34results about How to "Improve inventory efficiency" patented technology

The invention discloses a fast archive warehouse-in and warehouse-out system and method based on an ultrahigh-frequency RFID recognition filtering algorithm. The system comprises an intelligent cabinet, a management terminal, a card reading device, an ultrahigh-frequency RFID antenna and a sensing device. According to the invention, based on the ultrahigh frequency RFID identification filtering algorithm, the signal strength RSSI value of the ultrahigh frequency RFID tag is utilized to filter the data, the accurate ultrahigh frequency RFID tag value can be determined, and the warehousing operation can be completed only by inserting the archive to be warehoused into the positioning jack of any sensing device during the warehousing operation. And the warehouse-out operation can be completed only by pulling out the archives to be delivered from the positioning insertion holes of the induction devices, so that external RFID identification equipment is not needed during warehouse-in and warehouse-out, the consumed time is short, and the efficiency is high.

The invention relates to a dynamic inventory checking method and device, electronic equipment and a storage medium. The dynamic inventory checking method comprises the following steps: obtaining an in-out frequency Fi of a target cargo i and calculating a frequency weight fi; the total value Vi of the target goods i is obtained, and the total value weight vi is calculated; obtaining the remaining shelf life Si of the target goods i and calculating the shelf life weight si; calculating a checking period Ti of the target goods i according to the frequency weight fi, the total value weight vi and the shelf life weight si; and the target goods i periodically perform the inventory task according to the inventory period Ti of the target goods i. According to different characteristics of each kind of goods, the inventory cycle and the priority of the goods are calculated, and different inventory strategies are generated for each kind of goods, so that each kind of goods can have a corresponding inventory cycle according to own characteristics. Compared with a traditional fixed inventory cycle mode, the method can enable the inventory of the goods to be more accurate, improves the inventory efficiency, and does not cause the waste of resources.

The invention provides an inventory method based on a distribution network line equipment body identification model and a storage medium, an unmanned aerial vehicle technology, an intelligent image identification technology and an efficient inventory mode of an automatic processing flow are fused, whole-process online circulation of power line equipment inventory is realized, the inventory efficiency and accuracy are improved, and the manual operation difficulty and cost are reduced; the scheme comprises the following steps: step 1, formulating a route task and formulating an inventory task work order; step 2, performing on-site checking operation by the unmanned aerial vehicle; 3, when the intelligent model is used for identifying the equipment and returning the photo, automatically matching and associating the photo shot by the unmanned aerial vehicle and the equipment identified in the photo with the appraisal list; 4, returning an unmanned aerial vehicle checking result to the unmanned aerial vehicle inspection platform; step 5, manually confirming the inventory result, and auditing the inventory result; step 6, pushing checking information to the homologous maintenance tool, hooking the equipment photo by the homologous maintenance tool, closing the work order, and returning information; and 7, the unmanned aerial vehicle inspection platform updates the information state.

The invention provides a warehouse goods checking method, electronic equipment and a storage medium. The method comprises the steps of selecting a to-be-used identification mode based on cargo attributes of to-be-checked cargos in a target warehouse; according to the to-be-used identification mode, obtaining target checking data of the to-be-checked goods; performing data anomaly detection on the target inventory data by using a target anomaly recognition model to obtain a current detection result, the current detection result being used for indicating whether there is cargo loss and / or repeated inventory in the to-be-inventory cargos; and performing visual display on the current detection result, and / or generating an inventory exception report according to the current detection result. According to the invention, the technical problems of low checking efficiency and poor data accuracy of a warehouse goods checking method provided in the prior art are solved.

The invention relates to the technical field of book checking devices, in particular to an RFID-based automatic cruise checking instrument for a library. Comprising a translation module fixed to the top of a book cabinet and a turning module fixed to the translation module, and a detection and inventory module located beside the book cabinet is installed at the bottom of the turning module; according to the utility model, translation and 360-degree rotation are carried out according to the profile track, books on the bookcase are comprehensively checked, errors caused by manual checking are effectively avoided, and meanwhile, the checking efficiency is improved; according to the invention, a single-row gear and rack meshing conveying design is adopted for translation, a belt transmission design is adopted for rotation, double insurance of servo motor turn number counting and sensor counting is set for translation and rotation, the accuracy of inventory is ensured, and labels of books in a library are identified and counted based on the RFID technology, so that the inventory efficiency is improved. However, the cost of related RFID checking equipment is reduced to about thousand yuan, so that the system has a wide market prospect.

