Safe article identification method, identification system, device and storage medium

Abstract

The invention relates to a safe article identification method, an identification system, a terminal and a storage medium, and aims to monitor activity conditions of people around a cabinet in real time, analyze sensor data in combination with an intelligent algorithm, accurately judge whether a person approaches or not, and ensure that a tag identification program is started in a safe environment in which no person approaches. The security and accuracy of the identification process are improved, the tag identification program is started only when it is confirmed that no person approaches, the security risk and misidentification problems caused when the person approaches are avoided, the influence of external interference on the identification process is reduced, and the accuracy and reliability of tag identification are improved. A personnel detection system and a label identification program are organically combined, intelligent linkage and automatic management of the system are achieved, and the intelligent degree of the system is enhanced. And real-time monitoring and intelligent judgment are carried out, the operation state of the system is automatically adjusted, the intelligent degree and the management efficiency of the system are improved, potential safety risks are found and processed in time, and the safety protection capability of the system is enhanced.

Description

Technical Field

[0001] The present invention relates to the field of object identification methods and identification systems, and in particular to a safe object identification method, a safe object identification system, an intelligent device and a computer-readable storage medium. Background Art

[0002] In the current fields of logistics, warehousing and asset management, RFID (Radio Frequency Identification) technology is widely used in the design of smart cabinets because it can realize contactless automatic identification and data collection. RFID smart cabinets can automatically identify and manage items stored in the cabinet through built-in RFID readers and antennas, thereby improving the efficiency and accuracy of item management. However, in the existing field of RFID smart cabinet technology, although products and technologies have achieved certain development, there are still many problems. The existing RFID smart cabinets on the market have met the basic item management needs to a certain extent, but with the continuous expansion of application scenarios and the increasing complexity of needs, their limitations have gradually become apparent.

[0003] In terms of development trends, the demand for higher recognition accuracy, stronger anti-interference ability and more intelligent management functions is becoming more urgent. At the same time, with the continuous development of Internet of Things (IoT) technology, the integration and collaborative work of RFID smart cabinets and other smart devices has also become the future development direction. The main problem at present is that some shielding doors cannot completely shield the signal, which may lead to the misidentification of the tag signal outside the cabinet as the internal tag signal, seriously affecting the accuracy and reliability of item identification. This misidentification will not only lead to management confusion, but also may cause data errors and safety hazards. In terms of technical requirements, it is necessary to develop more effective signal shielding technology and more accurate recognition algorithms to improve the ability of smart cabinets to distinguish between internal and external tag signals. In terms of market demand, users expect to have RFID smart cabinets with more stable performance, more convenient operation and more reasonable cost to meet the growing demand for item management. At the same time, the reading algorithm and recognition mechanism for tag signals are not accurate enough, and similar signals from inside and outside cannot be effectively distinguished. There is a lack of effective signal filtering and noise suppression technology, resulting in a high misjudgment rate of signal recognition. Summary of the invention

[0004] The technical problem to be solved by the present invention is that some shielding doors cannot completely shield signals, which may lead to the misidentification of tag signals outside the cabinet as internal tag signals, seriously affecting the accuracy and reliability of item identification; there are also problems such as the reading algorithm and identification mechanism for tag signals are not accurate enough, and similar signals from inside and outside cannot be effectively distinguished, and there is a lack of effective signal filtering and noise suppression technology, resulting in a high misjudgment rate of signal identification. In view of the above-mentioned defects of the prior art, a safe item identification method, identification system, device and storage medium are provided.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] Construct a safe item identification method, including:

[0007] Step S1: Initialize the system to enter the monitoring state;

[0008] Step S2: Collecting data on the activities of people around the safe;

[0009] Step S3: Determine whether the surrounding personnel have left. If they have left, start step S4, otherwise go to step S8;

[0010] Step S4: starting a tag recognition program to prepare for identifying tag information;

[0011] Step S5: Identify the tag information and analyze and identify the tag information data;

[0012] Step S6: Record and save the identified information;

[0013] Step S7: close the tag recognition program and wait for the trigger condition to enter step S3. If not triggered, enter step S8;

[0014] Step S8: Shut down the system.

[0015] Preferably, in the step S2: collecting the activity data of people around the safe, infrared sensors and / or cameras are used to identify and obtain the activity data of people around the safe, and image recognition and motion detection are performed on the activity data.

