KR20130006865A - Mobile terminal, immediate shot service system of the living thing using that terminal and method thereof - Google Patents

Abstract

PURPOSE: A terminal, an immediate-shot creature illustrated service system and a method thereof are provided to easily supply information for creatures related to human life. CONSTITUTION: A database stores one or more pieces of creature information. A web server(310) receives image information of creatures from terminals(100). An information providing server(320) recognizes patterns of the creatures from the image information. The information providing server compares the patterns with the creature information stored in the database. The information providing server transmits comparison result information to the terminals. [Reference numerals] (200) Network; (310) Web server; (321) Feature extraction unit; (322) Comparison unit; (323) Result providing unit; (331) Member DB; (332) Plant DB; (333) Insect DB; (334) Mushroom DB

Description

Mobile terminal, Immediate shot service system of the living thing using that terminal and Method

The present invention relates to an Internet service system, and more particularly, to a terminal providing detailed information on uploading a biological photo using a mobile terminal such as a smartphone or a tablet PC, and a method and a method for quick-shot biological illustrated service system using the same. will be.

In general, smart phones and tablet PC devices that combine the functions of a mobile phone and a PDA can send and receive data in real time anytime and anywhere using wired, wireless Internet or data transmission services. In comparison, a large memory and a high performance CPU are mounted.

Face recognition application (Application) of the simple object recognition of interest-oriented using such a smartphone and a tablet pc is used.

On the other hand, until now, the identification method of the object has been made by looking at the object with the eye, comparing the object seen with the preliminary data of the illustrated book or by expert advice. However, even experts, it is very difficult to identify things in other areas, and it is very inefficient to carry and sympathize with heavy and heavy books. .

And through the media, sometimes misunderstanding poisonous mushrooms as edible and edible may cause accidents about life.

The technical problem to be solved by the present invention is to solve the problems of the prior art, to solve the difficulties of identification of unknown things, to inform the public to all the general public, the information on the creatures that are closely related to human life To provide an easy terminal, it is to provide a quick-shot biological illustrated service system and method using the same.

Short-shot biological picture book service system according to a feature of the present invention for solving this problem,

A quick-shot biological illustrated service system in which at least one terminal is connected through a network,

A database unit for storing information of at least one organism;

A web server for receiving image information of a living organism from the terminal;

And an information provision server for recognizing the pattern of the living organism from the image information of the living creature, comparing the living animal's pattern with the information stored in the database, and transmitting the comparison result information to the terminal.

The database unit,

A plant database for storing plant information;

An insect database for storing information of insects;

Includes a mushroom database that stores mushroom information.

The information providing server,

A feature extraction unit for recognizing a pattern of the creature from the image information of the creature;

A comparison unit for comparing the recognized organism pattern with information of the organism stored in the database;

And a result providing unit for transmitting the biometric information having a predetermined degree of high agreement with the comparison result to the terminal.

The comparison unit may compare the biometric information of the database unit corresponding to the location and the date with the pattern of the recognized living creature with reference to the location and date information on which the creature was photographed.

The result providing unit provides the biological information at the request of the terminal, wherein the biological information includes species, genus, fruit, tree information and summary information of the organism.

Short-shot bio illustrated service method according to a feature of the present invention for solving this problem,

As a shortcut shot bio illustrated service method of a shortcut shot bio illustrated service system to which at least one terminal is connected through a network,

Receiving image information of a living organism from the terminal by a web server;

Recognizing, by the information providing server, the pattern of the creature from the image information of the creature;

Comparing, by the information providing server, the pattern of the recognized creature with information of the creature stored in the database;

And transmitting, by the information providing server, the comparison result information to the terminal.

The information providing server transmits the comparison result information to the terminal,

As a result of the comparison, biological information of a predetermined rank having a high degree of agreement is transmitted to the terminal with a percentage degree of agreement.

The information providing server may be configured to compare the biological information of the database unit corresponding to the location and date with the pattern of the recognized creature by referring to the location and date information on which the creature is photographed.

The information providing server provides the biological information at the request of the terminal, wherein the biological information includes species, genus, family, tree information and summary information of the organism.

