Joint security method, device and system based on vibration sensing and visual identification

Abstract

The invention provides a combined security method, device and system based on vibration sensing and visual identification, and the device comprises a fence protection layer which comprises a plurality of basic fence units; the vibration detection layer comprises a plurality of vibration detection units which are arranged on the fence protection layer and have unique mark information; the visual identification layer is arranged on the fence protection layer; when the vibration detection unit detects a vibration signal, the visual identification layer can obtain the corresponding unique mark information and execute a corresponding action so as to determine the image feature information of the invader. Through the above design, the problem that specific analysis and specific feature confirmation of an invader are not facilitated due to poor pertinence of video acquisition and poor specificity of picture information in the existing security technology is solved.

Description

Technical Field

[0001] The present invention relates to the field of security technology, and in particular to a joint security method, device and system based on vibration sensing and visual recognition. Background Art

[0002] An electronic security fence is a security system that uses electronic devices to prevent unauthorized access to a specific area. It typically includes sensors, cameras, alarm systems, and other components to detect intrusions and trigger alerts. It is widely used in residential, commercial, industrial, military, and critical infrastructure facilities. This type of fence not only provides a physical barrier but also enhances security by detecting and responding to unusual activity in real time.

[0003] For example, prior art publication number CN221884413U discloses a machine vision-based intrusion detection system, which includes: multiple video acquisition devices arranged along the inner side of a target enclosure and multiple target detection devices arranged on the target enclosure; the video acquisition devices are arranged at a height greater than the enclosure height of the target enclosure; the video acquisition devices are oriented parallel to the extension direction of the target enclosure closest to the video acquisition devices; the distance between two adjacent video acquisition devices is less than the detection range of the video acquisition devices; the target detection devices include a wide-angle video acquisition device; for each target enclosure, multiple target detection devices are sequentially arranged along the extension direction of the target enclosure; the detection direction of the target detection devices is outside the target enclosure where the target detection device is located; and there is an overlapping area between the detection area of any target detection device and the detection area of the target detection device adjacent to the target detection device. This system reduces the acquisition blind spots outside the enclosure.

[0004] However, this existing technology still has drawbacks. While it appropriately allocates the number of video capture devices along the inner side of the target perimeter and multiple target detection devices on the target perimeter, and minimizes blind spots for intrusion detection and security protection by rationally arranging the height and spacing of the video capture devices, the security system lacks directivity to intruders, resulting in poorly targeted video capture and image information, hindering detailed analysis and identification of intruder characteristics. Summary of the Invention

[0005] Based on this, it is necessary to provide a joint security method, device and system based on vibration sensing and visual recognition to address the problem that the existing security technology has poor targeting of video acquisition and specificity of image information, which is not conducive to the specific analysis and specific feature confirmation of intruders.

[0006] The present invention provides a combined security device based on vibration sensing and visual recognition, comprising: A combined security device based on vibration sensing and visual recognition, comprising: A fence protection layer, including a plurality of basic fence units; a vibration detection layer, comprising a plurality of vibration detection units provided on the fence protection layer and having unique identification information; A visual identification layer is provided on the fence protection layer; When the vibration detection unit detects a vibration signal, the visual recognition layer obtains the corresponding unique mark information and performs corresponding actions to determine the image feature information of the intruder.

[0007] Wherein, the fence protection layer further comprises a track guide unit mounted on a plurality of the basic fence units, and the visual recognition layer is arranged in cooperation with the track guide unit; The basic fence unit includes a first basic base component and a second basic base component that are adjacent to each other, and a basic fence component that is arranged between the first basic base component and the second basic base component and connects the two; Wherein, the basic fence component is provided with a mounting position for mounting the vibration detection unit.

[0008] Wherein, the visual recognition layer includes: a contour recognition unit, provided on the basic fence unit, for obtaining contour information of an intruder between the adjacent first basic base component and the second basic base component, and generating a contour recognition result; The video acquisition unit is configured in conjunction with the track guide unit to determine whether it is necessary to adjust its own state based on the unique mark information and the contour recognition result, and to perform an action to determine the image feature information of the intruder.

[0009] Wherein, the contour recognition unit includes: A first infrared array assembly is arranged in an array along the length of the first base assembly; A second infrared array assembly, matched with the infrared array emission assembly, is arranged on the second basic base assembly; The contour recognition unit and the vibration detection unit are configured in a one-to-one correspondence; when one of the multiple vibration detection units detects a vibration signal, the contour recognition unit associated with the unique mark information will start working to obtain the object contour information between the adjacent first basic base component and the second basic base component, and make a contour recognition result.

[0010] Wherein, the video acquisition unit includes: a driving mechanism assembly, movably disposed on the track guide unit; A video shooting component is mounted on the driving mechanism component; When the contour recognition unit detects the presence of an intruder between the adjacent first base assembly and the second base assembly, the driving mechanism assembly determines the corresponding vibration detection unit according to the unique mark information, and carries the video capture assembly along the track guide unit to a preset relative position point; The video shooting component adjusts the shooting state according to the contour recognition result to determine the image feature information of the intruder.