[0016] Preferably, high-precision infrared sensors and / or deep learning-based camera keyboard safes are used to collect data on human activity around the safe, and an intelligent algorithm is used to analyze whether the activity data reaches a threshold. If it exceeds the threshold, it is considered a safe distance and tag recognition continues. If it reaches within the threshold, the recognition operation is suspended and a warning is issued.

[0017] Preferably, in the step S5: identifying the tag information and analyzing and identifying the tag information data, a deep learning target algorithm and a signal classification algorithm are used to preprocess and extract features of the tag signal, and the tagged object is identified and judged based on the extracted features.

[0018] Preferably, in the process of tag object identification, an adaptive signal enhancement and error correction mechanism is introduced to repair and optimize weak signals and interfered signals.

[0019] Preferably, in the step S5: identifying the tag information and analyzing and identifying the tag information data, step S2 is performed in real time: collecting the activity data of people around the safe. If the number of people detected is outside the threshold, the tag information is continued to be identified and the tag information data is analyzed and identified. If the number of people detected is within the threshold, the identification operation is suspended and an alarm is issued until the number of people detected is outside the threshold and the tag information identification is continued.

[0020] Preferably, the safe includes an openable and closable shielding door, the shielding door is connected to the safe body by a hinge, the shielding door adopts physical isolation and / or electromagnetic shielding isolation, and the shielding door is made of high-performance shielding material.

[0021] Construct a safe item identification system, including:

[0022] Shielding module, used to block external signals for the safe;

[0023] The detection module is used to identify the activities of people around the safe and determine their leaving status;

[0024] The identification module is used to detect the label identification information of the items in the safe and record it.

[0025] A smart terminal is constructed, which includes at least one memory, at least one processor, and a safe item identification program stored in the memory and executable on the processor. When the safe item identification program is executed by the processor, the steps of the safe item identification method described above are implemented.

[0026] A computer-readable storage medium is constructed, wherein a safe item identification program is stored on the computer-readable storage medium, and when the safe item identification program is executed by a processor, the steps of any of the safe item identification methods described above are implemented.

[0027] The beneficial effects of the present invention are: through infrared sensors and deep learning camera detection systems, the activities of people around the cabinet are monitored in real time. And combined with intelligent algorithms to analyze sensor data, it is accurately determined whether there are people approaching, ensuring that the tag recognition program is started in a safe environment where no one is approaching. Thereby improving the safety and accuracy of the recognition process, the tag recognition program is started only when it is confirmed that no one is approaching, avoiding the safety risks and misidentification problems that may be caused when people are approaching, reducing the impact of external interference on the recognition process, and improving the accuracy and reliability of tag recognition. The personnel detection system is organically combined with the tag recognition program to realize the intelligent linkage and automatic management of the system, and enhance the intelligence of the system. And real-time monitoring and intelligent judgment, automatically adjust the operating status of the system, and improve the intelligence and management efficiency of the system. On the premise of ensuring safety, the startup timing and operation process of the tag recognition program are optimized, and the user experience is improved. And real-time monitoring and intelligent judgment, timely discover and deal with potential safety risks, enhance the security protection capability of the system. To sum up, the present invention has established a complete and accurate personnel detection system by introducing advanced personnel sensor technology and intelligent algorithms, realizing real-time and accurate monitoring of personnel activities around the cabinet, ensuring the safety and accuracy of the identification process, and enhancing the intelligence of the system and user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be further described below in conjunction with the accompanying drawings and embodiments. The drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work:

[0029] Figure 1 A schematic diagram of a flow chart of a method for identifying items in a safe according to a preferred embodiment of the present invention;

[0030] Figure 2 A schematic diagram of the structure of a safe item identification system according to a preferred embodiment of the present invention;

[0031] Figure 3 The figure is a schematic diagram of the internal structure of a smart terminal according to a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the following will be described clearly and completely in combination with the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are partial embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the protection scope of the present invention.

[0033] A method for identifying items in a safe according to a preferred embodiment of the present invention; Figure 1 , which is a flow chart of a method for identifying items in a safe provided by an embodiment of the present invention. The method can be executed by a device, and the device can be implemented by software and / or hardware.

[0034] Specifically, in this embodiment, the method for identifying items in a safe includes:

[0035] Initialize the system first, power on or reset the safe system, load the corresponding system configuration parameters and initialize the sensors and controllers, etc., so that the safe can enter the detection state.

[0036] The safe then monitors the activities of people around it. After the safe system is initialized, a high-precision infrared sensor or a deep learning-based camera detection system collects data on the activities of people around the safe in real time to obtain the activities of people around the safe.

