Method and system for digitally identifying and managing materials based on AR (Augmented Reality) visual technology
By classifying and managing materials, combining AR glasses and RFID technology, the problem of difficult identification of smart AR glasses in complex environments is solved, and efficient and accurate management of material picking and inventory is achieved.
Patent Information
- Application Number
- CN202510641520.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-19
- Publication Date
- 2025-08-19
AI Technical Summary
Existing smart AR glasses cannot effectively and accurately identify materials in situations such as complex appearance, messy stacking, difficult to divide the edges, and dense stacking, resulting in inefficient warehouse management.
Materials are classified into two categories: identifiable and unidentified, and materials are identified and managed through cameras and weighing sensors using AR glasses and RFID technology. AR glasses collect images of identifying materials, RFID technology is used to not recognize materials, and the system automatically calculates and updates the quantity and location of materials.
Improve the efficiency and accuracy of material picking and inventory, ensure that all materials are monitored and managed in one system, and reduce manual errors.
Smart Images

Figure CN120509829A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a management and control system for stored materials and, in particular, to a method and system for digitally identifying and managing materials based on AR vision technology. Background Art
[0002] Intelligent warehousing management of materials has always been the development direction of large-scale warehousing management centers. The automation and intelligence of warehousing operations will provide strong support for the country's industrial strategy.
[0003] Existing technology equips warehouse workers with smart AR glasses, combined with advanced computer vision and IoT technologies, to enable fast and accurate inventory and picking of warehouse supplies. These glasses can virtually display material information, guide work routes, and automatically record results, improving warehouse efficiency and accuracy.
[0004] However, currently, when using smart AR glasses, it is impossible to effectively and accurately identify materials with complex appearance, messy stacking, difficult to distinguish edges, or dense stacking. Therefore, other modules and methods are needed to carry out comprehensive management and control. Summary of the Invention
[0005] The present invention designs a method and system for digitally identifying and managing materials based on AR vision technology. The technical problem it solves is that existing smart AR glasses are unable to effectively and accurately identify materials when their appearance is complex, materials are cluttered, materials have difficult edges to distinguish, or materials are densely stacked. Therefore, it is impossible to efficiently and accurately manage materials.
[0006] In order to solve the above-mentioned technical problems, the present invention adopts the following solutions: A method for digitally identifying and managing materials based on AR vision technology includes the following steps: Step 1: Classify the materials in the warehouse into identifiable materials and unidentifiable materials. The identifiable materials and unidentifiable materials are measured in real time by different weighing sensors, and the measurement data is stored in RFID electronic tags. The data storage control center can obtain the weight data of the identifiable materials and unidentifiable materials in the RFID electronic tags. Step 2: The data storage control center sends a picking task to the control unit of the AR glasses and generates a material picking list; Step 3: AR glasses directly capture images of materials through cameras to form a path for identifiable materials, or AR glasses and RFID electronic tags work together to form a path for unidentifiable materials. AR glasses display two paths to guide staff to the designated material shelves; Step 4: After the staff has selected the materials, the weighing sensor, RFID electronic tag, AR glasses-compatible RFID read / write unit, and data storage control center automatically calculate and update the quantity and / or weight of the remaining materials.
[0007] Preferably, the images of identifiable materials are directly stored in the storage unit of the AR glasses; the images of unidentifiable materials and the location information of the RFID electronic tags to which they belong are stored in the data storage control center, and the control unit of the AR glasses can retrieve the images of unidentifiable materials from the data storage control center through the wireless network and display them to the staff, as well as retrieve the location information of the RFID electronic tags to which the unidentifiable materials belong and display the path in the AR glasses.
[0008] Preferably, identifiable materials and unidentifiable materials are classified based on whether the appearance of the materials is complex, whether the materials are stacked in a messy manner, whether the edges of the materials are difficult to distinguish, or whether the materials are stacked densely. Any of the above factors causes the AR glasses to be unable to directly identify the type and quantity of materials through the camera, and the materials are all unidentifiable materials.
