KR20190088106A - Object identification apparatus determining whether an object is animate or inanimate based on millimeter waves or tera-hertz waves and a method thereof - Google Patents

Abstract

According to an embodiment of the present invention, an object identification apparatus can determine whether an object is a living organism or non-organism on the basis of whether radio waves of a millimeter or terahertz wave band are detected from the object. Also, when the object includes protein, the radio waves of the millimeter or terahertz wave band can be generated by the vibration of the protein. Therefore, when the radio waves of the millimeter or terahertz wave band are detected from the object, the object identification apparatus of the present invention can determine the object as a living organism.

Description

FIELD OF THE INVENTION [0001] The present invention relates to an object identification apparatus and method for determining whether an object is a biological or non-biological object based on a millimeter wave or a terahertz wave. }

The present invention relates to an apparatus and a method for identifying an object based on a received radio wave.

Automotive radar systems measure the position and velocity of an object using radio waves. Automotive radar systems are a key component for autonomous driving of automobiles, and can be used to detect the surroundings of an automobile with cameras or sensors included in the vehicle. The automotive radar system only measures the position and speed of the object, and can not determine the type of object accurately.

The present invention proposes an object identification device and a method performed by the device for determining whether an object is biological or non-biological, according to whether the propagation of a millimeter wave band or a terahertz wave band is emitted from an object.

The present invention proposes an object identifying apparatus and method for quickly determining the type of a surrounding object based on whether a radio wave of a millimeter wave band or a terahertz wave band is received.

According to one embodiment, there is provided a method comprising: determining whether a propagation of a millimeter waves band or a terahertz wave band is detected from an object; and determining whether a propagation of a millimeter wave band or a terahertz wave band is detected from the object And determining whether the object is biological or non-biological, wherein the determining step comprises: determining, when a radio wave of a millimeter wave band or a terahertz wave band is detected from the object, A method for identifying an object is provided.

According to an embodiment of the present invention, there is provided an object identification method in which propagation of the millimeter wave band or the terahertz wave band is generated as a protein in an object, which is an organism, is charged by vibration.

According to an embodiment, when the object is determined to be an organism, an object identification method further comprising the step of classifying the type of the object based on a frequency, a wavelength, or an intensity of a radio wave of the millimeter wave band or the terahertz wave band / RTI >

According to one embodiment, there is provided an object identification method, further comprising the step of coupling the result of determining whether the object is a biological or non-biological object to an image obtained by capturing the object.

According to one embodiment, there is provided an object identification method, further comprising the step of modifying, based on the motional characteristics of the object, a result of determining whether the object is a biological or non-biological object.

According to one embodiment, there is provided an apparatus for detecting whether an object receives a radio wave radiated from an object and whether the object radiates a radio wave in a millimeter waves band or a terahertz wave band, Wherein the processor determines that the object is a living thing if the object emits a radio wave in a millimeter wave band or a terahertz wave band.

According to one embodiment, an object identifying device is provided in which propagation of the millimeter wave band or the terahertz wave band is generated as proteins in an object, which is a living thing, are charged by vibration.

According to one embodiment, the processor is provided with an object identification apparatus for receiving a pixel array image indicating a position at which the object is detected.

According to one embodiment, the processor is provided with an object identifying device that combines, in the received pixel array image, a result of determining whether the object is a biological or non-biological object.

According to one embodiment, the processor is provided with an object identifying device for adjusting an area in which the antenna can receive the radio wave, based on the position of the object displayed in the pixel array image.

According to one embodiment of the present invention, whether the object is biological or non-biological can be determined according to whether the propagation of the millimeter wave band or the terahertz wave band is emitted from the object.

According to an embodiment of the present invention, it is possible to quickly determine the kind of the surrounding objects based on whether or not the radio wave of the millimeter wave band or the terahertz wave band is received.

BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 is an explanatory diagram for explaining an operation of a vehicle including an object identifying device according to an embodiment of the present invention to identify an object around the object. Fig.
2 is a flowchart illustrating an operation performed by the object identification apparatus according to an embodiment of the present invention.
3 is a graph illustrating an example of a radio wave received from an object, which is an object of an object identification apparatus according to an embodiment of the present invention.
4 is an exemplary diagram for explaining an example of result data output by an object identification apparatus according to an embodiment of the present invention.

