and the visual data is printed; the other type is that the body does not contain printed article information, and the acquired image needs to be read from another printed label (or equivalent identification information such as a two-dimensional code on a package) and identified, and then the acquired image is encoded and written into an internal chip of the package.
In the coding process, depending on whether a printed label (or equivalent identification information) has been attached to an article, two cases are also classified:
1. for labels not attached to articles
In this case, the printed label is a planar print; the printed labels can be conveniently assisted by automatic equipment such as a conveying device, a positioning device and the like, and are placed under the code reader one by one for identification.
2. The printed labels having been attached to articles or to packages of articles
In this case, if the specifications of the articles are consistent, the printed labels can be identified in batches by referring to the former case; however, if different kinds of articles with different specifications are mixed together, the printed labels of the articles can only be placed under the code reader one by one manually and are aligned to the code reader for identification. The operation of manually placing objects and aligning the printed label to the code reader greatly compromises the operation efficiency of the link; even after the reading of the article is finished, the article always needs to wait for the encoding and the coding to be finished in situ, so that the whole process is further prolonged; and moreover, due to the fact that errors are easy to occur in manual operation, the problems of coding errors, missing coding and the like are often caused, the efficiency and accuracy of coding links are more affected, and the follow-up check and error correction are difficult.
In addition, the printed labels on different articles are often not uniform in the expression form of the content, and the recognition difficulty of the traditional code reading mode is increased; factors such as antenna characteristics, installation positions and the like in the RFID tags on different articles also have great differences, so that the common RFID reader-writer is difficult to stably and efficiently work under the working conditions.
Disclosure of Invention
In order to solve the problems, the invention provides a method for continuously coding RFID labels based on artificial intelligence, which comprises the following steps:
s100, tag profiling
Reading an RFID tag in the gear establishing area to obtain a unique identifier thereof; judging whether the unique identification information file exists in the system or not according to the condition (a); condition (b) whether the RFID tag is a blank tag to be coded;
if the condition (a) is judged to be no and the condition (b) is judged to be yes, the RFID tag information file is newly established, and the information file comprises file creation time and the judging result of the condition (b); s200 is executed;
when the condition (a) is judged to be yes and the condition (b) is judged to be yes, inquiring the information file corresponding to the unique identifier; when the RFID tag information file has the encoding result, executing S400, otherwise executing S200;
when the condition (b) is judged to be negative, outputting prompt information;
s200, identification
Image acquisition is carried out on objects in the operation area; identifying the collected image content by adopting an artificial intelligence algorithm subjected to deep learning to obtain printed label content; if the difference between the RFID tag reading time and the time when the identification of the printed tag content is completed is smaller than a preset threshold value, recording the printed tag content into a corresponding RFID tag information file;
s300, coding
Encoding the content of the printed label according to a corresponding coding rule to obtain a coding result, and recording the coding result to a corresponding RFID label information file;
s400, coding
And (3) waking up the RFID tag in the coding area by using the unique identifier, and writing the corresponding coding result into the RFID tag to finish coding.
Preferably, the means for image acquisition in step S200 are a plurality of cameras for photographing the object from different angles.
Preferably, the method further comprises the step of S500 of monitoring the attribute and the state of the article, identifying the image by adopting an artificial intelligence algorithm through deep learning, and judging the attribute information and the state information of the article.
Preferably, in step S500, when the difference between the time of determining the status information of the article and the time of completing the identification of the content of the printed label is smaller than a preset threshold, the attribute information and the status information of the current article are recorded in the corresponding RFID tag information file.
Preferably, when the object state is that the object has moved out of the operation area and does not enter the coding area, and the corresponding RFID tag is a blank tag to be coded, a prompt message is output.
Preferably, the judging of the article state information further comprises one or a combination of a plurality of modes of optical sensing, microwave sensing, infrared sensing and weight sensing.
