Person detection system and person detection method

Abstract

The application discloses a personnel detection system and a personnel detection method, and belongs to the technical field of intrusion detection. The system comprises the following steps: a plurality of target areas have authorized first terminals establishing communication connections through short-distance wireless communication modules to form a distributed communication network; the first terminal is used for broadcasting a short-distance wireless communication signal and scanning the short-distance wireless communication signal of other terminals within a preset distance range, and the first terminal is also used for publishing the scanned short-distance wireless communication signal to the distributed communication network; the first terminal is also used for acquiring signal strength indication information of the target area based on the short-distance wireless communication signal in the distributed communication network, and determining un-authorized personnel detection information of the target area based on the signal strength indication information. The system can realize accurate detection of un-authorized personnel, has the advantages of simple deployment, low cost, strong environmental adaptability and high privacy security.

Description

Technical Field

[0001] This application belongs to the field of intrusion detection technology, and in particular relates to a personnel detection system and a personnel detection method. Background Technology

[0002] In security management of office areas and critical equipment, intrusion detection by unauthorized personnel is a crucial means of ensuring environmental security. Traditional intrusion detection primarily relies on deploying hardware devices such as cameras, access control systems, or infrared sensors to identify unauthorized individuals. For example, cameras use facial recognition to detect abnormal behavior; however, this method is costly to deploy and maintain, lacks clear information collection boundaries, and poses privacy risks. Access control systems rely on card swipes or password verification, cannot monitor unauthorized personnel movement in real time, and are ineffective against individuals without valid credentials (such as cardless intruders). Furthermore, these hardware deployment solutions typically require centralized server support, making them complex to implement and unsuitable for small and medium-sized enterprises or temporary locations. Summary of the Invention

[0003] This application aims to address at least one of the technical problems existing in the prior art. To this end, this application proposes a personnel detection system and method that requires no additional hardware deployment, can accurately detect unauthorized personnel, is simple to deploy, low in cost, highly adaptable to the environment, and offers high privacy and security.

[0004] In a first aspect, this application provides a personnel detection system, the method comprising: Multiple first terminals are located in the target area. Each first terminal is equipped with a short-range wireless communication module. The multiple first terminals establish a communication connection through the short-range wireless communication module to form a distributed communication network. The first terminal is used to broadcast short-range wireless communication signals and scan the short-range wireless communication signals of other terminals within a preset distance range. The first terminal is also used to publish the scanned short-range wireless communication signals to the distributed communication network. The first terminal is further configured to acquire signal strength indication information of the target area based on short-range wireless communication signals in the distributed communication network, and determine unauthorized personnel detection information of the target area based on the signal strength indication information, wherein the first terminal is an authorized terminal in the target area.

[0005] According to the personnel detection system of this application, a distributed communication network is constructed by multiple authorized first terminals in the target area. The first terminals continuously scan the surrounding short-range wireless communication signals and publish the scanned data in the distributed communication network. Based on the signal strength indication information of the target area, the system analyzes whether there are moving objects in the target area and the movement trajectory of the moving objects to obtain the detection information of unauthorized personnel in the target area. No additional hardware equipment is required, which can achieve accurate detection of unauthorized personnel. The system is simple to deploy, low in cost, highly adaptable to the environment, and has high privacy and security.

[0006] According to one embodiment of this application, the first terminal is used to obtain trajectory detection information of a first moving object within the target area based on the signal strength indication information, and to determine that the first moving object is an unauthorized person without equipment based on the trajectory detection information of the first moving object and the location layout map of the target area, thereby obtaining the detection information of the unauthorized person corresponding to the first moving object, wherein the location layout map includes information indicating the location of the first terminal.

[0007] According to one embodiment of this application, the first terminal is configured to determine the signal strength fluctuation characteristics of the target area based on the signal strength indication information, and determine the trajectory detection information of the first moving object based on the signal strength fluctuation characteristics. The signal strength fluctuation characteristics include at least one of signal time domain characteristics, signal vector characteristics, and signal correlation between the first terminal.

[0008] According to one embodiment of this application, the first terminal is used to determine, based on the trajectory detection information of the first mobile object and the location layout map, that the first mobile object is an unauthorized person without equipment, when the trajectory detection information of the first mobile object is determined to match the first preset movement pattern.

[0009] According to one embodiment of this application, the first terminal is equipped with a personnel detection model, and the first terminal is used to input the signal strength indication information into the personnel detection model to obtain the unauthorized personnel detection information output by the personnel detection model.

[0010] According to one embodiment of this application, the detection parameters of the personnel detection model are adjusted based on real-time environmental data of the target area using a reinforcement learning algorithm.

[0011] According to one embodiment of this application, the first terminal is further configured to obtain terminal identity information of the target area; and if, based on the terminal identity information, it is determined that there is an unauthorized second terminal in the target area, the first terminal obtains trajectory detection information of the second terminal. The first terminal is further configured to determine, based on the trajectory detection information of the second terminal and if the movement trajectory of the second terminal matches a second preset movement pattern, that there is an unauthorized person holding the second terminal in the target area, and obtain the unauthorized person detection information corresponding to the second terminal.

[0012] According to one embodiment of this application, the first terminal is used to determine the communication module hardware address of each terminal in the target area based on short-range wireless communication signals, compare the communication module hardware address with the address whitelist of the target area to obtain the terminal identity information, wherein the address whitelist of the target area is dynamically updated.