It is to be understood that the specific structural or functional descriptions of embodiments of the present invention disclosed herein are presented for the purpose of describing embodiments only in accordance with the concepts of the present invention, May be embodied in various forms and are not limited to the embodiments described herein.

Embodiments in accordance with the concepts of the present invention are capable of various modifications and may take various forms, so that the embodiments are illustrated in the drawings and described in detail herein. However, it is not intended to limit the embodiments according to the concepts of the present invention to the specific disclosure forms, but includes changes, equivalents, or alternatives falling within the spirit and scope of the present invention.

The terms first, second, or the like may be used to describe various elements, but the elements should not be limited by the terms. The terms may be named for the purpose of distinguishing one element from another, for example without departing from the scope of the right according to the concept of the present invention, the first element being referred to as the second element, Similarly, the second component may also be referred to as the first component.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between. Expressions that describe the relationship between components, for example, "between" and "immediately" or "directly adjacent to" should be interpreted as well.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, the terms " comprises ", or " having ", and the like, are used to specify one or more of the features, numbers, steps, operations, elements, But do not preclude the presence or addition of steps, operations, elements, parts, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the meaning of the context in the relevant art and, unless explicitly defined herein, are to be interpreted as ideal or overly formal Do not.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, the scope of the patent application is not limited or limited by these embodiments. Like reference symbols in the drawings denote like elements.

1 is an exemplary diagram for explaining the operation of an electronic control unit (ECU) 111 according to an embodiment for determining whether an object existing in the vicinity of the vehicle 110 is biological or non-biological.

1, the vehicle 110 is a device for transporting people or cargo. The vehicle illustrated in FIG. 1 includes not only an automobile that drives a road constructed on the ground but also an airplane Unmanned Aerial Vehicle (UAV), submarine moving in water, and unmanned underwater vehicle (UUV).

The vehicle 110 may include an ECU 111 according to one embodiment, along with various sensors and radar for detecting the environment. The ECU 111 is an apparatus for determining whether an object existing in the vicinity of the vehicle 110 is a living thing or an inanimate living thing. The ECU 111 may include an antenna for receiving ambient radio waves or may be connected to an antenna existing in the vehicle 110. [

The ECU 111 can determine whether an object existing in the vicinity is a living thing or an inanimate living thing based on the type of radio waves received in the surroundings. 1, a person 140 and a streetlight 150 are shown as objects located in the vicinity of the vehicle 110. As shown in Fig. An organism, such as human 140, includes a protein, which may include a charge or a dipole. Proteins naturally oscillate and are charged by these vibrations. As the protein is charged, the protein can generate its own propagation. In other words, even if the external radio waves are not propagated to the protein, the protein can generate its own propagation. The ECU 111, which is generated by charging the protein, can determine whether or not the object is an object containing a protein, that is, a living organism, based on whether the radio wave radiated from the object is a radio wave generated by charging the protein.

The propagation resulting from the protein may have a wavelength in the millimeter wave band or the terahertz wave band. That is, the wavelength of the radio wave generated from the protein may be 1 millimeter or more and 10 millimeters or less. Alternatively, the radio waves generated from the protein may have a frequency of 30 GHz or more and 3 THz or less. Therefore, the ECU 111 can judge whether the radio wave radiated from the object is a radio wave generated from the protein, based on the wavelength or the frequency of the radio wave radiated from the object. When the object radiates radio waves generated by charging the protein, the ECU 111 can determine the object as an object containing the protein, that is, the organism. When the object does not emit radio waves generated by charging the protein, the ECU 111 can determine the object as an object that does not contain a protein, that is, an inanimate object.