The present invention provides a book inventory robot based on machine vision, which belongs to the field of machine vision technology and includes: a region division module, which is used to control a visual camera to move to a designated position of a corresponding divided region to obtain a region image; a set construction module, which is used to lock the surrounding areas of each divided region, and construct a surrounding overlapping set in combination with the determined radiation range of the divided region; a reconstruction module, which is used to perform region reconstruction on the region image of the corresponding divided region according to the surrounding overlapping set to obtain a first image; a boundary recognition module, which is used to splice all first images, and perform book boundary recognition on the spliced ​​image, and mark closed-loop boundaries and non-closed-loop boundaries; a boundary extension processing module, which is used to perform boundary extension processing on the corresponding non-closed-loop boundaries according to the closed-loop boundaries; and a text recognition module, which is used to recognize and summarize the texts within all closed-loop boundaries to obtain book summary information. The process saves time and effort and greatly improves the efficiency of inventory.

The present invention discloses a fast file entry and exit system and method based on an ultra-high frequency RFID identification and filtering algorithm, comprising an intelligent cabinet, a management terminal, a card reading device, an ultra-high frequency RFID antenna, and an induction device. The present invention is based on an ultra-high frequency RFID identification and filtering algorithm, and uses the signal strength RSSI value of the ultra-high frequency RFID tag to filter data, and can determine the accurate ultra-high frequency RFID tag value. During the entry operation, the entry operation can be completed by simply inserting the file to be entered into the positioning socket of any induction device, and the exit operation can be completed by simply pulling out the file to be exited from the positioning socket of the induction device. In this way, there is no need to use an external RFID identification device for entry and exit, which is time-saving and efficient.

The invention provides an automatic material checking method. The automatic material checking method comprises the following steps: binding unique RFID tags on all to-be-checked materials; at least one UHF induction antenna is installed at a preset position in a warehouse or a storage area, and the antenna covers the whole storage area; creating a checking order through the management system and sending a remote checking instruction to the RFID reader-writer; after the RFID reader-writer receives a remote checking instruction, the UHF induction antenna is started to read tag data; the RFID reader-writer is used for transmitting the collected label data to the central system; the central system performs duplicate removal processing on the collected data to ensure that each material is counted only once; and according to the de-duplicated data, automatically generating a full-inventory and insufficient-inventory record, comparing the full-inventory and insufficient-inventory record with the original inventory data, and outputting a final inventory report. Through automatic induction and data collection, manual operation is reduced, the checking efficiency is improved, the labor cost is reduced, the checking time is shortened, and the working efficiency is improved.

Embodiments of the present specification provide an object inventory method, an object inventory device, a computer readable storage medium, an electronic device and a computer program product. The method comprises: performing target detection on an image about a target region to obtain a plurality of detection boxes about objects in the target region, and then needing to identify the category of the object corresponding to each detection box. In the embodiments of the present specification, the actual category corresponding to each detection box is determined based on a seed object of a known category. Further, according to the actual category corresponding to each detection box, the inventory data of the objects in the target region is determined, including: the number of categories of the objects contained in the target region, and / or the number of objects belonging to each category in the target region.

The invention discloses a cigarette quantity statistical method based on a YOLOv5 algorithm. The cigarette quantity statistical method is suitable for inventory management of a cigarette warehouse. According to the system, front views and top views of cigarettes on a tray are obtained through image acquisition equipment, the images are processed through a YOLOv5 deep learning model, and the number of the cigarettes on the tray is automatically recognized and counted. The system comprises an image acquisition module, an image preprocessing module, a cigarette recognition module and a quantity statistics module. And the cigarette identification result is associated with the storage location information, so that automatic statistics and storage of the number of cigarettes are realized. Compared with a traditional manual checking method, the method has the advantages that the checking efficiency and accuracy are remarkably improved, the complexity of manual operation is reduced, and the safety risk in warehouse management is reduced. The system is suitable for management of large-scale cigarette warehouses and has a wide application prospect.