[0037] The sensor data is then analyzed to determine whether there is a person approaching the safe. When the proximity reaches a set threshold, the tag recognition program is not started until it is determined whether the person has left.

[0038] When it is determined that the person has left, the RFID reader is started to identify the tag information of the item with the RFID tag, and the identification result of the tag information is recorded. After the recording is completed, the tag identification program is closed and the system is shut down. If it is determined that the person has left, the system light strip is directly turned off and the trigger condition for the next identification is started.

[0039] Furthermore, during the system initialization process, the system is prepared to enter a normal working state. After the initialization is completed, the system enters a standby state and ensures that all system parameters and functions operate normally.

[0040] Furthermore, in the process of monitoring the activities of people around the cabinet, the combination of infrared sensors and cameras is used to monitor the activities of people around the cabinet in real time. Advanced personnel detection technology is adopted, and multiple personnel detection technologies are integrated, such as the joint detection of infrared thermal imaging and visible light cameras. The detection data is analyzed and processed in real time using deep learning algorithms to accurately determine the location and activity status of people. In addition, a reasonable safety distance and early warning mechanism are set. When a person approaches the safety distance, the recognition operation is suspended in time and a warning is issued. The data processing methods for personnel detection include image recognition and motion detection to achieve accurate personnel detection and ensure the safety and accuracy of the recognition process. The infrared sensors and cameras of the personnel detection component are distributed around the safe and fixed on the outer shell of the safe. They are connected to the controller and processing unit through electrical connections. The controller and processing unit are located in the center of the safe. The monitoring data can be transmitted to the control and processing unit, and the controller and processing unit perform data analysis and decision-making. By monitoring the activities of people around the safe, a safe environment is provided for the tag recognition program, ensuring that the tag recognition program is started in a safe environment where no one approaches, thereby improving the safety of the tag recognition process, avoiding security risks and misidentification problems that may be caused by people approaching, achieving accurate monitoring of personnel activities, reducing the impact of external interference on the recognition process, and improving the accuracy and reliability of tag recognition.

[0041] Furthermore, in the process of identifying tag information, the target detection algorithm and signal classification algorithm based on deep learning are used to preprocess and extract features of RFID tag signals, so as to improve the recognition accuracy of the system in multi-tag and complex signal environments. At the same time, an adaptive signal enhancement and error correction mechanism is introduced to repair and optimize weak signals and interfered signals to ensure the reliability of the recognition results. The signal of the RFID tag is transmitted and received by the antenna, and the collected data is analyzed and identified by the signal processing algorithm. The internal tags are quickly and accurately identified, and the management efficiency of the system is improved. In the tag identification process, the RFID tag identification component and the storage unit are fixedly installed inside the safe: the RFID tag identification component and the storage unit are electrically connected, and the identification component transmits the identified data to the storage unit for storage and management. It should be noted that in the tag identification process, the activities of people around the safe are also continuously detected. When a person is detected approaching the safe, the tag information identification is stopped and a warning is issued, and the tag information identification is not performed until the person leaves.

[0042] Furthermore, in the process of recording the recognition results, the recognized tag information is recorded for subsequent query and management.

[0043] Furthermore, in order to improve the shielding type of the safe, the safe door adopts new materials with high magnetic permeability and high shielding efficiency, such as nanocrystalline materials or multi-layer composite shielding materials, and the shielding door is redesigned and manufactured. The shielding door assembly is located at the opening of the smart cabinet, and the RFID tag identification assembly is located inside the cabinet. The two realize effective signal isolation through the separation of physical positions and the application of shielding materials. And it is fixedly connected to the main body of the safe through a hinge for opening and closing operations. At the same time, the structure of the shielding door is optimized, and sealing measures and filtering devices are added to minimize the intrusion of external signals. Through physical isolation and electromagnetic shielding, external signals are blocked from entering the interior of the smart cabinet. Significantly reduce external signal interference and improve the accuracy of internal tag recognition. By deeply integrating the shielding door, personnel detection device and RFID tag identification system, and optimizing the communication protocol and control logic of the system, efficient collaborative work between the various parts is achieved.

[0044] The safe has established a real-time monitoring and feedback mechanism to monitor and analyze the system's operating status in real time, and promptly discover and solve possible problems. This provides an excellent, stable and reliable RFID smart cabinet system, effectively solving many problems existing in existing technologies and providing users with better services and experience.

