Magnetic response distribution visualization device, security inspection system, and magnetic response distribution visualization method
By sensing and calculating the magnetic field composition using a magnetic response distribution visualization device, the problem of millimeter-wave detection being unable to penetrate obstacles is solved, enabling the generation of high-precision security inspection images.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INTERGRAL GEOMETRY SCI INC
- Filing Date
- 2021-03-31
- Publication Date
- 2026-05-01
AI Technical Summary
Existing technologies for security checks at airports and other locations suffer from the problem that millimeter-wave detection has difficulty penetrating obstacles such as living organisms and metal shells, leading to inaccurate detection of the objects being detected.
A magnetic response distribution visualization device is used to sense the magnetic field components through an induction circuit, and to sense the magnetic field strength and phase at multiple time points using a sensor. Combined with an information processing circuit, the magnetic field strength and phase are calculated to generate a high-precision magnetic response distribution image.
It achieves high-precision detection of moving objects, can penetrate shielding materials to reveal the location of hidden objects, and improves the accuracy of security checks.
Smart Images

Figure CN115190977B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a magnetic response distribution visualization device, etc., for generating images representing the distribution of responses to external fields. Background Technology
[0002] Currently, millimeter waves are used for security checks in airports and other locations. In this regard, Patent Document 1 proposes a millimeter-wave three-dimensional holographic scanning imaging device that can improve scanning speed and accuracy.
[0003] Existing technical documents
[0004] Patent documents
[0005] Patent Document 1: Japanese Patent Application Publication No. 2015-36679 Summary of the Invention
[0006] The problem that the invention aims to solve
[0007] However, there are many obstacles such as living organisms and metal shells that block millimeter waves, making it difficult to properly detect the target object.
[0008] Therefore, the object of the present invention is to provide a magnetic response distribution visualization device, etc., capable of generating images representing the response distribution of a moving object to an external field with high precision for use in security inspections.
[0009] Methods used to solve problems
[0010] A magnetic response distribution visualization device according to one embodiment of the present invention comprises: a sensing circuit for sensing a magnetic field component from the outside of a moving object, the magnetic field component being a component of a magnetic field that satisfies the fundamental equation of a magnetic field; a sensor for sensing the strength and phase of the magnetic field, including the magnetic field component that varies according to the moving object, at multiple time points outside the moving object; and an information processing circuit for calculating the strength and phase of the magnetic field at a nearby location closer to the moving object than the sensor, based on the sensing results of the magnetic field strength and phase, the moving speed of the moving object, and the fundamental equation of a magnetic field, and generating a magnetic response distribution image based on the calculation results of the magnetic field strength and phase, the magnetic response distribution image being an image representing the distribution of the response of the moving object to the magnetic field component sensed by the sensing circuit, and being an image used for security checks.
[0011] In addition, these general or specific technical solutions can also be implemented by systems, devices, methods, integrated circuits, computer programs or non-transitory recording media such as computer-readable CD-ROMs, or by any combination of systems, devices, methods, integrated circuits, computer programs and recording media.
[0012] Invention Effects
[0013] According to a technical solution of the present invention, it is possible to generate images with high precision representing the response distribution of a moving object to an external field as images used in security inspections. Attached Figure Description
[0014] Figure 1 This is a conceptual diagram illustrating the magnetic response distribution visualization device in the implementation method.
[0015] Figure 2 This is a conceptual diagram showing the side of the safety door in the implementation method.
[0016] Figure 3 This is an explanatory diagram used to illustrate the reconstruction process in the implementation method.
[0017] Figure 4 This is a conceptual diagram representing the measurement surface and reconstruction surface in the implementation method.
[0018] Figure 5 This is a conceptual diagram illustrating the actions performed by the information processing circuit in the implementation method.
[0019] Figure 6 This is a conceptual diagram illustrating an example of image synthesis in an implementation method.
[0020] Figure 7 This is a conceptual diagram illustrating a modified example of the sensing circuit in the implementation method.
[0021] Figure 8 This is a conceptual diagram illustrating a first variation of the magnetic response distribution visualization device in the implementation method.
[0022] Figure 9 This is a conceptual diagram illustrating a second variation of the magnetic response distribution visualization device in the implementation method.
[0023] Figure 10 This is a conceptual diagram illustrating a third variation of the magnetic response distribution visualization device in the implementation method.
[0024] Figure 11 This is a conceptual diagram illustrating a first configuration example of the sensing circuit and magnetic sensor in the implementation method.
[0025] Figure 12 This is a conceptual diagram illustrating a second configuration example of the sensing circuit and magnetic sensor in the implementation method.
[0026] Figure 13 This is a conceptual diagram illustrating a third configuration example of the sensing circuit and magnetic sensor in the implementation method.
[0027] Figure 14This is a conceptual diagram illustrating a fourth configuration example of the sensing circuit and magnetic sensor in the implementation method.
[0028] Figure 15 This is a conceptual diagram illustrating an example of information displayed on an external terminal in an implementation scheme.
[0029] Figure 16 This is a conceptual diagram illustrating an example of a security inspection system implemented in an embodiment.
[0030] Figure 17 This is a conceptual diagram illustrating the fourth variation of the magnetic response distribution visualization device in the implementation method.
[0031] Figure 18 It is a conceptual diagram representing the image obtained in the reference example and the image obtained in the implementation.
[0032] Figure 19 This is a flowchart illustrating the operation of the magnetic response distribution visualization device in the implementation method. Detailed Implementation
[0033] Currently, security checks are conducted using millimeter waves in places like airports. This is because, from a radiation perspective, X-rays are not used, the use of lower-energy electromagnetic waves is being studied, and the transmissibility of clothing and other materials is taken into account.
[0034] Police stated that weapons such as knives are not only concealed inside clothing, but also hidden within living organisms or deep within bags. For millimeter-wave scanning, numerous obstacles, including bags, present significant challenges in weapon detection. While walk-through security screening devices are being sold, signal-to-noise ratio issues require the person being inspected to be relatively still. Furthermore, weapons cannot be detected when concealed under the armpit or inside a bag, necessitating separate X-ray inspection of the bag. Current crime prevention image screening technologies present numerous challenges.
[0035] To find the murder weapon hidden in a bag like a metal briefcase, from a physics perspective, considering transmissibility, high-energy rays or a static magnetic field of opposite polarity could be used. Furthermore, from a radiation perspective, a static magnetic field would be preferable. However, because the magnetic field generated by the murder weapon spreads through space, a clear image cannot be obtained.
[0036] Therefore, for example, a magnetic response distribution visualization device according to one embodiment of the present invention includes: a sensing circuit that senses a magnetic field component from the outside of a moving object, the magnetic field component being a component of a magnetic field that satisfies the fundamental equation of a magnetic field; a sensor that senses the strength and phase of the magnetic field, including the magnetic field component that varies according to the moving object, at multiple time points outside the moving object; and an information processing circuit that, based on the sensing results of the magnetic field strength and phase, the moving speed of the moving object, and the fundamental equation of a magnetic field, calculates the strength and phase of the magnetic field at a nearby location closer to the moving object than the sensor, and generates a magnetic response distribution image based on the calculation results of the magnetic field strength and phase, the magnetic response distribution image being an image representing the distribution of the response of the moving object to the magnetic field component sensed by the sensing circuit, and is an image used for security checks.
[0037] Therefore, the magnetic response distribution visualization device can appropriately calculate the strength and phase of the magnetic field near a moving object based on the sensor's position, the strength and phase of the magnetic field, which are relatively determined at multiple time points based on the moving speed, and the basic equations of the magnetic field. Furthermore, the magnetic response distribution visualization device can generate a high-precision magnetic response distribution image based on the calculated strength and phase of the magnetic field.
[0038] That is, the magnetic response distribution visualization device can generate images with high precision representing the distribution of the response of a moving object to an external field, which can be used as images for security inspection.
[0039] Furthermore, for example, the information processing circuit described above performs the following processing: based on the moving speed, it determines the relative position of the sensor at each of the plurality of time points relative to the moving object, i.e., the sensing position, thereby determining the plurality of sensing positions of the sensor at the plurality of time points relative to the moving object; it uses the time variation of the sensing results at the plurality of time points as the spatial variation of the sensing results at the plurality of sensing positions to calculate the strength and phase of the magnetic field at the nearby location.
[0040] Therefore, the magnetic response distribution visualization device can use the temporal changes of the sensing results as spatial changes. Consequently, the magnetic response distribution visualization device can appropriately calculate the spatial distribution and the strength and phase of the magnetic field near the moving object.
[0041] Furthermore, for example, the information processing circuit determines whether the moving object contains the detection object based on the magnetic response distribution image. If it determines that the moving object contains the detection object, it outputs information indicating the position of the detection object or the moving object to an external terminal.
[0042] Therefore, the magnetic response distribution visualization device can notify the location of a specific object being detected or the location of a moving object containing that specific object being detected.
[0043] In addition, for example, the magnetic response distribution visualization device also includes a measuring device for measuring the aforementioned moving speed.
[0044] Therefore, the magnetic response distribution visualization device can appropriately obtain the moving speed of a moving object.
[0045] Furthermore, for example, the magnetic field component sensed by the aforementioned sensing circuit is a periodically changing magnetic field component; based on the aforementioned sensing result, the aforementioned information processing circuit detects a magnetic field component with the same frequency as the periodically changing magnetic field component, and calculates the intensity and phase of the magnetic field at the aforementioned nearby location based on the detected magnetic field component, the aforementioned moving speed, and the aforementioned basic equation of the magnetic field.
[0046] Therefore, the magnetic response distribution visualization device can appropriately capture the response to the magnetic field components induced by the induction circuit. That is, the magnetic response distribution visualization device can suppress noise. Consequently, the magnetic response distribution visualization device can generate magnetic response distribution images with high precision.
