CN114154699A - Species tour method, tour system and readable storage medium - Google Patents
Species tour method, tour system and readable storage medium Download PDFInfo
- Publication number
- CN114154699A CN114154699A CN202111410509.XA CN202111410509A CN114154699A CN 114154699 A CN114154699 A CN 114154699A CN 202111410509 A CN202111410509 A CN 202111410509A CN 114154699 A CN114154699 A CN 114154699A
- Authority
- CN
- China
- Prior art keywords
- species
- tour
- information
- path
- user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Marketing (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Navigation (AREA)
Abstract
The invention provides a species tour method, a tour system and a readable storage medium, wherein the method comprises the following steps: displaying species information and/or path information in the region according to region position information selected by a user; generating a corresponding species tour initial path according to the species and/or path selected by the user; acquiring time information of a current region and current season information, screening species on the species tour initial path, and generating a final species tour path.
Description
Technical Field
The present invention relates to the field of object recognition technologies, and in particular, to a species tour method, a species tour system, and a readable storage medium.
Background
At present, more and more people enjoy hiking in the field, where a large number of different species, such as plants, animals, birds, mushrooms, minerals, etc., are usually distributed and located in different locations. If people are unfamiliar with the distribution of species in the field, more time is needed to find the position of the species to be watched, and the experience is poor when the species are visited.
Disclosure of Invention
One of the objects of the present disclosure is to provide a species tour method, comprising:
displaying species information and/or path information in the region according to region position information selected by a user;
generating a corresponding species tour initial path according to the species and/or path selected by the user;
acquiring time information of a current region and current season information, screening species on the species tour initial path, and generating a final species tour path.
In some embodiments, the final species tour path includes a plurality of species information marked in the first manner.
In some embodiments, the species information and the route information are obtained from a species and tour information database into which the user may choose to add his tour route information and the captured image of the species.
In some embodiments, the species information and the path information include location information and altitude information.
In some embodiments, the path information and the species tour path are displayed in the form of a 3D path.
In some embodiments, the method further comprises acquiring an image of the species taken by the user, and acquiring species information through the species recognition model while marking the species image on the species tour path according to its location information.
In some embodiments, the method further comprises giving a reminding message based on an interactive mode when the user reaches the position of the corresponding species according to the species information on the final species tour path.
In some embodiments, the method further includes acquiring an image of the species taken by the user when the user arrives at the location of the corresponding species according to the species information on the final species tour path, and acquiring identification information of the species through the species identification model, and giving a reminder based on an interactive manner when the identification information of the species is inconsistent with the species information of the current location on the final species tour path.
In some embodiments, when the identification information of the species and the species information of the current position on the final species tour path belong to predefined confusable species, the distinguishing feature between the two is given based on the interactive manner.
In some embodiments, the method further includes acquiring an image of the species environment taken by the user when the user reaches the location of the corresponding species according to the species information on the final species tour path, and determining the similarity between the image and the historical environment image of the species and the current location in the tour information database through the environment recognition model so as to determine whether the user accurately finds the location of the corresponding species.
In some embodiments, acquiring an environmental image of the species taken by the user, and determining similarity between the environmental image and a historical environmental image of the species and a current location in the tour information database through the environmental recognition model, so as to determine whether the user accurately finds the location of the corresponding species further includes:
and identifying a plurality of species information in the species environment image and the historical environment image shot by the user and the position relation information between the species information and the historical environment image through a species identification model, thereby judging the similarity of the species environment image shot by the user and the historical environment image of the current position in the species and tour information database.
In some embodiments, the method further comprises updating the final species tour path according to the user's actual tour path and the species image taken on the tour path.
According to another aspect of the present disclosure, a readable storage medium is proposed, on which a program is stored, which when executed implements the species tour method as described above.
According to yet another aspect of the present disclosure, there is provided a species tour system comprising a processor and a memory, said memory having stored thereon a program which, when executed by said processor, implements a species tour method as described above.
Other features of the present disclosure and advantages thereof will become more apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description, serve to explain the principles of the disclosure.
The present disclosure may be more clearly understood from the following detailed description, taken with reference to the accompanying drawings, in which:
FIG. 1 is a flow chart of a species tour method according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating path information within a display area according to an embodiment of the invention;
FIG. 3 is a schematic diagram illustrating species information in a display area according to an embodiment of the invention;
FIG. 4 is a schematic diagram illustrating a final species tour path generated according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a final species tour path according to yet another embodiment of the present invention.