[0009] Preferably, identifiable materials and unidentifiable materials are arranged on different supporting platforms of the shelves, and each supporting platform is provided with a weighing sensor capable of measuring the weight of the identifiable materials or unidentifiable materials on the supporting platform; the weighing sensor sends the measured value to the storage unit of the RFID electronic tag on the shelf for storage; the information stored in the RFID electronic tag can be read by an RFID reader and transmitted to a data storage control center or can be read by an RFID reading and writing unit compatible with AR glasses and transmitted to a data storage control center; the data storage control center stores the image, position, single piece weight m and quantity n data of the identifiable materials or unidentifiable materials on each supporting platform, and the quantity n will change with the entry or exit of the warehouse.
[0010] Preferably, in step 3, the AR glasses display the picking path formed according to the material picking list of the identifiable materials, and guide the staff to directly reach the corresponding identifiable material shelves. The AR glasses display the corresponding identifiable material images or provide voice guidance for the staff to locate quickly and accurately.
[0011] Preferably, in step 3, the AR glasses retrieve the location of the RFID electronic tags of the unrecognizable materials from the database server of the data storage control center according to the material picking list of the unrecognizable materials. The AR glasses guide the staff to the location of the RFID electronic tags of the unrecognizable materials. The AR glasses display the corresponding image of the unrecognizable materials or provide voice guidance for the staff to locate them quickly and accurately.
[0012] Preferably, in step 4, when the staff sorts out one or more identifiable materials from the support platform, the AR glasses use the camera to capture images of the identifiable materials and push the material image information to the algorithm server of the data storage control center, perform algorithm recognition on the name and quantity of the picked materials, and send the data to the database server of the data storage control center for data comparison and update; At the same time, the weighing sensor senses the reduction of identifiable materials on the corresponding support platform and sends the corresponding weight data to the RFID electronic tag. The RFID reading and writing unit compatible with the AR glasses reads the RFID electronic tag and transmits it to the database server of the data storage control center. The data storage control center compares the remaining number of identifiable materials determined by the AR glasses through images with the remaining number of identifiable materials determined by the RFID reading and writing unit compatible with the AR glasses to determine whether the number of identifiable materials sorted is accurate.
[0013] Preferably, in step 4, when the staff sorts out one or more unrecognizable materials from the support platform, the weighing sensor senses that the unrecognizable materials on the corresponding support platform are reduced and sends the corresponding data to the RFID electronic tag. The RFID reading and writing unit compatible with the AR glasses reads the RFID electronic tag and transmits it to the data storage control center. The data storage control center will determine the number of remaining unrecognizable materials and update the corresponding data.
[0014] A method for digitally identifying and managing materials based on AR vision technology includes the following steps: Step 1: Classify the materials in the warehouse into identifiable materials and unidentifiable materials. The identifiable materials and unidentifiable materials are measured in real time by different weighing sensors, and the measurement data is stored in RFID electronic tags. The data storage control center can obtain the weight data of the identifiable materials and unidentifiable materials in the RFID electronic tags. Step 2: The data storage control center sends an inventory task to the control unit of the AR glasses and generates a material inventory list; Step 3: AR glasses directly capture images of materials through cameras to form a path for identifiable materials, or AR glasses and RFID electronic tags work together to form a path for unidentifiable materials. AR glasses display two paths to guide staff to the designated material shelves; Step 4: The camera on the AR glasses is aimed at the identifiable materials on the shelf, automatically taking photos of the materials in the storage location and sending them to the algorithm server in the data storage control center for algorithm identification. The compatible RFID reader / writer on the AR glasses reads the name and weight data of the unidentifiable materials in the RFID electronic tag and sends it to the database server in the data storage control center for quantity identification and comparison. Step 5: The algorithm server in the storage control center identifies the material information and quantity and transmits it back to the AR glasses for comparison. The database server in the storage control center transmits the quantity identification results of unrecognizable materials back to the AR glasses for comparison. If the two results are consistent, the inventory is completed.