[0047] Furthermore, for example, as the magnetic field component sensed by the aforementioned sensing circuit, a first magnetic field component having a first frequency and passing through the shielding material in the moving object, and a second magnetic field component having a second frequency higher than the first frequency and being shielded by the shielding material in the moving object are sensed respectively; the aforementioned information processing circuit generates a first image representing the distribution of the response of the moving object to the first magnetic field component sensed by the aforementioned sensing circuit, and a second image representing the distribution of the response of the moving object to the second magnetic field component sensed by the aforementioned sensing circuit, and combines the first image and the second image to generate the aforementioned magnetic response distribution image.
[0048] Therefore, the magnetic response distribution visualization device can generate a composite image as a magnetic response distribution image, obtained from two images of magnetic field components at two different frequencies. This composite image can display both the inside of the shield and the shield itself. That is, the composite image can appropriately show the location of the object hidden by the shield. Thus, the magnetic response distribution visualization device can generate a magnetic response distribution image that is effective for security checks.
[0049] Furthermore, for example, the aforementioned sensor may consist of multiple sensors arranged in a straight line.
[0050] Therefore, the magnetic response distribution visualization device can sense the strength and phase of the magnetic field using a one-dimensional sensor array. Furthermore, this allows for a reduction in the space required to install the sensors.
[0051] Furthermore, for example, the aforementioned sensor is composed of a plurality of sensors arranged on a first straight line and a plurality of sensors arranged on a second straight line, wherein the second straight line is a straight line parallel to the first straight line and is a straight line farther from the moving object than the first straight line.
[0052] Therefore, the magnetic response distribution visualization device can use two one-dimensional sensor arrays to sense the strength and phase of the magnetic field, and can sense the strength and phase of the magnetic field at different sensing positions at different distances from the moving object.
[0053] Furthermore, for example, the aforementioned sensing circuit is composed of multiple sensing circuits arranged in a straight line.
[0054] Therefore, the magnetic response distribution visualization device can sense magnetic field components using a one-dimensional array of induction circuits. Furthermore, this allows for a reduction in the space required to install the induction circuits.
[0055] Furthermore, for example, the aforementioned sensor consists of multiple sensors arranged on a plane.
[0056] Therefore, the magnetic response distribution visualization device can sense the strength and phase of the magnetic field using a two-dimensional sensor array. Furthermore, it can acquire two-dimensional sensing results at a single point in time. Consequently, it can combine two-dimensional sensing results acquired at multiple points in time to remove noise.
[0057] Furthermore, for example, the aforementioned sensor is composed of a plurality of sensors arranged on a first plane and a plurality of sensors arranged on a second plane, wherein the second plane is a plane parallel to the first plane and is a plane farther from the moving object than the first plane.
[0058] Therefore, the magnetic response distribution visualization device can use two two-dimensional sensor arrays to sense the strength and phase of the magnetic field, and can sense the strength and phase of the magnetic field at different sensing positions at different distances from the moving object.
[0059] Furthermore, for example, the aforementioned sensing circuit is composed of multiple sensing circuits arranged on a plane.
[0060] Therefore, the magnetic response distribution visualization device can uniformly sense magnetic field components using a two-dimensional array of induction circuits.
[0061] Furthermore, for example, the aforementioned sensing circuit and the aforementioned sensor are configured to sandwich the path of the moving object.
[0062] Therefore, the magnetic response distribution visualization device can sense the strength and phase of the magnetic field using a sensor on the opposite side of the sensing circuit for the moving object. Consequently, when sensing the strength and phase of the magnetic field using a sensor, the magnetic response distribution visualization device can suppress the influence of the magnetic field component of the moving object, which is the direct magnetic field component sensed by the sensing circuit and is independent of the ambient magnetic field.
[0063] Furthermore, for example, the aforementioned sensing circuit and the aforementioned sensor are not positioned along the path of the moving object, but are arranged on the same side relative to the path.
[0064] Therefore, the magnetic response distribution visualization device can sense the strength and phase of the magnetic field using a sensor that is on the same side as the sensing circuit for the moving object. Consequently, it is possible to reduce the configuration space of the sensing circuit and sensor.
[0065] Furthermore, for example, the aforementioned sensing circuit is composed of multiple sensing circuits disposed on a first side and a second side of the path through which the moving object moves; the aforementioned sensor is composed of multiple sensors disposed on the first side and the second side; the aforementioned information processing circuit switches between a first action and a second action, wherein the first action is an action in which one or more sensing circuits disposed on the first side sense the magnetic field component and one or more sensors disposed on the second side sense the intensity and phase of the magnetic field, and the second action is an action in which one or more sensing circuits disposed on the second side sense the magnetic field component and one or more sensors disposed on the first side sense the intensity and phase of the magnetic field.
[0066] Therefore, the magnetic response distribution visualization device can sense the strength and phase of the magnetic field on both sides in a time-division manner, and can obtain more information.
[0067] Furthermore, for example, the information processing circuit may select one of the first magnetic response distribution image generated based on the first action and the second magnetic response distribution image generated based on the second action as the magnetic response distribution image.
[0068] Therefore, the magnetic response distribution visualization device can adaptively use one of the two magnetic response distribution images corresponding to both sides.
[0069] Furthermore, for example, a security inspection system according to one embodiment of the present invention includes: the aforementioned magnetic response distribution visualization device; and a thermal imaging device for performing image diagnosis on a person corresponding to the aforementioned moving object.
[0070] Therefore, the security inspection system can generate images with high precision representing the distribution of the response of moving objects to an external field as images for security inspection, and can also perform image diagnosis of people who may be virus carriers.
[0071] Furthermore, for example, a magnetic response distribution visualization method according to one technical solution of the present invention includes the following steps: using a sensing circuit to sense a magnetic field component from the outside of a moving object, the magnetic field component being a component of a magnetic field that satisfies the fundamental equation of a magnetic field; using a sensor to sense the intensity and phase of the magnetic field, which includes the magnetic field component that varies according to the moving object, at multiple time points outside the moving object; and based on the sensing results of the intensity and phase of the magnetic field, the moving speed of the moving object, and the fundamental equation of a magnetic field, calculating the intensity and phase of the magnetic field at a nearby location closer to the moving object than the sensor; and generating a magnetic response distribution image based on the calculation results of the intensity and phase of the magnetic field, the magnetic response distribution image being an image representing the distribution of the response of the moving object to the magnetic field component sensed by the sensing circuit, and being an image used for security checks.
[0072] Therefore, based on the sensor's position, magnetic field strength, and phase, which are relatively determined at multiple time points based on the moving speed, and the fundamental equations of the magnetic field, the strength and phase of the magnetic field near the moving object can be appropriately calculated. Furthermore, the magnetic response distribution visualization device can generate a high-precision image of the magnetic response distribution based on the calculated magnetic field strength and phase.
[0073] That is, the magnetic response distribution visualization device can generate images with high precision representing the distribution of the response of a moving object to an external field as images for security inspection.
[0074] The embodiments will now be described using the accompanying drawings. Furthermore, the embodiments described below are general or specific examples. The numerical values, shapes, materials, constituent elements, the arrangement and connection of constituent elements, steps, and the order of steps shown in the following embodiments are merely examples and are not intended to limit the scope of the claims.
[0075] Furthermore, this example, as a visualization device for magnetic response distribution, primarily illustrates a visualization device for magnetic response distribution using a magnetic field. Also, the magnetic field component in this description refers to the components that constitute the magnetic field. The magnetic field component can also be individual magnetic fields superimposed on the overall magnetic field.
[0076] (Implementation Method)
[0077] Figure 1 This is a conceptual diagram illustrating the magnetic response distribution visualization device of this embodiment. Figure 1The magnetic response distribution visualization device 100 shown includes a sensing circuit 112, a magnetic sensor 113, a camera 114, an infrared sensor 115, a laser device 116, a preamplifier 121, a switch 122, an AD converter 123, an information processing circuit 124, a DA converter 125, and an amplifier 126.
[0078] The magnetic response distribution visualization device 100 may not include all of the camera 114, infrared sensor 115, and laser device 116, or it may only include one of these components. Furthermore, the magnetic response distribution visualization device 100 may also include multiple sensing circuits 112, multiple magnetic sensors 113, multiple cameras 114, multiple infrared sensors 115, and multiple laser devices 116.
[0079] exist Figure 1 In this example, multiple sensing circuits 112 and multiple magnetic sensors 113 are contained inside the safety door 111. Specifically, multiple groups are arranged in the vertical direction, each consisting of a sensing circuit 112 and two magnetic sensors 113 on either side thereof.
[0080] Furthermore, the magnetic response distribution visualization device 100 generates an image showing the magnetic response distribution of a moving object passing through the security door 111. This image can display the strength and phase of the magnetic field. In addition, the image can display magnetic materials, more specifically ferromagnetic materials, contained within the moving object. For example, the moving object is a person and their luggage. Therefore, the image generated by the magnetic response distribution visualization device 100 can reveal concealed weapons or similar items carried by the person.
[0081] Although the illustrations are omitted, camera 114, infrared sensor 115, and laser device 116 are connected to information processing circuit 124. Furthermore, all magnetic sensors 113 are connected to preamplifier 121. Additionally, all sensing circuits 112 are connected to amplifier 126.
[0082] The sensing circuit 112 is a circuit that senses magnetic field components. The sensing circuit 112 is, for example, a coil that senses magnetic field components below a few millitas. The sensing circuit 112 can be wires or wiring on a printed circuit board, etc. For example, for the sensing circuit 112, an alternating current is applied by the information processing circuit 124 via a DA converter 125 and an amplifier 126. This induces an alternating magnetic field component. Furthermore, the magnetic field component induced by the sensing circuit 112 changes according to the moving object.
[0083] The alternating current described above has a low frequency of less than 100 kHz. Therefore, the magnetic field component of this alternating current is a gently varying magnetic field. In this case, when using high-frequency alternating current, it is difficult to detect changes in the magnetic field component of objects, such as those inside highly conductive metal shells, due to the generation of eddy currents. On the other hand, when using direct current, it is difficult to remove noise. Therefore, low-frequency alternating current is used.