Note that in the embodiments described below, the same reference numerals are used in common between different drawings to denote the same portions or portions having the same functions, and a repetitive description thereof will be omitted. In some cases, similar reference numbers and letters are used to denote similar items, and thus, once an item is defined in one figure, it need not be discussed further in subsequent figures.
For convenience of understanding, the positions, sizes, ranges, and the like of the respective structures shown in the drawings and the like do not sometimes indicate actual positions, sizes, ranges, and the like. Therefore, the present disclosure is not limited to the positions, dimensions, ranges, and the like disclosed in the drawings and the like.
Detailed Description
Various exemplary embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses. That is, the structures and methods herein are shown by way of example to illustrate different embodiments of the structures and methods of the present disclosure. Those skilled in the art will understand, however, that they are merely illustrative of exemplary ways in which the disclosure may be practiced and not exhaustive. Furthermore, the figures are not necessarily to scale, some features may be exaggerated to show details of particular components.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
Fig. 1 is a flowchart illustrating a species tour method according to an embodiment of the present invention, which may be implemented in an application (app) installed on an intelligent terminal such as a mobile phone or a tablet computer. As shown in fig. 1, the species tour method includes:
step S1: displaying species information and/or path information in the region according to region position information selected by a user;
step S2: generating a corresponding species tour initial path according to the species and/or path selected by the user;
step S3: and acquiring time information of the current region and current season information, screening species on the tour path, and generating a final species tour path.
Referring to fig. 2 and 3, fig. 2 is a schematic diagram illustrating path information in a display area according to an embodiment of the invention, and fig. 3 is a schematic diagram illustrating species information in the display area according to the embodiment of the invention. The user may switch different display options at the user interface to display species information or pathway information within the region, respectively. For example, in fig. 2, the current area 100 selected by the user has a plurality of path information 110, 120, 130, 140, and the user can select one of the path information as a species tour path. In some embodiments, the plurality of path information includes one or more of a path name, a path location, a path length, a path elapsed time, species information on the path, and the like, and the user may click an icon or slide to switch to display detailed related information 150 of different path information.
As shown in fig. 3, when the user switches to display species information, a plurality of species information 210, 220, 230, 240 existing in the current area 200 are displayed on the user interface, and the user can click an icon or slide to switch to view detailed information 250 of different species information.
Referring to fig. 4 again, fig. 4 is a schematic diagram illustrating a final species tour path generated according to an embodiment of the present invention. In some embodiments, a corresponding species tour initial path is first generated according to a plurality of species or a certain path selected by a user, then time information of a current region and current season information are acquired, species on the species tour initial path are filtered, and a final species tour path 300 is generated, which includes the species 310 and 320, and further detailed information 330 of the species tour path 300 can be displayed. In some embodiments, the species comprises at least one of a plant, an animal, a bird, a mushroom, a mineral. Other species may of course be included, and the application is not limited. In some embodiments, when a species on the initial tour path is determined according to the time information of the current region and the current season information, and is not in a period available for the user to view, the species may be deleted on the initial tour path, for example, a part of the plant may be in a withering or dormant period, a part of the animal may be in a hibernation period, a part of the birds may be in a migration period, a part of the mushroom is in a non-growing period, and the like, and these species in the non-viewing period may be deleted on the initial tour path, so as to avoid confusion caused by the user not finding the corresponding species when the user reaches the corresponding location point, and when the corresponding species is deleted, a prompt message may be provided to inform the user that the current species is not in a viewing period in the current time period.
In some embodiments, the final species tour path includes a plurality of species information marked in a first manner, the user may view which species information are included at different positions on the current species tour path, the distance information and the position relationship between the current position of the user and the next or other species, and the user may also select to click on different marks to view the corresponding species.
In some embodiments, the species information and the route information are acquired from a species and tour information database, the species and tour information database has basic species information and tour route information, and can automatically acquire and display relevant information in a current area according to a user position, the species and tour information database also includes relevant information uploaded by other users, and the users can also select to add the tour route information of the users and the shot species images into the species and tour information database.
In some embodiments, the species information and the path information include location information and altitude information, and the path information and the species tour path are displayed in the form of a 3D path. For example, in the field, in areas such as mountains or canyons with a certain altitude drop, the same GPS location information may have different altitudes and need to be distinguished accordingly, so that the altitude information and the 3D path including the altitude information are added for display, and the location information of different species can be displayed more accurately, which is convenient for the user to view and search.