The present invention relates to the technical field of intelligent character recognition, and specifically discloses a method and system for automatic recognition of asset nameplate characters, the method comprising the steps of: S1, acquiring a nameplate image of an asset device; S2, preprocessing the acquired nameplate image and inputting it into a nameplate character automatic recognition network; S3, the nameplate character automatic recognition network outputs the recognized characters. The present invention provides a method and system for automatic recognition of asset nameplate characters, which overcomes the inaccuracy of the reading process caused by factors such as the position of a handheld device and ambient lighting, and improves the recognition accuracy and robustness of indoor and outdoor asset nameplate characters. The method and system can be transplanted to a mobile terminal, integrated into applications related to physical inventory of assets, and improve the efficiency of indoor and outdoor asset inventory and the technical capabilities of automatic auditing.

The invention discloses a fixed asset checking and management system, method and platform based on RFID. According to the technical scheme provided by the invention, the system comprises an asset information acquisition module, a database generation module, an asset information updating module and a state prompting module, each module is used for acquiring basic information of assets and writing the basic information into a bound RFID tag to generate first tag information; gathering the first label information corresponding to the assets to generate an asset information database; acquiring second label information in the corresponding label according to the asset use condition and a preset time interval, and updating the database; and determining assets in an abnormal state according to the current asset information in the database, and generating a corresponding state prompt. According to the invention, the RFID tag can be bound with the assets, so that the state of the national assets can be tracked, the current state of the assets can be known, the inventory and management of the assets can be completed efficiently and intelligently, and the use efficiency of the assets can be improved.

The invention provides a tag inventory method and device and electronic equipment, and relates to the technical field of wireless, and the method comprises the steps that a reader-writer sends a first message; under the condition that the N response messages received by the reader-writer collide, the reader-writer sends a second message to the N tags; under the condition that the label number of the returned response message is one, the reader-writer backtracks an interference response message which is closest to the first response message of the target label and contains a second response message of the target label, and performs interference elimination on the interference response message according to the first response message to obtain a residual response message; and the reader-writer performs inventory on the first tag and the tag corresponding to the residual response message. According to the method and the device, the response result of the multiple tags is backtracked, and interference elimination is performed on the response result of the multiple tags according to the response result of the single tag, so that the residual response message is decoded, the broadcasting frequency of a reader-writer is reduced, and the inventory efficiency of the tags can be improved.

The invention relates to an intelligent book checking system and method based on a mobile terminal and a storage medium thereof, books are scanned and checked through the mobile terminal, multiple book labels can be continuously scanned at a time, and the checking efficiency is improved; through batch identification of books, based on book information and historical inventory records, accurate bookshelf recommendation and display are provided for re-shelving of the books, the phenomena of disordered placement and wrong shelf of the books are effectively reduced, and the book management process is optimized. The mobile terminal can be connected with an external card reading module through Type-C or Bluetooth to realize read-write operation of the book RFID tag card; book information is visually displayed by moving key retrieval, and a user can conveniently and quickly search and obtain books.

The invention provides an automatic checking method and system for an IDC (Internet Data Center) based on an image processing algorithm. The method comprises the following steps: step 1, deploying a plurality of inspection robots in an IDC data center, and enabling the inspection robots to autonomously move in a channel of the data center; the inspection robot is deployed to autonomously collect images, the tedious process of traditional manual checking is avoided, the checking efficiency is greatly improved, a large amount of time and labor cost are saved, meanwhile, a path planning algorithm, an automatic focusing algorithm and the like are utilized, it is ensured that the robot efficiently moves and collects clear images, and the overall working efficiency is further improved; feature extraction and asset information comparison are carried out based on an image processing algorithm, errors caused by human factors are reduced, the accuracy of asset identification is improved, meanwhile, the illegal moving-in and moving-out condition of equipment is detected by adopting an image difference algorithm, abnormity can be found timely and accurately, disorder of asset management is avoided, and intelligent management is realized.

The invention belongs to the technical field of steel plate finished product warehouse management, and particularly relates to a steel finished product warehouse informatization management method, which adopts and organically combines a code spraying automatic identification technology, a terminal acquisition system (including a handheld type and a fixed type) and an MES interaction system, greatly improves the information transmission and information management accuracy in warehouse-in and warehouse-out links, and improves the information management efficiency. The production and delivery efficiency is improved, and the labor intensity is reduced; the informatization management system for the finished steel product warehouse mainly has a finished product warehouse-in and warehouse-out function, a middle warehouse and stack transfer management function and a stocktaking function, the management function covers the whole process of logistics information of the finished product warehouse, a data interface can be reserved, and the data management function can be expanded; the information acquisition and artificial intelligence analysis technology is obtained through continuous learning, improvement and timely correction of the system on the basis of a large amount of field practice data, and is a learnable, editable and expandable system; based on the invention, the barrier-free transmission of real objects and information can be realized, the production and delivery efficiency is greatly improved, and the labor intensity is reduced.