[0084] exist Figure 1 In the example, multiple sensing circuits 112 are arranged one-dimensionally in the vertical direction on the right and left sides of the safety door 111.
[0085] The magnetic sensor 113 is a sensor that senses magnetism. The magnetic sensor 113 can be a TMR (Tunneling Magneto Resistive) element, a GMR (Giant Magneto Resistive) element, a SQUID (Superconducting Quantum Interference Device) element, or a MI (Magneto-Impedance) element, etc.
[0086] Specifically, the magnetic sensor 113 senses magnetism in a magnetic field that includes a magnetic field component that varies depending on the moving object. For example, the magnetic sensor 113 senses magnetism with a precision of nanotesla or picosalas. Furthermore, the magnetic sensor 113 outputs a magnetic sensor signal as a sensing result. Alternatively, here, sensing can also be expressed as measurement.
[0087] exist Figure 1 In this example, multiple magnetic sensors 113 are arranged vertically on the right and left sides of the safety door 111, respectively. Furthermore, the multiple magnetic sensors 113 are arranged along a straight line closer to the inside of the safety door 111 and a straight line farther from the inside of the safety door 111 on each side.
[0088] Camera 114 is a camera device for capturing images of a subject. Specifically, camera 114 captures images of a moving object passing through security gate 111. Camera 114 may be a motion camera that measures the speed of the moving object passing through security gate 111.
[0089] Infrared sensor 115 is a sensor that senses infrared light. Infrared sensor 115 senses infrared light emitted from or reflected by a moving object passing through security door 111.
[0090] Laser device 116 is a device that emits laser light. Laser device 116 is, for example, a semiconductor laser. Specifically, laser device 116 senses a moving object by emitting laser light and receiving the laser light reflected from the moving object passing through security door 111. The distance to the moving object can be obtained based on the sensing result.
[0091] Alternatively, multiple laser devices 116 arranged at intervals can be used to sense the moving object. Furthermore, the moving speed can be obtained based on the sensing results of the multiple laser devices 116 on the moving object.
[0092] The preamplifier 121 is a circuit that amplifies small signals. This produces a signal that can be used by subsequent circuits (such as the AD converter 123 and the information processing circuit 124). For example, the preamplifier 121 amplifies the magnetic sensor signal output from the magnetic sensor 113 and outputs the amplified magnetic sensor signal. The preamplifier 121 can also be configured for multiple magnetic sensors 113.
[0093] Switch 122 is a circuit used to switch electrical paths. Specifically, switch 122 sequentially inputs magnetic sensor signals obtained from multiple magnetic sensors 113 via preamplifier 121 to AD converter 123.
[0094] The AD converter 123 is a digital-to-analog converter used to convert analog signals into digital signals. The AD converter 123 receives the magnetic sensor signal from the magnetic sensor 113 via the preamplifier 121 and the switch 122 as an analog signal, and converts this analog magnetic sensor signal into a digital signal. Furthermore, the AD converter 123 inputs the converted digital magnetic sensor signal to the information processing circuit 124.
[0095] The information processing circuit 124 is a circuit that performs information processing. The information processing circuit 124 can be a computer or a computer processor, etc.
[0096] Specifically, the information processing circuit 124 acquires the magnetic sensor signal as a magnetic sensing result. Furthermore, the information processing circuit 124 obtains the moving speed of the moving object based on information obtained from the camera 114, infrared sensor 115, laser device 116, or a combination thereof.
[0097] Furthermore, based on the magnetic sensing results, the moving speed of the moving object, and the fundamental equation satisfied by the field (specifically, the static magnetic field), namely the Laplace equation, the information processing circuit 124 calculates the strength and phase of the magnetic field near the moving object. That is, the information processing circuit 124 reconstructs the strength and phase of the magnetic field.
[0098] Furthermore, based on calculations of the magnetic field strength and phase, the information processing circuit 124 generates an image representing the magnetic response distribution of the moving object. The information processing circuit 124 can display the image on a display screen by outputting the image to it. Alternatively, the information processing circuit 124 can output the image to a printer for printing. Alternatively, the information processing circuit 124 can transmit the image as electronic data to other devices via wired or wireless communication.
[0099] Furthermore, the information processing circuit 124 applies a control signal to the DA converter 125, and then applies current to the sensing circuit 112 via the DA converter 125 and the amplifier 126. For example, the information processing circuit 124 applies alternating current to the sensing circuit 112 via the DA converter 125 and the amplifier 126.
[0100] The DA converter 125 is a digital-to-analog converter used to convert digital signals into analog signals. Specifically, the DA converter 125 takes the control signal input from the information processing circuit 124 as a digital signal and converts the digital control signal into an analog signal. Then, the DA converter 125 inputs the converted analog control signal to the amplifier 126.
[0101] Amplifier 126 applies a current corresponding to the control signal after it has been converted into an analog signal to induction circuit 112. For example, amplifier 126 applies alternating current to induction circuit 112.
[0102] For example, the magnetic field component is sensed by the sensing circuit 112 on the right side of the security door 111. Furthermore, the magnetic field component sensed by the right-side sensing circuit 112 changes depending on the moving object. In particular, the magnetic field component changes significantly depending on whether the moving object contains a magnetic material, more specifically a ferromagnetic material. The magnetism of the magnetic field, which includes the changed magnetic field component, is sensed by the magnetic sensor 113 on the left side of the security door 111.
[0103] Furthermore, the left and right actions are alternately switched by a switch or the like (not shown). That is, the actions of sensing magnetic field components from the right and sensing magnetism from the left are alternately switched, as are the actions of sensing magnetic field components from the left and sensing magnetism from the right.
[0104] Furthermore, the information processing circuit 124 uses the sensing results from the left and right sides as Neumann and Dirichlet boundary conditions respectively to calculate the strength and phase of the magnetic field near the moving object. Based on the calculation results, the information processing circuit 124 generates an image representing the magnetic response distribution of the moving object.
[0105] in addition, Figure 1This is a conceptual diagram. The number and size of the multiple sensing circuits 112, and the number and size of the multiple magnetic sensors 113, can also be compared with... Figure 1 The examples are different. A greater density of smaller, many-sized sensing circuits 112 can also be configured, as can a greater density of smaller, many-sized magnetic sensors 113. The same applies to other conceptual diagrams.
[0106] In addition, the camera 114, the infrared sensor 115, and the laser device 116 can also function as measuring devices to measure the speed of moving objects passing through the safety gate 111.
[0107] Figure 2 It means Figure 1 A conceptual diagram of the side of the safety gate 111 is shown. Multiple sensing circuits 112 and multiple magnetic sensors 113 are arranged in a direction perpendicular to the direction of travel of the moving object.
[0108] Furthermore, the multiple sensing circuits 112 arranged one-dimensionally in a direction perpendicular to the direction of travel of the moving object can perform one-dimensional scanning in the opposite direction of travel of the moving object as the moving object passes through the safety gate 111. Simultaneously, the multiple magnetic sensors 113 arranged one-dimensionally in a direction perpendicular to the direction of travel of the moving object can also perform one-dimensional scanning in the opposite direction of travel of the moving object as the moving object passes through the safety gate 111.
[0109] Therefore, the multiple magnetic sensors 113 can scan along a plane opposite to the moving object, that is, a plane parallel to the direction of travel of the moving object. Furthermore, at this time, the magnetic field component is sensed by the sensing circuit 112 located on the opposite side of the multiple magnetic sensors 113 relative to the moving object. Moreover, the multiple magnetic sensors 113 sense the magnetism of the magnetic field, which includes the magnetic field component that changes according to the moving object. Thus, the sensing result of the magnetism on the plane as described above is obtained.
[0110] Furthermore, the magnetic response distribution visualization device 100 can obtain the moving speed of the moving object. Moreover, based on the moving speed of the moving object, the magnetic response distribution visualization device 100 can determine the position of each magnetic sensor 113 relative to the moving object at multiple time points. That is, the magnetic response distribution visualization device 100 can determine information about each position from which the sensing results are obtained, and can appropriately reconstruct the strength and phase of the magnetic field based on the sensing results at the determined positions.
[0111] In addition, such as Figure 1 As shown, there are multiple magnetic sensors 113 that are relatively close to the moving object and multiple magnetic sensors 113 that are relatively far from the moving object. Thus, magnetic sensing results on two planes are obtained.
[0112] Figure 3 It is used to explain the reason. Figure 1 The diagram illustrates the reconstruction process performed by the information processing circuit 124 shown. Figure 3 The two measuring surfaces shown represent the two planes from which the magnetic sensing results were obtained. Although in Figure 3 The details are omitted, but the object is magnetized by the magnetic field component induced by the sensing circuit 112. Furthermore, the magnetic sensor 113 senses the magnetism of the magnetic field, which includes the magnetic field component induced from the magnetized object.
[0113] For example, the fundamental equations for fields in free space where there are no magnetic sources are expressed by the Laplace equations. Specifically, the z-component of the magnetic field vector in the xyz orthogonal coordinate system, i.e., H... z (x, y, z), the following equation (1) holds.
[0114] [Mathematical Expression 1]
[0115] ΔH z =O
[0116] ...(I)
[0117] The general solution of equation (1) above is expressed as shown in equation (2) below.
[0118] [Mathematical Expression 2]
[0119]
[0120] In equation (2) above, k x and k y These represent the wavenumbers in the x-direction and y-direction, respectively. Furthermore, a(k) x k y ) and b(k x k y ) is from k x and k y The function represented. For example, by measurement, the z-component of the magnetic field vector in the plane z=0, i.e., H, can be obtained. z (x, y, 0), and the gradient in the z-direction of the z-component of the magnetic field vector. (x, y, z)| z=0 Using them, we can find a(k) of equation (2) as shown in equations (3) and (4) below. x k y ) and b(k x k y ).