[0015] Preferably, in step 4, when the staff takes inventory of the identifiable materials, the AR glasses capture images of the identifiable materials through the camera and push the material image information to the algorithm server of the data storage control center, perform algorithm identification on the name and quantity of the picked materials, and send it to the database server of the data storage control center for data comparison and update; at the same time, the RFID reading and writing unit compatible with the AR glasses reads the RFID electronic tag and transmits it to the database server of the data storage control center, and the data storage control center compares the number of identifiable materials determined by the image from the AR glasses with the number of identifiable materials determined by the information of the identifiable materials from the RFID reading and writing unit compatible with the AR glasses, so as to judge and verify whether the number of identifiable materials taken inventory is accurate.
[0016] A system for digitally identifying and managing materials based on AR vision technology is used to implement the above method.
[0017] The method and system for digitally identifying and managing materials based on AR vision technology have the following beneficial effects: (1) This invention uses AR visual picking technology as its core, and uses augmented reality technology to combine virtual information with the actual warehouse environment to provide virtual guidance and display for workers. Through computer vision and deep learning technologies, it can achieve rapid identification and positioning of warehouse goods. Using cameras or other sensors to collect image data, algorithms are used to perform image analysis and object recognition to accurately determine the location and attributes of goods, providing workers with real-time information on the location, quantity, picking path, etc. of goods, thereby improving operational efficiency and accuracy.
[0018] (2) The present invention uses AR glasses to pick and inventory identifiable materials, and uses RFID technology to pick and inventory materials that are not identifiable by AR glasses, thereby increasing the number of objects that AR glasses can be used for, and at the same time, the picking and inventory of all materials can be monitored and managed in one system.
[0019] (3) The present invention uses AR glasses to pick and inventory identifiable materials, and can also use RFID technology to pick and inventory identifiable materials. The two technical means are monitored and managed and can verify each other to ensure the accuracy of the picking and inventory data. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] Figure 1: Schematic diagram of sensors and RFID electronic tags set on the shelf in the present invention; Figure 2 : Schematic diagram of hardware connection block in the present invention; Figure 3 : Schematic diagram of the picking process in the present invention; Figure 4 : Schematic diagram of inventory process among the present invention.
[0021] Description of reference numerals: 1—Shelf; 2—Support platform; 3—Weighing sensor; 4—RFID electronic tag. DETAILED DESCRIPTION
[0022] The following combination Figures 1 to 4 , the present invention is further described: This invention, centered on AR visual picking technology, utilizes augmented reality to combine virtual information with the actual warehouse environment, providing workers with virtual guidance and displays. Through computer vision and deep learning technologies, it enables rapid identification and location of stored goods. Using cameras or other sensors to capture image data, algorithms perform image analysis and object recognition to accurately determine the location and attributes of goods. This provides workers with real-time information on the location, quantity, and picking path of goods, improving operational efficiency and accuracy.
[0023] Using devices like AR glasses to record real-time picking operations can document the operator's operational process and the execution of each step. This allows for future playback and analysis for training, review, and analysis, ultimately improving work quality and efficiency. Workers can also interact with the AR visual picking control module via voice, eliminating the need for manual input or barcode scanning. Speech recognition technology converts voice commands into text, making it easier for operators to record and retrieve information. Furthermore, the voice output function provides more intuitive and efficient operational guidance through voice prompts and guidance.
[0024] Workers can also directly use the AR visual picking system's camera to take screenshots and photos, recording information such as the material's location, status, and appearance. This provides a more intuitive and accurate reference for subsequent processing and tracing, avoiding errors that may be caused by manual memory or text descriptions. While ensuring operator convenience and efficiency, it provides more detailed and traceable picking records, improving warehouse safety and the level of inventory control.