[0013] According to one embodiment of this application, the hardware address of the communication module in the short-range wireless communication signal emitted by the first terminal is obtained through hash encryption.

[0014] According to one embodiment of this application, the first terminal is further provided with a motion sensor, the motion sensor being used to collect motion data of the first terminal, and the short-range wireless communication signal broadcast by the first terminal includes the motion data of the first terminal; The first terminal is further configured to determine the first terminal in a stationary state based on the short-range wireless communication signal in the distributed communication network, and to determine the signal strength indication information based on the short-range wireless communication signal of the first terminal in a stationary state; Whether the first terminal is stationary is determined based on the motion data of the first terminal.

[0015] According to one embodiment of this application, the first terminal is further configured to output alarm information based on the unauthorized personnel detection information, the alarm information including the location information and movement trajectory of the unauthorized personnel.

[0016] Secondly, this application provides a personnel detection method, the method being used in the personnel detection system as described in the first aspect above, the method comprising: Based on the short-range wireless communication signals in the distributed communication network, obtain signal strength indication information for the target area; Based on the signal strength indication information, the detection information of unauthorized personnel in the target area is determined.

[0017] According to one embodiment of this application, determining the unauthorized personnel detection information of the target area based on the signal strength indication information includes: Based on the signal strength indication information, the trajectory detection information of the first moving object within the target area is obtained; Based on the trajectory detection information of the first moving object and the location layout map of the target area, it is determined that the first moving object is an unauthorized person without a device, and the detection information of the unauthorized person corresponding to the first moving object is obtained. The location layout map includes information indicating the location of the first terminal.

[0018] According to one embodiment of this application, the unauthorized personnel detection information is obtained through the following steps: The signal strength indication information is input into the personnel detection model to obtain the unauthorized personnel detection information output by the personnel detection model.

[0019] According to one embodiment of this application, the detection parameters of the personnel detection model are adjusted based on real-time environmental data of the target area using a reinforcement learning algorithm.

[0020] According to one embodiment of this application, obtaining signal strength indication information of the target area based on short-range wireless communication signals in the distributed communication network includes: Based on the short-range wireless communication signal in the distributed communication network, a first terminal in a stationary state is determined. Whether the first terminal is in a stationary state is determined based on the motion data of the first terminal. The signal strength indication information is determined based on the short-range wireless communication signal of the first terminal when it is stationary.

[0021] According to one embodiment of this application, after determining the unauthorized personnel detection information for the target area, the method further includes: Based on the unauthorized personnel detection information, an alarm message is output, which includes the location information and movement trajectory of the unauthorized personnel.

[0022] Thirdly, this application provides an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the personnel detection method as described in the second aspect above.

[0023] Fourthly, this application provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the personnel detection method as described in the second aspect above.

[0024] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the personnel detection method as described in the second aspect above.

[0025] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0026] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a schematic diagram of the personnel detection system provided in the embodiments of this application; Figure 2 This is a schematic diagram of the location layout provided in the embodiments of this application; Figure 3 This is a schematic diagram of the personnel detection system performing detection according to an embodiment of this application; Figure 4 This is a flowchart illustrating the personnel detection method provided in the embodiments of this application; Figure 5 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0027] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0028] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0029] This application proposes a personnel detection system that requires no additional hardware deployment, can accurately detect unauthorized personnel, is simple to deploy, low in cost, highly adaptable to the environment, and offers high privacy and security.

[0030] The personnel detection system, personnel detection method, electronic device, readable storage medium, and computer program product provided in this application will be described in detail below with reference to the accompanying drawings and through specific embodiments and application scenarios.

[0031] like Figure 1 As shown, the personnel detection system includes multiple first terminals.

[0032] It should be noted that terminals include, but are not limited to, electronic devices with short-range wireless communication modules such as mobile phones, tablets, and wearable devices.

[0033] In this embodiment, multiple first terminals are located in the target area, which is an area where there is a need for detection by unauthorized personnel (such as office areas, important equipment, etc.), and the first terminals are authorized terminals in the target area.

[0034] In this embodiment, the first terminal is equipped with a short-range wireless communication module, and multiple first terminals establish a communication connection through the short-range wireless communication module to form a distributed communication network.

[0035] In practice, a short-range wireless communication module can be a hardware unit such as a Bluetooth module, LoRa module, or Zigbee module that enables wireless data transmission between devices within a certain distance.

[0036] It should be noted that a distributed communication network is a decentralized network architecture. In a distributed communication network, multiple first terminals act as nodes of the distributed communication network and can collaborate to share and process local data.

[0037] In practice, a distributed communication network can be a mesh network structure, where each node can communicate directly with any other node within its range and cooperate with each other to forward data along the optimal path.

[0038] In this embodiment, the first terminal is used to broadcast short-range wireless communication signals and scan for short-range wireless communication signals of other terminals within a preset distance range.

[0039] It should be noted that other terminals within the preset distance range of the first terminal can be other first terminals or other unauthorized terminals.

[0040] It is understandable that the short-range wireless communication signal broadcast by a terminal carries information such as the terminal's communication module hardware address (MAC address), device name, and device type. The terminal's identity can be identified through the short-range wireless communication signal, and it can be determined whether the terminal belongs to the first authorized terminal in the target area.

[0041] Taking a short-range wireless communication module as a Bluetooth module as an example, the first terminal is configured to continuously scan for surrounding Bluetooth devices. This first terminal may scan for other first terminals or unknown Bluetooth devices. Based on the Bluetooth signal, information such as MAC address and device type can be parsed to identify the Bluetooth device as a first terminal or other unauthorized terminal.