[0121] [Mathematical Expression 3]
[0122]
[0123] [Mathematical Expression 4]
[0124]
[0125] In equations (3) and (4) above, f(k) x k y ) is H z The two-dimensional Fourier transform image of (x, y, 0), g(k x k y )yes (x, y, z)| z=0 The two-dimensional Fourier transform image. By substituting equations (3) and (4) into equation (2), H is obtained as shown in equation (5) below. z .
[0126] [Mathematical Expression 5]
[0127]
[0128] Using the method described above, H is used as a Dirichlet boundary condition. z (x, y, 0) and the boundary conditions of the Neumann type (x, y, z)| z=0 It is possible to obtain the H coordinate of any z-coordinate in a space where there is no magnetic source. z (x, y, z). That is, it is possible to reconstruct the magnetic field of the reconstructed surface close to the object based on the magnetic field of the measured surface, which is the xy plane of z=0, and the magnetic field of the measured surface near it.
[0129] Specifically, H z (x, y, 0) is obtained as the sensing result of the measurement surface at z = 0. (x, y, z)| z=0 The calculation is based on the sensing results of two measurement surfaces. For example, the sensing results of the measurement surface where z=0 and the measurement surface where z=d are obtained. Furthermore, by dividing the difference between the sensing results of the measurement surface where z=0 and the measurement surface where z=d is by d, which is the distance between the measurement surfaces, an approximate result is obtained. (x, y, z)| z=0 .
[0130] Furthermore, by analyzing the H obtained from the sensing results z (x, y, 0) and Performing a two-dimensional Fourier transform on (x, y, z)|z=0, we obtain f(k) x k y ) and g(k x k y Next, by using f(k) obtained from the two-dimensional Fourier transform... x ky ) and g(k x k y Substituting this into equation (5), we obtain the H of any z-coordinate in a space where there is no magnetic source. z (x, y, z). Thus, the information of the magnetic field of the reconstructed surface can be obtained correctly.
[0131] Here, the measurement data corresponding to the sensing results is a two-dimensional data matrix with the z-component of the magnetic field vector as its element. However, reconstruction can also be performed on a two-dimensional data matrix with the higher-order derivative of the z-direction of the z-component of the magnetic field vector as its element.
[0132] In addition, H obtained as a sensing result z (x, y, 0) corresponds to the strength and phase of the magnetic field at the position (x, y, 0). Furthermore, the calculated H... z The strength and phase of the magnetic field corresponding to the position (x, y, z).
[0133] Figure 4 Is for Figure 1 The magnetic response distribution visualization device 100 shown indicates Figure 3 The diagram shows the conceptual representation of the measurement and reconstruction surfaces.
[0134] The magnetic response distribution visualization device 100 can generate an image representing the magnetic field of the reconstructed surface and the magnetic response distribution of the moving object based on the sensing results of the two measurement surfaces corresponding to the two columns of magnetic sensors 113 on the left. Similarly, the magnetic response distribution visualization device 100 can generate an image representing the magnetic field of the reconstructed surface and the magnetic response distribution of the moving object based on the sensing results of the two measurement surfaces corresponding to the two columns of magnetic sensors 113 on the right.
[0135] The information processing circuit 124 of the magnetic response distribution visualization device 100 can use either an image generated based on the sensing results on the left or an image generated based on the sensing results on the right.
[0136] For example, the information processing circuit 124 can determine whether a moving object is closer to the left or right side based on information obtained from the camera 114, infrared sensor 115, laser device 116, or a combination thereof. Furthermore, if the moving object is closer to the left side, an image generated based on the sensing results from the left side can be used. Conversely, if the moving object is closer to the right side, an image generated based on the sensing results from the right side can be used.
[0137] Alternatively, a high-contrast image can be used, either from the image generated based on the sensing results on the left or the image generated based on the sensing results on the right.
[0138] Furthermore, the information processing circuit 124 can determine the position of the reconstructed surface based on information obtained from the camera 114, infrared sensor 115, laser device 116, or a combination thereof. For example, the information processing circuit 124 can determine the position of the moving object based on information obtained from the camera 114, infrared sensor 115, laser device 116, or a combination thereof. Moreover, the information processing circuit 124 can determine the position of the moving object or a position close to the moving object as the position of the reconstructed surface.
[0139] Alternatively, the information processing circuit 124 can generate multiple reconstructed images corresponding to multiple reconstructed surfaces, and select the reconstructed image with high contrast from the multiple reconstructed images as the final reconstructed image.
[0140] Figure 5 It means Figure 1 The diagram shows a conceptual representation of the operation of the information processing circuit 124. The information processing circuit 124 acquires the magnetic sensor signal from the magnetic sensor 113 via a preamplifier 121, etc. Furthermore, the information processing circuit 124 performs phase detection. Specifically, first, the information processing circuit 124 multiplies the magnetic sensor signal with a reference signal. The reference signal is an AC signal representing the AC current applied to the induction circuit 112. The DC component of the multiplication result signal corresponds to a magnetic field component with the same frequency as the AC current applied to the induction circuit 112.
[0141] Furthermore, the information processing circuit 124 applies a low-pass filter to the multiplication result signal, cutting off the AC component and allowing the DC component to pass through. This yields a detection signal corresponding to the magnetic field component with the same frequency as the AC current applied to the sensing circuit 112. This detection signal can be used as a sensing result. In other words, the sensing result, processed by the preamplifier 121 and phase detection, can be used for reconstruction processing.
[0142] For example, the information processing circuit 124 performs phase detection processing on the magnetic sensor signal, which has been converted into a digital signal in the AD converter 123, as a digital signal in the digital circuit. Alternatively, the information processing circuit 124 may acquire the magnetic sensor signal as an analog signal without going through the AD converter 123. Furthermore, the information processing circuit 124 may also perform phase detection processing on the magnetic sensor signal, which has been acquired as an analog signal, as an analog signal in the analog circuit.
[0143] Furthermore, the information processing circuit 124 performs... Figure 3 The reconstruction process is as described above. From this, an image representing the strength and phase of the magnetic field at the reconstruction surface, and the distribution of the magnetic response of the moving object, is obtained as the reconstructed image.
[0144] Furthermore, the information processing circuit 124 compares the reconstructed image with the data pattern stored in the database to perform recognition processing on the reconstructed image. The comparison between the reconstructed image and the data pattern can be performed by multiplying the reconstructed image and the data pattern.
[0145] If the identification process results in the identification of a murder weapon, the information processing circuit 124 maps the coordinates of the security door 111 to map information stored in the database. For example, the information processing circuit 124 generates an image of the security door 111 on the map with a needle inserted and a risk value written into it. The information processing circuit 124 then sends the generated image to the external terminal 200.
[0146] The external terminal 200 can be a general-purpose computer device, a monitoring device, a mobile phone, a portable terminal, a smartphone, or a tablet computer, etc.
[0147] For example, police officers continuously monitor the coordinates of the security door 111 where the weapon has been identified among multiple security doors 111, and take actions to secure the dangerous individual. Furthermore, the information processing circuit 124 can infer the movement path of the dangerous individual based on the multiple security doors 111 located in various places. At this time, information such as mobile phones carried by the dangerous individual can be collected for movement path inference. And, for example, information on the optimal evacuation route can be communicated to ordinary people within a 1km radius.
[0148] The information processing circuit 124 can output information such as the coordinates of the safety door 111 where the weapon has been identified, the movement path of the dangerous person, and the optimal escape route to the external terminal 200 via wired or wireless communication. Furthermore, the information processing circuit 124 can acquire images of the dangerous person from the camera 114 and output them to the external terminal 200.
[0149] In addition, the information processing circuit 124 can obtain the movement speed of the dangerous person based on the camera 114, infrared sensor 115, laser device 116 or a combination thereof, so that the movement speed of the dangerous person is reflected in the movement path of the dangerous person.
[0150] Furthermore, the information processing circuit 124 can detect a person passing through the security door 111 based on a camera 114, an infrared sensor 115, a laser device 116, or a combination thereof. And, the information processing circuit 124 can perform the aforementioned actions upon detecting a person passing through the security door 111.
[0151] Furthermore, in the above, the safety door 111 includes a sensing circuit 112 and a magnetic sensor 113, but it can also be a bar or other device used to prevent vehicles from entering that includes a sensing circuit 112 and a magnetic sensor 113.
[0152] The magnetic response distribution visualization device 100 of this embodiment can appropriately calculate the strength and phase of the magnetic field near the moving object based on the position of the magnetic sensor 113 relative to the moving object according to the moving speed, the magnetic sensing results, and the basic equation of the field. Furthermore, the magnetic response distribution visualization device 100 can generate an image representing the magnetic response distribution with high precision based on the calculation results of the magnetic field strength and phase as an image for security inspection.
[0153] Furthermore, it is assumed that items typically held by a person have a low magnetic response, while weapons, being ferromagnetic, have a high magnetic response. For example, aluminum and copper, commonly used in electronic devices, have low magnetic responses. On the other hand, iron, used in weapons, has a high magnetic response. Therefore, images representing the distribution of magnetic responses are particularly effective for security checks.
[0154] Furthermore, for example, by increasing the frequency of the magnetic field applied from the induction circuit 112, which is a coil, and by utilizing the shielding of a metal such as aluminum, the distribution of the metal held by the perpetrator and the distribution of the magnetic field response can be separated and observed. This allows for more precise determination of the murder weapon.
[0155] Figure 6 This is a conceptual diagram illustrating an example of image synthesis in this embodiment. Figure 6 In the example, an iron gun is housed in an aluminum box. Furthermore, for instance, a low-frequency magnetic field component is first sensed by the sensing circuit 112. This low-frequency magnetic field component passes through the aluminum box; that is, it is not shielded by the aluminum box. Therefore, in the image generated for the low frequency, the iron gun housed in the aluminum box is reflected.