[0025] The present invention designs an AR collaborative digital demonstration of material management, explores the interactive linkage mechanism with materials, storage locations and other information during digital picking, and designs a real-time data update mechanism to ensure that the AR visual picking system can accurately obtain the latest material inventory and storage location status information, and at the same time transmit the task information in the AR visual picking system. The staff can perform picking operations based on the task information displayed by the AR visual system. After the picking is completed, real-time feedback is given to the AR collaborative digital system to update the material inventory and storage location status information, thereby realizing the identification and precise positioning of warehouse material information, completing the automatic inventory function, and improving the efficiency and accuracy of inventory.
[0026] like Figure 1 As shown, identifiable materials and unidentifiable materials are placed on different supporting platforms 2 of the shelf 1 , and each supporting platform 2 is provided with a weighing sensor 3 capable of measuring the weight of the identifiable materials or unidentifiable materials on the supporting platform 2 .
[0027] like Figure 2 As shown, the weighing sensor 3 sends the measured value to the storage unit of the RFID electronic tag 4 on the shelf 1 for storage; the information stored in the RFID electronic tag 4 can be read by a handheld RFID reader and transmitted to the data storage control center, or can be read by an RFID reading and writing unit compatible with AR glasses and transmitted to the data storage control center. The image of the identifiable material is directly stored in the storage unit of the AR glasses; the image of the identifiable material is directly stored in the storage unit of the AR glasses; the image of the unidentifiable material and the position information of the RFID electronic tag 4 to which it belongs are stored in the data storage control center, and the control unit of the AR glasses can retrieve the image of the unidentifiable material from the data storage control center through the wireless network and display it to the staff, and retrieve the position information of the RFID electronic tag 4 to which the unidentifiable material belongs to display the path in the AR glasses.
[0028] The data storage and control center stores the image, location, unit weight m, and quantity n of each identifiable or unidentifiable material on each support platform 2. Quantity n changes with incoming and outgoing materials. The measured value M by the weighing sensor 3 is calculated as: unit weight m of the identifiable or unidentifiable material * quantity n. While individual material weights may vary, this error can be controlled during entry to the warehouse, minimizing it to a level that does not affect the accuracy of the quantity n calculation.
[0029] The AR glasses-compatible RFID reading and writing unit and the data storage control center both have the ability to calculate the quantity of identifiable materials or unidentifiable materials through the weight measured by the weighing sensor 3 and the weight of a single identifiable material or a single unidentifiable material, and can make reasonable corrections to the calculated data and calculation results.
[0030] like Figure 3As shown, when picking goods, the method of the present invention for digitally identifying and managing materials based on AR vision technology includes the following steps: Step 1: Classify the materials in the warehouse into identifiable materials and unidentifiable materials; the weight of identifiable materials and unidentifiable materials is measured in real time by different weighing sensors 3, and the measurement data is stored in RFID electronic tags 4; the data storage control center can obtain the weight data of identifiable materials and unidentifiable materials in RFID electronic tags 4.
[0031] Step 2: The data storage control center sends a picking task to the control unit of the AR glasses and generates a material picking list.
[0032] Step 3: The AR glasses directly capture images of materials through the camera to form a path for identifiable materials, or the AR glasses cooperate with the RFID electronic tag 4 to form a path for unidentifiable materials. The AR glasses display two paths to guide the staff to the designated material shelf.
[0033] Step 4: After the staff has selected the materials, the weighing sensor 3, the RFID electronic tag 4, the AR glasses-compatible RFID read-write unit, and the data storage control center automatically calculate and update the quantity and / or weight of the remaining materials.
[0034] Identifiable materials and unidentifiable materials are classified based on whether the materials have complex appearance, whether the materials are messily stacked, whether the edges of the materials are difficult to distinguish, or whether the materials are densely stacked. Any of the above factors causes the AR glasses to be unable to directly identify the type and quantity of materials through the camera, and they are all unidentifiable materials.