The terminal according to the characteristics of the present invention for solving this problem,

A terminal having a web server and connected to a quick-shot bio illustrated service system that provides a service through a network,

An input unit for receiving a selection of a user;

Camera unit for photographing the creature;

A display unit for displaying information;

When the quick shot service is selected through the input unit, the corresponding application is executed, the camera unit is driven to acquire an image of the creature, the shape of the creature is recognized from the acquired image, and transmitted to the web server. And a control unit which displays the result information received from the server on the display unit.

In the embodiment of the present invention, it is possible to solve the difficulty of identification of unknown things, to inform all the general public about creatures, and to easily provide information about the creatures that are closely related to human life.

In addition, it is possible to solve the difficulty of identifying unknown things regardless of location, season and time.

1 is a block diagram of a quick-shot bio- illustrated service system according to an embodiment of the present invention.
2 is a block diagram of a terminal according to an embodiment of the present invention.
3 is a block diagram of a method for a quick-shot bio illustrated service according to an embodiment of the present invention.
4 is a diagram illustrating an example of a terminal screen.
5 to 8 is a view comparing the differences between similar organisms.
9 is an exemplary view of a screen of a terminal showing the comparison result information.

DETAILED DESCRIPTION Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and like reference numerals designate like parts throughout the specification.

Throughout the specification, when a part is said to "include" a certain component, it means that it can further include other components, without excluding other components unless specifically stated otherwise. Also, the terms " part, "" module," and " module ", etc. in the specification mean a unit for processing at least one function or operation and may be implemented by hardware or software or a combination of hardware and software have.

1 is a block diagram of a quick-shot biological picture book service system according to an embodiment of the present invention.

Referring to FIG. 1, a quick-shot biological illustrated service system according to an embodiment of the present invention includes a database unit 330 for storing information of at least one organism; A web server 310 for receiving image information of a living organism from the terminal; And an information providing server 320 that recognizes the pattern of the living organism from the image information of the living creature, compares the living animal with the information stored in the database, and transmits the comparison result information to the terminal.

The database unit 330 includes: a plant database 332 for storing information such as a growth process, a habitat area, a flowering time, an image, and pattern information extracted from an image corresponding to various plant positions and seasons; An insect database 333 for storing information such as growth processes, habitat areas, images, and pattern information extracted from images corresponding to various insect locations and seasons; It includes a mushroom database 334 for storing information such as the growth process, habitat area, image, pattern information extracted from the image corresponding to the location and season of the various mushrooms. And the information of these organisms can be variously modified and modified. In addition, the database unit 330 may further include a subscriber database 331 for storing subscriber information as needed, and may provide a shortcut shot bio illustrated service only to the subscriber by authenticating the subscriber.

The information providing server 320, the feature extraction unit 321 for recognizing the pattern of the creature from the image information of the creature; A comparator 322 for comparing the recognized organism pattern with information of the organism stored in the database; And a result providing unit 323 for transmitting the biometric information having a predetermined degree of high match with the comparison result to the terminal.

The comparison unit 322 compares the biometric information of the database unit corresponding to the location and the date with the pattern of the recognized creature by referring to the location and date information on which the creature is photographed.

The result providing unit 323 provides the biological information at the request of the terminal, wherein the biological information includes species, genus, family, tree information and summary information of the organism.

Hereinafter, a terminal applied to an embodiment of the present invention will be described.

The terminal 100 includes various electronic devices such as a computer, a smartphone, a notebook computer, an information terminal, a tablet pc, and the like, which are Internet-enabled.

2 is a block diagram of a terminal according to an embodiment of the present invention.

2, the terminal according to the embodiment of the present invention,

A terminal having a web server and connected to a short shot bio illustrated service system that provides a service through a network, the input unit 110, the display unit 120, the communication unit 130, the control unit 140, and the speaker 150. , Storage unit 160, timer 170, GPS unit 180, and camera unit 190. The terminal of the embodiment of the present invention is preferably a smart phone, a tablet pc or the like, but may be a general computer or a mobile communication terminal depending on the case.

The input unit 110 receives a user's selection, and may include a keyboard, a mouse, a touch screen, and the like.

The GPS unit 180 generates and outputs its coordinates using a signal received from an external satellite.

The camera unit 190 photographs a creature such as a mushroom, a plant, an insect, and outputs an image. In some cases, it also has a voice recording function.

The storage unit 160 may embed a control program and store the captured image information as necessary.

The speaker 150 may output a voice, and may output a ring tone, a human voice, and the like.

The display unit 120 displays various selection information, photographed images, comparison result information, and the like.