In some embodiments, the method further comprises acquiring an image of the species taken by the user, and acquiring species information through the species recognition model while marking the species image on the species tour path according to its location information. The user may find the species of interest on the species tour path, and the species tour path may be recorded in the form of a shot photograph, and the related information of the species may be identified and acquired by the species identification model, and the location information may also be recorded on the species tour path, so that the user may view the specific location information of the species found by the user.
In some embodiments, the method further comprises giving a reminding message based on an interactive mode when the user reaches the position of the corresponding species according to the species information on the final species tour path. Due to the complex field environment and a large number of interference factors, the user easily misses the position of the species on the tour route, and therefore the user needs to give a prompt when arriving at the specific position of the corresponding species. The mode based on interactive reminding can be adopted, so that the user can conveniently find the selected ornamental species in time, and the corresponding ornamental positions are prevented from being missed or omitted carelessly.
In some embodiments, the method further includes acquiring an image of the species taken by the user when the user arrives at the location of the corresponding species according to the species information on the final species tour path, and acquiring identification information of the species through the species identification model, and giving a reminder based on an interactive manner when the identification information of the species is inconsistent with the species information of the current location on the final species tour path. The user may not be particularly familiar with the species selected for viewing, when the user arrives at the position of the corresponding species, the user needs to shoot the species image, and the species identification model is used for assisting to judge whether the corresponding species is accurately found, the species identification model can carry out identification processing according to the species image shot by the user to acquire the identification information of the species, then judge whether the species information is consistent with the species information of the current position on the species tour path, when the species information is not consistent with the species information of the current position on the species tour path, the user is judged not to find the accurate species, and the user needs to be reminded, so that the user can search the corresponding species again.
In some embodiments, when the identification information of the species and the species information of the current position on the final species tour path belong to predefined confusable species, the distinguishing feature between the two is given based on the interactive manner. In a real-world environment, there are typically a variety of morphologically similar species. In order to judge whether the user accurately finds the corresponding species, the system creates a confusable species database in advance, wherein the confusable species database comprises names of a plurality of groups of confusable species and distinguishing characteristics of the confusable species, and the database comprises shooting rules which should be adopted aiming at each distinguishing characteristic. When the species image shot by the user belongs to a certain confusable species in the confusable species database after being identified and processed by the species identification model, the reminding information is output, and the distinguishing characteristics between the two are provided, so that the user can conveniently judge whether the corresponding species is accurately found, and the shooting rule which should be adopted by the distinguishing characteristics can be provided, so that the user can conveniently shoot again and confirm the species information again through the species identification model.
In some embodiments, the method further includes acquiring an image of the species environment taken by the user when the user reaches the location of the corresponding species according to the species information on the final species tour path, and determining the similarity between the image and the historical environment image of the species and the current location in the tour information database through the environment recognition model so as to determine whether the user accurately finds the location of the corresponding species. Because the field environment is complex, there may be many different species in the same position, and the existing position location technical scheme (such as GPS or beidou positioning system) cannot reach very accurate degree, when the user reaches the corresponding species position, it cannot be effectively judged which direction the user needs to face in the multiple species environment near the current position to search in a small range, so it needs to accurately judge whether the user accurately finds the corresponding species position by a certain technical means. The user can shoot the species environment image after reaching the corresponding species position, and judge the similarity between the species environment image and the historical environment image at the current position in the species and tour information database through the environment recognition model, namely, the environment recognition model compares the similarity between the feature information of the species environment image shot by the user and the feature information of the historical environment image stored in the database, and when the similarity between the feature information of the species environment image shot by the user and the feature information of the historical environment image stored in the database is greater than a preset threshold value, for example, the similarity is greater than 70%, the user is judged to find the accurate position of the corresponding species.
In some embodiments, acquiring an environmental image of the species taken by the user, and determining similarity between the environmental image and a historical environmental image of the species and a current location in the tour information database through the environmental recognition model, so as to determine whether the user accurately finds the location of the corresponding species further includes: and identifying a plurality of species information in the species environment image and the historical environment image shot by the user and the position relation information between the species information and the historical environment image through a species identification model, thereby judging the similarity of the species environment image shot by the user and the historical environment image of the current position in the species and tour information database. For example, the species identification model is used for acquiring information of a plurality of species in an environment image of the species taken by a user, particularly species information of fixed positions of plants and the like, and acquiring the position relationship between the species and the species, and the species identification model is used for acquiring information of a plurality of species in a historical environment image of the current position in a species and tour information database, and also acquiring the position relationship between the species and the species, and then comparing the species information of the image taken by the user and the historical image, and the similarity of the position relationship between the species, so as to judge whether the user accurately finds the corresponding environment position of the species. The user can shoot species environment images in multiple directions at the current arriving species position, or shoot multiple images of different species environments at multiple places close to the current position, and the images are sequentially identified and judged through the environment identification model, and are comprehensively judged through species information of fixed positions such as plants and the like and position relation information among the species information until the accurate corresponding species environment position is found, so that the user can conveniently and accurately find the corresponding species in the species environment position to watch.