[0035] In step 3, the AR glasses display the picking path formed according to the material picking list of the identifiable materials, and guide the staff to directly reach the corresponding identifiable material shelves. The AR glasses display the corresponding identifiable material images or provide voice guidance for the staff to locate quickly and accurately.
[0036] In step 3, the AR glasses retrieve the location of the RFID electronic tag 4 belonging to the unrecognizable material from the database server of the data storage control center according to the material picking list of the unrecognizable material. The AR glasses guide the staff to the location of the RFID electronic tag 4 belonging to the unrecognizable material. The AR glasses display the corresponding unrecognizable material image or provide voice guidance for the staff to locate it quickly and accurately.
[0037] Step 4. When the staff sorts out one or more identifiable materials from the support platform, the AR glasses use the camera to capture images of the identifiable materials and push the material image information to the algorithm server of the data storage control center, perform algorithm recognition on the name and quantity of the picked materials, and send it to the database server of the data storage control center for data comparison and update; at the same time, the weighing sensor 3 senses the reduction of identifiable materials on the corresponding support platform and sends the corresponding weight data to the RFID electronic tag 4, the RFID reading and writing unit compatible with the AR glasses reads the RFID electronic tag 4 and transmits it to the database server of the data storage control center, and the data storage control center compares the remaining identifiable material quantity determined by the AR glasses through the image with the remaining identifiable material quantity determined by the RFID reading and writing unit compatible with the AR glasses to determine whether the number of sorted identifiable materials is accurate.
[0038] Step 4. When the staff sorts out one or more unrecognizable materials from the support platform, the weighing sensor 3 senses the reduction of unrecognizable materials on the corresponding support platform and sends the corresponding data to the RFID electronic tag 4. The RFID reading and writing unit compatible with the AR glasses reads the RFID electronic tag 4 and transmits it to the data storage control center. The data storage control center will determine the number of remaining unrecognizable materials and update the corresponding data.
[0039] like Figure 4 As shown, the method for digitally identifying and managing materials based on AR visual technology in the present invention is applicable to inventory, and includes the following steps: Step 1: Classify the materials in the warehouse into identifiable materials and unidentifiable materials; the weight of identifiable materials and unidentifiable materials is measured in real time by different weighing sensors 3, and the measurement data is stored in RFID electronic tags 4; the data storage control center can obtain the weight data of identifiable materials and unidentifiable materials in RFID electronic tags 4.
[0040] Step 2: The data storage control center sends an inventory task to the control unit of the AR glasses and generates a material inventory list.
[0041] Step 3: The AR glasses directly capture images of materials through the camera to form a path for identifiable materials, or the AR glasses cooperate with the RFID electronic tag 4 to form a path for unidentifiable materials. The AR glasses display two paths to guide the staff to the designated material shelf.
[0042] Step 4: The camera on the AR glasses is aimed at the identifiable materials on the shelf, and the material information in the warehouse is automatically photographed and pushed to the algorithm server of the data storage control center for algorithm identification; the compatible RFID reading and writing unit on the AR glasses reads the name and weight data of the unrecognizable materials in the RFID electronic tag 4 and sends it to the database server of the data storage control center for quantity identification and comparison.
[0043] Step 5: The algorithm server in the storage control center identifies the material information and quantity and transmits it back to the AR glasses for comparison. The database server in the storage control center transmits the quantity identification results of unrecognizable materials back to the AR glasses for comparison. If the two results are consistent, the inventory is completed.
[0044] Step 4. When the staff takes inventory of identifiable materials, the AR glasses use the camera to capture images of the identifiable materials and push the material image information to the algorithm server of the data storage control center. The algorithm identifies the name and quantity of the picked materials and sends it to the database server of the data storage control center for data comparison and update. At the same time, the RFID reading and writing unit compatible with the AR glasses reads the RFID electronic tag 4 and transmits it to the database server of the data storage control center. The data storage control center compares the number of identifiable materials determined by the image from the AR glasses with the number of identifiable materials determined by the information of the identifiable materials from the RFID reading and writing unit compatible with the AR glasses, so as to determine and verify whether the number of identifiable materials in the inventory is accurate.