Preferably, the method further comprises step S610 of obtaining the position of the RFID tag in the coding region; the specific mode is to establish a space coordinate system of the coding region, and determine the space coordinate of the RFID tag through one or more of the combination of the RFID positioning technology and the image recognition technology.
Preferably, the RFID tag further comprises S620, calculating coding adjustment parameters according to the space coordinates of the RFID tag and outputting the coding adjustment parameters to a reader-writer module for coding; s630, according to the coding adjustment parameters, the reader-writer module for coding adjusts the settings, wherein the adjusted settings comprise radio frequency power and antenna parameters.
Preferably, the method further comprises step S700, wherein the interaction module performs real-time visual display on the RFID tag information file.
Preferably, the method further comprises the step S800 of carrying out video acquisition, processing and storage on the coding process; adding one or several time stamps in the timeline of the video file for locating to the key frames; the time stamp corresponds to one or several moments in the RFID tag information file.
The invention has the advantages that:
1. the image acquisition, identification and radio frequency code reading and writing processes can run synchronously, and the code marking process is specially optimized under the code marking scene of the articles with different specifications and different types aiming at the printing information, so that the articles enter the working area and can leave the working area after the printing label content identification link is completed, the coding link and the code marking link can be completed in a delayed manner, the efficiency bottleneck of the whole process caused by the coding link and the code marking link is avoided, and continuous code marking is realized.
2. And recording the whole coding process, and associating and binding the coding state, the article information, the coding result and the time of each operation with the unique identification code of the RFID tag, so that the whole coding process can be tracked and traced.
3. And the abnormal conditions in the coding process are judged, recorded and prompted by combining radio frequency identification, image identification and scene modeling, so that the abnormal conditions are conveniently removed, and the influence of the abnormal conditions on the whole coding process is reduced.
4. The printing label is identified in real time by utilizing the assistance of artificial intelligence, and the operation of aligning a code reader is not needed any more in cooperation with the multi-angle acquisition of images by a plurality of cameras, so that the speed and the accuracy of a label identification link are improved.
5. And combining RFID positioning and image recognition positioning, determining coding adjustment parameters, so that radio frequency power and antenna parameters can be dynamically adjusted according to the positions of the articles and the labels, and the accuracy and high adaptability of reading and writing codes are ensured.
6. The video monitoring is carried out on the whole coding process, and the time marks of important events are acquired in real time and encoded in the video, so that the video review can be accurately positioned, and the backtracking of the coding process is facilitated.
In summary, the invention integrates and applies the radio frequency technology, the image recognition technology and the sensing technology in the RFID coding scene, so that different scene conditions in the coding process can be distinguished, and the speed, accuracy, stability, error correction and traceability of the coding process are improved.
Drawings
Fig. 1 is a schematic flow chart of embodiment 1 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 accompanying drawings in the embodiments of the present invention.
Example 1
The method for continuously coding the RFID tag based on the artificial intelligence comprises the following steps:
s100, tag profiling
Reading an RFID tag in the gear establishing area to obtain a unique identifier thereof; judging whether the unique identification information file exists in the system or not according to the condition (a); condition (b) whether the RFID tag is a blank tag to be coded.
The identification code UID and the tag identification number TID of the RFID tag can be used as unique identifications of the RFID tag, and in the implementation process, one or both of the identification code UID and the tag identification number TID can be read; the profiling area is determined by the read-write range of the reader-writer module for reading the RFID tag, and the read-write range is adapted to the physical structure of the bearing object so as to facilitate operation.
If the condition (a) is judged to be no and the condition (b) is judged to be yes, the RFID tag information file is newly established, and the information file comprises file creation time and the judging result of the condition (b); s200 is performed.
When the condition (a) is judged to be yes and the condition (b) is judged to be yes, inquiring the information file corresponding to the unique identifier; when the encoding result exists in the RFID tag information file, S400 is executed, otherwise S200 is executed.
When the condition (b) is judged to be negative, outputting prompt information; the process is stopped or re-executed according to the operator' S choice S100.