[0042] In this embodiment, the first terminal is also used to publish the scanned short-range wireless communication signal to a distributed communication network. In the distributed communication network, multiple first terminals share the short-range wireless communication signals they have scanned. Each first terminal is both a signal receiver and a data forwarder.

[0043] In practice, by comparing MAC addresses and timestamps, duplicate data of short-range wireless communication signals in distributed communication networks can be deduplicated, which facilitates subsequent preliminary positioning, fingerprint recognition, and assists in identity verification or device tracking.

[0044] In this embodiment, the first terminal is also used to obtain signal strength indication information of the target area based on short-range wireless communication signals in the distributed communication network, and to determine unauthorized personnel detection information of the target area based on the signal strength indication information.

[0045] It should be noted that multiple first terminals within the target area continuously scan the surrounding environment for short-range wireless communication signals and publish these signals to a distributed communication network. The short-range wireless communication signals in the distributed communication network can cover all locations within the target area. By analyzing the short-range wireless communication signals in the distributed communication network, it is possible to comprehensively detect whether there are moving objects in the target area, thus achieving accurate detection of unauthorized personnel.

[0046] The signal strength indication information may include the Received Signal Strength Indication (RSSI) value, which is used to characterize the signal strength at the receiving end.

[0047] In practice, based on the fluctuation of RSSI values, signal disturbance patterns such as occlusion or multipath effects caused by personnel movement can be identified, and moving objects in the target area can be accurately detected. By analyzing the range of RSSI fluctuations, the area range of the moving object can be determined. Through continuous RSSI fluctuation analysis, the movement trajectory of the moving object in the target area can be estimated.

[0048] In this embodiment, the first terminal can analyze whether there is a moving object in the target area and the moving trajectory of the moving object based on the signal strength indication information, and then determine whether the moving object is an unauthorized person (which can be identified by MAC address or signal strength indication information) to obtain the unauthorized person detection information of the target area.

[0049] In practice, the unauthorized personnel detection information in the target area can include information indicating whether unauthorized personnel exist in the target area, information indicating the current location of unauthorized personnel, and information indicating the movement trajectory of unauthorized personnel.

[0050] Taking the target area as an office area as an example.

[0051] The first terminal can be the employee's mobile phone in the office area. A decentralized distributed communication network can be built through multiple employee mobile phones. Each employee mobile phone continuously scans the surrounding Bluetooth devices, which may scan other employee mobile phones or unknown Bluetooth devices.

[0052] The Bluetooth signals scanned by each employee's mobile phone are aggregated in a distributed communication network. Based on the Bluetooth signals, information such as MAC address and device type can be parsed to identify the Bluetooth device. At the same time, based on the RSSI fluctuations of the Bluetooth signals, it is possible to analyze whether there are moving objects and their movement trajectories in the office area, and to detect whether there are unauthorized personnel in the office area.

[0053] In this embodiment, distributed intrusion detection can be achieved in the office area using employees' mobile phones. It is suitable for small and medium-sized enterprises and temporary office spaces, with low cost, simple deployment, and strong environmental adaptability.

[0054] It should be noted that the distributed communication network includes multiple first terminals. Each first terminal can acquire short-range wireless communication signals in the distributed communication network. First terminals with data processing capabilities (such as high computing power and sufficient power) can be selected to process the short-range wireless communication signals in the distributed communication network, obtain signal strength indication information of the target area, and parse the unauthorized personnel detection information of the target area.

[0055] In related technologies, coarse positioning is achieved by analyzing the RSSI of Bluetooth Low Energy (BLE) broadcast signals, but its function is limited to static positioning of known devices.

[0056] In this embodiment, a distributed communication network is constructed using multiple authorized first terminals in the target area. The first terminals scan the surrounding short-range wireless communication signals and publish them to the distributed communication network. Edge collaborative computing is achieved through the distributed communication network to obtain signal strength indication information of the target area, analyze whether there are moving objects in the target area and the movement trajectory of the moving objects, and combine this with whether the moving objects are unauthorized personnel to obtain unauthorized personnel detection information of the target area. This achieves accurate detection and positioning of unauthorized personnel in the target area without the need for additional deployment of hardware devices such as cameras, access control systems, or Bluetooth gateways. It is low-cost, simple to deploy, and highly adaptable to the environment. Multiple first terminals act as sensors and computing nodes, which can effectively reduce the initial investment of the system. Compared with related technologies that rely on central servers or Bluetooth gateways, it can also effectively reduce network latency and single point of failure risk. Personnel detection is achieved through short-range wireless communication signals, which offers higher privacy and security compared with related technologies that use cameras for image detection.

[0057] In practice, an application (APP) can be installed on the first terminal. The APP drives short-range wireless communication signal scanning, sensor data acquisition (such as gyroscope), and drives the first terminal to communicate with other first terminals in the distributed communication network to perform edge collaborative computing, thereby achieving accurate detection of unauthorized personnel in the target area.

[0058] According to the personnel detection system provided in the embodiments of this application, a distributed communication network is constructed by multiple authorized first terminals in the target area. The first terminals continuously scan the surrounding short-range wireless communication signals and publish the scanned data in the distributed communication network. Based on the signal strength indication information of the target area, the system analyzes whether there are moving objects in the target area and the movement trajectory of the moving objects to obtain the detection information of unauthorized personnel in the target area. No additional hardware equipment is required, which can achieve accurate detection of unauthorized personnel. The system is simple to deploy, low in cost, highly adaptable to the environment, and has high privacy and security.