The communication unit 130 performs a communication function, and performs a communication function through an external communication network when using a telephone function or the Internet.

When the short shot service is selected through the input unit 110, the controller 140 executes the application, drives the camera unit 190 to acquire an image of the creature, and shapes the creature from the acquired image. Recognize and transmit the result to the web server 310, and displays the result information received from the web server 310 on the display unit 120.

The timer 170 provides date and time information.

Next, the operation of the terminal having the above configuration and the quick-shot bio illustrated service system will be described in detail.

3 is a flowchart illustrating an operation of a quick-shot bio illustrated book service method according to an exemplary embodiment of the present invention.

Referring to FIG. 3, when a user of a terminal encounters an unknown creature while walking around a mountain or a field, the terminal user selects as shown in FIG. 4 by operating the input unit 110.

 Referring to FIG. 4, when the shortcut shot service 400 is selected on the screen of the terminal 100, the controller 140 provides the shortcut shot bio illustrated service screen 400 to the display 120.

After that, the user adjusts the angle so that the creature can be correctly photographed in the camera unit 190 with respect to the creature, and selects to take a picture. Then, the camera unit 190 captures and outputs the creature under the control of the controller 140 (S120).

Then, the controller 140 recognizes the shape of the creature in the acquired image and transmits it to the web server 310. If necessary, the user determines the thing area (S130), and the control unit 140 recognizes the determined image and transmits it to the web server 310 (S140).

 Here, the entire image can be sent, but only the shape of the creature is recognized and transmitted to reduce the amount of data. In this case, the controller 140 may further obtain the location and date time information of the terminal with reference to the gps unit 180 and the timer unit 170 and transmit the information to the web server 310 (S140).

Then, the web server 310 receives the image information of the creature from the terminal.

Then, the feature extraction unit 321 of the information providing server 320 recognizes the pattern of the creature from the image information of the creature (S230).

Next, the comparison unit 322 of the information providing server 320 compares the information of the living organisms stored in the database unit 330 with the pattern of the recognized living organisms (S240), and the result providing unit 323 is percentageized. The comparison result information is transmitted to the terminal (S250, S260). At this time, the biometric information having a high degree of match is transmitted to the terminal 100 along with a percentage matched degree.

In addition, the comparison unit 322 compares the biological information of the database unit 330 corresponding to the location and the date with the pattern of the recognized living organism with reference to the location and date information on which the creature was photographed, and more accurately compares the result information. May be provided. Thus, a more accurate comparison is possible.

In addition, the information providing server 320 may provide the biological information at the request of the terminal 100, the biological information includes species, genus, subject, tree information and summary information of the organism.

The pattern recognition process and the comparison process in the above process will be described in detail below.

Short-shot bio illustrated service service takes a picture with a terminal equipped with a camera, and when data is generated, transmits it via wired or wireless Internet, and the information providing server 320 preprocesses the received data. It is a service that transmits the result value to the terminal that requested the information by extracting the feature and percentage-recognizing the recognition result through the unsupervised pattern matching process.

The feature extractor 321 and the comparator 322 recognize a thing, analyze a pattern, match it with an existing thing, and clearly classify the thing according to the feature of the thing.

Pattern recognition of the feature extractor 321 consists of two stages. For example, a plant primarily distinguishes leaves, stems, and flowers through edge detection, and uses species invariants to show similarities. Then, the plant name is read out by PCA method.

As a method for implementing the above method, when the terminal 100 converts an optical image into an electrical signal in the form of an analog signal using the camera unit 190, the terminal 100 is connected to a charge coupled device (CCD) in the camera unit 190. The two-dimensional array data converted into an electrical signal proportional to the light intensity is stored in the storage unit 160. Among the stored images, the terminal user first selects and transmits the object area to the web server 310 by using the area function in the form of a moving rectangular window that increases and decreases up, down, left, and right.

Then, the feature extraction unit 321 performs edge detection and edge tracking to chaincode. Coded data can be normalized by properly dividing the boundaries and newly sampling. In addition, after the first reading of the object using the region invariant moment, the component value is obtained by subtracting the average image of the specific object through PCA (Principal Component Analysis) method. This component value pin. In the coded, the reduced eigenvectors of the database unit 330 are spatially spaced to obtain component vectors of new object images. The minimum Euclidian distance is thus perceived as the same thing as the transmitted image.