In the step, the radio frequency identification sensitivity is higher than that of the image acquisition of the next link, so that the coding targets are effectively screened, blank labels to be coded of a newly built file are continuously identified; meanwhile, a label record is established so as to integrate information related to the label generated in a subsequent link; the non-new file label or the non-blank label does not carry out the content identification of the printing label according to the step S200, so that invalid operation is avoided; in the coding process, the coding failure may be caused by factors such as signal interference, articles being moved out of the coding area by mistake, etc., in which case, a label with a built file but no coding will appear, if the coding result in the file of the label exists, the identification and coding are not needed again, and the coding result can be directly extracted from the file for coding.
S200, identification
Image acquisition is carried out on objects in the operation area; identifying the collected image content to obtain the content of the printing label; and if the difference between the RFID tag reading time and the time when the identification of the printed tag content is completed is smaller than a preset threshold value, recording the printed tag content into a corresponding RFID tag information file.
Because means of sensing the RFID label and printing the label by the system are different, the time of sensing the RFID label and the printing the label is sequential, if the difference value between the reading time of the RFID label and the time of finishing the identification of the content of the printing label is smaller than a certain range, the reading time of the RFID label and the identification of the content of the printing label can be considered as sensing the RFID label and the printing label at the same time, and the content of the printing label and the RFID label can be associated; the operation area refers to an area capable of carrying out image acquisition on the object, is determined by the acquisition range of the image acquisition module, and is suitable for the physical structure of the bearing object in the identification link so as to be convenient for operation.
The content of the printed label of the article mainly comprises standardized graphic codes such as bar codes and two-dimensional codes, and non-standardized labels composed of numbers, letters, characters, chinese characters and the like are also arranged on part of special articles. Aiming at standardized graphic codes, optical code scanners such as a laser code scanner, a CCD (charge coupled device) bar code scanner, an image type red light code scanner and the like can be used for collecting and identifying; for non-standardized labels, the labels are mainly collected by a laser scanner and a high-definition camera, and the identification is mainly realized by OCR (optical character recognition) and image processing.
In the embodiment, a high-definition camera is adopted to collect images from the upper part of the article, so that a clear picture of a printed label on the article is obtained; and extracting the label image by image processing modes such as image geometric transformation, image enhancement, image denoising, image segmentation feature extraction and the like, so as to obtain label content.
In the embodiment, an artificial intelligence algorithm which is subjected to deep learning can be adopted to assist in identifying the image, a camera is matched to lock the printed label image in the article image in real time, so that the label content is obtained, the type of the label is judged, the identification time is further shortened, and the identification accuracy is improved.
The specific training and reading method of the artificial intelligence algorithm comprises the following steps of; preparing a certain number of printed label images at different angles, including standardized graphic codes and non-standardized labels; preparing a certain number of article images with printed labels attached and article images without the printed labels attached, and using the article images as a sample data set for network training and evaluation; the camera for shooting the sample is consistent with the specification of a camera for actual operation, and the shooting background environment is consistent with the operation area; constructing a network architecture, constructing a Convolutional Neural Network (CNN) and a deep learning target detection Yolov5 neural network model, and marking and training a prepared data set to obtain a target model.
S300, coding
And encoding the printed label content according to a corresponding coding rule to obtain a coding result, and recording the coding result to a corresponding RFID label information file.
And according to the identified type of the content of the printed label, applying a coding rule to code the content. For example: and acquiring the EAN13 code as the content of the printed label, and then according to the passing rule of the EAN13 code built in the system, obtaining the EPC electronic code in SGTIN-96 format.
S400, coding
And (3) waking up the RFID tag in the coding area by using the unique identifier, and writing the corresponding coding result into the RFID tag to finish coding.
