Bird species identification device, bird species identification method, and program

Abstract

This technology provides a way to identify the type of object (e.g., a bird) while keeping overall costs down. [Solution] The bird species identification device comprises a detection unit, an information acquisition unit, a reaction identification unit, and a discrimination unit. The detection unit detects birds that have entered the target area. The information acquisition unit acquires information (event information) indicating events that are presumed to be perceived by the detected bird. The reaction identification unit identifies the bird's reaction to the events indicated by the event information. The discrimination unit determines the species of bird based on the identification result of the events indicated by the event information and the bird's reaction.

Description

Technical Field

[0001] The present invention relates to a bird species discrimination device, a bird species discrimination method, and a program.

Background Art

[0002] The following Patent Document 1 discloses an example of a system for accurately discriminating the type of a moving object such as a bird. The system of the following Patent Document 1 discriminates the type of a bird by a process including the following (1) and (2). (1) Determine whether the moving object imaged from an image of a specific detection target moving object is a bird. (2) Estimate the type of the bird based on the contour of the moving object determined to be a bird and the contour shape information which is the contour prepared for each type of bird.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] When discriminating the type of an object (e.g., a bird) based on an image as in the system disclosed in Patent Document 1, it is difficult to accurately discriminate the type of an object (e.g., a bird) that appears small because it is far away. Also, in order to improve the accuracy of discrimination, a high-performance (expensive) camera capable of taking high-resolution images is required. Therefore, the cost for constructing a system for accurately discriminating the type of an object may increase.

Means for Solving the Problems

[0005] The bird species discrimination device according to one aspect of the present disclosure is detection means for detecting a bird that has entered a target area, Information acquisition means for acquiring event information indicating events that are presumed to be perceived by the bird, A response identification means for identifying the bird's response to the aforementioned event, A discrimination means for determining the type of bird based on the identification result of the aforementioned event and the bird's response, It is equipped with.

[0006] Another aspect of this disclosure of bird species identification methods is: Computers It detects birds that have entered the target area, Event information indicating events that are presumed to be perceived by the aforementioned bird is obtained. Identify the bird's response to the aforementioned event, The type of bird is determined based on the identification result of the aforementioned event and the bird's response. This includes the following.

[0007] In yet another aspect of this disclosure, the program is By being executed by a computer, the computer will Detects birds that have entered the target area. Event information indicating events that are presumed to be perceived by the aforementioned bird is obtained. Identify the bird's response to the aforementioned event, The type of bird is determined based on the identification result of the aforementioned event and the bird's response. To perform an action that includes that action. [Effects of the Invention]

[0008] According to one example of this disclosure, a technology is provided for identifying the type of object (e.g., a bird) while keeping overall costs down. [Brief explanation of the drawing]

[0009] [Figure 1] This figure shows a first example of the functional configuration of the bird species identification device described herein. [Figure 2] This figure shows an example of the computer hardware configuration for realizing the bird species identification device described in this disclosure. [Figure 3] A flowchart showing a first example of the process executed by the bird species discrimination device in the present disclosure. [Figure 4] A diagram showing an example of a database that stores information indicating combinations of events and reactions in association with information indicating the discrimination result of the bird species. [Figure 5] A diagram showing a first example of the configuration of a bird species discrimination device equipped with a control function. [Figure 6] A flowchart showing a first example of the process executed by the bird species discrimination device equipped with a control function. [Figure 7] A diagram showing an example of a database that stores various repellent sounds. [Figure 8] A diagram showing a second example of the configuration of a bird species discrimination device equipped with a control function. [Figure 9] A flowchart showing a second example of the process executed by the bird species discrimination device equipped with a control function.

Embodiments for Carrying Out the Invention

[0010] Hereinafter, embodiments according to the present disclosure will be described with reference to the drawings. In the present disclosure, the drawings are associated with one or more embodiments. Also, in all the drawings, the same components are denoted by the same reference numerals, and the description thereof will be omitted as appropriate. Further, unless otherwise specified, in each block diagram, each block represents a configuration in terms of functional units, not hardware units. Also, when elements such as blocks in the figure are linked by arrows, the direction of the arrows is merely for facilitating the understanding of the information flow. In this case, unless otherwise specified, the direction of the arrows does not limit the communication direction (one-way communication / two-way communication).