Referring to fig. 5, in some embodiments, the method further comprises updating the final species tour path according to the user's actual tour path and the species image taken on the tour path. During the tour, the user may find a plurality of interesting species 340 on the tour path 300 in addition to the pre-selected ornamental species 310, 320, when the user takes an image of the corresponding species, the system records the location of the species and marks it on the final species tour path in the same way, and the user can click on the species icon to view its details 350 and the tour path details 330; meanwhile, the user may change the tour path during the tour process, so that when the user finishes the tour, the actual tour path of the user is recorded, and the information of each species shot by the user is marked on the actual tour path.
In some embodiments, the species identification model may be a neural network model, in particular a convolutional neural network model or a residual network model. The convolutional neural network model is a deep feedforward neural network, and a convolutional kernel is utilized to scan the species image, extract the features to be identified in the species image and further identify the features to be identified of the species. In addition, in the process of identifying the species image, the original species image can be directly input into the convolutional neural network model without preprocessing the species image. Compared with other recognition models, the convolutional neural network model has higher recognition accuracy and recognition efficiency.
Compared with a convolutional neural network model, the residual network model has more identical mapping layers, and the phenomenon that the accuracy is saturated and even reduced along with the increase of the network depth (the number of stacked layers in the network) can be avoided. The identity mapping function of the identity mapping layer in the residual network model needs to satisfy: the sum of the identity mapping function and the input of the residual network model is equal to the output of the residual network model. After the identity mapping is introduced, the change of the residual error network model to the output is more obvious, so that the identification accuracy and the identification efficiency of species can be greatly improved.
In some embodiments, training the species recognition model may include:
obtaining a first sample set with a first preset number of species images marked with species;
determining a first proportion of species images from a first sample set as a first training set;
training a species recognition model with a first training set; and
and finishing the training when the first training accuracy is greater than or equal to a first preset accuracy to obtain the trained species recognition model.
Specifically, in the first sample set, a large number of species images may be included, and each species image corresponds to a species labeled. Inputting the species image into the species recognition model to generate an output species, then adjusting related parameters in the species recognition model according to a comparison result between the output species and the labeled species, namely training the species recognition model until the training is finished when the first training accuracy of the species recognition model is greater than or equal to a first preset accuracy, thereby obtaining the trained species recognition model. From one species image, the species identification model may also output a plurality of candidate species, where each candidate species may have its respective species confidence for further analysis screening.
Further, the trained species recognition model may be tested, and specifically, the method may include:
determining a second proportion of images of the species from the first sample set as a first test set;
determining a first model accuracy of the trained species recognition model by using the first test set; and
and when the accuracy rate of the first model is smaller than the second preset accuracy rate, adjusting the first training set and/or the species recognition model for retraining.
In general, the species images in the first test set and the first training set are not identical, so that the first test set can be used to test whether the species recognition model has a good recognition effect on the species images outside the first training set. During the testing process, a first model accuracy of the species identification model is calculated by comparing the output species generated from the species images in the first test set with the annotated species. In some examples, the first model accuracy may be calculated in the same manner as the first training accuracy. When the accuracy of the first model obtained through the test is smaller than the second preset accuracy, it is indicated that the recognition effect of the species recognition model is not good enough, so that the first training set may be adjusted, specifically, for example, the number of species images marked with species in the first training set may be increased, or the species recognition model itself may be adjusted, or both of the foregoing may be adjusted, and then the species recognition model is retrained to improve the recognition effect. In some embodiments, the second preset accuracy may be set equal to the first preset accuracy.
The present embodiment also provides a readable storage medium having stored thereon a program which, when executed, implements the species tour method as described above. Further, the present embodiment also provides a species tour system, which includes a processor and a memory, where the memory stores a program, and the program, when executed by the processor, implements the species tour method as described above.
Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the foregoing examples are for purposes of illustration only and are not intended to limit the scope of the present disclosure. The various embodiments disclosed herein may be combined in any combination without departing from the spirit and scope of the present disclosure. It will also be appreciated by those skilled in the art that various modifications may be made to the embodiments without departing from the scope and spirit of the disclosure. The scope of the present disclosure is defined by the appended claims.