S100, waking up the RFID tag in the coding area by using the unique identifier of the tag to be coded read in the step S100, and writing in a coding result if the waking up is successful; if the wake-up is unsuccessful, the RFID tag is not in the coding area, and prompt information is output. Since the coding process can be performed in a delayed manner, there may be a case where a plurality of labels for which coding is not completed exist in a coding region at the same time; in addition, the label is moved out of the coding area due to incomplete coding caused by misoperation; therefore, the RFID tag in the coding area is awakened by the unique identifier, and the coding accuracy can be ensured.
In the present embodiment, steps S100, S200, S300, S400 are performed in parallel. After each step is executed, other steps are selectively executed according to logic conditions, and the step continues to be executed for a new round, so that continuous coding is realized.
The method in the embodiment is mainly suitable for the fact that the specifications of the articles are basically consistent, the positions of the labels on the articles are basically consistent, operators can continuously send the articles into an operation area, and the materials can be automatically conveyed and fed by means of a conveying mechanism; in the scene, the time spent by each material in each link is small in difficulty difference; the artificial intelligent algorithm improves the image recognition speed and accuracy, and further improves the efficiency of the whole process; the three links of identification, coding and coding independently operate, after identification is completed, the article can move out of the operation area to enter the coding area, and coding can be performed in a delayed manner; and the whole process of the previous article is not required to be finished and the next article is not required to be fed, so that a single link is avoided to become an efficiency bottleneck of the whole process.
Example 2
A method for continuously coding RFID tags based on artificial intelligence is provided, and S100, S300, S400 in this embodiment are identical to embodiment 1.
In S200, a plurality of high-definition cameras for shooting the articles from different angles are adopted to collect images of the articles, and preferably 6 cameras are used for shooting the articles from top to bottom, left to right, front to back respectively; based on which a multi-angle photograph or hologram of the article can be obtained; and (3) carrying out image identification by adopting an artificial intelligence algorithm after deep learning, locking a printed label image in an article image in real time by matching with a camera group, further obtaining label content, and judging the type of the label content. In order to enable each camera to effectively shoot objects from different angles, the object bearing structure should not shield the object cameras, and especially in order to prevent the lower cameras from being shielded and still bearing objects, the object bearing structure is made of transparent materials.
The method in the embodiment is mainly suitable for the condition that the specifications of the articles are inconsistent, the positions of the labels on the articles are difficult to unify, and the articles are manually sent to the operation area; in this scenario, since the multiple cameras acquire images at multiple angles, there is no need to manually align the objects to the code reader one by one.
Example 3
On the basis of example 2, step S500 is added: and monitoring the attribute and state of the article, identifying the image by adopting an artificial intelligence algorithm subjected to deep learning, and judging the attribute information and the state information of the article.
In this embodiment, the working area is determined by the shooting ranges of 6 cameras together, and whether the article enters the coding area from the working area is judged, so that the judgment can be performed based on the camera group and the artificial intelligent auxiliary image recognition. Specific training and reading methods of the artificial intelligence algorithm can refer to the artificial intelligence algorithm for identifying the content of the printed label in the embodiment 1, and also comprises the steps of preparing a certain number of different articles and images at different positions for being used as a sample data set for network training and evaluation; and constructing a neural network model, and labeling and training the prepared data set to obtain the target model. The artificial intelligence in the embodiment participates in image recognition of the printed label and also participates in judgment of the position state of the article, and the two links share one set of image acquisition hardware and operation processing hardware, so that efficient utilization of resources can be realized.
In step S500, when the difference between the time of determining the status information of the article and the time of completing the identification of the content of the printed label is smaller than a preset threshold, recording the attribute information and the status information of the current article to a corresponding RFID label information file; the status information is the parameters of the article, the content acquisition is related to the printed label, and the two are close in time, namely the article is related to the label. Because the articles are continuously put into the operation area, and the specifications of the articles are different, the situation that the former label is wrongly judged to belong to the latter article can be caused, the association between the printing label and the articles is enhanced in the step, the misjudgment is avoided, the parameters of the articles are recorded into the file, the information is more abundant, and the traceability is stronger.