안에 있는 화소들만을 검사한다. 불규칙한 조명 및 잡음으로 인하여 연결 부분이 끊어진 경우 구해진 에지점들을 추적하여 윤곽선이 연결되도록 하는 에지 추적(Edge Following)을 실시하며, 에지검출이 수행된 이미지상의 모든화소 (x, y)에 대한 이웃 화소들 중에서 특징이 비슷한 화소들을 연결한다. 이미지의 전처리 과정이 끝나면 이후 체인코드(Chain Code)화 에 들어간다. 영역의 경계선을 주어진 방향을 가진 단위 크기 직선들로의 표현은 4연결성 또는 8연결성의 시계 또는 반시계 방향으로 이동하여 처음 시작 화소의 위치로 되돌아오면 종료한다. 경계를 나타내는 체인코드는 출발점에 따라 달라지게 되나 체인코드를 방향을 나타내는 숫자의 열로 생각하여 정규화가 가능하다. 이때 크기가 달라진 경우 경계를 적절히 새로 표본화 하여 정규화 시킨다. 이후 불변 모멘트(Moments)를 사용하여 일차적으로 사물을 판독하게 된다. 에지 검출로 선택된 이미지는 정규화된 명암도 영상 함수를 2D 확률 변수의 확률 밀도로 해석한다. 0이 아닌 화소값이 영역을 표현 한다고 가정하면, 에지 선만이 유효한 값으로 사용되며 기존 사물의 에지 이미지와 비교하여 일차적 사물의 판독에 들어간다. 불변 모멘트의 경우 크기, 이동, 회전 변화에 대해 가장 유사한 일치율을 가지는 사물을 설정하고 이를 PCA법을 이용한 판별에 들어간다. This will be described in more detail as follows. In edge detection, an edge or a contour line may be detected as a feature that mainly represents a boundary of an area as a portion of the brightness of the image that changes from a low value to a high value or vice versa. The edge can obtain information about the location, shape, size, and the like of the region. The edges are the pixels in the image where the rate of change of the brightness value, that is, the derivative value is greater than a certain threshold value. In other words, where the change in brightness is large in the image, data is generated, and in the rest where there is no change in brightness, a value of 0 functions as a boundary detector. This uses the primary and secondary operators currently in use. If the boundary on the image is a straight line in a certain direction, use the hub transform or mask method. By comparing the gradient vector direction of neighboring pixels in edge thinnig,

Only the pixels inside are examined. If the connection is broken due to irregular lighting and noise, edge following is performed to trace the obtained edge points so that the outline is connected, and neighboring pixels for all pixels (x, y) on the image where edge detection is performed. The pixels having similar characteristics are connected. After the preprocessing of the image is finished, it is then chained. The representation of the boundary of the region as unit size straight lines with a given direction ends in the clockwise or counterclockwise direction of the 4-connected or 8-connected and returns to the position of the first starting pixel. The chaincode that represents the boundary depends on the starting point, but can be normalized by thinking of the chaincode as a column of numbers that indicate the direction. If the size is changed, the boundary is properly sampled and normalized. Then we use the constant moments to read things first. The image selected by edge detection interprets the normalized contrast image function as the probability density of the 2D random variable. Assuming a non-zero pixel value represents an area, only the edge line is used as a valid value and enters the primary object's reading compared to the edge image of the existing object. In the case of the invariant moment, we set the object with the most similar match rate for the change in size, movement, and rotation, and enter it into discrimination using the PCA method.

Principal Component Analysis (PCA), which is a secondary reading step, retrieves an image from among already stored object images when a first read image is given. When the size of an object in the image is NXN and the number of objects in the training set is M, each object image is expressed as one-dimensional column vectors having N2 components. have. The observation vector Xⅰ represents an image of each object in the training set.

Xⅰ, i = 1, ..., M

Then, the average object image (mx) of the training set is obtained by the following equation.

mx =

(=Xi - mx)라는 벡터를 구한다. 이렇게 얻어진

라는 벡터를 이용한 X의 공분산 행렬 CX는 다음과 같다.Since each object image may have different lighting conditions, to compensate for this, subtract the average object image from the same object image.

Find a vector called (= Xi-mx). Thus obtained

The covariance matrix CX of X using the vector

In this N2 X N2 covariance matrix, the normal orthogonal vectors, ie, N2 eigenvectors, that best represent the distribution of data are ordered by the magnitude of the eigenvalues.