Referring to FIG. 1, a person 120 and a streetlight 130 are shown as objects located in the vicinity of the vehicle 110. Since the person 120 includes a protein, the propagation of the millimeter wave band due to the vibration of the protein can be radiated from the person 120. Abiates such as streetlight 130 do not contain proteins and therefore do not emit radio waves in the millimeter waveband. The ECU 111 can receive the millimeter wave / terahertz wave image 114 generated based on the propagation of the millimeter wave band or the terahertz wave band from the environment of the vehicle 110. [ Referring to Fig. 1, the ECU 111 can further receive the GPS image 120, the map image 113, and the camera image 115 as information related to the surrounding environment. For example, based on the camera image 115 and the millimeter wave / terahertz wave image 114, the ECU 111 may determine the object near the vehicle 110 and the millimeter wave band or terahertz wave band It is possible to identify the intensity of the radio wave of

Therefore, based on whether the propagation of the millimeter wave band or the terahertz wave band is emitted from each of the objects (the person 120 and the streetlight 130 in the case of Fig. 1) around the vehicle, Whether it is biochemical or non-biological.

Therefore, the ECU 111 can quickly determine the type of the surrounding object based on whether the radio wave of the millimeter wave band or the terahertz wave band is received. Furthermore, the ECU 111 can determine the motional characteristics of the object by tracking the movement of the object. Based on the determined motion characteristic, the ECU 111 can change the type of the previously determined object. For example, when an object classified as a creature does not move for a long time, the ECU 111 can determine the object as an inanimate object.

The ECU 111 can output the result of determining whether the object existing in the vicinity is a living thing or an inanimate living thing. For example, the ECU 111 may output a flag indicating that the object is a creature or a flag indicating that the object is an inanimate object, in the coordinates of the object included in the camera image 111 that has photographed the object. Referring to FIG. 1, the ECU 111 can output a result of classifying the person 120 as a creature and the streetlamp 130 as an abiotic. The format of the resultant data that the ECU 111 outputs will be described later.

Result data transmitted to the ECU 111 can be utilized to perform an operation for avoiding collision with the vehicle 110 and the object. Alternatively, the ECU 111 can perform an operation for avoiding collision with an object. For example, the ECU 111 can warn the driver of the collision between the object and the vehicle 110 by controlling the vehicle 110. [ When the object is a creature, in particular, if the object is a person 120, the ECU 111 can inform the person 120 of the presence of the vehicle 110. [ For example, the ECU 111 can inform the person 120 of the presence of the vehicle 110 by sounding the horn of the vehicle 110 or turning on the upward light.

Furthermore, based on whether the object is a biological object or an inanimate object, the ECU 111 can predict the motion of the object. The ECU 111 can predict the collision risk of the vehicle 110 and the object based on the predicted motion of the object. The ECU 111 can generate a control signal that changes the movement of the vehicle 110 based on the predicted collision risk. Therefore, the vehicle 110 including the ECU 111 can travel more safely in consideration of the movement depending on the type of the surrounding objects.

2 is a flowchart illustrating an operation performed by the object identification apparatus according to an embodiment of the present invention. The object identification device may be an apparatus for controlling the vehicle included in the vehicle, such as the ECU 111 in Fig.

Referring to FIG. 2, in step 210, an object identification apparatus according to an exemplary embodiment may receive a radio wave of a millimeter wave band or a terahertz wave band from the surrounding environment. Reception of radio waves in the millimeter wave band or the terahertz wave band can be performed by the antenna included in the object identification device. Alternatively, the object identification device can collect radio waves of a millimeter wave band or a terahertz wave band emitted from the surrounding environment, in particular, objects in the vicinity, using an antenna mounted on the vehicle. According to another embodiment, the object identification apparatus extracts radio waves radiated from the living body by separating the radio wave of the surrounding environment collected through the antenna, the radio wave of the millimeter wave band or the frequency of 94 GHz to the sub-terahertz, can do. When the operation of detecting the position of the object is performed before the object identifying device receives the radio wave of the millimeter wave band or the terahertz wave band, the object identifying device detects the position of the object based on the position of the detected object, It is possible to adjust an area capable of receiving the radio wave of the terahertz wave band. For example, the angle of the antenna, etc. may be adjusted corresponding to the position of the detected object.