[0011] In the following description, "acquisition" includes at least one of the following: the device itself going to retrieve data or information stored in other devices or storage media (active acquisition), and the device itself receiving data or information output from other devices (passive acquisition). Examples of active acquisition include sending a request or inquiry to another device and receiving a reply, and accessing and reading data from other devices or storage media. Examples of passive acquisition include receiving information delivered (or transmitted, push-notified, etc.). Further, "acquisition" may mean selecting and acquiring from the received data or information, or selecting and receiving the delivered data or information.

[0012] ·First Embodiment <Functional Configuration> FIG. 1 is a diagram showing a first example of the functional configuration of a bird species discrimination device according to the present disclosure. The bird species discrimination device 10 illustrated in this figure includes a detection unit 110, an information acquisition unit 120, a reaction discrimination unit 130, and a discrimination unit 140.

[0013] The detection unit 110 detects a bird that has entered a predetermined target area. For example, the detection unit 110 can detect that a bird has entered the target area based on the outputs of various sensors provided for the target area.

[0014] The information acquisition unit 120 acquires information indicating an event (hereinafter also referred to as "event information") that is estimated to be perceived by the bird that has entered the target area. The "event" in the present disclosure includes any event recognized by hearing or vision. Examples of auditory events include sounds artificially emitted toward the bird that has entered the target area and environmental sounds generated around the bird. Examples of visual events include lightning that has occurred near the target area, artificial light irradiated toward the bird using a lighting device, etc., or any object visible around the bird (such as a person, an animal that is a natural enemy, an artificial object such as an automobile like an airplane). These are merely examples, and the "event" in the present disclosure is not limited to these examples.

[0015] The reaction identification unit 130 identifies the reaction shown by a bird that has entered the target area in response to an event indicated by the acquired event information. For example, the reaction identification unit 130 can identify the reaction shown by a bird using video footage (video footage of the bird that has entered the target area) obtained from a camera that images the target area.

[0016] The discrimination unit 140 identifies the species of bird based on the identification result of the event indicated by the acquired event information and the bird's response to that event. A detailed example of the bird species identification operation by the discrimination unit 140 will be described later.

[0017] <Example Hardware Configuration> Figure 2 shows an example of the computer hardware configuration for realizing the bird species identification device described in this disclosure.

[0018] The computer 1000 illustrated in this figure has a bus 1010, a processor 1020, memory 1030, a storage device 1040, an input / output interface 1050, and a network interface 1060.

[0019] Bus 1010 is a data transmission path for the processor 1020, memory 1030, storage device 1040, input / output interface 1050, and network interface 1060 to send and receive data to and from each other. However, the method of connecting the processor 1020 and the other components to each other is not limited to bus connection.

[0020] Processor 1020 includes the Central Processing Unit (CPU) and the Graphics Processing Unit (GPU), among others.

[0021] Memory 1030 is a type of main memory implemented using Random Access Memory (RAM), etc.

[0022] The storage device 1040 is an auxiliary storage device implemented as a Hard Disk Drive (HDD), Solid State Drive (SSD), memory card, or Read Only Memory (ROM). The storage device 1040 stores at least a program module that implements the functions of the bird species identification device 10 described above (detection unit 110, information acquisition unit 120, reaction identification unit 130, and discrimination unit 140).

[0023] The processor 1020 realizes the function corresponding to a program module by loading the program module read from the storage device 1040 onto the memory 1030 and executing it. For example, the processor 1020 realizes the function of the detection unit 110 as described in this disclosure by reading the program module corresponding to the detection unit 110 onto the memory 1030 and executing it. Similarly, the processor 1020 realizes the function of the information acquisition unit 120 as described in this disclosure by reading the program module corresponding to the information acquisition unit 120 onto the memory 1030 and executing it. Similarly, the processor 1020 realizes the function of the reaction identification unit 130 as described in this disclosure by reading the program module corresponding to the reaction identification unit 130 onto the memory 1030 and executing it. Similarly, the processor 1020 realizes the function of the discrimination unit 140 as described in this disclosure by reading the program module corresponding to the discrimination unit 140 onto the memory 1030 and executing it. This operation of the processor 1020 is common to each embodiment included in this disclosure.

[0024] The program module described above may be recorded on a recording medium other than the storage device 1040. The recording medium for recording the program module includes any medium usable by a non-temporary, tangible computer 1000. The recording medium for recording the program module may have program code embedded in it that can be read by the computer 1000 (processor 1020).