[0059] In some embodiments, the first terminal is further provided with a motion sensor, which is used to collect motion data of the first terminal.

[0060] Among them, the motion sensor can be a gyroscope, accelerometer or other device. The motion data collected by the motion sensor can be used to distinguish whether the first terminal is in motion or stationary state. That is, whether the first terminal is stationary is determined based on the motion data of the first terminal.

[0061] For example, if the angular velocity of the gyroscope is greater than a preset threshold, it indicates that the first terminal is in motion; if the angular velocity of the gyroscope is less than or equal to the preset threshold, it indicates that the first terminal is in a stationary state.

[0062] For example, if the acceleration vector sum of the accelerometer deviates significantly from the gravitational acceleration, it indicates that the first terminal is in motion; if the acceleration vector sum of the accelerometer is close to the gravitational acceleration, it indicates that the first terminal is at rest.

[0063] In this embodiment, the short-range wireless communication signal broadcast by the first terminal includes the motion data of the first terminal. The first terminal is also used to determine the first terminal in a stationary state based on the short-range wireless communication signal in the distributed communication network, and to determine signal strength indication information based on the short-range wireless communication signal of the first terminal in a stationary state.

[0064] It should be noted that when the first terminal is stationary, it becomes a more stable scanning node in the distributed communication network. The short-range wireless communication signals scanned by the stationary first terminal have better signal quality and can avoid signal errors caused by the movement of the first terminal itself.

[0065] In this embodiment, based on the short-range wireless communication signals in the distributed communication network, a first terminal in a stationary state in the distributed communication network is selected. The signal strength indication information of the target area is obtained and analyzed using the short-range wireless communication signals emitted by the first terminal in a stationary state. This can improve the accuracy of personnel positioning, reduce detection power consumption, and ensure the high reliability and accuracy of the personnel detection system in dynamic environments.

[0066] It should be noted that the personnel detection system in this application embodiment can detect unauthorized personnel with equipment, and can also detect unauthorized personnel without equipment.

[0067] The embodiments of this application will be described in detail below from two different implementation perspectives.

[0068] 1. Unauthorized personnel conducting testing without the necessary equipment.

[0069] In some embodiments, the first terminal is used to obtain trajectory detection information of a first moving object within a target area based on signal strength indication information, and to determine that the first moving object is an unauthorized person without equipment based on the trajectory detection information of the first moving object and the location layout map of the target area, thereby obtaining unauthorized person detection information corresponding to the first moving object.

[0070] Understandably, based on signal strength indication information, it is possible to analyze the fluctuation of signal strength indication within the target area, determine whether there is a moving object within the target area, locate the area where the moving object is located, and obtain the moving trajectory of the moving object within the target area.

[0071] It should be noted that, based on the signal strength indication information, if a moving object is determined to exist in the target area, and if no short-range wireless communication signal is detected at the location of the moving object, the moving object is defined as the first moving object. The first moving object is a person without equipment, and it is necessary to further determine whether the first moving object is authorized.

[0072] The first mobile object being a person without equipment refers to a person who is not carrying a first terminal or other scannable terminal.

[0073] In actual implementation, when the signal strength indication values ​​of multiple first terminals in the target area show synchronous and regular fluctuations, even if no other terminals (i.e., terminals other than the first terminals) are scanned, it can be inferred that there is a first moving object without a device in the target area.

[0074] It is understandable that, based on the signal strength indication information, it is determined that a certain moving object exists in the target area. If there is a short-range wireless communication signal sent by the first terminal at the location of the moving object, then the moving object may be carrying the first terminal, and the moving object may be an authorized person in the target area.

[0075] In this embodiment, after identifying a first moving object without a device, cross-validation is performed based on the trajectory detection information of the first moving object and the location layout map of the target area to further confirm whether the first moving object is an unauthorized person. When it is determined that the first moving object is an unauthorized person without a device, the unauthorized person detection information corresponding to the first moving object is obtained based on the signal strength indication information.

[0076] The location layout diagram includes information indicating the location of the first terminal.

[0077] In actual implementation, the location layout diagram can include the target location corresponding to the first terminal. Based on the short-range wireless communication signals sent by each first terminal, the current location of each first terminal can be determined. Combined with the location layout diagram, it can be determined whether each first terminal is at the corresponding target location.

[0078] For example, such as Figure 2 As shown, the target area includes 7 first terminals, namely a, b, c, d, e, f, and g. The target position corresponding to a in the location layout diagram is A, the target position corresponding to b in the location layout diagram is B, the target position corresponding to c in the location layout diagram is C, the target position corresponding to d in the location layout diagram is D, the target position corresponding to e in the location layout diagram is E, the target position corresponding to f in the location layout diagram is F, and the target position corresponding to g in the location layout diagram is G.

[0079] In this embodiment, based on the signal strength indication information, a first moving object is identified within the target area, and the movement trajectory of the first moving object is S. By cross-validating with the location layout map, it is confirmed that a, b, c, d, and e are all in their respective target positions. The first moving object is not an authorized person at positions A, B, C, D, and E. It can be determined that the first moving object is an unauthorized person without equipment. Based on the signal strength indication information, the detection information of the unauthorized person corresponding to the first moving object is obtained.