The recognition process using the unique object image is as follows. First, to reduce the amount of data to be processed, k (k <N2) eigenvectors corresponding to large eigenvalues are obtained. Once a new object image X 'is given, to represent the new image (primaryly read image) as a series of eigenobjects obtained above, it is projected to the reduced eigenvector space and its component value is obtained by .

를 구한다.Using the component values thus obtained, the contribution of each intrinsic object in the representation of the first-read object image is

.

와 비교해서 유클리디 거리

가 최소가 되는 것이 입력 이미지사물과 같은 사물로 인식된다. The component vector of the object images stored in the reduced eigenvector space to retrieve the same as the object image read first.

Euclidean distance in comparison with

Is minimized to be recognized as an object such as an input image object.

In the case of things, variables can be classified according to the appearance (morphology) of the plant, which is based on plant morphology (insect morphology), and the diversity of plants is the result of the evolutionary process by natural selection called survival of the fittest (climate, environment, etc.). This is a feature that represents the diversity and uniqueness of things, and it is possible to identify them through the form of things.

For example, plants can be classified morphologically into leaves, roots, stems, flowers, etc., and leaves can be classified into foliar, bicotyledonous, cotyledon, exfoliation, storage lobes, insects, leafy leaves, thorns, leaflets, and large leaves. Can be classified into bell, arc, walnut, pure, powder, barrel, snow, splint, and skin fragments. Roots also have distinct morphologies such as root, lateral, reservoir, famine, contractile muscle, respiratory muscle, and root nodule.

In particular, referring to Figure 5, in the case of flowers appear symmetrical and morphologically distinct traits.

In addition, in case of mushrooms among mushrooms, the freshly stalks, sacks, and wrinkles of fruiting bodies are divided into vivid forms.In the case of the mushroom book currently on the market, very accurate data are collected. According to the Korea Forest Service published data, about 1,550 kinds of mushrooms in Korea It is known that there are 400 kinds of mushrooms known for food and medicinal use, 160 kinds of poisonous mushrooms, and 990 kinds of poisonous mushrooms. This will be described with reference to FIG.

Figure 6 is a distinction between poisonous mushrooms and edible mushrooms.

The oyster mushroom 600 of Figure 6 is edible, but the hardy mushroom is a poisonous mushroom, can be distinguished by the presence or absence of scales on the surface, yellow egg mushroom (610) is edible, but the forsythia crab mushroom is poisonous, according to the type of the gat Possibility, sari mushroom 620 is edible, but red mori mushrooms are poisonous mushrooms, distinguished by the difference in color. As such, mushrooms can be distinguished as the outward characteristics of things, and can prevent poisonous mushroom poisoning accidents that occur every year just by determining whether they can be read or not.

There are about 30,000 kinds of plants in Korea, and 23,000 kinds of plant data are collected in the National Institute of Biological Resources, and about 6,000 kinds of plants can be encountered by the general public, and about 1,200 kinds of plants are 20%. This is edible.

In addition, the plants of the plant family also have very distinct characteristics. In the case of leafy plants, organs such as leaves, stems, and roots are not clearly distinguished, but in the case of leafy plants, organs are completely differentiated like ferns and seed plants. It is a thin frond with no distinction between stems and leaves, and it is possible to distinguish roots, leaves, and stems like brush moss and water moss. In the case of the outer seeds, there is no ovary, so the seed is not exposed, single flowered, petals and calyx, whereas the inner seeds have the seed in the ovary, and the flowers have both pistil and stamens. Side by side, petals calyxes tripled, dicotyledonous plants with two leaves, leaf veins with net veins, petals sepals 4,5 times.

As we have seen above, plants are very distinctive in nature, and there is a clear difference in biodiversity. In other words, even plants of the same door, the same river, the same tree, and the same family can be clearly distinguished. Referring to FIG. 7, the following will be described.

Figure 7 is a comparison of the maple leaves of the maple family.

Figure 7 is a maple leaf of the genus Dicotyledon-tree of the Agaricaceae, among the plants, but three small leaves (lobe, 나온 片) with the tip of the leaves are ripped around the tip of the new tree (720), five of the locust tree (710 ), Seven are maples (730), 11 are called maples (700). Thus, the leaves or flower petals of plants have their own characteristics.

On the other hand, all maple leaves are seven and most have similar size and proportion.