[0011] Wherein, the video shooting component includes: A focus drive module is used to focus the video lens on the intruder and determine the distance between the video lens and the intruder; A magnification driving module, configured to adjust the video lens magnification to a lens magnification that matches the outline size of the intruder based on the distance information, the unique marker information, and the outline recognition result; The shutter drive module is used to drive the video lens to complete the final imaging to determine the image feature information of the intruder.

[0012] Wherein, the driving mechanism assembly includes: A track matching module, assembled on the track guide unit; a displacement driving module, connected to the track matching module and configured to drive the track matching module to move along the track guiding unit according to the unique identification information; A three-axis motion module is mounted on the track matching module, and a shooting interface is provided on the free end thereof for mounting and connecting the video shooting component; Among them, the three-axis motion module is used to make adaptive posture adjustments based on the distance information, the unique mark information, and the contour recognition results, so that the video capture component installed thereon can make offset adjustments in the X, Y, and Z directions, thereby assisting the video capture component in determining the image feature information of the intruder.

[0013] Wherein, the track guide unit includes a plurality of track guide components; One end of the track guide assembly is provided with a protrusion having an electrical interface, and the other end is provided with a groove having an electrical interface; When adjacent track guide components are connected together, the protrusion and the groove are assembled together, and the electrical interfaces of the two are connected.

[0014] The present invention also proposes a joint security method based on vibration sensing and visual recognition, which includes: Obtain the vibration signal of the basic fence unit and parse out the unique identification information contained therein; Acquiring visual identification information according to the unique identification information; Combining the unique identification information and the visual identification information, executing corresponding actions to determine image feature information of the intruder; The visual recognition information includes at least one of a contour recognition result of the intruder and distance information between the video lens and the intruder.

[0015] The present invention also proposes a joint security system based on vibration sensing and visual recognition, which includes the above-mentioned joint security device based on vibration sensing and visual recognition, and a lighting joint layer; The lighting combination layer includes a plurality of independent lighting components, which are used to adjust the working state according to the unique identification information to assist the visual recognition layer in determining the image feature information of the intruder; The independent lighting components are mounted on the basic fence unit and are configured to correspond one-to-one with the vibration detection units.

[0016] The above technical solution has the following advantages or beneficial effects: In the present invention, when an intruder contacts one of the basic fence units in the fence protection layer, the mechanical vibration generated will be transmitted to the vibration detection unit located on the basic fence unit. The vibration detection unit will generate an electrical signal and unique identification information that can be recognized by other units, and the two will be associated, integrated, packaged into a vibration signal, and transmitted. After obtaining the vibration signal, the visual recognition layer will parse out the electrical signal and unique identification information therein. After parsing the electrical signal, the unit in the visual recognition layer used to obtain video information around the basic fence unit will be activated to achieve the acquisition of visual recognition information. Afterwards, the visual recognition layer will perform corresponding actions based on the above-mentioned unique identification information combined with the above-mentioned visual recognition information to specifically capture and determine the image feature information of the intruder. This solves the problem that the existing security technology has poor targeting of video acquisition and the specificity of picture information, which is not conducive to the specific analysis and specific feature confirmation of the intruder. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 Schematic diagram of the structure of the combined security device based on vibration sensing and visual recognition of the present invention; Figure 2 A circuit connection block diagram of the combined security device based on vibration sensing and visual recognition of the present invention; Figure 3Schematic diagram of the execution steps of the joint security method based on vibration sensing and visual recognition of the present invention; Figure 4 Schematic diagram of the structure of a joint security device based on vibration sensing and visual recognition in one embodiment of the present invention; Figure 5 A circuit connection block diagram of a combined security device based on vibration sensing and visual recognition in one embodiment of the present invention; Figure 6 A schematic diagram of the implementation steps of the combined security device based on vibration sensing and visual recognition in one embodiment of the present invention; Figure 7 A schematic diagram of implementation steps of another embodiment of the combined security device based on vibration sensing and visual recognition of the present invention; Figure 8 This is a schematic diagram of the operation of a combined security device based on vibration sensing and visual recognition in one embodiment of the present invention; Figure 9 A circuit connection block diagram of another embodiment of the combined security device based on vibration sensing and visual recognition of the present invention; Figure 10 Schematic diagram of the partial structure of a combined security device based on vibration sensing and visual recognition in one embodiment of the present invention; Figure 11 A circuit connection block diagram of another embodiment of the combined security device based on vibration sensing and visual recognition of the present invention; Figure 12 A schematic diagram of implementation steps of another embodiment of the combined security device based on vibration sensing and visual recognition of the present invention; Figure 13 A circuit connection block diagram of another embodiment of the combined security device based on vibration sensing and visual recognition of the present invention; Figure 14 A schematic diagram of implementation steps of another embodiment of the combined security device based on vibration sensing and visual recognition of the present invention; Figure 15 A circuit connection block diagram of another embodiment of the combined security device based on vibration sensing and visual recognition of the present invention; Figure 16 This is a system structure block diagram of the joint security system based on vibration sensing and visual recognition of the present invention.