[0025] The input / output interface 1050 is an interface for connecting the computer 1000 (bird species identification device 10) to various devices. The term "various devices" here is not particularly limited, but includes, for example, input devices such as operation buttons, keyboards, touch panels and mice, and output devices such as displays.

[0026] The network interface 1060 is an interface for connecting the computer 1000 (bird species identification device 10) to a network. This network includes, for example, a Local Area Network (LAN) or a Wide Area Network (WAN). The network interface 1060 supports various wireless or wired communication standards. The computer 1000 (bird species identification device 10) establishes communication with other devices (not shown) on the network via the network interface 1060. For example, the computer 1000 (bird species identification device 10) is connected via the network interface 1060 to various sensors provided to generate information indicating the conditions of a target area. In this disclosure, "sensor" refers to any sensor that converts observable physical quantities into electrical signals, and is not particularly limited, but includes image sensors (cameras), infrared sensors, microphones, etc. The computer 1000 (bird species identification device 10) may also be connected via the network interface 1060 to a sound source (speaker, etc.) that includes a mechanism for generating and emitting sound based on input signals.

[0027] Furthermore, the computer 1000 (bird species identification device 10) may be connected to the aforementioned "various devices" via the network interface 1060.

[0028] <Example of bird species identification device operation> The operation of the bird species identification device described in this disclosure will be explained below with reference to a diagram. Figure 3 is a flowchart showing a first example of the processing performed by the bird species identification device described in this disclosure.

[0029] First, the detection unit 110 monitors whether or not it has been detected that a bird has entered a predetermined target area (step S102). The detection unit 110 can detect that "a bird has entered a predetermined target area" based on the output of various sensors that sense the predetermined target area, for example. For example, the detection unit 110 can detect the intrusion of a bird into the target area using a machine learning model trained to determine whether or not birds are present, taking the output obtained from various sensors (video data, heat source data, sound data, etc.) as input. Alternatively, the detection unit 110 may be configured to detect the intrusion of a bird into the target area by pattern matching based on image features that can be extracted from camera video data.

[0030] If no bird intrusion is detected during the monitoring process in step S102 (step S102: not detected), the detection unit 110 continues monitoring the target area. On the other hand, if bird intrusion is detected during the monitoring process in step S102 (step S102: detected), the detection unit 110 sends a notification to the information acquisition unit 120 indicating that bird intrusion has been detected.

[0031] In response to a notification indicating that a bird has entered the area, the information acquisition unit 120 acquires event information indicating events that the bird is presumed to be perceiving (step S104). As will be described in detail later, the information acquisition unit 120 acquires information such as sounds, lights, and surrounding objects (other animals or man-made objects) observed in the target area as event information.

[0032] The reaction identification unit 130 identifies the reaction shown by a bird detected in the target area to an event indicated by the event information acquired by the information acquisition unit 120 (step S106). The reaction identification unit 130 identifies the reaction shown by a bird to a certain event (for example, flying away, raising its head, no reaction, etc.) by analyzing the video output from a camera (not shown) that photographs the target area.

[0033] The discrimination unit 140 determines the type of bird that has entered the target area based on the event information obtained by the information acquisition unit 120 and the reaction identification result by the reaction identification unit 130 (step S108). Here, although not limited to birds, species specificity is observed in reactions to various events (emission of sound or light, presence of specific objects (animals / artificial objects)). The discrimination unit 140 uses this species specificity to determine the type of bird detected.

[0034] For example, the discrimination unit 140 is configured to refer to a database as illustrated in Figure 4 to determine the type of bird corresponding to the combination of event and reaction identification result indicated by the event information acquired in the previous process. Figure 4 is a diagram showing an example of a database that stores information indicating the combination of event and reaction and information indicating the identification result of the type of bird in association. For example, suppose the event indicated by the event information acquired by the information acquisition unit 120 is "sound S1", and the reaction identification result by the reaction identification unit 130 is "reaction b". In this case, the discrimination unit 140 refers to the database illustrated in Figure 4 to determine that the type of bird that entered the target area is "bird Y".