Referring to FIG. 2, in step 220, an object identification apparatus according to an exemplary embodiment may detect whether an object located in the vicinity emits a radio wave in a millimeter wave band or a terahertz wave band. The object identification apparatus can determine that the object has emitted a radio wave in the millimeter wave band or the terahertz wave band when the intensity of the radio wave having a frequency of the separated millimeter wave band or a frequency ranging from 94 GHz to the sub-terahertz is equal to or higher than a predetermined threshold value have. The threshold may be a value corresponding to the intensity of the radio wave in the millimeter wave band or the terahertz wave band generated as the protein is charged by the vibration of the protein.

Referring to FIG. 2, if the object emits a radio wave in the millimeter wave band or the terahertz wave band, in step 230, the object identifying device identifies the object emitting the radio wave in the millimeter wave band or the terahertz wave band, Can be classified. That is, the object identifying apparatus can match the position of the object (that is, the position of the object emitting the millimeter wave) and the kind of the object (that is, the creature). Furthermore, the object identification device can determine what kind of organism an object is based on at least one of the intensity, frequency or wavelength of the radio wave in the millimeter wave band or the terahertz wave band.

If the object does not emit radio waves in the millimeter wave band or the terahertz wave band, then in step 240, the object identification device may classify the object that does not emit radio waves in the millimeter wave band or the terahertz wave band as an abiotic have. More specifically, when the intensity of a radio wave having a frequency in a separated millimeter wave band or a frequency in a range from 94 GHz to sub-THz is less than the threshold value, the object identification device determines that the object does not emit radio waves in the millimeter wave band or the terahertz wave band Can be determined to be non-living. Accordingly, the object identifying apparatus can match the position of the object (i.e., the position of the object that does not emit radio waves in the millimeter wave band or the terahertz wave band) and the kind of object (i.e., non-biological).

The object identification apparatus can output the result of matching the position of the object and the kind of the object. The output result can be processed by an ECU or the like connected to the object identification device. The ECU can avoid a collision between the vehicle and the object including the ECU based on the result of matching the position of the object and the kind of the object. Alternatively, the ECU can generate the traveling route of the vehicle including the ECU based on the result of matching the position of the object and the kind of the object. Accordingly, the object identifying device can generate the traveling path of the vehicle in consideration of an ethical implication that may be caused by a collision of the vehicle.

Alternatively, it is possible to avoid a collision between the vehicle including the object identifying device and the object, based on the result of the object identifying device matching the position of the object and the kind of the object. The object identification apparatus according to an embodiment can predict the motion of an object. The object identification apparatus can apply different motion prediction algorithms to objects classified as living creatures and objects classified as inanimate objects. The camera image of the object (for example, a traffic sign, another vehicle, etc.) located in front of the vehicle using the camera of the vehicle can be obtained. An object identification apparatus according to an embodiment may compare an image of a millimeter wave band or a terahertz wave band with an obtained camera image.

Referring to FIG. 2, in step 250, the object identification apparatus according to one embodiment can determine whether to perform a collision avoidance operation based on the motion of the predicted object. The object identification apparatus can calculate a collision probability or a collision time (T.T.C, Time To Collision) with the object based on the predicted motion of the object and the motion of the vehicle. By comparing the calculated collision probability or the collision time with a predetermined threshold, the object identifying apparatus can determine whether or not to perform the collision avoidance operation.

If it is determined to perform the anti-collision operation, in step 260, the object identification apparatus according to the embodiment can perform the anti-collision operation based on the kind of the object. The anti-collision operation may vary depending on the type of the object or the probability of collision with the object or the collision time with the object. The object identification apparatus can determine the object and the type of the collision avoidance operation according to the type of the object or the probability of collision with the object or the collision time with the object. More specifically, the object identification device uses trajectory / path planning software of the vehicle to determine the type of object (biological or non-biological) based on image information obtained from the GPS and the camera of the vehicle, So that the route of the vehicle can be changed. Therefore, the object identifying apparatus can determine which path to move in an emergency situation such as a collision accident. The object of the anti-collision operation may be determined as at least one of the driver or object of the vehicle. The type of the anti-collision operation may be determined as at least one of a warning operation using a horn or an upward light, or a running operation of changing a traveling path of the vehicle.