[0018] In the accompanying drawings, the components represented by the reference numerals are as follows: 100. Fence protection layer; 110. Basic fence unit; 111. First basic base assembly; 112. Second basic base assembly; 113. Basic fence assembly; 120. Track guide unit; 121. Track guide assembly; 200. Vibration detection layer; 210. Vibration detection unit; 300. Visual recognition layer; 310. Contour recognition unit; 311. First infrared array assembly; 312. Second infrared array assembly; 320. Video acquisition unit; 330. Driving mechanism assembly; 331. Three-axis motion module; 332. Displacement driving module; 333. Track matching module; 340. Video shooting assembly; 341. Focus driving module; 342. Magnification driving module; 343. Shutter driving module; 400. Lighting joint layer. DETAILED DESCRIPTION

[0019] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following is a clear and complete description of the specific embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the specific details described below are only some embodiments of the present invention, and the present invention can also be implemented in many other embodiments different from those described herein. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of the present invention.

[0020] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly attached to the other element or there may be an intermediate element. When an element is referred to as being "connected to" another element, it may be directly connected to the other element or there may be an intermediate element. The terms "vertical," "horizontal," "left," "right," and similar expressions used herein are for illustrative purposes only and do not represent the only implementation methods.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0022] See also Figure 1 、 Figure 2 The present invention proposes a joint security device based on vibration sensing and visual recognition, comprising: The fence protection layer 100 includes a plurality of basic fence units 110; The vibration detection layer 200 includes a plurality of vibration detection units 210 provided on the fence protection layer 100 and having unique identification information; The visual recognition layer 300 is provided on the fence protection layer 100; When the vibration detection unit 210 detects a vibration signal, the visual recognition layer 300 obtains the corresponding unique marker information and performs corresponding actions to determine the image feature information of the intruder.

[0023] Among them, the fence protection layer 100 is erected on the periphery of the security area and is roughly in the shape of a fence. It is mainly used to determine the boundary of the security area and plays a basic physical blocking role.

[0024] The vibration detection layer 200 includes multiple vibration detection units 210, which are distributed in sequence on the multiple basic fence units 110 included in the fence protection layer 100. The vibration detection of the basic fence unit 110 is achieved by converting mechanical vibration into specific identifiable electrical signals.

[0025] The vibration detection unit 210 described above can be understood as including a vibration detection sensor, which is a device used to sense and measure the vibration of an object. Vibration detection sensors can be divided into various types based on their operating principles, such as magnetoelectric vibration sensors, piezoelectric vibration sensors, fiber optic vibration sensors, and eddy current vibration sensors. To facilitate understanding and implementation, the following provides a brief explanation and description of the structures and operating principles of these vibration detection sensors.

[0026] A magnetoelectric vibration sensor primarily consists of a magnet, a coil, and a vibration-sensitive component, such as a spring or diaphragm. It operates based on the principle of electromagnetic induction. When the vibration-sensitive component vibrates, it cuts through the magnetic flux lines generated by the magnet, generating an alternating electromotive force in the coil. The magnitude of this electromotive force is proportional to the vibration velocity, enabling vibration detection.

[0027] Piezoelectric vibration sensors primarily consist of a sensitive element made of piezoelectric materials, such as piezoelectric ceramics or piezoelectric polymers, typically packaged with a housing and signal conditioning circuitry. The principle is that piezoelectric materials generate an electric charge when subjected to mechanical stress. When an object vibrates, the sensitive element experiences compression or tension, generating a charge signal related to the vibration amplitude. This charge signal is amplified and processed by the signal conditioning circuitry for output.

[0028] Fiber-optic vibration sensors primarily consist of an optical fiber, an interferometer, and a light detector, typically employing fiber Bragg gratings or fiber interferometry. Their principle is to exploit the interference properties of light. When vibration causes changes in the fiber's length or refractive index, the interference pattern changes. By analyzing this change in the interference pattern, the vibration amplitude and frequency can be measured.

[0029] Eddy current vibration sensors primarily consist of a coil, a high-frequency oscillator, and a signal processing circuit. They are typically used for non-contact vibration measurement. Their principle is that when a vibration-sensitive object approaches the sensor's coil, the high-frequency magnetic field generated by the coil induces eddy currents in the object. The magnitude of these eddy currents is proportional to the object's vibration amplitude, and vibration is detected by measuring these changes in eddy currents.

[0030] In addition to the aforementioned vibration detection sensor, vibration detection unit 210 also includes an information tag generator for generating unique tag information, namely the aforementioned unique tag information. Before outputting this information, vibration detection unit 210 bundles the electrical signal information generated by the vibration detection sensor and the unique tag information generated by the information tag generator into a single data packet for access and use by other units.

[0031] Based on the above-mentioned vibration detection unit 210, the above-mentioned visual recognition layer 300 arranged on the fence protection layer 100 can be configured to include a data parser for parsing the above-mentioned overall data packet and identifying the electrical signal information generated by the vibration detection sensor and the unique mark information generated by the information marker generator.

[0032] See also Figure 3 The above-mentioned joint security device based on vibration sensing and visual recognition will perform the following steps when working: Step S100: Acquire the vibration signal of the basic fence unit 110 and parse out the unique identification information contained therein; Step S200: Obtain visual identification information based on the unique identification information; Step S300: combining the unique identification information and the visual identification information, performing corresponding actions to determine the image feature information of the intruder.

[0033] For ease of understanding and explanation, the above-mentioned execution steps are further explained below in conjunction with the above-mentioned joint security device based on vibration sensing and visual recognition.