[0156] Furthermore, for example, a high-frequency magnetic field component is then sensed by the sensing circuit 112. This high-frequency magnetic field component induces eddy currents within the aluminum box itself and does not penetrate the aluminum box. That is, the high-frequency magnetic field component is shielded by the aluminum box. Therefore, in the image generated for the high frequency, the iron gun housed within the aluminum box is not reflected; instead, the aluminum box itself is reflected.
[0157] The information processing circuit 124 can synthesize images generated at low frequencies with images generated at high frequencies. For example, the information processing circuit 124 can synthesize the images generated at low frequencies by averaging them. Such a synthesized image can display both the iron gun housed in the aluminum box and the aluminum box itself. That is, such a synthesized image can clearly show that an iron gun is housed in the aluminum box.
[0158] Therefore, the information processing circuit 124 is able to generate a composite image that is effective for security checks.
[0159] Furthermore, the sensing circuit 112 can sense both low-frequency and high-frequency magnetic field components simultaneously, or it can sense them at different times. For the low-frequency and high-frequency magnetic field components, the magnetic sensor 113 senses the magnetism according to the timing of the sensing magnetic field components, and the information processing circuit 124 generates an image.
[0160] Figure 7 It means Figure 1 A conceptual diagram of a modified example of the sensing circuit 112 shown. Figure 1 In the example, multiple sensing circuits 112 are respectively arranged on each side of the safety door 111, while Figure 7 In the example, one sensing circuit 112 is configured on each side.
[0161] That is, the magnetic response distribution visualization device 100 can have one large sensing circuit 112 on each side of the safety door 111, or it can have multiple sensing circuits 112 on each side of the safety door 111. For example, the magnetic response distribution visualization device 100 can have one large coil as a sensing circuit 112 on each side of the safety door 111, or it can have multiple coils as multiple sensing circuits 112 on each side of the safety door 111.
[0162] Figure 8 It means Figure 1 A conceptual diagram of a first variant of the magnetic response distribution visualization device 100 shown. Figure 8 In this example, the security door 111 is constructed from only one side, that is, from only one side. For example, the murder weapon is magnetized by the magnetic field component sensed by the sensing circuit 112. Thus, the murder weapon senses a secondary magnetic field component. Furthermore, the magnetic sensor 113 on the same side as the sensing circuit 112 senses the magnetism of the magnetic field containing the secondary magnetic field component sensed by the murder weapon.
[0163] In other words, the magnetic field component sensed by the sensing circuit 112 changes due to the magnetization of the weapon, and the changed magnetic field component is sensed by the magnetic sensor 113 on the same side as the sensing circuit 112. This configuration can be called a reflective type.
[0164] Regarding the reflective type, the magnetic sensor 113 can also appropriately sense the magnetism of the magnetic field, including the magnetic field component that changes due to the magnetization of the weapon. Therefore, the magnetic response distribution visualization device 100 can appropriately generate an image representing the magnetic response distribution.
[0165] Figure 9 It means Figure 1 A conceptual diagram of a second modification of the magnetic response distribution visualization device 100 shown. Figure 9 In this example, the sensing circuit 112 and the magnetic sensor 113 are embedded in the floor. Therefore, the magnetic response distribution visualization device 100 can generate an image representing the magnetic response distribution without being noticed by a dangerous person carrying a weapon. Furthermore, Figure 9 The form of the example is also similar to Figure 8 The example is also a reflective type.
[0166] Figure 10 It means Figure 1 This is a conceptual diagram of a third variation of the magnetic response distribution visualization device 100. The magnetic sensor 113 does not sense the magnetism from a moving object passing through the inside of the security door 111, but rather from the magnetism from matter present on the outside of the security door 111. Such magnetism does not represent information about the magnetic response distribution of the moving object and constitutes noise.
[0167] exist Figure 1 In this example, multiple magnetic sensors 113 are arranged in two rows on each side of the safety gate 111. Thus, the multiple magnetic sensors 113 can sense the strength and phase of the magnetic field at two different distances from a moving object passing through the safety gate 111. Consequently, the magnetic response distribution visualization device 100 can obtain the sensing results from the two measurement surfaces and obtain the gradient of the sensing results.
[0168] Furthermore, the information processing circuit 124 of the magnetic response distribution visualization device 100 can be used with... Figure 3 The method described is used to calculate the strength and phase of the magnetic field near the moving object. Furthermore, the information processing circuit 124 is able to computationally eliminate noise caused by the magnetism of matter present outside the security door 111.
[0169] exist Figure 10 In this example, multiple magnetic sensors 113 are arranged in a single column on each side of the safety door 111. In this case, the information processing circuit 124 of the magnetic response distribution visualization device 100 can also communicate with... Figure 3 The method described is similar to the method used to calculate the strength and phase of the magnetic field near a moving object.
[0170] Specifically, in equation (2), which is expressed as the general solution of the Laplace equation, it is assumed that the magnetism originates from both the positive and negative sides of the z-direction, and includes terms that increase exponentially and decrease exponentially in the z-direction. If we assume that the magnetism originates from only one side in the z-direction, then the general solution of the Laplace equation is represented by one of the terms that increase exponentially and decrease exponentially in the z-direction. Therefore, in this case, the unknown term is reduced to one.
[0171] Therefore, it is possible to avoid using von Neumann-type boundary conditions. (x, y, z)|z=0, instead using H as a Dirichlet type boundary condition. z Solve the Laplace equation (x, y, 0). That is, even if multiple magnetic sensors 113 are arranged in a single column on each side, the information processing circuit 124 can calculate the strength and phase of the magnetic field near the moving object.
[0172] Furthermore, in this case, noise caused by the magnetism of the material present on the outside of the security door 111 is not eliminated. However, in the case where it can be considered that there is no influence from the magnetism of the material present on the outside of the security door 111, Figure 10 The example is also valid.
[0173] Figure 11 It means Figure 1 The conceptual diagram of the side of the safety door 111 shown is a conceptual diagram of a first configuration example of the sensing circuit 112 and the magnetic sensor 113. Figure 11 Examples and Figure 2 The example is the same. Multiple sensing circuits 112 and multiple magnetic sensors 113 are arranged in a direction perpendicular to the direction of travel of the moving object.
[0174] That is, on one side of the safety door 111, there are multiple groups arranged in one dimension, each containing one sensing circuit 112 and one or two magnetic sensors 113 as a group. In other words, these multiple groups constitute a one-dimensional array.
[0175] Furthermore, multiple sensing circuits 112 arranged one-dimensionally on one side of the safety door 111 and multiple magnetic sensors 113 arranged one-dimensionally on the other side of the safety door 111 scan in a manner that traps a moving object. Alternatively, as in a reflective type example, the multiple sensing circuits 112 and multiple magnetic sensors 113 may scan a moving object only on one side. Furthermore, the multiple magnetic sensors 113 sense magnetism at multiple points in time.
[0176] Furthermore, for example, the moving speed of the moving object is measured by multiple laser devices 116. The temporal change in the sensing result is replaced by a spatial change in the sensing result by offsetting the positions based on the moving speed. Thus, a two-dimensional sensing result is obtained. This two-dimensional sensing result is then used to reconstruct the boundary conditions for the process.
[0177] Figure 12 It means Figure 1 The conceptual diagram of the side of the safety door 111 shown is a conceptual diagram of a second configuration example of the sensing circuit 112 and the magnetic sensor 113.
[0178] exist Figure 12In the example, on one side of the safety door 111, multiple groups are arranged in a two-dimensional array, each containing one sensing circuit 112 and one or two magnetic sensors 113 as a group. That is, these multiple groups constitute a two-dimensional array.
[0179] Furthermore, multiple sensing circuits 112 arranged in two dimensions on one side of the safety door 111 and multiple magnetic sensors 113 arranged in two dimensions on the other side of the safety door 111 scan in a manner that traps a moving object. Alternatively, as in a reflective type example, the multiple sensing circuits 112 and multiple magnetic sensors 113 may scan a moving object only on one side. Moreover, magnetism is sensed at multiple time points, and two-dimensional sensing results are obtained at each time point.
[0180] Furthermore, for example, the moving speed of the moving object is measured by multiple laser devices 116. Based on the moving speed, the two-dimensional sensing results at multiple time points are aligned to remove noise and distortion. The merged two-dimensional sensing results are then used as boundary conditions for reconstruction processing.
[0181] Figure 13 It means Figure 1 The conceptual diagram of the side of the safety door 111 shown is a conceptual diagram of a third configuration example of the sensing circuit 112 and the magnetic sensor 113. Figure 13 Examples and Figure 11 The examples are similar, but specifically correspond to Figure 7 For example, a large sensing circuit 112 is arranged on each side. A large sensing circuit 112 is, for example, a large coil.
[0182] That is, it can replace Figure 11 The example uses multiple sensing circuits 112 arranged in a one-dimensional manner. Figure 13 A larger sensing circuit 112, like the example shown. Such a larger sensing circuit 112 can function as... Figure 11 In the example, the multiple sensing circuits 112 in the one-dimensional configuration have the same function.
[0183] In addition, a larger sensing circuit 112 can be configured on both the right and left sides of the safety door 111, or a larger sensing circuit 112 can be configured on only one side, as in the example of the reflective type.
[0184] Figure 14 It means Figure 1 The conceptual diagram of the side of the safety door 111 shown is a conceptual diagram of the fourth configuration example of the sensing circuit 112 and the magnetic sensor 113. Figure 14 Examples and Figure 12 Similar examples exist, but... Figure 14In this example, each line in the vertical direction is equipped with a sensing circuit 112. Specifically, a plurality of sensing circuits 112 that are longer in the vertical direction are arranged in the horizontal direction.