[0045] The present invention is described above by way of example in conjunction with the accompanying drawings. It is obvious that the implementation of the present invention is not limited to the above-mentioned method. As long as various improvements are made using the method concept and technical solution of the present invention, or the concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the scope of protection of the present invention.
Claims
1. A method for digitally identifying and managing materials based on AR vision technology, comprising the following steps: Step 1: Classify the materials in the warehouse into identifiable materials and unidentifiable materials; the identifiable materials and unidentifiable materials are measured in real time by different weighing sensors (3), and the measurement data is stored in the RFID electronic tag (4); The data storage control center can obtain the weight data of identifiable materials and unidentifiable materials in the RFID electronic tag (4); Step 2: The data storage control center sends a picking task to the control unit of the AR glasses and generates a material picking list; Step 3: AR glasses directly capture images of materials through the camera to form a path for identifiable materials, or AR glasses cooperate with RFID electronic tags (4) to form a path for unidentifiable materials. AR glasses display two paths to guide staff to the designated material shelves; Step 4: After the staff has selected the materials, the weighing sensor (3), the RFID electronic tag (4), the AR glasses-compatible RFID reading and writing unit, and the data storage control center automatically calculate and update the quantity and / or weight of the remaining materials.
2. The method for digitally identifying and managing materials based on AR visual technology according to claim 1, characterized in that: The image of the identifiable material is directly stored in the storage unit of the AR glasses; the image of the unidentifiable material and the location information of the RFID electronic tag (4) to which it belongs are stored in the data storage control center, and the control unit of the AR glasses can retrieve the image of the unidentifiable material from the data storage control center through the wireless network and display it to the staff, and retrieve the location information of the RFID electronic tag (4) to which the unidentifiable material belongs to display the path in the AR glasses; Identifiable materials and unidentifiable materials are classified based on whether the materials have complex appearance, whether the materials are messily stacked, whether the edges of the materials are difficult to distinguish, or whether the materials are densely stacked. Any of the above factors causes the AR glasses to be unable to directly identify the type and quantity of materials through the camera, and they are all unidentifiable materials.
3. The method for digitally identifying and managing materials based on AR visual technology according to claim 1, characterized in that: Identifiable materials and unidentifiable materials are arranged on different supporting platforms (2) of a shelf (1); each supporting platform (2) is provided with a weighing sensor (3) capable of measuring the weight of the identifiable materials or unidentifiable materials on the supporting platform (2); the weighing sensor (3) sends the measured value to a storage unit of an RFID electronic tag (4) on the shelf (1) for storage; the information stored in the RFID electronic tag (4) can be read by an RFID reader and transmitted to a data storage control center, or can be read by an RFID reading and writing unit compatible with AR glasses and transmitted to a data storage control center; The data storage control center stores the image, location, single weight m and quantity n of identifiable or unidentifiable materials on each support platform (2), and the quantity n will change as the materials enter or leave the warehouse.
4. The method for digitally identifying and managing materials based on AR visual technology according to claim 1, characterized in that: In step 3, the AR glasses display the picking path formed according to the material picking list of the identifiable materials, and guide the staff to directly reach the corresponding identifiable material shelves. The AR glasses display the corresponding identifiable material images or provide voice guidance for the staff to locate quickly and accurately.
5. The method for digitally identifying and managing materials based on AR visual technology according to claim 1, characterized in that: In step 3, the AR glasses retrieve the location of the RFID electronic tag (4) of the unrecognizable material from the database server of the data storage control center according to the material picking list of the unrecognizable material. The AR glasses guide the staff to the location of the RFID electronic tag (4) of the unrecognizable material. The AR glasses display the corresponding image of the unrecognizable material or provide voice guidance to facilitate the staff to locate the material quickly and accurately.