[0034] For details about the embodiments, please refer to Figure 1 、 Figure 2 and Figure 3When an intruder contacts a basic fence unit 110 in the fence protection layer 100, the mechanical vibration generated will be transmitted to the vibration detection unit 210 located on the basic fence unit 110. The vibration detection unit 210 will generate an electrical signal and unique identification information that can be recognized by other units, and the two will be associated, integrated, packaged into a vibration signal, and transmitted. After obtaining the vibration signal, the visual recognition layer 300 will parse out the electrical signal and unique identification information therein. After parsing the electrical signal, the unit in the visual recognition layer 300 used to obtain video information around the basic fence unit 110 will be activated to achieve the acquisition of visual recognition information. Afterwards, the visual recognition layer 300 will perform corresponding actions based on the above-mentioned unique identification information combined with the above-mentioned visual recognition information to specifically capture and determine the image feature information of the intruder. This solves the problem that the existing security technology has poor targeting of video acquisition and the specificity of picture information, which is not conducive to the specific analysis and specific feature confirmation of the intruder.

[0035] The visual recognition information includes at least one of the contour recognition result of the intruder and the distance information between the video lens and the intruder.

[0036] Specifically, in this embodiment, when the visual recognition layer 300 receives the vibration signal from the vibration detection unit 210 and parses the electrical signal and unique identifier information therein, the unit in the visual recognition layer 300 for acquiring video information surrounding the basic fence unit 110 is activated and begins operation, ultimately acquiring the contour recognition result of the intruder and / or the distance information between the video lens and the intruder. The visual recognition layer 300 then combines the aforementioned unique identifier information, the contour recognition result of the intruder, and / or the distance information between the video lens and the intruder to perform corresponding actions, such as driving the video lens to adjust its position, angle, magnification, etc., in order to specifically capture and determine the image feature information of the intruder.

[0037] See also Figure 1 、 Figure 2 and Figure 4 , the fence protection layer 100 further includes a track guide unit 120 mounted on a plurality of basic fence units 110, and the visual recognition layer 300 is provided in conjunction with the track guide unit 120; The basic fence unit 110 includes a first basic base component 111 and a second basic base component 112 that are adjacent to each other, and a basic fence component 113 that is disposed between the first basic base component 111 and the second basic base component 112 and connects the two. The basic fence component 113 is provided with a mounting position for mounting the vibration detection unit 210 .

[0038] For details about the embodiments, please refer to Figure 4The vibration detection unit 210 is fixedly mounted on the mounting position of the basic fence component 113. When the basic fence component 113, the first basic base component 111 or the second basic base component 112 on a basic fence unit 110 in the fence protection layer 100 vibrates, the mechanical vibration will be transmitted to the vibration detection unit 210 installed on this basic fence unit 110 to generate a main vibration signal. At the same time, the mechanical vibration may also be transmitted to the vibration detection unit 210 installed on the adjacent basic fence unit 110 to generate a secondary vibration signal.

[0039] The main vibration signal and the secondary vibration signal mentioned above both contain electrical signals generated by their respective vibration detection units 210 and unique identification information. After acquiring the main vibration signal and the secondary vibration signal, the visual recognition layer 300 will parse out the electrical signals and unique identification information therein respectively. After parsing the above two electrical signals, the visual recognition layer 300 will identify that the electrical signal intensity in the main vibration signal is greater through signal parameter comparison, thereby determining that the basic fence unit 110 where the vibration detection unit 210 that emits the main vibration signal is located is the core vibration source, eliminating the interference of the secondary vibration signal.

[0040] After eliminating interference from the secondary vibration signal, the unit used to acquire video information surrounding the primary enclosure unit 110 is activated to acquire visual recognition information. The visual recognition layer 300 then uses the unique identifier information in the primary vibration signal, combined with this visual recognition information, to drive the video camera within the visual recognition layer 300 along the track guide unit 120 mounted on the multiple primary enclosure units 110 to adjust to the appropriate position, thereby specifically capturing and identifying the image characteristics of the intruder that caused the primary vibration signal.

[0041] The core function of the unique identification information is to distinguish the basic fence unit 110 and assist the visual recognition layer 300 in locating the target (vibration source).

[0042] See also Figure 5 , the visual recognition layer 300 includes: The contour recognition unit 310 is provided on the basic fence unit 110 and is used to obtain contour information of an intruder between the adjacent first basic base component 111 and the second basic base component 112 and to generate a contour recognition result; The video acquisition unit 320 is configured in conjunction with the track guidance unit 120 to determine whether to adjust its own state and make an execution based on the unique mark information and the contour recognition result to determine the image feature information of the intruder.

[0043] Specifically in the embodiment, when the visual recognition layer 300 receives the vibration signal from the vibration detection unit 210 and parses the electrical signal and unique identifier information therein, the visual recognition layer 300 can determine that the basic fence unit 110 is vibrating based on the electrical signal.

[0044] After determining that the basic fence unit 110 is vibrating, the visual recognition layer 300 can determine which basic fence unit 110 in the fence protection layer 100 is vibrating through the unique identification information, and activate the contour recognition unit 310 matching the basic fence unit 110 to start working to obtain the contour information of the intruder between the adjacent first basic base component 111 and the second basic base component 112 in the basic fence unit 110.