[0185] That is, it can replace Figure 12 The example uses a two-dimensional configuration of multiple sensing circuits 112, employing Figure 14 Examples include multiple sensing circuits 112 that are relatively long in the vertical direction. Such multiple sensing circuits 112 that are relatively long in the vertical direction can function as... Figure 12 The two-dimensional configuration of multiple sensing circuits 112 in the example has the same function.
[0186] exist Figure 14 In the example, a sensing circuit 112 is arranged for each line in the vertical direction, but it can also be arranged for each line in the horizontal direction. Specifically, multiple sensing circuits 112 that are longer in the horizontal direction can also be arranged in the vertical direction. Such multiple sensing circuits 112 that are longer in the horizontal direction can also function as... Figure 12 The two-dimensional configuration of multiple sensing circuits 112 in the example has the same function.
[0187] Figure 15 It means in Figure 5 A conceptual diagram illustrating an example of information displayed on an external terminal 200. Figure 15 In the example, external terminal 200 is a smartphone held by a police officer or a citizen.
[0188] For example, the information processing circuit 124 of the magnetic response distribution visualization device 100 generates an image representing the magnetic response distribution based on the sensing results obtained from the multiple magnetic sensors 113 of each of the multiple security doors 111. Furthermore, if a murder weapon is identified from the image, the information processing circuit 124 identifies the security door 111 among the multiple security doors 111 that serves as the information source of the image identifying the murder weapon, and determines its position.
[0189] The information processing circuit 124 can send the determined location of the security door 111 as the location of a dangerous person holding a weapon to the external terminal 200. The external terminal 200 can receive the information indicating the location of the dangerous person and display the location of the dangerous person.
[0190] Alternatively, the information processing circuit 124 can determine the location of the dangerous person based on the determined position of the security door 111 and the movement speed obtained from nearby laser devices 116, etc. More specifically, the information processing circuit 124 can determine the location of the dangerous person by multiplying the difference between the sensing time and the current time by the movement speed from the position offset from the security door 111. Furthermore, the information processing circuit 124 can send the determined location to the external terminal 200.
[0191] Here, the direction of movement can be identified based on rules such as one-way traffic, or it can be obtained by a camera 114, an infrared sensor 115, or a laser device 116.
[0192] Furthermore, the information processing circuit 124 can transmit information representing the movement speed obtained by the laser device 116, etc., to the external terminal 200. The external terminal 200 can receive the information and display the movement speed represented by the received information as the movement speed of the dangerous person.
[0193] The external terminal 200 can display the above information as AR (Augmented Reality) images.
[0194] Figure 16 It means to utilize Figure 1 A conceptual diagram of an example security inspection system of a magnetic response distribution visualization device 100.
[0195] For example, Figure 16 The security inspection system 900 shown includes a magnetic response distribution visualization device 100. Furthermore, the security inspection system 900 accurately measures the static magnetic field, analytically solves the inverse problem, and reconstructs an image of the magnetic field. Thus, the security inspection system 900 can non-invasively and in real-time visualize weapons such as knives or firearms hidden in bags, clothing, between clothing and living organisms, or inside living organisms.
[0196] Furthermore, the security inspection system 900 includes a gas phase chemical reagent analyzer 910 and a tube 920 to analyze gasoline or toxic gases in real time. For example, fine holes are formed on the wall surface in a one-dimensional or two-dimensional shape to draw surrounding air into multiple channels. The drawn air is then sent to the gas phase chemical reagent analyzer 910 via the tube 920.
[0197] For example, the gas phase chemical reagent analysis device 910 may consist of a gas chromatograph, a mass analysis device, an ion mobility analyzer, or a combination of two or more of these, or it may function as a gas classification detector. The gas phase chemical reagent analysis device 910 identifies the air supplied to it and performs risk analysis.
[0198] The gas phase chemical reagent analysis device 910 shares information about individuals possessing poison gas, just as it does about individuals possessing knives, firearms, or other dangerous weapons, within a communication network. The device can also report such dangerous individuals to crisis management responders such as the police, and reflect this information in evacuation route instructions for nearby residents.
[0199] in addition, Figure 16 This is a conceptual diagram. The number and size of the holes connecting to the gas phase chemical reagent analysis device 910 via tube 920 can be... Figure 16 The examples are different. It is also possible to form a larger number of smaller pores at a higher density.
[0200] Furthermore, the gas phase chemical reagent analysis apparatus 910 and tube 920 may also be included in Figure 1 The safety door 111 is shown. Furthermore, the gas phase chemical reagent analysis device 910 and tube 920 may be included on each side of the safety door 111, or only on one side, or in the floor, or in a rod.
[0201] Furthermore, the security inspection system 900 may be equipped with a thermal imaging device. Additionally, the security inspection system 900 may be equipped with a device for real-time image diagnosis of individuals who may be carriers of viruses such as coronaviruses, based on sensing results obtained from the thermal imaging device. Specifically, image diagnosis is performed on individuals passing through security gate 111.
[0202] Furthermore, the magnetic response distribution visualization device 100 can have the functionality of a device for performing such image diagnostics. Additionally, this functionality for performing image diagnostics can also be included in a thermal imaging device. Furthermore, the magnetic response distribution visualization device 100 can include a thermal imaging device. Furthermore, a thermal imaging device can be included in the camera 114 or the like.
[0203] Furthermore, for example, the information processing circuit 124 can, in the same manner as the sensing results obtained from the magnetic sensor 113 at each time point, reflect the moving speed of the moving object in the sensing results obtained from the thermal imaging device at each time point, generate an image for image diagnosis, and output it.
[0204] Figure 17 It means Figure 1 A conceptual diagram of a fourth variation of the magnetic response distribution visualization device 100 shown. Figure 17 In one example, the magnetic response distribution visualization device 100 is used for baggage inspection in airports and other similar locations. Figure 1 In the examples, the moving objects are people and their luggage, etc. Figure 17 In the example, the moving object is luggage.
[0205] For example, luggage travels along conveyor belt 118 through the interior of frame 117. Magnetic response distribution visualization device 100 generates an image representing the magnetic response distribution of the luggage. The principle used to generate the image representing the magnetic response distribution is similar to... Figure 1 The examples are the same.
[0206] In this case, the movement speed obtained by the laser device 116 can also be used. Alternatively, the laser device 116 can be replaced by... Figure 1 The moving speed is obtained by a camera 114 or an infrared sensor 115, as shown. Alternatively, a moving speed determined by the specifications of the conveyor belt 118 can be used. When using a moving speed determined by the specifications of the conveyor belt 118, the magnetic response distribution visualization device 100 may not include a laser device 116, etc.
[0207] In particular, the laser device 116 is effective when luggage is carried through by a person instead of using the conveyor belt 118, or when the speed of the conveyor belt 118 is uncertain.
[0208] Multiple sensing circuits 112 and multiple magnetic sensors 113 can be used as follows Figure 11 Such a one-dimensional configuration can also be like Figure 12 In a two-dimensional configuration, the multiple sensing circuits 112 and multiple magnetic sensors 113 are configured in one dimension. The multiple sensing circuits 112 and multiple magnetic sensors 113 scan the moving luggage relative to each other to obtain a two-dimensional sensing result. Furthermore, the two-dimensional sensing result is used as a boundary condition to calculate the strength and phase of the magnetic field at the vicinity of the luggage, and an image representing the magnetic response distribution of the luggage is generated.
[0209] In addition, multiple sensing circuits 112 and multiple magnetic sensors 113 can be as follows Figure 8 That way, it's only configured on one side. This structure also allows for the generation of an image representing the magnetic response distribution of the luggage. Furthermore, multiple magnetic sensors 113 can be configured as follows: Figure 10 That way, each side can be configured as one column.
[0210] Figure 18 This is a conceptual diagram representing the image obtained in the reference example and the image obtained in this embodiment.
[0211] For example, X-rays are used in baggage checks at airports and other locations. The images obtained from X-rays show all metal. Specifically, they show electrical devices that people typically hold, such as mobile phones, portable devices, smartphones, or tablets. Figure 18 (See the reference example). Therefore, detecting a murder weapon is not easy. Furthermore, AI (artificial intelligence) is not effective in low-contrast situations.
[0212] In the image of this embodiment, electrical appliances are not shown; instead, the murder weapon is shown. Figure 18 (Implementation method). Therefore, it is effective in preventing errors in airports, etc.
[0213] As described above, the magnetic response distribution visualization device 100 of each embodiment can appropriately calculate the strength and phase of the magnetic field near the moving object based on the moving speed of the moving object, the magnetic sensing results, and the basic equation of the field. Furthermore, the magnetic response distribution visualization device 100 can generate an image representing the magnetic response distribution with high precision based on the calculation results of the magnetic field strength and phase, as an image for security inspection.
[0214] Additionally, multiple sensing circuits 112 can be included on one side of the safety door 111 (left or right), and multiple magnetic sensors 113 can be included on the other side. Furthermore, instead of switching between left and right side actions, the system can always sense magnetic field components on one side and detect magnetism on the other. This operation can also... Figure 17 The example shown illustrates baggage inspection. Additionally, the reflexive action can be switched between the left and right sides.
[0215] Furthermore, the safety door 111 shown above can also be included in the wall. That is, multiple sensing circuits 112 and multiple magnetic sensors 113 can be included on both sides of the passage, or multiple sensing circuits 112 and multiple magnetic sensors 113 can be included only on one side of the passage.
[0216] Furthermore, while a magnetic field was used in the above description, the concept of this invention can be applied to all fields that satisfy the Laplace equation, which is the fundamental equation of a field. In particular, the concept of this invention can be applied to static or quasi-static fields. Here, a quasi-static field can be substantially static, such as an electromagnetic field below 100 kHz that can be considered as not having wave-like properties. Specifically, an electric field can be used instead of a magnetic field. Furthermore, the scope of application of the concept of this invention can be extended to temperature fields and pressure fields, etc.