[0080] In some embodiments, the first terminal is used to determine the signal strength fluctuation characteristics of the target area based on signal strength indication information, and to determine the trajectory detection information of the first moving object based on the signal strength fluctuation characteristics.

[0081] The signal strength fluctuation characteristics include at least one of the following: signal time-domain characteristics, signal vector characteristics, and signal correlation between the first terminal.

[0082] Signal time-domain features can include the fluctuation frequency and amplitude of the signal strength indication value over time, while signal vector features can include the fluctuation direction and intensity of the signal strength indication value. The movement direction of a moving object can be inferred through signal vector features.

[0083] Signal correlation refers to the degree of correlation between the fluctuations of signal strength indicators among multiple first terminals in a distributed communication network. Signal correlation can be used to analyze whether the signal strength indicators of a target area fluctuate synchronously.

[0084] In practice, when the signal strength indicators of multiple first terminals in the target area show synchronous and regular fluctuations, it can be inferred that there is a moving object in the target area.

[0085] In this embodiment, based on signal strength fluctuation characteristics such as signal time domain characteristics, signal vector characteristics, and signal correlation, regional positioning and trajectory tracking are performed. This allows the determination of the area range where the first moving object exists, the calculation of the first moving object's movement trajectory in the target area, and the acquisition of the trajectory detection information of the first moving object.

[0086] In some embodiments, the first terminal is used to determine, based on the trajectory detection information of the first moving object and the location layout map, that the first moving object is an unauthorized person without equipment, when the moving trajectory of the first moving object matches a first preset moving mode.

[0087] The first preset movement mode can be a preset unauthorized personnel movement mode.

[0088] In this embodiment, after the trajectory detection information of the first moving object is identified, the trajectory detection information of the first moving object is matched with the first preset movement mode. If the matching degree exceeds the preset threshold (that is, the movement trajectory of the first moving object matches the first preset movement mode), it indicates that the first moving object may be an unauthorized person without equipment, and a preliminary alarm is issued. Then, in combination with the location layout map, it is further confirmed whether the first moving object is an unauthorized person.

[0089] It should be noted that by setting a first preset movement pattern for unauthorized personnel movement, the movement trajectory of the first moving object can be matched with the first preset movement pattern to determine whether the first moving object is an unauthorized person without equipment or an authorized person without equipment, thereby improving detection accuracy and reducing the probability of false alarms.

[0090] For example, based on signal strength indication information, the movement trajectory S of the first moving object in the target area is identified, and the movement trajectory S is matched with the first preset movement pattern. If the matching degree exceeds the preset threshold, it indicates that the first moving object may be an unauthorized person without equipment. If the matching degree is lower than the preset threshold, it indicates that the first moving object may be an authorized person without equipment (such as an employee in the office area who does not carry a mobile phone).

[0091] In practice, the daily movement trajectories of authorized and unauthorized personnel can be collected to construct a first preset movement pattern that distinguishes between authorized and unauthorized personnel. This pattern is then matched with the movement trajectory of the first moving object to determine whether the first moving object is an unauthorized person without equipment.

[0092] In this embodiment, by analyzing the signal strength indication information of short-range wireless communication signals, signal disturbance patterns such as occlusion or multipath effects caused by personnel movement are identified. Combined with the location layout map of the target area, it is possible to accurately detect whether there are unauthorized personnel without equipment in the target area, and obtain the location and movement trajectory of unauthorized personnel in the area.

[0093] In practice, signal strength indication information can be processed through artificial intelligence (AI) models to identify signal disturbance patterns caused by object movement and obtain unauthorized personnel detection information for the target area.

[0094] In some embodiments, the first terminal is equipped with a personnel detection model. The first terminal is used to input signal strength indication information into the personnel detection model to obtain unauthorized personnel detection information output by the personnel detection model.

[0095] In practice, the personnel detection model can be a lightweight AI model, such as a neural network trained on TensorFlow Lite.

[0096] In this embodiment, the personnel detection model can extract signal strength fluctuation features, obtain trajectory detection information of the first moving object, and combine the first preset movement mode and location layout map to perform unauthorized personnel detection, and output unauthorized personnel detection information of the target area.

[0097] In a distributed communication network, multiple first terminals can collaborate to complete lightweight personnel detection model inference, reducing the computational burden on individual terminals and improving the detection rate.

[0098] Among related technologies, the artificial intelligence technologies used in intrusion detection mostly involve using AI models for image detection, such as camera-based facial recognition systems. These technologies rely on visual data, pose privacy risks, and require additional hardware support, increasing deployment costs.

[0099] In this embodiment, a personnel detection model is used to process the signal strength indication information, identify the signal disturbance pattern caused by moving objects in the target area, and obtain the unauthorized personnel detection information of the target area. No additional hardware equipment is required, and the privacy and security are high.

[0100] In some embodiments, the detection parameters of the personnel detection model are adjusted based on real-time environmental data of the target area using a reinforcement learning algorithm.

[0101] In this embodiment, by using reinforcement learning algorithms, the detection parameters (such as detection thresholds, scanning strategies, etc.) of the personnel detection model are dynamically adjusted based on real-time environmental data (such as personnel density, time period, and location information), which can improve detection accuracy and reduce false alarms, and has strong environmental adaptability.

[0102] For example, in densely populated target areas, the trigger threshold for the personnel detection model to identify moving objects can be increased to avoid false alarms; in target areas with fewer people or less frequent personnel activity, the trigger threshold for the personnel detection model to identify moving objects can be decreased to improve detection sensitivity.