[0045] Based on the contour information of the intruder between the first basic base component 111 and the second basic base component 112, the visual recognition layer 300 can determine whether the vibration of the basic fence unit 110 is caused by an active living thing (such as a human or wild animal) or by non-living things such as wind, rain, trees, and garbage.

[0046] If no intruder outline information is available between the first base assembly 111 and the second base assembly 112, the outline recognition unit 310 may determine that the vibration of the basic enclosure unit 110 is caused by natural factors such as wind and rain. If the intruder outline is constant, the outline recognition unit 310 may determine that the vibration of the basic enclosure unit 110 is caused by inanimate objects such as trees and garbage. If the intruder outline is large and dynamically changing, the outline recognition unit 310 may determine that the vibration of the basic enclosure unit 110 is caused by an active organism.

[0047] If the contour recognition unit 310 determines that the vibration of the basic fence unit 110 is caused by an active organism, the video capture unit 320 will determine whether it needs to make adjustments based on the unique identifier information in the vibration signal, the contour recognition unit 310's judgment result, and its own position. If the result is that its status requires adjustment, the video capture unit 320 will move along the track guide unit 120 configured with it, adjust to the corresponding position, and / or adjust its own shooting angle, etc., to specifically capture and determine the image characteristics of the intruder.

[0048] There are two main methods for the video acquisition unit 320 to determine whether it needs to make adjustments and perform them. Figure 6 , one of the methods includes: Step S400: obtaining unique marker information and the judgment result of the contour recognition unit 310; Step S410: judging whether the device needs to be activated based on the judgment result of the contour recognition unit 310; Step S420: If it is determined that the device needs to be activated, the device obtains its position information in the fence protection layer 100; Step S430: According to its own position information and unique identification information in the fence protection layer 100, adjust itself to the corresponding position to specifically determine the image feature information of the intruder.

[0049] See also Figure 7 , another method includes: Step S500: obtaining unique marker information and the judgment result of the contour recognition unit 310; Step S510: judging whether the device needs to be activated based on the judgment result of the contour recognition unit 310; Step S520: if it is determined that the device needs to be activated, then the device obtains its position information and shooting angle state information in the fence protection layer 100; Step S530: According to its own position information in the fence protection layer 100, shooting angle status information, and unique mark information, adjust itself to the corresponding position and adjust its own shooting angle to specifically determine the image feature information of the intruder.

[0050] Among them, in the above two methods, if the contour recognition unit 310 determines that the vibration of the basic fence unit 110 is caused by an active creature, the video acquisition unit 320 determines that it needs to be activated.

[0051] See also Figure 4 、 Figure 8 and Figure 9 , the contour recognition unit 310 includes: The first infrared array assembly 311 is distributed in an array along the length of the first base assembly 111; The second infrared array assembly 312 is arranged on the second basic base assembly 112 to match the infrared array emission assembly; The contour recognition unit 310 and the vibration detection unit 210 are configured in a one-to-one correspondence; when one of the multiple vibration detection units 210 detects a vibration signal, the contour recognition unit 310 associated with the unique mark information will start working to obtain the object contour information between the adjacent first basic base component 111 and the second basic base component 112, and make a contour recognition result.

[0052] Specifically, in this embodiment, when the basic fence assembly 113, the first basic base assembly 111, or the second basic base assembly 112 on a basic fence unit 110 in the fence protection layer 100 vibrates, the mechanical vibration is transmitted to the vibration detection unit 210 installed on the basic fence unit 110, generating a vibration signal. After receiving the vibration signal, the contour recognition unit 310 corresponding to the vibration detection unit 210, that is, associated with the unique identification information of the vibration detection unit 210, begins to operate.

[0053] When the contour recognition unit 310 begins operation, the first infrared array assembly 311 located on the first base assembly 111 and the second infrared array assembly 312 located on the second base assembly 112 simultaneously emit infrared rays in an array, forming an infrared ray matrix area between the first base assembly 111 and the second base assembly 112. When an object enters the area between the first base assembly 111 and the second base assembly 112, it enters the infrared ray matrix area, interfering with the infrared rays within the infrared ray matrix area and changing their original optical path. Therefore, simply by determining the optical path changes of the infrared rays within the outer ray matrix area, it is possible to determine whether there is an intruder and whether the intruder is a living organism. The size and outline of the intruder can also be determined.

[0054] The working and recognition principles of the infrared ray matrix formed by the first infrared array component 311 and the second infrared array component 312 are roughly as follows: 1. Emission of infrared rays Infrared light source: The infrared ray matrix is composed of multiple infrared light sources in the first infrared array assembly 311 and the second infrared array assembly 312. These light sources emit infrared light. Infrared light has a long wavelength and can penetrate environmental interference such as smoke and dust, making it suitable for object detection in complex environments.

[0055] Matrix Arrangement: To achieve high-precision object contour recognition, infrared light sources are arranged in a matrix, forming an infrared grid. Each light source is responsible for illuminating a specific area, thus covering the entire detection range.

[0056] 2. Reflection or absorption of objects Interaction of infrared rays with objects: When infrared rays hit the surface of an object, part of the rays will be reflected by the object and part of the light will be absorbed, causing a change in the light path.

[0057] The intensity of the reflected rays depends on the surface characteristics of the object, such as material, color, shape, etc. For example, a smooth surface reflects infrared light more strongly, while a rough surface reflects it less strongly.