[0045] Corresponding to a safe deposit box object identification method, the present invention also provides a safe deposit box object identification system, specifically, as Figure 2 As shown, a shielding module 200 , a detection module 300 , and an identification module 400 .

[0046] Specifically, the shielding module 200 is used to block external signals for the safe;

[0047] Furthermore, in order to improve the shielding type of the safe, the safe door adopts new materials with high magnetic permeability and high shielding efficiency, such as nanocrystalline materials or multi-layer composite shielding materials, and the shielding door is redesigned and manufactured. The shielding door assembly is located at the opening of the smart cabinet, and the RFID tag identification assembly is located inside the cabinet. The two realize effective signal isolation through the separation of physical positions and the application of shielding materials. And it is fixedly connected to the main body of the safe through a hinge for opening and closing operations. At the same time, the structure of the shielding door is optimized, and sealing measures and filtering devices are added to minimize the intrusion of external signals. Through physical isolation and electromagnetic shielding, external signals are blocked from entering the interior of the smart cabinet. Significantly reduce external signal interference and improve the accuracy of internal tag recognition. By deeply integrating the shielding door, personnel detection device and RFID tag identification system, and optimizing the communication protocol and control logic of the system, efficient collaborative work between the various parts is achieved.

[0048] The detection module 300 is used to identify the activities of people around the safe and determine the departure status;

[0049] Furthermore, in the process of monitoring the activities of people around the cabinet, the combination of infrared sensors and cameras is used to monitor the activities of people around the cabinet in real time. Advanced personnel detection technology is adopted, and multiple personnel detection technologies are integrated, such as the joint detection of infrared thermal imaging and visible light cameras. The detection data is analyzed and processed in real time using deep learning algorithms to accurately determine the location and activity status of people. In addition, a reasonable safety distance and early warning mechanism are set. When a person approaches the safety distance, the recognition operation is suspended in time and a warning is issued. The data processing methods for personnel detection include image recognition and motion detection to achieve accurate personnel detection and ensure the safety and accuracy of the recognition process. The infrared sensors and cameras of the personnel detection component are distributed around the safe and fixed on the outer shell of the safe. They are connected to the controller and processing unit through electrical connections. The controller and processing unit are located in the center of the safe. The monitoring data can be transmitted to the control and processing unit, and the controller and processing unit perform data analysis and decision-making. By monitoring the activities of people around the safe, a safe environment is provided for the tag recognition program, ensuring that the tag recognition program is started in a safe environment where no one approaches, thereby improving the safety of the tag recognition process, avoiding security risks and misidentification problems that may be caused by people approaching, achieving accurate monitoring of personnel activities, reducing the impact of external interference on the recognition process, and improving the accuracy and reliability of tag recognition.

[0050] Identification module 400, used to detect label identification information of items in the safe and record and save it;

[0051] In the process of identifying tag information, the target detection algorithm and signal classification algorithm based on deep learning are used to preprocess and extract features of RFID tag signals to improve the recognition accuracy of the system in multi-tag and complex signal environments. At the same time, adaptive signal enhancement and error correction mechanisms are introduced to repair and optimize weak signals and interfered signals to ensure the reliability of recognition results. The signals of RFID tags are transmitted and received through antennas, and the collected data are analyzed and identified using signal processing algorithms. Fast and accurate identification of internal tags is achieved to improve the management efficiency of the system. In the tag recognition process, the RFID tag recognition component and storage unit are fixedly installed inside the safe: the RFID tag recognition component and the storage unit are electrically connected, and the recognition component transmits the recognized data to the storage unit for storage and management.

[0052] In the process of recording the recognition results, the recognized tag information is recorded for subsequent query and management.

[0053] Based on the above embodiments, the present invention further provides an intelligent terminal, whose principle block diagram is as follows: Figure 3As shown, the above-mentioned intelligent terminal includes a processor, a memory, a network interface and a display screen connected through a system bus. The processor of the intelligent terminal is used to provide computing and control capabilities. The memory of the intelligent terminal includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a safe item identification program. The memory provides an environment for the operation of the operating system and the safe item identification program in the non-volatile storage medium. The network interface of the intelligent terminal is used to communicate with an external terminal through a network connection. When the safe item identification program is executed by the processor, the steps of any one of the above-mentioned safe item identification methods are implemented. The display screen of the intelligent terminal can be a liquid crystal display screen or other display screens.