The utility model relates to the technical field of goods checking devices, in particular to an intelligent visual checking robot, which is characterized in that a control console is arranged on a chassis, a touch display screen is arranged on the control console, two symmetrically arranged mirror image columns are arranged on the rear side of the control console, a sliding chute is formed in the top of each mirror image column, and an electric push rod is arranged at the bottom of each sliding chute; sliding rods are connected to the tops of the electric push rods, a plurality of camera modules which are sequentially distributed at equal intervals from top to bottom are arranged at the ends, away from each other, of the two sliding rods and the two mirror image columns, opening seams communicating with the sliding grooves are vertically formed in the sides, away from each other, of the two mirror image columns, and the opening width of the opening seams is larger than the width of the camera modules; a controller is arranged in the console, the camera module, the electric push rod, the laser radar device and the touch display screen are all electrically connected with the controller, and the problems that the robot consumes power quickly and the checking efficiency needs to be improved due to the fact that the robot can complete checking of goods on two parallel goods shelves only when walking back and forth during checking are solved.

The invention discloses a three-dimensional warehouse stocktaking and dynamic parking space distribution method, which comprises the following steps of: judging whether workpieces exist in parking spaces of an RGV type three-dimensional warehouse or not, and if the workpieces exist, carrying out information acquisition on the workpieces and acquiring identification data of the workpieces; uploading the identification data to a server background; wherein a vehicle body information base is stored in the server background, and the vehicle body information base comprises complete information, corresponding skid body numbers and warehousing time of the workpieces, which are in one-to-one correspondence with the identification data; comparing and matching the identification data with a vehicle body information base to obtain complete information of the workpiece; according to the invention, the cost is reduced because the requirements on read heads and wiring are reduced. And the flexibility and expansibility of the system also provide convenience for future technology upgrade and storage location increase. And the reliability of inventory management is further improved by an automatic anomaly detection and quick response mechanism. On the whole, the invention provides an efficient, safe, economical and easy-to-maintain inventory management method.

The invention discloses an intelligent bulk cargo checking method based on 3D point cloud segmentation, which realizes intelligence and high efficiency of bulk cargo checking through scientific partitioning, a dual checking mechanism and liquidity index management. Firstly, checking areas are divided according to the size of bulk cargoes, and a full-load threshold value is set to trigger checking. Secondly, the accuracy of bulk cargo information is ensured by comparing the RFID tag with the original purchasing information and combining with 3D point cloud data acquisition. In addition, the bulk cargo and inventory area fluidity index is constructed, the cargo layout is guided, the inventory strategy is flexibly set, and the inventory efficiency and the inventory accuracy are improved. Not only is the inventory flow simplified, but also the validity of the inventory strategy is maintained through a dynamic updating mechanism, and powerful support is provided for warehouse operation.

The invention discloses a gate ticket box counting and transferring device which comprises a transferring cylinder, the bottom of the transferring cylinder is fixedly provided with a supporting assembly, one side of the transferring cylinder is provided with a height adjusting assembly, the top of the transferring cylinder is communicated with a ticket inlet hopper, one side of the ticket inlet hopper is provided with a blocking assembly, and the blocking assembly is used in cooperation with the height adjusting assembly. And a partition storage assembly is further arranged in the transfer cylinder. The invention relates to the technical field of gate ticket box counting. According to the gate ticket box counting and transferring device, through the arrangement of the transferring barrel and the partition storage assembly, the interior of the transferring barrel is divided into a plurality of storage spaces for storing ticket cards in different ticket boxes, subsequent ticket card counting and counting are facilitated, meanwhile, the ticket cards in the ticket boxes can be directly collected and stored at a gate, and the ticket card counting and transferring efficiency is improved. And the ticket box is installed in the back-gate machine again, so that a large number of ticket boxes do not need to be prepared, the ticket box counting cost is reduced, and the ticket box counting efficiency is effectively improved through unified counting of ticket cards.