[0058] Shadows and Blockages: When objects block infrared light, shadow areas are formed and the infrared signal strength in these areas is significantly reduced.

[0059] 3. Detection of sensor array Infrared sensor array: The infrared sensor arrays in the first infrared array assembly 311 and the second infrared array assembly 312 correspond to the infrared light sources and are arranged in a matrix. Each sensor is responsible for detecting the infrared signal strength in a specific area.

[0060] Signal acquisition: The sensor array collects infrared signals reflected or absorbed by objects in real time, generating a two-dimensional infrared signal intensity distribution map.

[0061] Signal processing: Through signal processing algorithms such as filtering and edge detection, the contour information of the object can be extracted.

[0062] 4. Identification of the outline and size of the intruder Intruder outline extraction: By analyzing the changes in the intensity of the infrared signals received by the sensor array, the edge position of the object can be determined. The sudden change in signal intensity corresponds to the outline of the object.

[0063] The accuracy of contour extraction can be further optimized by using image processing algorithms such as Canny edge detection and Hough transform.

[0064] Intruder size calculation: By measuring the area occupied by the object's outline in the matrix and combining it with the geometric arrangement of the sensor array, the object's length, width and other dimensional information can be calculated.

[0065] See also Figure 4 、 Figure 10 and Figure 11 , the video acquisition unit 320 includes: A driving mechanism assembly 330 is movably disposed on the track guide unit 120; The video shooting component 340 is mounted on the driving mechanism component 330; When the contour recognition unit 310 detects the presence of an intruder between the adjacent first base assembly 111 and the second base assembly 112, the driving mechanism assembly 330 determines the corresponding vibration detection unit 210 based on the unique identification information and moves the video capture assembly 340 along the track guide unit 120 to a preset relative position point. The video shooting component 340 adjusts the shooting state according to the contour recognition result to determine the image feature information of the intruder.

[0066] Specifically in the embodiment, based on the above technical solution, if the contour recognition unit 310 determines that the vibration of the basic fence unit 110 is caused by an active creature, the video acquisition unit 320 will determine whether it needs to make adjustments based on the unique flag information in the vibration signal and the judgment result of the contour recognition unit 310, and combined with its own position. If the judgment result is that its own state needs to be adjusted, the drive mechanism component 330 in the video acquisition unit 320 will move along the track guide unit 120 configured therewith, and carry the video capture component 340 installed thereon with it until it moves to a preset relative position point, so as to specifically capture and determine the image feature information of the intruder.

[0067] Among them, the above-mentioned preset relative position point refers to the position point at which the shooting lens of the video shooting component 340 can just accommodate the complete outline of the intruder, thereby realizing the targeted capture of the image feature information of the intruder, making the image feature information of the intruder more complete and clear.

[0068] See also Figure 12 The method for determining the preset relative position point includes: Step S600: Acquire the location information, outline information, and size information of the intruder to form intruder feature information; Step S610: obtaining lens and picture parameter information of the video shooting component 340 to form feature information of the video shooting component 340; Step S620: combining the characteristic information of the intruder and the characteristic information of the video shooting component 340 to determine the position point where the shooting lens of the video shooting component 340 can just accommodate the complete outline of the intruder.

[0069] See also Figure 13 , the video shooting component 340 includes: Focus drive module 341, used to realize the focus of the video lens on the intruder and determine the distance information between the video lens and the intruder; The magnification driving module 342 is used to adjust the video lens magnification to a lens magnification that matches the outline size of the intruder based on the distance information, the unique marker information, and the contour recognition result; The shutter driving module 343 is used to drive the video lens to complete the final imaging to determine the image feature information of the intruder.

[0070] Based on the above structure, see Figure 14 , the working method of the video shooting component 340 includes: Step S700: obtaining distance information between the video lens and the intruder; Step S710: obtaining unique marker information and contour recognition results; Step S720: Based on the distance information, the unique marker information, and the contour recognition result, the video lens magnification is adjusted to a lens magnification that matches the contour of the intruder, and the video lens is driven to perform imaging and shooting.

[0071] Specifically, when the video capture assembly 340, in coordination with the drive mechanism assembly 330, moves to a predetermined relative position, the focus drive module 341 acquires the distance between the video lens and the intruder. Next, the magnification drive module 342 acquires the unique identifier information and the contour recognition results. Combining this distance information, it adjusts the video lens magnification to match the contour of the intruder, thereby assisting the video capture assembly 340 in capturing the entire contour of the intruder. Subsequently, the shutter drive module 343 drives the video lens to complete the final image formation, thereby determining the image characteristics of the intruder.

[0072] The focus drive module 341 can realize the focusing of the video lens on the intruder and determine the distance between the video lens and the intruder. There are several implementation schemes as follows: 1. Infrared sensor focus How it works: An infrared emitter in front of the camera sends out infrared beams that hit an object and reflect back. The sensor measures the time it takes for the beam to return and calculates the object's distance from the camera.

[0073] 2. Ultrasonic sensor focus How it works: The camera emits ultrasonic pulses and measures the time it takes for the sound waves to reflect back to calculate the distance. The speed of the sound waves and the reflection time determine the distance to the object.

