KR-102963065-B1 - Bird Ecology Monitoring System Using Radar and Camera
Abstract
The present invention comprises a terminal having: a radar that generates radar information when it detects a flying bird using radio waves; a radar analysis unit that generates shooting information including a shooting time based on the radar information; a camera that generates a flight image of the bird according to the shooting information; an image analysis unit that generates a valid image by extracting a still image containing an image of the bird from the flight image of the bird; and a terminal communication unit that transmits the valid image to the outside.
Inventors
- 황기영
- 김선명
Dates
- Publication Date
- 20260508
- Application Date
- 20241129
Claims (11)
- A radar that generates radar information when it detects flying birds using radio waves; A radar analysis unit that generates shooting information including the shooting time based on the above radar information; A camera that generates a flight image of the bird according to the above shooting information; An image analysis unit that generates a valid image by extracting a still image containing an image of the bird from a flight video of the bird; A terminal having a terminal communication unit that transmits the above valid image to the outside; A server communication unit that receives the valid image transmitted by the above communication unit; A server storage unit in which the valid image received by the server communication unit is stored; and A server having a classification storage unit in which classification information is stored, wherein an expert or artificial intelligence analyzes the shape of the bird included in the valid image to classify the species, genus, or family of the bird; and The above radar information is, Including the distance to the above bird, The above radar analysis unit is, Based on the distance to the bird mentioned above, the magnification ratio of the optical system of the camera is derived, and The above shooting information is, It further includes the magnification ratio of the above optical system, and A gimbal unit that controls the direction of the optical system of the camera toward the expected path where the bird is expected to fly; further comprising The above radar analysis unit is, Calculate the predicted path based on the flight path of the bird mentioned above, and Further comprising a feedback loop that feeds back the clarity generated by the image analysis unit to the radar analysis unit. The above image analysis unit is, The shape of the bird shown in the above valid image is image analyzed to calculate the sharpness indicating the degree of clarity of the bird shape, and The above radar analysis unit is, Based on radar information, image information is generated using wingbeat characteristics including the frequency of wingbeats, and Revise the above shooting information based on the above-mentioned clarity, and When a bird entering the pre-detection airspace is detected, image information is generated based on the location, direction, and speed of the detected bird, and The above shooting information is, It includes the time of filming, and further includes the frame rate per minute of the flight video of the bird. The above server is, It further includes a classification evaluation unit in which a classification evaluation, which is the classification success or failure rate from the previously classified information, is stored; and The classification evaluation calculated by the above classification evaluation unit is transmitted externally through the server communication unit, and The classification evaluation received through the above terminal communication unit is fed back to the above radar analysis unit through the above feedback loop, and The above radar analysis unit is, Revise the above shooting information based on the feedback above classification evaluation, and The above image analysis unit is, An artificial intelligence unit that analyzes the shape change of the bird in the flight video and classifies the part where the flapping motion of the bird appears as a valid video; and Further comprising an image generation unit that extracts the still image constituting the valid image and generates the valid image; The above terminal Only valid images acquired from the flight footage are transmitted to the server, and The above image analysis unit After converting a still image constituting a valid video showing a flapping motion into a valid image, the valid image is transmitted to a server through a terminal communication unit, and The above server is Reintegrating transmitted valid images into a single video, or performing classification of bird species, genus, or family by analyzing shape changes of birds appearing in valid images and recognizing wing flapping movements, and The above valid images are arranged sequentially in chronological order to track deformation of the bird's body parts, and The above radar is, having a donut-shaped pre-detection airspace; The center point of the aforementioned pre-detection airspace and the focus of the aforementioned camera overlap, and The above image generation unit is, A plurality of the above still images constituting the above valid image are extracted, and a plurality of the above valid images are generated using the same, and The center point (P) of the above-mentioned donut-shaped pre-detection airspace is positioned identically to the zenith where the vertical line in the direction of gravity of the monitoring point meets the celestial sphere, and The above image analysis unit Adjusts the frame rate and resolution based on weather conditions, and The above server selectively reintegrates only the wing flapping images from the above valid images into a video for bird characteristic analysis. A bird monitoring system using radar and camera characterized by the following.
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Description
Bird Ecology Monitoring System Using Radar and Camera The present invention relates to a bird monitoring system using radar and a camera. Specifically, it relates to a bird monitoring system using radar and a camera that can generate reliable wild bird ecological analysis results by eliminating factors that make quantitative comparison difficult in conventional wild bird monitoring methods using field surveys and point surveys by professional personnel, and can acquire valid images that are not limited by time, weather, etc., provide identical monitoring conditions, allow for quantitative comparison of monitoring results performed in different regions, and increase the success rate of bird classification as monitoring operations are performed. As a method for monitoring the ecology of birds among wild animals, conventional methods relied on visual observation by experts in the relevant field who could classify bird species. This is because bird monitoring mostly requires identifying flying birds from a distance and classifying the species or family based on the silhouette of their bodies, making it essential to form a survey team that includes experts. However, the reality is that quantitative analysis is very difficult with such manual monitoring due to many limitations. Since flying birds must be observed visually, practical surveys are impossible unless the location is easily accessible for movement and observation. Furthermore, the demand for such bird ecological survey activities has recently been increasing as they are linked to the construction of wind power facilities. However, since the locations where wind power facilities are constructed are offshore or mountainous areas, it is difficult for the survey team to access them. Even if they are able to access the sites temporarily to conduct tidal monitoring, the survey is only possible for a very limited amount of time, which inevitably raises significant issues regarding the reliability of the survey results. Meanwhile, various problems must be solved to make such bird monitoring systems unmanned. Unlike land animals, it is difficult to detect the approach of flying birds in advance, making it difficult to digitize their shapes. Furthermore, when detecting birds, it is necessary to conduct surveys that allow for quantitative comparison, but the current situation is that no suitable alternative has been presented. FIG. 1 is a block diagram illustrating a bird monitoring system using radar and a camera according to a preferred embodiment of the present invention. FIG. 2 is a diagram illustrating a donut-shaped pre-tambigence area. FIG. 3 is a diagram illustrating the reduction in the angle of view due to the magnification of the optical system and the movement of the angle of view by the gimbal unit. The present invention is capable of various modifications and may have various embodiments, and specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and it should be understood that it includes all modifications, equivalents, and substitutions that fall within the spirit and scope of the invention. In describing each drawing, similar reference numerals have been used for similar components. In describing the present invention, detailed descriptions of related prior art are omitted if it is determined that such detailed descriptions could obscure the essence of the invention. Terms such as "first," "second," etc., may be used to describe various components, but said components should not be limited by said terms. These terms are used solely for the purpose of distinguishing one component from another. For example, without departing from the scope of the rights of the present invention, the first component may be named the second component, and similarly, the second component may be named the first component. The term "and/or" includes a combination of multiple related listed items or any of the multiple related listed items. The terms used in this application are used merely to describe specific embodiments and are not intended to limit the invention. The singular expression includes the plural expression unless the context clearly indicates otherwise. In this application, terms such as "comprising" or "having" are intended to specify the existence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof. Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which this invention pertains. Terms such as those defined in commonly used dictionaries should be interpreted as having meanings