[0054] Those skilled in the art will understand that Figure 3 The principle block diagram shown in the figure is only a block diagram of a partial structure related to the scheme of the present invention, and does not constitute a limitation on the smart terminal to which the scheme of the present invention is applied. The specific smart terminal may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0055] In an embodiment of the present invention, a smart terminal is provided. The smart terminal includes a memory, a processor, and a safe item identification program stored in the memory and executable on the processor. When the safe item identification program is executed by the processor, the following operation instructions are performed:

[0056] Initialize the system first, so that the safe system enters the monitoring state;

[0057] Monitor the activities of people around the safe;

[0058] Determine whether the person around the safe is approaching or leaving. If they leave, it will proceed to the next step, otherwise shut down the system;

[0059] Next, start the tag recognition program to enter the RFID tag recognition state;

[0060] Identify the RFID tag information in the safe;

[0061] Record the identified results;

[0062] Then close the tag recognition program and wait for the next trigger condition or shut down the system.

[0063] An embodiment of the present invention further provides a computer-readable storage medium, on which a safe item identification program is stored. When the safe item identification program is executed by a processor, the steps of any safe item identification method provided in the embodiment of the present invention are implemented.

[0064] It should be understood that the present invention is described by some embodiments, and those skilled in the art will appreciate that various changes or equivalent substitutions may be made to these features and embodiments without departing from the spirit and scope of the present invention. In addition, under the teachings of the present invention, these features and embodiments may be modified to adapt to specific circumstances and materials without departing from the spirit and scope of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed herein, and all embodiments falling within the scope of the claims of this application are within the scope of protection of the present invention.

Claims

1. A method for identifying items in a safe, characterized in that: include: Step S1: Initialize the system to enter the monitoring state; Step S2: Collecting data on the activities of people around the safe; Step S3: Determine whether the surrounding personnel have left. If they have left, start step S4, otherwise go to step S8; Step S4: starting a tag recognition program to prepare for identifying tag information; Step S5: Identify the tag information and analyze and identify the tag information data; Step S6: Record and save the identified information; Step S7: close the tag recognition program and wait for the trigger condition to enter step S3. If not triggered, enter step S8; Step S8: Shut down the system.

2. The identification method according to claim 1, characterized in that: In the step S2: collecting the activity data of people around the safe, infrared sensors and / or cameras are used to identify and obtain the activity data of people around the safe, and image recognition and motion detection are performed on the activity data.

3. The identification method according to claim 2, characterized in that: High-precision infrared sensors and / or cameras based on deep learning are used to collect data on the activities of people around the keyboard safe, and intelligent algorithms are used to analyze whether the activity data reaches the threshold. If it exceeds the threshold, it is considered a safe distance and tag recognition continues. If it reaches within the threshold, the recognition operation is suspended and an alarm is issued.

4. The identification method according to claim 1, characterized in that: In the step S5: identifying the tag information and analyzing and identifying the tag information data, the deep learning target algorithm and signal classification algorithm are used to pre-process and extract features of the tag signal, and the tagged object is identified and judged based on the extracted features.

5. The identification method according to claim 4, characterized in that: In the process of tag object identification, an adaptive signal enhancement and error correction mechanism is introduced to repair and optimize weak signals and interfered signals.

6. The identification method according to claim 1, characterized in that: In the step S5: identifying the tag information and analyzing and identifying the tag information data, step S2 is performed in real time: collecting the activity data of people around the safe. If the detected person is outside the threshold, the tag information is continued to be identified and the tag information data is analyzed and identified. If the detected person is within the threshold, the identification operation is suspended and an alarm is issued until the detected person is outside the threshold and the tag information identification is continued.

7. The identification method according to claim 1, characterized in that: The safe comprises an openable and closable shielding door, which is connected to the safe body via a hinge. The shielding door adopts physical isolation and / or electromagnetic shielding isolation, and is made of high-performance shielding material.

8. A safe item identification system, characterized in that: include: Shielding module, used to block external signals for the safe; The detection module is used to identify the activities of people around the safe and determine their leaving status; The identification module is used to detect the label identification information of the items in the safe and record it.

9. An intelligent terminal, characterized in that: The intelligent terminal includes at least one memory, at least one processor, and a safe item identification program stored in the memory and executable on the processor. When the safe item identification program is executed by the processor, the steps of the safe item identification method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a safe item identification program, and when the safe item identification program is executed by the processor, the steps of the safe item identification method according to any one of claims 1 to 7 are implemented.

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