[0074] 3. Phase detection autofocus How it works: The sensor inside the camera splits incoming light into two parts, each passing through different areas of the lens. By comparing the phase difference between the two parts of light, it calculates the distance to the object. The lens adjusts its position based on this calculation to achieve a clear image.

[0075] 4. Contrast detection autofocus How it works: The camera continuously changes the image clarity by adjusting the lens position until it finds the position with the highest contrast. At this point, the image is clearest and the distance to the object can be determined.

[0076] 5. Laser focus How it works: The camera emits a laser beam at an object and measures the time and angle of reflection to calculate the distance. This method combines the advantages of infrared and ultrasonic waves for high accuracy.

[0077] 6. Hybrid focus system Working principle: Modern cameras often combine multiple focusing technologies, such as PDAF and CDAF, to automatically switch focus modes according to the environment and shooting requirements to achieve the best effect.

[0078] In this embodiment, the focus driving module 341 may use one of the above-mentioned focus solutions. These focus ranging solutions are commonly used technologies in the camera industry, and their specific contents will not be elaborated here one by one.

[0079] See also Figure 10 、 Figure 15 , the driving mechanism assembly 330 includes: The track matching module is assembled on the track guide unit 120; The displacement driving module 332 is connected to the track matching module and is used to drive the track matching module to move along the track guiding unit 120 according to the unique identification information; The three-axis motion module 331 is mounted on the track matching module, and a shooting interface is provided on its free end for mounting and connecting the video shooting component 340; Among them, the three-axis motion module 331 is used to make adaptive posture adjustments based on distance information, unique mark information, and contour recognition results, so that the video shooting component 340 installed thereon can make offset adjustments in the X, Y, and Z directions, thereby assisting the video shooting component 340 in determining the image feature information of the intruder.

[0080] Specifically, in this embodiment, when the contour recognition unit 310 determines that the vibration of the basic fence unit 110 is caused by an active organism, the displacement drive module 332 will determine whether its position needs to be adjusted based on the unique identifier information in the vibration signal and the judgment result of the contour recognition unit 310, combined with its own position. If the judgment result is that its position needs to be adjusted, the displacement drive module 332 will drive the track matching module to move along the track guide unit 120 with which it is configured, and carry the three-axis motion module 331 installed thereon and the video capture component 340 installed on the three-axis motion module 331 together until it moves to a predetermined relative position point.

[0081] After reaching the preset relative position point, the three-axis motion module 331 will obtain the above-mentioned distance information, unique mark information, and contour recognition results, and make adaptive posture adjustments to enable the video shooting component 340 installed thereon to make offset adjustments in the X, Y, and Z directions, thereby assisting the video shooting component 340 to try to ensure that the shooting lens can just accommodate the complete outline of the intruder, so as to determine the image feature information of the intruder.

[0082] In addition, the three-axis motion module 331 also acts as a stabilizer, which can reduce or even eliminate the shaking of the shooting lens caused by factors such as wind and rain or mechanical vibrations caused by intruders, ensure the stability of the shooting picture, and assist the video shooting component 340 in obtaining higher quality image feature information of the intruder.

[0083] Specifically, the three-axis motion module 331 may include: The three-axis component includes a roll axis for adjusting left and right tilt, a pitch axis for adjusting up and down tilt, and a yaw axis for adjusting rotation; The sensor detection component includes an inertial measurement member, an accelerometer, and a gyroscope, which is used to measure the rotational angular velocity of the device in three axes, thereby detecting rotational motion; Data acquisition component, used to collect the motion data of the device in real time, including translation and rotation information; The control processing component is used to receive the motion data from the data acquisition component and analyze the motion status of the device through algorithms; A signal generating component, used to generate corresponding control signals to drive each axis according to the analysis results; The motor drives the adjustment component, which drives the motors of each axis to adjust the position of the equipment according to the control signal; When the device is detected shaking, the motor-driven adjustment component will drive the corresponding axis to move in the opposite direction to offset the shaking and keep the device stable.

[0084] See also Figure 4 、 Figure 10 , the track guide unit 120 includes a plurality of track guide components 121; One end of the track guide assembly 121 is provided with a protrusion having an electrical interface, and the other end is provided with a groove having an electrical interface; When adjacent track guide assemblies 121 are connected together, the protruding portion and the groove portion are assembled together, and the electrical interfaces of the two are connected.

[0085] The present invention also proposes a joint security system based on vibration sensing and visual recognition, please refer to Figure 16 , which includes the above-mentioned joint security device based on vibration sensing and visual recognition, and the lighting joint layer 400; The lighting combination layer 400 includes multiple independent lighting components, which are used to adjust the working state according to the unique identification information to assist the visual recognition layer 300 in determining the image feature information of the intruder; The independent lighting components are mounted on the basic fence unit 110 and are configured to correspond one-to-one with the vibration detection units 210 .

[0086] Specifically in the embodiment, when an intruder contacts a basic fence unit 110 in the fence protection layer 100, causing mechanical vibration, and transmitting it to the vibration detection unit 210 located on the basic fence unit 110, the vibration detection unit 210 will generate a vibration signal containing a corresponding electrical signal and unique identification information, and send the vibration signal to the outside.

[0087] When the lighting integration layer 400 receives the vibration signal, it analyzes the unique identifier information and activates the independent lighting components corresponding to the unique identifier information to provide supplemental lighting, assisting the visual recognition layer 300 in obtaining clearer image characteristics of the intruder. Furthermore, the light emitted by the independent lighting components can also serve as a warning to intruders and a visual cue for security personnel.