Therefore, in the exemplary embodiment of the present invention, the difference may be data-formed through a pattern recognition method, and compared with the image data of the existing objects to accurately identify the object.

On the other hand, the arthropods of insects (Insecta) of the animal world is the first class of the great evil gate, composed of four subclasses of Myrientomata, Ligoentomata, Pterygota, and Pterygota. The body is distinctly divided into three parts: the head, the chest, and the abdomen.The head has 31 pairs of compound eyes (double eyes) and 3 monoculars (single eyes) The chest has three joints, three pairs of legs, and generally two pairs of wings. Abdomen 7-13 segments, usually 11 segments, without appendages for adult insects. A description with reference to FIG. 12 is as follows.

8 is a representative neck classification of the arthropod body structure and insect cavity.

Figure 8 shows the morphological features of the body structure of each of the arthropods arachnids, crustaceans, centipedes, insects, unlike the other three classes via the insects 830, the body into three parts (head, chest, abdomen) It can be seen that the chest has three pairs of feet and two pairs of wings, and through the representative classification diagram 840 of the insect cavity, it can be seen that the insects also have their very special appearance.

Therefore, the insect river of the arthropod gate can identify things by comparing and analyzing the data with existing objects through the object recognition algorithm mentioned above.

If necessary, in addition to the pattern recognition method described above, it is also possible to provide a bio illustrated service using the pattern recognition technology of the existing technology.

When the result information is provided to the terminal by this process, the user may be provided with the screen as shown in FIG.

Referring to FIG. 9, the image transmitted by the terminal was determined to be a hare fern as a result of object recognition, and the probability of being a hare fern is 98 percent. There is an 80 percent chance of being a fern, and a 67 percent chance of being a fern.

Thus, the user can easily obtain the information about the desired creature and further detailed information as needed.

Therefore, the general public can easily identify the objects anytime, anywhere, simply by sending the unknown object video to the terminal connected to the internet, and the accidents caused by the difficulty of judging the reading of the objects that occur every year. Can be reduced.

The embodiments of the present invention described above are not implemented only through the apparatus and the method, but may be implemented through a program for realizing a function corresponding to the configuration of the embodiment of the present invention or a recording medium on which the program is recorded. Implementation can be easily implemented by those skilled in the art from the description of the above-described embodiments.

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, It belongs to the scope of right.

Claims (7)

A quick-shot biological illustrated service system in which at least one terminal is connected through a network,
A database unit for storing information of at least one organism;
A web server for receiving image information of a living organism from the terminal;
And an information providing server that recognizes the pattern of the living organism from the image information of the living creature, compares it with information of the living creature stored in the database, and transmits the comparison result information to the terminal. The method of claim 1,
The database unit,
A plant database for storing plant information;
An insect database for storing information of insects;
A quick-shot biological illustrated service system that includes a mushroom database that stores mushroom information. The method of claim 2,
The information providing server,
A feature extraction unit for recognizing a pattern of the creature from the image information of the creature;
A comparison unit for comparing the recognized organism pattern with information of the organism stored in the database;
And a result providing unit for transmitting the biometric information having a predetermined high degree of matching result to the terminal to the terminal. The method of claim 3,
The comparison unit compares the biometric information of the database unit corresponding to the location and date with the pattern of the recognized living organism by referring to the location and date information on which the creature was photographed. 5. The method of claim 4,
The result providing unit provides the biological information at the request of the terminal, wherein the biological information includes the species, genus, fruit, tree information, and summary information of the organism. As a shortcut shot bio illustrated service method of a shortcut shot bio illustrated service system to which at least one terminal is connected through a network,
Receiving image information of a living organism from the terminal by a web server;
Recognizing, by the information providing server, the pattern of the creature from the image information of the creature;
Comparing, by the information providing server, the pattern of the recognized creature with information of the creature stored in the database;
The quick-shot bio illustrated service method comprising the step of transmitting the comparison result information to the terminal by the information providing server A terminal having a web server and connected to a quick-shot bio illustrated service system that provides a service through a network,
An input unit for receiving a selection of a user;
Camera unit for photographing the creature;
A display unit for displaying information;
When the quick shot service is selected through the input unit, the corresponding application is executed, the camera unit is driven to acquire an image of the creature, the shape of the creature is recognized from the acquired image, and transmitted to the web server. And a control unit which displays the result information received from the server on the display unit.

Images