[0217] Therefore, the magnetic response distribution visualization device (100) described above can also be represented as an external field response distribution visualization device (100). For example, the external field response distribution visualization device (100) generates an image representing the distribution of the response to an external field, i.e., the external field response distribution. Furthermore, the magnetic sensor (113) described above can be a sensor (113) that senses the intensity and phase of the field. Moreover, the intensity and phase of the field can be used instead of the intensity of the magnetism.
[0218] That is, the magnetic field in the above description can be simply replaced with a "field", and the magnetic response distribution can be replaced with an external field response distribution.
[0219] Figure 19 This is a flowchart illustrating the operation of the magnetic response distribution visualization device (100) of this embodiment.
[0220] For example, the sensing circuit (112) senses the magnetic field components that satisfy the basic equation of the magnetic field from the outside of the moving object, namely the magnetic field components (S101). Furthermore, the sensor (113) senses the strength and phase of the magnetic field, which includes the magnetic field components that change according to the moving object, at multiple time points outside the moving object (S102).
[0221] The information processing circuit (124) calculates the strength and phase of the magnetic field at a nearby location closer to the moving object than the sensor (113) based on the sensing results of the magnetic field strength and phase, the moving speed of the moving object, and the basic equation of the magnetic field. Furthermore, based on the calculated results of the magnetic field strength and phase, the information processing circuit (124) generates a magnetic response distribution image (S103) as an image used in security checks. This magnetic response distribution image represents the distribution of the moving object's response to the magnetic field components sensed by the sensing circuit (112).
[0222] Therefore, the magnetic response distribution visualization device (100) can appropriately calculate the strength and phase of the magnetic field near the moving object based on the sensing results of the position of the sensor (113) relative to the moving speed at multiple time points, the strength and phase of the magnetic field, and the basic equation of the magnetic field. Furthermore, the magnetic response distribution visualization device (100) can generate a magnetic response distribution image with high precision based on the calculation results of the strength and phase of the magnetic field.
[0223] That is, the magnetic response distribution visualization device (100) can generate images with high precision representing the distribution of the response of a moving object to an external field as images for security inspection.
[0224] For example, the information processing circuit (124) can determine the relative position of the sensor (113), i.e., the sensing position, relative to the moving object at various time points based on the moving speed, thereby determining multiple sensing positions of the sensor (113) at multiple time points relative to the moving object. Furthermore, the information processing circuit (124) can use the temporal changes of the sensing results at multiple time points as the spatial changes of the sensing results at multiple sensing positions to calculate the strength and phase of the magnetic field at nearby locations.
[0225] Therefore, the magnetic response distribution visualization device (100) can use the temporal changes of the sensing results as spatial changes. Consequently, the magnetic response distribution visualization device (100) can appropriately calculate the spatial distribution and can appropriately calculate the strength and phase of the magnetic field at the vicinity of the moving object.
[0226] Furthermore, for example, the information processing circuit (124) can determine whether a detection object is contained within a moving object based on the magnetic response distribution image. And, if it is determined that a detection object is contained within a moving object, the information processing circuit (124) can output information indicating the position of the detection object or the moving object to an external terminal (200). Thus, the magnetic response distribution visualization device (100) can notify the location of a specific detection object, or the location of a moving object containing a specific detection object.
[0227] Furthermore, for example, the magnetic response distribution visualization device (100) may also include a measuring device (114, 115, 116) for measuring the moving speed. Thus, the magnetic response distribution visualization device (100) can appropriately obtain the moving speed of the moving object.
[0228] Furthermore, for example, the magnetic field component sensed by the sensing circuit (112) can be a periodically varying magnetic field component. The information processing circuit (124) can detect the magnetic field component with the same frequency as the periodically varying magnetic field component based on the sensing result. Moreover, the information processing circuit (124) can calculate the strength and phase of the magnetic field at the nearby location based on the detected magnetic field component, the moving speed, and the basic equation of the magnetic field.
[0229] Therefore, the magnetic response distribution visualization device (100) can appropriately obtain the response to the magnetic field component induced by the induction circuit (112). That is, the magnetic response distribution visualization device (100) can suppress noise. Thus, the magnetic response distribution visualization device (100) can generate a magnetic response distribution image with high accuracy.
[0230] Furthermore, for example, as the magnetic field component sensed by the sensing circuit (112), a first magnetic field component and a second magnetic field component can be sensed respectively. Here, the first magnetic field component has a first frequency and is transmitted through the shielding material in the moving object. The second magnetic field component has a second frequency higher than the first frequency and is shielded by the shielding material in the moving object.
[0231] The information processing circuit (124) can generate a first image representing the response distribution of a moving object to a first magnetic field component sensed by the induction circuit (112), and a second image representing the response distribution of a moving object to a second magnetic field component sensed by the induction circuit (112). Furthermore, the information processing circuit (124) can generate a magnetic response distribution image by combining the first image and the second image.
[0232] Therefore, the magnetic response distribution visualization device (100) can generate a composite image of two images obtained for two magnetic field components of different frequencies as a magnetic response distribution image. This composite image can display both the inside of the shield and the shield itself. That is, the composite image can appropriately display the location of the object hidden by the shield. Thus, the magnetic response distribution visualization device (100) can generate a magnetic response distribution image that is effective for security checks.
[0233] Furthermore, for example, the sensor (113) can be composed of multiple sensors (113) arranged in a straight line. Thus, the magnetic response distribution visualization device (100) can sense the strength and phase of the magnetic field using a one-dimensional sensor array. Furthermore, this allows for a reduction in the installation space required for the sensors (113).
[0234] Furthermore, for example, the sensor (113) may consist of multiple sensors (113) arranged on a first straight line and multiple sensors (113) arranged on a second straight line, which is parallel to the first straight line and is farther from the moving object than the first straight line. Thus, the magnetic response distribution visualization device (100) can use two one-dimensional sensor arrays to sense the strength and phase of the magnetic field, and can sense the strength and phase of the magnetic field at sensing positions at different distances from the moving object.
[0235] Furthermore, for example, the sensing circuit (112) can be composed of multiple sensing circuits (112) arranged in a straight line. Thus, the magnetic response distribution visualization device (100) can sense magnetic field components using a one-dimensional array of sensing circuits. Furthermore, this allows for a reduction in the space required to install the sensing circuits (112).
[0236] Furthermore, for example, the sensor (113) can be composed of multiple sensors (113) arranged on a plane. Thus, the magnetic response distribution visualization device (100) can sense the strength and phase of the magnetic field using a two-dimensional sensor array. Furthermore, the magnetic response distribution visualization device (100) can acquire two-dimensional sensing results at a single point in time. Therefore, the magnetic response distribution visualization device (100) can combine two-dimensional sensing results acquired at multiple points in time to remove noise.
[0237] Furthermore, for example, the sensor (113) may consist of multiple sensors (113) arranged on a first plane and multiple sensors (113) arranged on a second plane, which is a plane parallel to the first plane and is farther from the moving object than the first plane. Thus, the magnetic response distribution visualization device (100) can sense the strength and phase of the magnetic field using two two-dimensional sensor arrays, and can sense the strength and phase of the magnetic field at sensing positions at different distances from the moving object.
[0238] Furthermore, for example, the sensing circuit (112) can be composed of multiple sensing circuits (112) arranged on a plane. Thus, the magnetic response distribution visualization device (100) can uniformly sense magnetic field components using a two-dimensional array of sensing circuits.
[0239] Furthermore, for example, the sensing circuit (112) and the sensor (113) can be configured to sandwich the path of the moving object. Thus, the magnetic response distribution visualization device (100) can sense the strength and phase of the magnetic field using the sensor (113), which is located on the opposite side of the sensing circuit (112) relative to the moving object. Therefore, when sensing the strength and phase of the magnetic field using the sensor (113), the magnetic response distribution visualization device (100) can suppress the influence of the magnetic field component, which is a direct component of the magnetic field sensed by the sensing circuit (112) and is independent of the moving object.
[0240] Furthermore, for example, the sensing circuit (112) and the sensor (113) can be positioned on the same side relative to the path of the moving object without sandwiching it. Thus, the magnetic response distribution visualization device (100) can sense the strength and phase of the magnetic field using the sensor (113), which is on the same side as the sensing circuit (112) relative to the moving object. Therefore, the configuration space required for the sensing circuit (112) and the sensor (113) can be reduced.
[0241] Furthermore, for example, the sensing circuit (112) may be composed of multiple sensing circuits (112) disposed on the first side and the second side of the path through which the moving object moves. Furthermore, the sensor (113) may be composed of multiple sensors (113) disposed on the first side and the second side.
[0242] The information processing circuit (124) can switch between the first operation and the second operation. Here, the first operation is an operation in which one or more sensing circuits (112) disposed on the first side sense the magnetic field components and one or more sensors (113) disposed on the second side sense the intensity and phase of the magnetic field. The second operation is an operation in which one or more sensing circuits (112) disposed on the second side sense the magnetic field components and one or more sensors (113) disposed on the first side sense the intensity and phase of the magnetic field.
[0243] Therefore, the magnetic response distribution visualization device (100) can sense the strength and phase of the magnetic field on both sides in a time-division manner, and can obtain more information.
[0244] Furthermore, for example, the information processing circuit (124) can select one of the first magnetic response distribution images generated based on the first action and the second magnetic response distribution image generated based on the second action as the magnetic response distribution image. Thus, the magnetic response distribution visualization device (100) can adaptively adopt one of the two magnetic response distribution images corresponding to both sides.
[0245] Furthermore, for example, the security inspection system (900) may include a magnetic response distribution visualization device (100) and a thermal imaging device for image diagnosis of people corresponding to moving objects. Thus, the security inspection system (100) can generate images representing the response distribution of moving objects to an external field with high precision as images for security inspection, and can perform image diagnosis of people who may be virus carriers.