[0088] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0089] The above-described embodiments merely represent several implementation methods of the present invention. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent. It should be noted that a person skilled in the art would be able to make various modifications, substitutions, and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the patent for this invention should be determined by the claims.

Claims

1. A joint security device based on vibration sensing and visual recognition, characterized in that: include: A fence protection layer, including a plurality of basic fence units; a vibration detection layer, comprising a plurality of vibration detection units provided on the fence protection layer and having unique identification information; A visual identification layer is provided on the fence protection layer; When the vibration detection unit detects a vibration signal, the visual recognition layer obtains the corresponding unique mark information and performs corresponding actions to determine the image feature information of the intruder.

2. The combined security device based on vibration sensing and visual recognition according to claim 1 is characterized in that: The fence protection layer further comprises a track guide unit mounted on the plurality of basic fence units, and the visual recognition layer is arranged in cooperation with the track guide unit; The basic fence unit includes a first basic base component and a second basic base component that are adjacent to each other, and a basic fence component that is arranged between the first basic base component and the second basic base component and connects the two; Wherein, the basic fence component is provided with a mounting position for mounting the vibration detection unit.

3. The combined security device based on vibration sensing and visual recognition according to claim 2 is characterized in that: The visual recognition layer includes: a contour recognition unit, provided on the basic fence unit, for obtaining contour information of an intruder between the adjacent first basic base component and the second basic base component, and generating a contour recognition result; The video acquisition unit is configured in conjunction with the track guide unit to determine whether it is necessary to adjust its own state based on the unique mark information and the contour recognition result, and to perform an action to determine the image feature information of the intruder.

4. The combined security device based on vibration sensing and visual recognition according to claim 3 is characterized in that: The contour recognition unit includes: A first infrared array assembly is arranged in an array along the length of the first base assembly; A second infrared array assembly, matched with the infrared array emission assembly, is arranged on the second basic base assembly; The contour recognition unit and the vibration detection unit are configured in a one-to-one correspondence; when one of the multiple vibration detection units detects a vibration signal, the contour recognition unit associated with the unique mark information will start working to obtain the object contour information between the adjacent first basic base component and the second basic base component, and make a contour recognition result.

5. The combined security device based on vibration sensing and visual recognition according to claim 3 is characterized in that: The video acquisition unit includes: a driving mechanism assembly, movably disposed on the track guide unit; A video shooting component is mounted on the driving mechanism component; When the contour recognition unit detects the presence of an intruder between the adjacent first base assembly and the second base assembly, the driving mechanism assembly determines the corresponding vibration detection unit according to the unique mark information, and carries the video capture assembly along the track guide unit to a preset relative position point; The video shooting component adjusts the shooting state according to the contour recognition result to determine the image feature information of the intruder.

6. The combined security device based on vibration sensing and visual recognition according to claim 5 is characterized in that: The video shooting component includes: A focus drive module is used to focus the video lens on the intruder and determine the distance between the video lens and the intruder; A magnification driving module, configured to adjust the video lens magnification to a lens magnification that matches the outline size of the intruder based on the distance information, the unique marker information, and the outline recognition result; The shutter drive module is used to drive the video lens to complete the final imaging to determine the image feature information of the intruder.

7. The combined security device based on vibration sensing and visual recognition according to claim 6 is characterized in that: The driving mechanism assembly comprises: A track matching module, assembled on the track guide unit; a displacement driving module, connected to the track matching module and configured to drive the track matching module to move along the track guiding unit according to the unique identification information; A three-axis motion module is mounted on the track matching module, and a shooting interface is provided on the free end thereof for mounting and connecting the video shooting component; Among them, the three-axis motion module is used to make adaptive posture adjustments based on the distance information, the unique mark information, and the contour recognition results, so that the video capture component installed thereon can make offset adjustments in the X, Y, and Z directions, thereby assisting the video capture component in determining the image feature information of the intruder.

8. The combined security device based on vibration sensing and visual recognition according to any one of claims 1 to 7, characterized in that: The track guide unit includes a plurality of track guide components; One end of the track guide assembly is provided with a protrusion having an electrical interface, and the other end is provided with a groove having an electrical interface; When adjacent track guide components are connected together, the protrusion and the groove are assembled together, and the electrical interfaces of the two are connected.

9. A joint security method based on vibration sensing and visual recognition, characterized in that: include: Obtain the vibration signal of the basic fence unit and parse out the unique identification information contained therein; Acquiring visual identification information according to the unique identification information; Combining the unique identification information and the visual identification information, executing corresponding actions to determine image feature information of the intruder; The visual recognition information includes at least one of a contour recognition result of the intruder and distance information between the video lens and the intruder.

10. A joint security system based on vibration sensing and visual recognition, characterized in that: It comprises a combined security device based on vibration sensing and visual recognition as described in any one of claims 1 to 8, and a lighting combination layer; The lighting combination layer includes a plurality of independent lighting components, which are used to adjust the working state according to the unique identification information to assist the visual recognition layer in determining the image feature information of the intruder; The independent lighting components are mounted on the basic fence unit and are configured to correspond one-to-one with the vibration detection units.

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