The invention discloses a natural resource asset checking and evaluating system based on an AI technology, relates to the technical field of resource asset checking, and solves the technical problem of low efficiency caused by difficulty in reasonable arrangement according to the actual condition of each checking area in the existing means. Comprising a data acquisition module for acquiring influence events in a plurality of to-be-checked areas through a network platform and acquiring material object checking data of each to-be-checked area through an acquisition client; the region rating module is used for generating a checking difficulty coefficient and a checking priority coefficient corresponding to the to-be-checked region according to the influence event; the checking evaluation module is used for generating a checking scheme according to the checking difficulty coefficient and the checking priority coefficient of the to-be-checked area, and performing value evaluation on the corresponding to-be-checked area according to the material object checking data to obtain a corresponding natural resource asset value; and constructing a natural resource asset source checking database according to the real object checking data and the natural resource asset value of the to-be-checked area. And the checking efficiency of the natural resource assets is improved.

The invention discloses an unmanned aerial vehicle automatic coal inventory system and method suitable for a gas film closed coal yard, and the system comprises an unmanned aerial vehicle, a feature device, a server, a remote control device, a WIFI system, and a bucket wheel machine full-automatic control system, and the unmanned aerial vehicle comprises an unmanned aerial vehicle body, a control device, an airborne PC, an IMU, and a laser radar. The server and the bucket wheel machine full-automatic control system are connected to the local area network through network cables, the WIFI system is connected to the local area network, the airborne PC is provided with a WIFI module and is connected to the WIFI system through a WIFI network, and the remote control device is in low-rate data communication with the control device in a wireless mode. The method has the following advantages and effects that in the gas film closed coal yard, the unmanned aerial vehicle is automatically driven to fly, the laser scanning data of the coal yard is obtained, the three-dimensional model of the coal yard is established, the amount of each coal pile is calculated, the coal stocktaking efficiency is improved, the investment and maintenance cost of a coal stocktaking system is reduced, and the time for coal stocktaking personnel to make contact with the severe environment of the closed coal yard is shortened.

The invention relates to a carbon inventory management and control system, and relates to the field of carbon emission management, a task management module determines required filling information based on a standard inventory item corresponding to an inventory unit, establishes a plurality of carbon inventory tasks, and issues a sub-task to a corresponding inventory personnel for each carbon inventory task, so that the inventory personnel can carry out carbon inventory management and control according to the sub-tasks. Filling and reporting the demand filling and reporting information; and storing target information input by the interrogation personnel based on the demand filling information corresponding to the subtasks through a data storage module, and generating a carbon emission report through a carbon interrogation management module according to the target information. Thus, the demand filling information corresponding to the interrogation unit is determined based on the standard interrogation item corresponding to the interrogation unit, the standard of the data required to be filled by the interrogation unit is unified, and the consistency and accuracy of the data are ensured, so that the quality of the input carbon emission data is improved, and the efficiency of carbon interrogation is improved.

The utility model discloses a gauze counting device, relates to the technical field of medical auxiliary instruments, and aims to solve the technical problems that in the prior art, an independent device for counting gauze cannot be matched with an existing garbage can, so that the use cost is increased, the counting effect is influenced by directly using the garbage can for counting, and the workload of medical staff is increased. The device comprises a sleeve, one end of the sleeve is provided with a bearing plate, the bearing plate is provided with a through hole communicated with the sleeve, the size of the sleeve is smaller than that of the garbage can, the size of the bearing plate is larger than that of the garbage can, and the edge of the bearing plate is provided with a protection plate. Through cooperation of the sleeve, the bearing plate, the through hole and the protection plate, the garbage can can be directly matched with an existing garbage can, counted materials are not prone to sliding off from the garbage can to cause pollution, and the garbage can has the advantages that cost is saved, efficiency is improved, and the workload of medical staff is reduced.

This application discloses a stacking device. The stacking device includes a picking platform for picking up target materials; an information acquisition component, disposed on the picking platform, for collecting actual material information of the target materials on the picking platform; and a sending module for sending the actual material information to a server, enabling the server to perform inventory checks based on the actual material information. When using this stacking device, after the picking platform picks up the target materials, the information acquisition component collects the actual material information of the target materials, and the sending module sends the collected actual material information to the server. The server then identifies the materials based on the actual material information, determines the type, quantity, and status of the target materials, compares it with the inventory data in the warehouse management system, and updates the inventory information of the material in the warehouse management system, completing the inventory check. This not only improves the accuracy of material inventory checks but also increases inventory efficiency.