[0103] It should be noted that the personnel detection model can be continuously learned and optimized through reinforcement learning algorithms, thereby improving the model's adaptability to complex environments.

[0104] In this embodiment, a personnel detection model is deployed on the first terminal, and the computing tasks are allocated to the first terminal. Edge collaborative computing is performed through a distributed communication network, which is low-cost and low-latency. It can achieve real-time and efficient detection of unauthorized personnel without relying on cloud servers. The introduction of a deep learning-based dynamic adjustment mechanism makes it applicable to various complex environments.

[0105] 2. Unauthorized personnel conducting inspections with available equipment.

[0106] In some embodiments, the first terminal is further configured to obtain terminal identity information of the target area; and if, based on the terminal identity information, it is determined that there is an unauthorized second terminal in the target area, the trajectory detection information of the second terminal is obtained.

[0107] In this embodiment, the first terminal is further configured to determine, based on the trajectory detection information of the second terminal and if the movement trajectory of the second terminal matches the second preset movement mode, that there is an unauthorized person holding the second terminal in the target area, and obtain unauthorized person detection information corresponding to the second terminal.

[0108] It is understandable that, based on the short-range communication signals scanned by multiple first terminals in the target area, it is possible to identify how many terminals exist in the target area and the identity of each terminal.

[0109] Among them, the first terminal is an authorized terminal in the target area, and the other terminals are unauthorized terminals in the target area.

[0110] When an unauthorized second terminal is identified in the target area based on short-range communication signals, the movement trajectory of the second terminal is obtained and matched with a second preset movement mode. The second preset movement mode is a preset unauthorized personnel movement mode. If the two match, it is confirmed that there is an unauthorized person holding the second terminal in the target area, and an alarm is triggered. The detection information of the unauthorized person corresponding to the second terminal is obtained, thus realizing the detection of unauthorized personnel with equipment.

[0111] In actual implementation, the signal strength indication information can be processed by the personnel detection model to analyze the movement trajectory of the second terminal and match it with the second preset movement mode to identify whether there are unauthorized personnel holding the second terminal in the target area.

[0112] In some embodiments, the first terminal is used to determine the communication module hardware address of each terminal in the target area based on short-range wireless communication signals, and compare the communication module hardware address with the address whitelist of the target area to obtain terminal identity information.

[0113] Understandably, the address whitelist includes the communication module hardware addresses of each authorized first terminal in the target area. The communication module hardware address of each terminal is compared with the address on the address whitelist. If they match, the terminal is the first terminal; if they do not match, the terminal is the second terminal.

[0114] The address whitelist for the target area is dynamically updated.

[0115] For example, in the current time period, the address whitelist of the target area includes the communication module hardware addresses of 7 terminals: a, b, c, d, e, f, and g. In the next time period, the address whitelist of the target area is updated to include the communication module hardware addresses of 6 terminals: a, b, c, d, e, and f. That is, in the next time period, terminal g is no longer among the first authorized terminals.

[0116] In practice, a dynamically updated address whitelist can be used to manage the authorization status of the target area in a time-sharing and zone-based manner, which can effectively improve the security of the target area.

[0117] In some embodiments, the hardware address of the communication module in the short-range wireless communication signal emitted by the first terminal is obtained after hash encryption.

[0118] In this embodiment, when the first terminal broadcasts a short-range wireless communication signal or publishes the short-range wireless communication signal to a distributed communication network, the hardware address of the communication module carried in the short-range wireless communication signal is hashed and encrypted to achieve data anonymization.

[0119] In practice, the hardware address of the communication module can be hashed and encrypted using algorithms such as SHA-256.

[0120] It should be noted that the communication module hardware addresses stored in the address whitelist of the target area are also hash-encrypted. In a distributed communication network, the communication module hardware addresses are locally hash-encrypted and compared with the dynamically updated address whitelist to ensure that data analysis and sharing are carried out only under the premise of anonymization and valid authorization. At the same time, the personnel detection system only transmits and analyzes communication signals, avoiding the collection and processing of sensitive information such as faces and videos, which complies with relevant privacy regulations.

[0121] In some embodiments, the first terminal is also used to output alarm information based on the detection information of unauthorized personnel.

[0122] In this embodiment, when the first terminal detects unauthorized personnel, it triggers an alarm and can output alarm information through application push messages, emails, speaker broadcasts, etc., to inform relevant personnel that there are unauthorized personnel in the target area.

[0123] The alarm information includes the location information and movement trajectory of unauthorized personnel.

[0124] In practice, the alarm information includes the current location and movement trajectory of the unauthorized personnel. The location information and movement trajectory of the unauthorized personnel can be displayed on the location layout map to help relevant personnel quickly locate the unauthorized personnel.

[0125] The following is a specific example.

[0126] like Figure 3 As shown, multiple first terminals in the target area construct a decentralized distributed communication network, which, driven by edge collaborative computing and AI models, enables automatic detection and alarm of unauthorized personnel in the target area.

[0127] Automatic detection of unauthorized personnel is divided into detection with equipment and detection without equipment. For detection with equipment, the system checks whether the device address is in the whitelist. For detection without equipment, the system analyzes RSSI fluctuation characteristics through an AI model.

[0128] After identifying the movement trajectory of a moving object, the system combines the location layout map to detect unauthorized personnel. If an unauthorized person is detected, a warning is triggered and an alarm message is pushed. The system can track the movement trajectory of unauthorized personnel in the location layout map and provide real-time location feedback.