When the article state in the RFID tag information file is that the article state is moved out of the operation area and does not enter the coding area, and the RFID tag is a blank tag to be coded, outputting prompt information; the condition that the article is not coded and is erroneously operated to move out of the working area can be identified.
The physical structure of the article bearing mechanism (such as a conveyor belt, an article carrying platform and the like) actually limits the area and the path of the article stay and move, so that the communication between the operation area and the coding area is realized, and therefore, one or more of an optical sensor, a microwave sensor, an infrared sensor and a weight sensor are additionally arranged on the article bearing mechanism, and the combination of the optical sensor, the microwave sensor, the infrared sensor and the weight sensor can be used for judging whether the article enters the coding area from the operation area through the induction of the optical sensor, the microwave sensor, the infrared sensor and the weight sensor, so that the state information of the article can be judged more accurately and abundantly.
Example 4
The method further comprises step 610 of acquiring the position of the RFID tag in the coding region based on embodiment 3, specifically by establishing a spatial coordinate system of the coding region, and determining the spatial coordinates of the RFID tag by one or more of an RFID positioning technology and an image recognition technology.
The coding area is determined by the read-write range of the reader-writer module in the coding link and the physical structure of the bearing object in the coding link; in the embodiment, a space coordinate system of the coding region is preset in the system according to the physical structure of the article bearing mechanism, the coding region is in a cube as a whole, and x, y, z axes and coordinates of the coding region are calibrated; the reader-writer antennas are uniformly distributed on four sides of the coding area, and the target is positioned through the RFID signal strength change measured by the antennas at different positions; if the printing label and the RFID label are integrated, the manual intelligent auxiliary positioning identification can be combined through the camera;
s620, calculating coding adjustment parameters according to the space coordinates of the RFID tag and outputting the coding adjustment parameters to a reader-writer module for coding;
s630, according to the coding adjustment parameters, the reader-writer module for coding adjusts the settings, wherein the adjusted settings comprise radio frequency power and antenna parameters. In this embodiment, the power allocation policy of the reader-writer module is controlled according to the adjustment parameter, and parameters of the four groups of antennas are dynamically adjusted to adapt to the requirements of tag coding at different positions in the coding region, so as to improve coding success rate and avoid unsuccessful coding caused by environmental interference, mutual shielding of articles, reader-writer power and other problems.
Example 5
The method further comprises step S700, wherein the interaction module performs real-time visual display on the RFID tag information file, so that operators can know the operation progress in time.
This embodiment shows the tag file status in read order using the following table as an example.
In the above table, the reading order indicates the order in which the RFID tags were read in step S100; the tag code is the unique identification code of the RFID tag; whether the file exists or not, that is, whether the file exists or not, that is, whether the file exists or not, and whether the file exists or not, that is, whether or not, whether the file exists or not, and whether or not, whether; the labels M1-M5 are put in one by one in sequence, and the putting operation is carried out again after M1 and M3.
M1 is successfully executed in each link after being put into the device for the first time, and coding is successful;
m2 is a non-blank label, and the steps of identification, coding and coding are not executed;
m3 is successfully executed in the identification and coding links after the first time of putting in, but the coding is unsuccessful;
m4 is the same as M2;
after M5 is put in, each link is successfully executed, the coding is successful, and the coding time sequence is 2;
m1 is put in again due to misoperation of personnel, and is recognized by the system that each link is not executed; i.e. the coded tag does not perform further operations.
M3 is put into again, if the system recognizes that the coding result exists, the system does not repeatedly execute the steps of recognition and coding, but directly reads the coding result in the file to code, and the coding time sequence is 3. That is, M3 allows manual error correction in case that the first non-coding is successful, and rapidly re-codes only the label that failed coding.