[0246] Furthermore, for example, the phase of the magnetic field is the phase of its periodic variation. The phase of the magnetic field has been considered in the above explanation, but it can also be disregarded. That is, the phase of the magnetic field can be omitted. Furthermore, the brightness of the reconstructed image can correspond to the strength of the magnetic field. Alternatively, the strength and phase of the magnetic field can be replaced with the value of the magnetic field or information about the magnetic field, etc.
[0247] The above description illustrates the form of the magnetic response distribution visualization device based on the embodiments, but the form of the magnetic response distribution visualization device is not limited to the embodiments described above. Modifications conceived by those skilled in the art can be applied to the embodiments, and the various constituent elements of the embodiments can be arbitrarily combined.
[0248] For example, a process performed by a specific component in an implementation may be performed by other components instead of that specific component. Furthermore, the order of multiple processes may be changed, or multiple processes may be performed in parallel. Additionally, multiple variations may be combined and applied. Furthermore, the ordinal numbers such as 1 and 2 used in the description may be appropriately replaced. Furthermore, new ordinal numbers may be assigned to components, or ordinal numbers may be removed.
[0249] Furthermore, a magnetic response distribution visualization method can be executed by any device or system, including the steps performed by the constituent elements of the magnetic response distribution visualization device. For example, a computer equipped with a processor, memory, and input / output circuits can execute part or all of the magnetic response distribution visualization method. In this case, the magnetic response distribution visualization method can be executed by the computer executing a program that causes the computer to execute the magnetic response distribution visualization method.
[0250] In addition, the above-mentioned program can be recorded on a non-transitory computer-readable recording medium.
[0251] Furthermore, the components of the magnetic response distribution visualization device can be constructed from dedicated hardware, general-purpose hardware that executes the aforementioned programs, or a combination thereof. The general-purpose hardware can consist of a memory storing the program and a general-purpose processor that reads the program from the memory and executes it. Here, the memory can be a semiconductor memory or a hard disk, and the general-purpose processor can be a CPU.
[0252] Furthermore, dedicated hardware can consist of a memory and a dedicated processor. For example, the aforementioned magnetic response distribution visualization method can be executed by a dedicated processor referencing the memory used to record measurement data.
[0253] Furthermore, the components of the magnetic response distribution visualization device can be circuits. These circuits can either constitute a single circuit or be separate circuits. Moreover, these circuits can correspond to dedicated hardware or general-purpose hardware that executes the aforementioned programs.
[0254] Furthermore, the magnetic response distribution visualization device can also be an image generation device. Additionally, it can be a security screening device such as a body scanner or baggage screening device, or it can be included within a security screening device. Furthermore, the magnetic response distribution visualization device can consist of multiple devices arranged in a distributed manner. It can also be a magnetic response distribution visualization system.
[0255] Industrial availability
[0256] One aspect of the present invention is useful for a magnetic response distribution visualization device that generates images representing magnetic response distributions, and can be applied to body scanners, baggage inspection devices, and security inspection devices, etc.
[0257] Label Explanation
[0258] 100 Magnetic Response Distribution Visualization Device (External Field Response Distribution Visualization Device)
[0259] 111 Security Door
[0260] 112 Induction Circuit
[0261] 113 Magnetic sensor (sensor)
[0262] 114 cameras
[0263] 115 Infrared Sensor
[0264] 116 Laser Device
[0265] 117 Frame
[0266] 118 Conveyor Belt
[0267] 121 Preamplifier
[0268] 122 Switch
[0269] 123 AD converter
[0270] 124 Information Processing Circuit
[0271] 125 DA converter
[0272] 126 Amplifier
[0273] 200 external terminals
[0274] 900 Security Inspection System
[0275] 910 Gas-phase chemical reagent analysis apparatus
[0276] 920 tube
Claims
1. A magnetic response distribution visualization device, characterized in that, have: An induction circuit senses a magnetic field component from the outside of a moving object; this magnetic field component is a component of a magnetic field that satisfies the fundamental equation of the magnetic field. The sensor senses the strength and phase of the magnetic field, which includes the magnetic field components that vary according to the moving object, at multiple points in time outside the moving object. A measuring instrument to measure the speed of the moving object. as well as The information processing circuit calculates the strength and phase of the magnetic field at a nearby location closer to the moving object than the sensor, based on the sensing results of the magnetic field strength and phase, the moving speed of the moving object, and the basic equation of the magnetic field. Based on the calculation results of the magnetic field strength and phase, it generates a magnetic response distribution image. This magnetic response distribution image is an image representing the distribution of the moving object's response to the magnetic field components sensed by the sensing circuit, and is used for security checks.
2. The magnetic response distribution visualization device as described in claim 1, characterized in that, The above information processing circuit performs the following processing: Based on the aforementioned moving speed, the relative position of the sensor at each of the aforementioned multiple time points, i.e. the sensing position, is determined relative to the aforementioned moving object, thereby determining the multiple sensing positions of the sensor at the aforementioned multiple time points relative to the aforementioned moving object. The temporal changes of the sensing results at the aforementioned multiple time points are used as the spatial changes of the sensing results at the aforementioned multiple sensing locations to calculate the strength and phase of the magnetic field at the aforementioned nearby locations.
3. The magnetic response distribution visualization device as described in claim 1 or 2, characterized in that, Based on the magnetic response distribution image, the information processing circuit determines whether the moving object contains the detection object. If it determines that the moving object contains the detection object, it outputs information indicating the position of the detection object or the moving object to an external terminal.
4. The magnetic response distribution visualization device as described in claim 1 or 2, characterized in that, The magnetic field component sensed by the aforementioned sensing circuit is a periodically changing magnetic field component. Based on the sensing results, the information processing circuit detects the magnetic field component with the same frequency as the periodically changing magnetic field component, and calculates the strength and phase of the magnetic field at the nearby location based on the detected magnetic field component, the moving speed, and the basic equation of the magnetic field.
5. The magnetic response distribution visualization device as described in claim 4, characterized in that, As the magnetic field components sensed by the aforementioned sensing circuit, a first magnetic field component having a first frequency and passing through the shielding material in the aforementioned moving object, and a second magnetic field component having a second frequency higher than the aforementioned first frequency and being shielded by the aforementioned shielding material in the aforementioned moving object are sensed respectively. The information processing circuit generates a first image representing the distribution of the response of the moving object to the first magnetic field component sensed by the sensing circuit, and a second image representing the distribution of the response of the moving object to the second magnetic field component sensed by the sensing circuit. The first image and the second image are combined to generate the magnetic response distribution image.
6. The magnetic response distribution visualization device as described in claim 1 or 2, characterized in that, The aforementioned sensor consists of multiple sensors arranged in a straight line.
7. The magnetic response distribution visualization device as described in claim 1 or 2, characterized in that, The aforementioned sensor comprises multiple sensors arranged on a first straight line and multiple sensors arranged on a second straight line. The second straight line is a straight line parallel to the first straight line and is a straight line farther from the moving object than the first straight line.
8. The magnetic response distribution visualization device as described in claim 6, characterized in that, The aforementioned sensing circuit consists of multiple sensing circuits arranged on a straight line.
9. The magnetic response distribution visualization device as described in claim 1 or 2, characterized in that, The aforementioned sensor consists of multiple sensors arranged on a plane.
10. The magnetic response distribution visualization device as described in claim 1 or 2, characterized in that, The aforementioned sensor comprises multiple sensors arranged on a first plane and multiple sensors arranged on a second plane. The second plane is a plane parallel to the first plane and is a plane farther from the moving object than the first plane.
11. The magnetic response distribution visualization device as described in claim 9, characterized in that, The aforementioned sensing circuit consists of multiple sensing circuits arranged on a plane.
12. The magnetic response distribution visualization device as described in claim 1 or 2, characterized in that, The aforementioned sensing circuit and sensor are configured to sandwich the path of the moving object.
13. The magnetic response distribution visualization device as described in claim 1 or 2, characterized in that, The aforementioned sensing circuit and sensor are not positioned along the path of the moving object, but are arranged on the same side relative to the path.
14. The magnetic response distribution visualization device as described in claim 1 or 2, characterized in that, The aforementioned sensing circuit is composed of a plurality of sensing circuits arranged on the first and second sides of the path through which the moving object moves. The aforementioned sensor is composed of multiple sensors disposed on the first side and the second side. The aforementioned information processing circuit switches between the first action and the second action. The first action is an action in which one or more sensing circuits disposed on the first side sense the magnetic field component and one or more sensors disposed on the second side sense the intensity and phase of the magnetic field. The second action is an action in which one or more sensing circuits disposed on the second side sense the magnetic field component and one or more sensors disposed on the first side sense the intensity and phase of the magnetic field.
15. The magnetic response distribution visualization device as described in claim 14, characterized in that, The information processing circuit selects one of the first magnetic response distribution image generated based on the first action and the second magnetic response distribution image generated based on the second action as the magnetic response distribution image.
16. A security inspection system, characterized in that, have: The magnetic response distribution visualization device according to claim 1 or 2; and A thermal imaging device is used to perform image diagnosis on people corresponding to the aforementioned moving objects.
17. A method for visualizing magnetic response distribution, characterized in that, Includes the following steps: Using an induction circuit, a magnetic field component is sensed from the outside of a moving object. This magnetic field component is a component of the magnetic field that satisfies the basic equation of the magnetic field. Using a sensor, the strength and phase of the magnetic field, which includes the magnetic field components that vary according to the moving object, are sensed at multiple time points outside the moving object. The speed of the moving object is measured using a speed measuring device; and Based on the sensing results of the magnetic field strength and phase, the moving speed of the moving object, and the basic equation of the magnetic field, the strength and phase of the magnetic field at a nearby location closer to the moving object than the sensor are calculated. Based on the calculation results of the magnetic field strength and phase, a magnetic response distribution image is generated. This magnetic response distribution image is an image representing the distribution of the moving object's response to the magnetic field components sensed by the sensing circuit, and is used for security checks.
Citation Information
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