The invention discloses an AGV checking robot, and relates to the technical field of AGV checking robots, the AGV checking robot comprises a lower box body, a camera and a lamp, the top of the lower box body is provided with an upper box body, the lower box body and the upper box body are internally provided with built-in aluminum profiles, the outer surfaces of the built-in aluminum profiles are fixedly provided with aluminum profile fixing blocks through M inner hexagon screws, and the outer surfaces of the built-in aluminum profiles are fixedly provided with the camera and the lamp. And a movable hinge is arranged outside the built-in aluminum profile. According to the AGV checking robot, through the design of multiple groups of cameras and lamps with different heights, barcodes with different heights on a bookshelf can be synchronously scanned, the barcodes of the bookshelf can be conveniently and synchronously collected, checking can be conveniently and rapidly carried out, the checking efficiency of the AGV checking robot is improved, and the working efficiency of the AGV checking robot is improved. Through the design of the movable hinge and the camera fixing plate, the angle of the camera and the angle of the lamp can be adjusted, pre-adaptive adjustment can be conveniently carried out according to the bar code height on the bookshelf, and the bar code height scanning limitation is reduced.

The invention relates to a machine room remote checking method and device based on RFID, computer equipment, a computer readable storage medium and a computer program product, and can be applied to the technical field of computers. The method comprises the following steps: receiving an inventory instruction for resources in a machine room; generating an information acquisition instruction of the resource according to the checking instruction; sending the information collection instruction to a preset RFID collector in a machine room; the RFID collector is used for responding to the information collection instruction, sending a radio frequency signal to an RFID tag arranged on a resource, and obtaining tag information returned by the RFID tag; the label information comprises attribute information of the resources; label information returned by the RFID collector is received; and performing inventory processing on the label information to obtain an inventory result of the resources. By adopting the method, the resource checking efficiency can be improved.

The present invention discloses a method and device for counting shelves, and relates to the field of warehousing technology. A specific implementation of the method includes: issuing handling instructions to multiple idle automatic guided transport vehicles; calculating the inventory duration of the shelves respectively, and issuing instructions to the automatic guided transport vehicles that carry each shelf to leave the workstation after unloading the shelf, or issuing instructions to continue to stay at the workstation according to the inventory duration of each shelf; receiving the identification of the shelf reported by a data collector, determining the item detail information associated with the shelf according to the identification of the shelf, and issuing the item detail information stored in the database to the data collector. This implementation can solve the technical problems of low inventory efficiency and occupied resources.

The invention provides a machine vision-based archive checking method and system. The method comprises the following steps of: acquiring images of each stored archive of an archive outfit; splicing the archive images of the target layer; using an image detection algorithm to detect the archive storage unit area in the spliced image to obtain the unit storage area of each archive; detecting and segmenting the file box ridge target of each unit storage area by using an image segmentation algorithm, and counting the number of segmented areas; extracting a single segmented area of the file box, performing image correction according to the inclination angle of the segmented area, and correcting the file box into a vertical angle; file number area image extraction is carried out on the corrected file box image, file numbers are extracted by using an OCR identification technology, and a file number sequence of files stored in the layer is determined; comparing the counted number with a pre-stored ledger number of the layer of archives, and determining whether the number of the archives is correct or not; and comparing the determined file number sequence with pre-stored ledger information of the layer of file to determine whether the layer of file is missing or not and whether the storage position is correct or not. According to the invention, the in-warehouse state of the archives in the warehouse can be judged, and whether the in-warehouse position of the archives in the warehouse is correct can also be judged.

This invention relates to a method for estimating the number of tags using the collision waveform of the initial frame (SOF), belonging to the field of radio frequency identification (RFID). The invention constructs a random forest offline model for tag number estimation: the initial Q-value of the DFSA algorithm is set to 0, and multiple sets of tags with known quantities are inventoried. At this time, all tags respond simultaneously, and the collision waveform of the initial frame (SOF) has a one-to-one mapping relationship with the tag quantity. The SOF collision waveform and the known tag quantity are used as the feature set and label space of the training random forest sample set, respectively, to train the random forest offline model for tag number estimation. The number of tags to be inventoried is then estimated: the SOF collision waveform of a dense number of unknown tags is used as the input to the random forest offline model, and its output is the estimated tag quantity. This invention can effectively improve the inventory efficiency of high-frequency RFID systems.