For example, if the probability of collision with an object is less than or equal to a warning threshold, which is a criterion for determining whether or not to perform only a warning operation, and the object is a creature, the object identification device identifies the presence of the vehicle by the horn or the upward light of the vehicle Only the operation of informing can be performed. When the collision probability with the object is below the warning threshold and the object is non-biological, the object identification device can warn the driver of the vehicle of the existence of the inanimate object.

When the probability of collision with an object is equal to or greater than the warning threshold and the object is a creature, the object identification device can change the traveling path of the vehicle while informing the creature of the existence of the vehicle. The traveling path of the vehicle can be determined in consideration of the movement of the creature. When the probability of collision with the object is equal to or greater than the warning threshold and the object is non-biological, the object identification device can change the traveling path of the vehicle while informing the driver of the vehicle of the existence of the inanimate object. Likewise, the traveling path of the vehicle can be determined in consideration of the movement of the inanimate object. When changing the traveling path of the vehicle, the motion of the predicted object can be utilized based on the kind of the object. Therefore, the object identification apparatus can change the traveling route of the vehicle to a safer route in consideration of the kind of the object.

FIG. 3 is a graph 300 showing an example of propagation of a millimeter wave band or a terahertz wave band received from an object in which an object identification apparatus according to an embodiment of the present invention is an organism. Referring to FIG. 3, the waveform of the radio wave radiated from the biological protein may be a waveform having a maximum value at about 0.9 THz. 3, the intensity of the radio waves radiated from the organism at 0.9 THz may be greater than the intensity of the radio waves emitted from the organism at 0.9 THz. Therefore, when the intensity of the radio wave radiated from the object at 0.9 THz is equal to or greater than a predetermined intensity, the object identification device can determine the object as an organism.

The object identification apparatus is characterized by including an emission profile including characteristic information of a waveform, frequency, wavelength, or intensity of a radio wave radiated from an object, based on a waveform of a radio wave in a millimeter wave band or a terahertz wave band radiated from the object You can decide. The radiation profile can be determined by the type of organism. The object identification apparatus can determine the type of organism by comparing the radiation profile of the extracted radio wave with the radiation profile determined for each type of organism. The object identification apparatus can more accurately predict the movement of the object in consideration of the kind of the creature.

4 is an exemplary diagram for explaining an example of result data output by an object identification apparatus according to an embodiment of the present invention. The object identification device can output the resultant data in the form of a pixel array image in which the object is a biological or an inanimate object.

Referring to Fig. 4, an example of a front image 410 of a vehicle obtained through a camera of a vehicle including an object identifying device is shown. It is assumed that a person 411, a ball 412, and a house 413 exist as objects existing in front of the vehicle. The front image 410 may include information (e.g., depth map or parallax information) necessary to determine the distance between the vehicle and the object.

The ECU in the vehicle or the vehicle can analyze the front image 410 to extract the object existing in the front image 410. [ Referring to FIG. 4, an object map 420 indicating the result of extracting an object existing in the forward image 410 is shown. The object map 420 may be data indicating the location of the object on the front image 410. The object map 420 may include a unique identifier assigned to the object. The object identification device can control the antenna based on the position of the object displayed in the object map 420 so that the object identification device can better receive radio waves from the object displayed in the object map 420. [

The object identification device can combine and output the resultant data that determines whether the object is an organism or an inanimate object in the object map 420. As described above, since the object map 420 is a kind of two-dimensional array data in which the data indicating the position of the object is combined with the front image 410, the object identification device combines the result data into the object map 420, It is possible to output data of a dimension array (for example, a pixel array image).

Referring to FIG. 4, output data 430 is displayed in which the object identification device displays and outputs a result of classifying an object included in the object map 420 into an animate or inanimate. The output data 430 may be generated by combining the results of classifying the objects in the object map 420. As described above, the person 411 emits radio waves in the millimeter wave band or the terahertz wave band, but the cavity 412 and the house 413 may not emit radio waves in the millimeter wave band or the terahertz wave band . Thus, the object identification device can determine whether the objects in front, i.e., the person 411, the ball 412, and the house 413, respectively, are biological or inanimate. The object identification apparatus can use flags generated for each object to indicate whether the object is a biological organism or an inanimate organism.