[0129] In practice, information on unauthorized personnel confirmed by humans can be fed back to the AI ​​model. By using reinforcement learning strategies, the detection threshold and scanning strategy of the AI ​​model can be adjusted to improve the subsequent detection accuracy.

[0130] This application also provides a method for personnel detection.

[0131] The personnel detection method can be applied to the first terminal of the aforementioned personnel detection system, and can be executed by the hardware or software in the first terminal.

[0132] like Figure 4 As shown, the personnel detection method includes steps 410 and 420.

[0133] Step 410: Based on the short-range wireless communication signal in the distributed communication network, obtain the signal strength indication information of the target area.

[0134] Step 420: Based on the signal strength indication information, determine the detection information of unauthorized personnel in the target area.

[0135] According to the personnel detection method provided in the embodiments of this application, a distributed communication network is constructed by multiple authorized first terminals in the target area. The first terminals continuously scan the surrounding short-range wireless communication signals and publish the scanned data in the distributed communication network. Based on the signal strength indication information of the target area, the existence of moving objects and the movement trajectory of moving objects in the target area are analyzed to obtain the detection information of unauthorized personnel in the target area. No additional hardware equipment is required, which can achieve accurate detection of unauthorized personnel. The method is simple to deploy, low in cost, highly adaptable to the environment, and has high privacy and security.

[0136] In some embodiments, step 420, determining the unauthorized personnel detection information of the target area based on signal strength indication information, may include: Based on the signal strength indication information, the trajectory detection information of the first moving object within the target area is obtained; Based on the trajectory detection information of the first moving object and the location layout map of the target area, the first moving object is determined to be an unauthorized person without a device, and the detection information of the unauthorized person corresponding to the first moving object is obtained. The location layout map includes information indicating the location of the first terminal.

[0137] In some embodiments, obtaining trajectory detection information of a first moving object within a target area based on signal strength indication information may include: Based on signal strength indication information, determine the signal strength fluctuation characteristics of the target area; Based on the characteristics of signal strength fluctuations, the trajectory detection information of the first moving object is determined; The signal strength fluctuation characteristics include at least one of the following: signal time-domain characteristics, signal vector characteristics, and signal correlation between the first terminal.

[0138] In some embodiments, determining that the first moving object is an unauthorized person without equipment based on the trajectory detection information of the first moving object and the location layout map of the target area may include: If the trajectory of the first moving object matches the first preset movement mode based on the trajectory detection information of the first moving object, the first moving object is determined to be an unauthorized person without equipment based on the trajectory detection information and the location layout map of the first moving object.

[0139] In some embodiments, unauthorized personnel detection information is obtained through the following steps: The signal strength indication information is input into the personnel detection model to obtain the unauthorized personnel detection information output by the personnel detection model.

[0140] In some embodiments, the detection parameters of the personnel detection model are adjusted based on real-time environmental data of the target area using a reinforcement learning algorithm.

[0141] In some embodiments, step 410, obtaining signal strength indication information of the target area based on short-range wireless communication signals in a distributed communication network, may include: Based on short-range wireless communication signals in a distributed communication network, a first terminal in a stationary state is determined. Whether the first terminal is stationary is determined based on the motion data of the first terminal. Signal strength indication information is determined based on the short-range wireless communication signal of the first terminal in a stationary state.

[0142] In some embodiments, after determining the unauthorized personnel detection information for the target area, the personnel detection method may further include: Based on the detection information of unauthorized personnel, an alarm message is output, which includes the location information and movement trajectory of the unauthorized personnel.

[0143] In some embodiments, the personnel detection method further includes: Obtain the terminal identity information of the target area; If, based on the terminal's identity information, it is determined that an unauthorized second terminal exists in the target area, the trajectory detection information of the second terminal is obtained. Based on the trajectory detection information of the second terminal, if the movement trajectory of the second terminal matches the second preset movement mode, it is determined that there is an unauthorized person holding the second terminal in the target area, and the detection information of the unauthorized person corresponding to the second terminal is obtained.

[0144] In some embodiments, obtaining terminal identity information of a target area may include: Based on short-range wireless communication signals, determine the hardware address of the communication module of each terminal in the target area; The terminal identity information is obtained by comparing the hardware address of the communication module with the address whitelist of the target area. The address whitelist of the target area is dynamically updated.

[0145] In some embodiments, the hardware address of the communication module in the short-range wireless communication signal emitted by the first terminal is obtained after hash encryption.

[0146] In some embodiments, such as Figure 5 As shown, this application embodiment also provides an electronic device 500, including a processor 501, a memory 502, and a computer program stored in the memory 502 and executable on the processor 501. When the program is executed by the processor 501, it implements the various processes of the above-described personnel detection method embodiment and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0147] It should be noted that the electronic devices in the embodiments of this application include the mobile electronic devices and non-mobile electronic devices described above.

[0148] This application also provides a non-transitory computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the various processes of the above-described personnel detection method embodiments and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0149] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0150] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described personnel detection method.

[0151] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0152] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the various processes of the above-described personnel detection method embodiments and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0153] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0154] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0155] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0156] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

[0157] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0158] Although embodiments of this application have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of this application, the scope of which is defined by the claims and their equivalents.