[0035] Thus, according to the bird species identification device in this disclosure, the species of a bird is determined based on a combination of events that are presumed to be perceived by a bird that has entered a certain area and its reaction to those events. With this configuration, it becomes possible to identify the species of a bird without using sensors such as high-performance (high-resolution) cameras. In other words, this disclosure provides a bird species identification device that solves the problem of identifying the species of an object (e.g., a bird) while keeping overall costs down.

[0036] The following describes a detailed example of a bird species identification device in this disclosure.

[0037] <Examples of event information acquired by the information acquisition unit> As described above, the information acquisition unit 120 acquires information as event information that indicates events that are presumed to be perceived by a bird that has entered the target area. For example, if some sound is being emitted from a sound source (speaker) (not shown) towards the detected bird, the information acquisition unit 120 acquires information about the sound being emitted from the sound source (e.g., the frequency of the sound) as event information. As another example, if ambient sounds around the detected bird (e.g., animal noises, wind noise, etc.) can be picked up by a microphone (not shown), the information acquisition unit 120 acquires information about the ambient sounds picked up by the microphone as event information. As yet another example, if artificial light is being shone from a light fixture (not shown) towards the detected bird, the information acquisition unit 120 may acquire information about the characteristics of the light emitted from the light fixture (wavelength, color temperature, illuminance, etc.) as event information. As yet another example, the information acquisition unit 120 may acquire information as event information about other animals (such as people) present around the detected bird by analyzing video output from a camera (not shown) that photographs the target area. As another example, the information acquisition unit 120 may acquire information about lightning that occurred near the target area as event information by analyzing video output from a camera (not shown) that photographs the target area.

[0038] <Cases where birds are identified based on multiple observations> The flowchart in Figure 3 illustrates an example of identifying the species of bird that has entered a target area using the identification result of a response to a single event (a single sound). Here, a bird that has entered a target area may perceive multiple different types of events that occur artificially and / or naturally. Furthermore, a bird that has entered a target area may exhibit various responses to each of these events. The bird species identification device 10 in this disclosure may be configured to identify the various responses (species specificity) exhibited by a bird that has entered a target area.

[0039] As an example, the information acquisition unit 120 causes a sound source (not shown) to emit multiple different types of sounds to birds that have entered the target area. For example, the information acquisition unit 120 acquires sound data related to various deterrent sounds, such as warning calls and cautionary calls of birds, and calls of animals that could be natural enemies, and supplies this data to the sound source (not shown). The sound data related to various deterrent sounds is pre-prepared in a database (not shown), for example. The information acquisition unit 120 can acquire sound data for multiple different types of deterrent sounds from this database. In addition, the information acquisition unit 120 may supply control signals (for example, multiple sine wave signals with different frequencies) to the sound source (not shown) to generate various artificial sounds. In this way, the information acquisition unit 120 controls the sound source (not shown) to emit various different types of sounds.

[0040] The reaction identification unit 130 identifies the reactions that birds show to each of multiple sounds (multiple events) emitted from a sound source. For example, the reaction identification unit 130 analyzes the video obtained after a certain sound is emitted and identifies the reaction that a bird that entered the target area showed to that sound. The reaction identification unit 130 then stores information indicating each sound and information indicating the identification result of the bird's reaction to that sound in, for example, a memory 1030 or a storage device 1040.

[0041] The discrimination unit 140 identifies the type of bird based on multiple sounds and the identification results of the bird's response to each sound. For example, the discrimination unit 140 is configured to identify the type of bird by referring to a database as illustrated in Figure 4 and using the identification results of the bird's response to each of the multiple sounds (multiple events). For example, suppose that "sound S1" and "sound S2" are emitted from a sound source not shown, and as a result, a bird that enters the target area shows "response c" to "sound S1" and "response f" to "sound S2". In this case, the information acquisition unit 120 synthesizes the responses to each of the multiple sounds and identifies the type of bird that entered the target area as "bird Z".

[0042] This configuration, which uses multiple factors to perform multifaceted discrimination, is expected to improve the accuracy of identifying the type of bird that has entered the target area.

[0043] • Second embodiment In this embodiment, we will describe an apparatus that further includes a configuration for utilizing the bird identification results from the discrimination unit 140 for pest control.