6. The method for digitally identifying and managing materials based on AR visual technology according to claim 1, characterized in that: Step 4: When the staff sorts out one or more identifiable materials from the support platform, the AR glasses use the camera to capture images of the identifiable materials and push the material image information to the algorithm server of the data storage control center, perform algorithm recognition on the name and quantity of the picked materials, and send the data to the database server of the data storage control center for data comparison and update; at the same time, the weighing sensor (3) senses the reduction of the identifiable materials on the corresponding support platform and sends the corresponding weight data to the RFID electronic tag (4), the RFID reading and writing unit compatible with the AR glasses reads the RFID electronic tag (4) and transmits it to the database server of the data storage control center, and the data storage control center compares the remaining identifiable material quantity determined by the AR glasses through the image with the remaining identifiable material quantity determined by the RFID reading and writing unit compatible with the AR glasses, thereby judging whether the number of sorted identifiable materials is accurate.
7. The method for digitally identifying and managing materials based on AR visual technology according to claim 1, characterized in that: Step 4: When the staff sorts out one or more unrecognizable materials from the support platform, the weighing sensor (3) senses that the unrecognizable materials on the corresponding support platform are reduced and sends the corresponding data to the RFID electronic tag (4). The RFID reading and writing unit compatible with the AR glasses reads the RFID electronic tag (4) and transmits it to the data storage control center. The data storage control center determines the number of remaining unrecognizable materials and updates the corresponding data.
8. A method for digitally identifying and managing materials based on AR visual technology, comprising the following steps: Step 1: Classify the materials in the warehouse into identifiable materials and unidentifiable materials; the identifiable materials and unidentifiable materials are measured in real time by different weighing sensors (3), and the measurement data is stored in the RFID electronic tag (4); The data storage control center can obtain the weight data of identifiable materials and unidentifiable materials in the RFID electronic tag (4); Step 2: The data storage control center sends an inventory task to the control unit of the AR glasses and generates a material inventory list; Step 3: AR glasses directly capture images of materials through the camera to form a path for identifiable materials, or AR glasses cooperate with RFID electronic tags (4) to form a path for unidentifiable materials. AR glasses display two paths to guide staff to the designated material shelves; Step 4: The camera on the AR glasses is aimed at the identifiable materials on the shelf, and the material information in the warehouse is automatically photographed and pushed to the algorithm server of the data storage control center for algorithm identification; the compatible RFID reading and writing unit on the AR glasses reads the name and weight data of the unidentifiable materials in the RFID electronic tag (4) and sends it to the database server of the data storage control center for quantity identification and comparison; Step 5: The algorithm server in the storage control center identifies the material information and quantity and transmits it back to the AR glasses for comparison. The database server in the storage control center transmits the quantity identification results of unrecognizable materials back to the AR glasses for comparison. If the two results are consistent, the inventory is completed.
9. The method for digitally identifying and managing materials based on AR visual technology according to claim 8, characterized in that: Step 4: When the staff takes inventory of the identifiable materials, the AR glasses use the camera to capture images of the identifiable materials and push the material image information to the algorithm server of the data storage control center, perform algorithm recognition on the name and quantity of the picked materials, and send the data to the database server of the data storage control center for data comparison and update; at the same time, the RFID reading and writing unit compatible with the AR glasses reads the information of the identifiable materials in the RFID electronic tag (4) and transmits it to the database server of the data storage control center. The data storage control center compares the number of identifiable materials determined by the AR glasses through the image with the number of identifiable materials determined by the RFID reading and writing unit compatible with the AR glasses, thereby judging and verifying whether the number of identifiable materials counted is accurate.
10. A system for digitally identifying and managing materials based on AR visual technology, characterized by: Used to implement the method according to any one of claims 1 to 9.
Citation Information
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