Claims

1. A personnel detection system, characterized in that, include: Multiple first terminals are located in the target area. Each first terminal is equipped with a short-range wireless communication module. The multiple first terminals establish a communication connection through the short-range wireless communication module to form a distributed communication network. The first terminal is used to broadcast short-range wireless communication signals and scan the short-range wireless communication signals of other terminals within a preset distance range. The first terminal is also used to publish the scanned short-range wireless communication signals to the distributed communication network. The first terminal is further configured to acquire signal strength indication information of the target area based on short-range wireless communication signals in the distributed communication network, and determine unauthorized personnel detection information of the target area based on the signal strength indication information, wherein the first terminal is an authorized terminal in the target area.

2. The personnel detection system according to claim 1, characterized in that, The first terminal is used to obtain trajectory detection information of a first moving object within the target area based on the signal strength indication information, and to determine that the first moving object is an unauthorized person without equipment based on the trajectory detection information of the first moving object and the location layout map of the target area, thereby obtaining the detection information of the unauthorized person corresponding to the first moving object. The location layout map includes information indicating the location of the first terminal.

3. The personnel detection system according to claim 2, characterized in that, The first terminal is used to determine the signal strength fluctuation characteristics of the target area based on the signal strength indication information, and to determine the trajectory detection information of the first moving object based on the signal strength fluctuation characteristics. The signal strength fluctuation characteristics include at least one of signal time domain characteristics, signal vector characteristics, and signal correlation between the first terminal.

4. The personnel detection system according to claim 2, characterized in that, The first terminal is used to determine, based on the trajectory detection information of the first mobile object and the location layout map, that the first mobile object is an unauthorized person without equipment, when the trajectory detection information of the first mobile object matches the first preset movement pattern.

5. The personnel detection system according to claim 2, characterized in that, The first terminal is equipped with a personnel detection model. The first terminal is used to input the signal strength indication information into the personnel detection model to obtain the unauthorized personnel detection information output by the personnel detection model.

6. The personnel detection system according to claim 5, characterized in that, The detection parameters of the personnel detection model are adjusted based on real-time environmental data of the target area using a reinforcement learning algorithm.

7. The personnel detection system according to claim 1, characterized in that, The first terminal is also used to obtain terminal identity information of the target area; and if, based on the terminal identity information, it is determined that there is an unauthorized second terminal in the target area, the first terminal obtains trajectory detection information of the second terminal. The first terminal is further configured to determine, based on the trajectory detection information of the second terminal and if the movement trajectory of the second terminal matches a second preset movement pattern, that there is an unauthorized person holding the second terminal in the target area, and obtain the unauthorized person detection information corresponding to the second terminal.

8. The personnel detection system according to claim 7, characterized in that, The first terminal is used to determine the communication module hardware address of each terminal in the target area based on short-range wireless communication signals, compare the communication module hardware address with the address whitelist of the target area to obtain the terminal identity information, and the address whitelist of the target area is dynamically updated.

9. The personnel detection system according to any one of claims 1-7, characterized in that, The hardware address of the communication module in the short-range wireless communication signal emitted by the first terminal is obtained through hash encryption.

10. The personnel detection system according to any one of claims 1-7, characterized in that, The first terminal is also equipped with a motion sensor, which is used to collect motion data of the first terminal. The short-range wireless communication signal broadcast by the first terminal includes the motion data of the first terminal. The first terminal is further configured to determine the first terminal in a stationary state based on the short-range wireless communication signal in the distributed communication network, and to determine the signal strength indication information based on the short-range wireless communication signal of the first terminal in a stationary state; Whether the first terminal is stationary is determined based on the motion data of the first terminal.

11. The personnel detection system according to any one of claims 1-7, characterized in that, The first terminal is also used to output alarm information based on the unauthorized personnel detection information, the alarm information including the location information and movement trajectory of the unauthorized personnel.

12. A method for personnel detection, characterized in that, The method is used in the personnel detection system as described in any one of claims 1-11, the method comprising: Based on the short-range wireless communication signals in the distributed communication network, obtain signal strength indication information for the target area; Based on the signal strength indication information, the detection information of unauthorized personnel in the target area is determined.

13. The personnel detection method according to claim 12, characterized in that, The step of determining the unauthorized personnel detection information in the target area based on the signal strength indication information includes: Based on the signal strength indication information, the trajectory detection information of the first moving object within the target area is obtained; Based on the trajectory detection information of the first moving object and the location layout map of the target area, it is determined that the first moving object is an unauthorized person without a device, and the detection information of the unauthorized person corresponding to the first moving object is obtained. The location layout map includes information indicating the location of the first terminal.

14. The personnel detection method according to claim 13, characterized in that, The unauthorized personnel detection information is obtained through the following steps: The signal strength indication information is input into the personnel detection model to obtain the unauthorized personnel detection information output by the personnel detection model.

15. The personnel detection method according to claim 14, characterized in that, The detection parameters of the personnel detection model are adjusted based on real-time environmental data of the target area using a reinforcement learning algorithm.

16. The personnel detection method according to any one of claims 12-15, characterized in that, The step of obtaining signal strength indication information of the target area based on short-range wireless communication signals in the distributed communication network includes: Based on the short-range wireless communication signal in the distributed communication network, a first terminal in a stationary state is determined. Whether the first terminal is in a stationary state is determined based on the motion data of the first terminal. The signal strength indication information is determined based on the short-range wireless communication signal of the first terminal when it is stationary.

17. The personnel detection method according to any one of claims 12-15, characterized in that, After determining the unauthorized personnel detection information for the target area, the method further includes: Based on the unauthorized personnel detection information, an alarm message is output, which includes the location information and movement trajectory of the unauthorized personnel.

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