[0044] <Functional Configuration> Figure 5 shows a first example of the configuration of a bird species identification device with a pest control function. The bird species identification device 10 illustrated in this figure further comprises a sound source control unit 150. The sound source control unit 150 controls the sound source 20 to output a specific sound (a sound with a pest control effect) corresponding to the bird species identified by the identification unit 140 toward that bird. For example, the sound source control unit 150 refers to a repellent sound database 30 that stores sound data related to various repellent sounds and obtains sound data of a repellent sound corresponding to the bird species identified by the identification unit 140 from the repellent sound database 30. Then, the sound source control unit 150 supplies the sound data of the repellent sound obtained according to the bird species identified by the identification unit 140 to the sound source 20.

[0045] <Example of operation using a bird species identification device> Figure 6 is a flowchart illustrating a first example of the process performed by a bird species identification device equipped with a pest control function. The flowchart illustrated in Figure 6 differs from the flowchart in Figure 3 in that it includes steps S202 to S204. The following will mainly describe these steps S202 to S204.

[0046] The sound source control unit 150 acquires sound data related to a specific sound to be emitted against birds that have entered the target area, based on the bird species identification result obtained in step S108 (step S202). For example, the sound source control unit 150 can refer to a repellent sound database 30, as illustrated in Figure 7, and acquire repellent sound data corresponding to the bird species identified by the discrimination unit 140. Figure 7 is a diagram showing an example of a database that stores various repellent sounds. As an example, suppose the discrimination unit 140 identifies the bird species that has entered the target area as "bird Y". Based on the identification result of "bird Y", the sound source control unit 150 acquires "repellent sound data β" stored in association with "bird Y" from the repellent sound database 30.

[0047] Then, the sound source control unit 150 controls the sound source 20 to emit sound based on the sound data acquired in step S202 (step S204). For example, the sound source control unit 150 generates information indicating the position and direction of the birds to be controlled based on the output signals of various sensors installed in the target area, and outputs this information and the sound data acquired in step S202 to the sound source 20. The sound source 20 uses the sound data related to the repellent sound (specific sound) received from the sound source control unit 150 to drive an oscillator (not shown) and emits the specific sound (repellent sound) towards the position (direction) of the birds to be controlled.

[0048] As described in the example of a bird species identification device in this disclosure, based on the information of the bird species identified by the device, an effective repellent sound (specific sound) for that bird species is emitted from the sound source. This configuration allows for accurate control of birds that have entered the target area.

[0049] <Variation> Birds targeted for pest control that enter the target area are not always stationary. If the birds targeted for pest control that have entered the target area are moving around (flying) within the area, the frequency of the sound emitted from the sound source 20 and the frequency of the sound perceived by the birds may be out of sync due to their relative movement (relative speed) with respect to the sound source 20. In that case, the pest control effect of the sound emitted from the sound source 20 may be weakened. The bird species identification device 10 may further include configurations to resolve such problems.

[0050] Figure 8 shows a second example of the configuration of a bird species identification device with a pest control function. In this example, the sound source control unit 150 further comprises a frequency adjustment unit 152.

[0051] The frequency adjustment unit 152 detects the relative speed between the sound source 20 and the birds to be controlled. For example, the frequency adjustment unit 152 recognizes (one or more) birds to be controlled that have entered the target area based on the output signals of various sensors (such as cameras) installed in the target area. The frequency adjustment unit 152 also uses the output signals of the various sensors to detect the relative speed between the sound source 20 and the recognized birds to be controlled. In this disclosure, "relative speed" refers to information indicating speed and direction. The frequency adjustment unit 152 then adjusts the frequency of the sound data related to the sound emitted to the birds to be controlled using the detected relative speed.

[0052] <Example of bird species identification device operation> Figure 9 is a flowchart illustrating a second example of a process performed by a bird species identification device equipped with a pest control function. The flowchart illustrated in Figure 9 differs from the flowchart in Figure 6 in that it includes steps S302 to S304. The following will mainly describe these steps S302 to S304.

[0053] The frequency adjustment unit 152 detects the relative speed between the bird that has entered the target area (the bird to be controlled) and the sound source (step S302). For example, the frequency adjustment unit 152 can recognize a bird that has entered the target area by analyzing the video output from a camera installed in the target area. In this case, the frequency adjustment unit 152 can obtain the movement vector of the recognized bird (information indicating the direction and speed of movement) based on the difference information between the frame images that make up the video. The frequency adjustment unit 152 then extracts the vector component in the reference direction (for example, the straight line direction connecting the recognized bird and the sound source 20) from the acquired movement vector. The extracted vector component can also be said to be information indicating the relative speed between the sound source 20 and the bird to be controlled. In this way, the frequency adjustment unit 152 can detect the relative speed between the sound source 20 and the bird.