The output data 430 output by the object identification device can be used to predict the motion of an object existing in front of the vehicle. For example, the person 411 may react to the movement of the vehicle, but the ball 412 will move in accordance with the law of inertia until it hits the vehicle. When the person 411 moves toward the front of the vehicle, the object identifying device operates the horn or the upward light toward the person 411 or the person 411 toward the person 411 based on the risk of collision between the person 411 and the vehicle It is possible to perform the avoiding operation. When the ball 412 moves toward the front of the vehicle, the object identifying device may perform an operation (e.g., braking or steering angle) to avoid the ball 412, based on the risk of collision between the ball 412 and the vehicle. Control of the control unit). Consequently, the result of the object identification device classifying the object as biological or non-biological can be utilized to select an appropriate anti-collision operation corresponding to the classification of the object.

In summary, an object identification device according to one embodiment can determine whether an object is a bio-organism or an inanimate object based on whether a propagation of a millimeter wave band or a terahertz wave band is detected from the object. When an object contains a protein, propagation in the millimeter wave band or the terahertz wave band can be generated by the vibration of the protein. Therefore, when a radio wave of the millimeter wave band or the terahertz wave band is detected from the object, the object identifying device can determine the object as a living thing. Although only an embodiment has been described in which the object identification device is included in the vehicle and determines the kind of object existing in the vicinity of the vehicle, the object identification device can be applied not only to the vehicle but also to other places or other situations. For example, an object identification device can be used to count the number of living things in a hotel room. Since the object identification device does not acquire an optical image and uses only the radio waves in the millimeter wave band or the terahertz wave band, the object identification device can detect living things or inanimate objects in the detection area without infringing privacy.

The apparatus described above may be implemented as a hardware component, a software component, and / or a combination of hardware components and software components. For example, the apparatus and components described in the embodiments may be implemented within a computer system, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA) , A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing unit may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired or to process it collectively or collectively Device can be commanded. The software and / or data may be in the form of any type of machine, component, physical device, virtual equipment, computer storage media, or device , Or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

The method according to an embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

110: vehicle
120: ECU
130: object identification device
140: People
150: streetlight

Claims (10)

Determining whether a propagation of a millimeter waves band or a terahertz wave band is detected from an object; And
Determining whether the object is a biological or non-biological based on whether a propagation of a millimeter wave band or a terahertz wave band is detected from the object
Lt; / RTI >
Wherein the determining comprises:
And when the radio wave of the millimeter wave band or the terahertz wave band is detected from the object, the object is determined as a living thing. The method according to claim 1,
The propagation of the millimeter wave band or the terahertz wave band is carried out,
A method for identifying an object generated as a protein in an object, which is a biological object, is charged by vibration. The method according to claim 1,
If the object is determined to be an organism, classifying the kind of the object based on a frequency, a wavelength, or an intensity of a radio wave of the millimeter wave band or the terahertz wave band
The object identification method further comprising: The method according to claim 1,
Combining the result of determining whether the object is a biological or non-biological object into an image obtained by capturing the object
The object identification method further comprising: The method according to claim 1,
Modifying the result of determining whether the object is a biological or non-biological based on motional characteristics of the object,
The object identification method further comprising: An antenna for receiving radio waves radiated from the object; And
Determining whether the object is a biological or non-biological based on whether the object emits radio waves in the millimeter waves band or the terahertz wave band;
Lt; / RTI >
The processor comprising:
And judges that the object is a living thing if the object radiates a radio wave in a millimeter wave band or a terahertz wave band. The method according to claim 6,
The propagation of the millimeter wave band or the terahertz wave band is carried out,
An object identification device generated as a protein in an object, which is a living thing, is charged by vibration. The method according to claim 6,
The processor comprising:
And a pixel array image indicating a position at which the object is detected. 9. The method of claim 8,
The processor comprising:
And combining the received pixel array image with a result of determining whether the object is a biological or non-biological object. 9. The method of claim 8,
The processor comprising:
And adjusts an area in which the antenna can receive the radio wave based on the position of the object displayed in the pixel array image.

Images