Example 6
Step S800, video acquisition, processing and storage are carried out on the coding process on the basis of the embodiment 1; adding one or several time stamps in the timeline of the video file for locating to the key frames; the time stamp corresponds to one or several moments in each RFID tag information file. The video acquisition uses at least one monitoring camera to shoot the whole coding process, and the time marks of important events in the files are encoded in the video, so that the video can be accurately positioned for review, and the backtracking of the coding process is facilitated.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A method for continuously coding RFID labels based on artificial intelligence is characterized in that: the method comprises the following steps:
s100, tag profiling
Reading an RFID tag in the gear establishing area to obtain a unique identifier thereof; judging whether the unique identification information file exists in the system or not according to the condition (a); condition (b) whether the RFID tag is a blank tag to be coded;
if the condition (a) is judged to be no and the condition (b) is judged to be yes, the RFID tag information file is newly established, and the information file comprises file creation time and the judging result of the condition (b); s200 is executed;
when the condition (a) is judged to be yes and the condition (b) is judged to be yes, inquiring the information file corresponding to the unique identifier; when the RFID tag information file has the encoding result, executing S400, otherwise executing S200;
when the condition (b) is judged to be negative, outputting prompt information;
s200, identification
Image acquisition is carried out on objects in the operation area; identifying the collected image content by adopting an artificial intelligence algorithm subjected to deep learning to obtain printed label content; if the difference between the RFID tag reading time and the time when the identification of the printed tag content is completed is smaller than a preset threshold value, recording the printed tag content into a corresponding RFID tag information file;
s300, coding
Encoding the content of the printed label according to a corresponding coding rule to obtain a coding result, and recording the coding result to a corresponding RFID label information file;
s400, coding
And (3) waking up the RFID tag in the coding area by using the unique identifier, and writing the corresponding coding result into the RFID tag to finish coding.
2. The method for continuously coding RFID tags based on artificial intelligence according to claim 1, wherein: the means for image acquisition in step S200 are a plurality of cameras capturing images of the object from different angles.
3. The method for continuously coding RFID tags based on artificial intelligence according to claim 2, wherein: and the method also comprises the step S500 of monitoring the property and the state of the article, identifying the image by adopting an artificial intelligence algorithm through deep learning, and judging the property information and the state information of the article.
4. The method for continuously coding RFID tags based on artificial intelligence according to claim 3, wherein: in step S500, when the difference between the time of determining the status information of the article and the time of completing the identification of the content of the printed label is smaller than the preset threshold, the attribute information and the status information of the current article are recorded in the corresponding RFID tag information file.
5. The method for continuously coding RFID tags based on artificial intelligence according to claim 3, wherein: when the object state is that the object is moved out of the operation area and does not enter the coding area, and the corresponding RFID label is a blank label to be coded, a prompt message is output.
6. The method for continuously coding RFID tags based on artificial intelligence according to claim 4, wherein: the judging of the article state information also comprises one or a combination of a plurality of modes of optical sensing, microwave sensing, infrared sensing and weight sensing.
7. The method for continuously coding RFID tags based on artificial intelligence according to claim 2, wherein: step S610, the position of the RFID tag in the coding area is obtained; the specific mode is to establish a space coordinate system of the coding region, and determine the space coordinate of the RFID tag through one or more of the combination of the RFID positioning technology and the image recognition technology.
8. The method for continuously coding RFID tags based on artificial intelligence according to claim 7, wherein: s620, calculating coding adjustment parameters according to the space coordinates of the RFID tag and outputting the coding adjustment parameters to a reader-writer module for coding; s630, according to the coding adjustment parameters, the reader-writer module for coding adjusts the settings, wherein the adjusted settings comprise radio frequency power and antenna parameters.
9. The method for continuously coding RFID tags based on artificial intelligence according to claim 1, wherein: the method also comprises the step S700 of visually displaying the RFID tag information file in real time by the interaction module.
10. The method for continuously coding RFID tags based on artificial intelligence according to claim 1, wherein: the method also comprises the steps of S800, video acquisition, processing and storage of the coding process; adding one or several time stamps in the timeline of the video file for locating to the key frames; the time stamp corresponds to one or several moments in the RFID tag information file.
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