[0054] Next, the frequency adjustment unit 152 adjusts the frequency of a specific sound (repellent sound) to be emitted towards the bird using the relative velocity detected in step S302 (step S304). Specifically, the frequency adjustment unit 152 adjusts the frequency of the sound data taken in step S202 to cancel out the Doppler effect based on the detected relative velocity. For example, suppose the relative velocity detected in step S302 indicates that "the bird to be controlled is approaching the sound source 20." In this case, the frequency of the sound perceived by the bird to be controlled will be higher than the frequency of the sound emitted from the sound source 20 due to the Doppler effect. To cancel out this Doppler effect, the frequency adjustment unit 152 adjusts (corrects) the frequency of the sound data to a lower frequency. Alternatively, suppose the relative velocity detected in step S302 indicates that "the bird to be controlled is moving away from the sound source 20." In this case, the frequency of the sound perceived by the target bird will be lower than the frequency of the sound emitted from the sound source 20 due to the Doppler effect. To counteract this Doppler effect, the frequency adjustment unit 152 adjusts (corrects) the frequency of the sound data to a higher frequency. The frequency adjustment unit 152 can calculate the frequency adjustment value to counteract the Doppler effect based on the magnitude of the relative velocity.

[0055] Then, the sound source control unit 150 controls the sound source 20 to emit a repellent sound based on the sound data whose frequency has been adjusted in step S304 (step S204). For example, the sound source control unit 150 outputs a control signal (frequency-adjusted sound data) to the sound source 20 for generating a sound with the adjusted frequency in step S304. The oscillator provided in the sound source 20 is driven based on this control signal, generating a repellent sound with a frequency adjusted according to the relative speed between the sound source 20 and the bird to be controlled. The sound source control unit 150 also identifies the position (direction) of the bird to be controlled based on the output signals of various sensors installed in the target area, and outputs information indicating that position (direction) to the sound source 20. As a result, the frequency-adjusted repellent sound is emitted towards the bird to be controlled.

[0056] As described above, according to the operation of the bird species identification device in this example, the frequency of the repellent sound is adjusted based on the relative speed between the bird to be controlled and the sound source emitting the repellent sound, and then the repellent sound is emitted from the sound source. This operation makes it possible to suppress the discrepancy between the frequency of the repellent sound that the bird to be controlled actually perceives and the frequency of the repellent sound that is effective for that bird. In other words, according to this disclosure, when birds are driven away by sound (repellent sound), it is possible to suppress the weakening of the control effect of that sound (repellent sound).

[0057] In this modified example, the sound source 20 may be fixed in a specific position or may be configured to be movable to any position. In the latter case, for example, the sound source 20 may be equipped with a self-propelled mechanism or mounted on an aircraft such as a drone. In such cases, the frequency adjustment unit 152 is configured to further acquire movement control signals (signals that control the direction of movement, speed of movement, amount of movement, etc.) from the self-propelled mechanism or drone and to use these movement control signals as one of the parameters for calculating the relative speed. With this configuration, even if the sound source 20 is movable to any position, the frequency adjustment unit 152 can calculate the relative speed between the sound source 20 and the birds to be controlled without any problems.

[0058] Although the present disclosure has been described above with reference to embodiments, the present disclosure is not limited to the embodiments described above. Each embodiment can be combined with other embodiments as appropriate. Furthermore, various modifications to the configuration and details of the present disclosure can be made that will be understood by those skilled in the art within the scope of the present disclosure. For example, although birds have been used as examples in each embodiment, it will be obvious to those skilled in the art that the bird species identification device in the present disclosure can be applied to other animals that may exhibit species specificity in the same way as birds (e.g., insects and vermin). In this case, the "bird species identification device" may be called an "animal species identification device".

[0059] Furthermore, while the flowcharts used in the above description show multiple steps (processes) in sequence, the execution order of the steps performed in each embodiment is not limited to the order in which they are described. In each embodiment, the order of the illustrated steps can be changed to the extent that it does not impair the content.

[0060] Some or all of the above embodiments may also be described as follows, but are not limited to the following: 1. A detection method for detecting birds that have entered the target area, Information acquisition means for acquiring event information indicating events that are presumed to be perceived by the bird, A response identification means for identifying the bird's response to the aforementioned event, A discrimination means for determining the type of bird based on the identification result of the aforementioned event and the bird's response, A bird species identification device equipped with the following features. 2. The information acquisition means acquires information regarding the sound emitted from the sound source toward the bird as the event information. The bird species identification device described in 1. 3. The information acquisition means acquires information regarding the ambient sounds around the bird, which are picked up by a microphone, as the event information. The bird species identification device described in 1. 4. The response identification means identifies the bird's response to each of several different types of sounds, The discrimination means determines the type of bird based on the plurality of sounds and the results of identifying the bird's response to each sound. A bird species identification device as described in 2. or 3. 5. The response identification means identifies the response of the bird using the image of the bird. A bird species identification device described in any one of items 1 through 4. 6. The system further includes sound source control means for controlling the sound source to output a specific sound corresponding to the type of bird toward the bird. A bird species identification device described in any one of items 1 through 5. 7. Computers It detects birds that have entered the target area, Event information indicating events that are presumed to be perceived by the aforementioned bird is obtained. Identify the bird's response to the aforementioned event, The type of bird is determined based on the identification result of the aforementioned event and the bird's response. A method for identifying bird species, including the following. 8. By being executed by a computer, the computer will It detects birds that have entered the target area, Event information indicating events that are presumed to be perceived by the aforementioned bird is obtained. Identify the bird's response to the aforementioned event, The type of bird is determined based on the identification result of the aforementioned event and the bird's response. A program that performs an action that includes the following.

[0061] Furthermore, some or all of the configurations described in Appendices 2 to 6, which are subordinate to Appendice 1 (Bird Species Identification Device) mentioned above, may also be subordinate to Appendice 7 (Bird Species Identification Method) and Appendice 8 (Program) in the same way as in Appendices 2 to 6. Moreover, not limited to Appendices 1, 7, and 8, some or all of the configurations described as appendices may also be subordinate to various hardware, software, various recording means for recording software, or systems, without departing from the embodiments described above. [Explanation of symbols]

[0062] 10 Bird species identification device 1000 computers 1010 Bus 1020 processor 1030 memory 1040 Storage Devices 1050 Input / Output Interface 1060 Network Interfaces 110 Detection unit 120 Information Acquisition Department 130 Reaction identification unit 140 Discrimination part 150 Sound Source Control Unit 152 Frequency adjustment section 20 sound sources 30 Database of Toxic Sounds

Claims

1. A detection method for detecting birds that have entered the target area, Information acquisition means for acquiring event information indicating events that are presumed to be perceived by the bird, A response identification means for identifying the bird's response to the aforementioned event, A discrimination means for determining the type of bird based on the identification result of the aforementioned event and the bird's response, A bird species identification device equipped with the following features.

2. The information acquisition means acquires information regarding the sound emitted from the sound source toward the bird as the event information. The bird species identification device according to claim 1.

3. The information acquisition means acquires information regarding the ambient sounds around the bird, which are picked up by a microphone, as the event information. The bird species identification device according to claim 1.

4. The response identification means identifies the bird's response to each of several different types of sounds, The discrimination means determines the type of bird based on the plurality of sounds and the results of identifying the bird's response to each sound. The bird species identification device according to claim 2 or 3.

5. The response identification means identifies the response of the bird using the image of the bird. A bird species identification device according to any one of claims 1 to 3.

6. The system further includes sound source control means for controlling the sound source to output a specific sound corresponding to the type of bird toward the bird. A bird species identification device according to any one of claims 1 to 3.

7. Computers It detects birds that have entered the target area, Event information indicating events that are presumed to be perceived by the aforementioned bird is obtained. Identify the bird's response to the aforementioned event, The type of bird is determined based on the identification result of the aforementioned event and the bird's response. A method for identifying bird species, including the following.

8. By being executed by a computer, the computer will It detects birds that have entered the target area, Event information indicating events that are presumed to be perceived by the aforementioned bird is obtained. Identify the bird's response to the aforementioned event, The type of bird is determined based on the identification result of the aforementioned event and the bird's response. A program that performs an action that includes the following.

Images