Claims (14)
1. A method of species tour, comprising:
displaying species information and/or path information in the region according to region position information selected by a user;
generating a corresponding species tour initial path according to the species and/or path selected by the user;
acquiring time information of a current region and current season information, screening species on the species tour initial path, and generating a final species tour path.
2. The species tour method of claim 1, wherein the final species tour path includes a plurality of species information marked in the first way.
3. The species tour method according to claim 1, wherein the species information and path information are obtained from a species and tour information database, and a user can choose to add his tour path information and the captured image of the species to the species and tour information database.
4. A species tour method according to claim 1, characterized in that said species information and path information include location information and altitude information.
5. A species tour method according to claim 4, characterized in that said path information and species tour path are displayed in the form of a 3D path.
6. The species tour method according to claim 1, further comprising acquiring an image of the species taken by the user and acquiring species information through the species recognition model while marking the species image on the species tour path according to its location information.
7. The species tour method according to claim 1, further comprising giving a reminding message based on an interactive manner when the user arrives at the location of the corresponding species according to the species information on the final species tour path.
8. The species tour method according to claim 1, further comprising acquiring an image of the species taken by the user when the user arrives at the location of the corresponding species according to the species information on the final species tour path, and acquiring identification information of the species through the species identification model, and giving a reminder based on an interactive manner when the identification information of the species is not consistent with the species information of the current location on the final species tour path.
9. The species tour method according to claim 8, wherein when the identification information of the species and the species information of the current position on the final species tour path belong to predefined confusable species, the distinguishing feature between the two is given based on an interactive manner.
10. The species tour method according to claim 7, further comprising obtaining an environmental image of the species taken by the user when the user arrives at the location of the corresponding species according to the species information on the final species tour path, and determining similarity between the environmental image and a historical environmental image of the species and the current location in the tour information database through an environment recognition model so as to determine whether the user accurately finds the location of the corresponding species.
11. The species tour method of claim 10, wherein the acquiring of the species environment image taken by the user and the determining of the similarity with the historical environment image of the species and the current location in the tour information database by the environment recognition model to determine whether the user accurately finds the location of the corresponding species further comprises: and identifying a plurality of species information in the species environment image and the historical environment image shot by the user and the position relation information between the species information and the historical environment image through a species identification model, thereby judging the similarity of the species environment image shot by the user and the historical environment image of the current position in the species and tour information database.
12. A species tour method according to claim 1, further comprising updating the final species tour path according to the user's actual tour path and the species image taken on the tour path.
13. A readable storage medium having a program stored thereon, wherein the program when executed implements a species tour method according to any of claims 1 to 12.
14. A species tour system comprising a processor and a memory, the memory having stored thereon a program which, when executed by the processor, carries out a species tour method according to any one of claims 1 to 12.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111410509.XA CN114154699A (en) | 2021-11-23 | 2021-11-23 | Species tour method, tour system and readable storage medium |
| PCT/CN2022/129296 WO2023093480A1 (en) | 2021-11-23 | 2022-11-02 | Species touring method and system, and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111410509.XA CN114154699A (en) | 2021-11-23 | 2021-11-23 | Species tour method, tour system and readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114154699A true CN114154699A (en) | 2022-03-08 |
Family
ID=80457803
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111410509.XA Pending CN114154699A (en) | 2021-11-23 | 2021-11-23 | Species tour method, tour system and readable storage medium |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN114154699A (en) |
| WO (1) | WO2023093480A1 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115617929A (en) * | 2022-09-07 | 2023-01-17 | 北京字跳网络技术有限公司 | Interaction method, device, electronic device and storage medium |
| WO2023093480A1 (en) * | 2021-11-23 | 2023-06-01 | 杭州睿胜软件有限公司 | Species touring method and system, and readable storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080086686A1 (en) * | 2006-10-10 | 2008-04-10 | Microsoft Corporation | User interface for displaying images of sights |
| CN109119008A (en) * | 2018-09-28 | 2019-01-01 | 江苏派远软件开发有限公司 | A kind of intelligent guide system |
| CN109447150A (en) * | 2018-10-26 | 2019-03-08 | 杭州睿琪软件有限公司 | A kind of plants ' aesthetics method, apparatus, electronic equipment and storage medium |
| CN110674805A (en) * | 2019-10-11 | 2020-01-10 | 杭州睿琪软件有限公司 | Insect identification method and system |
| CN110766195A (en) * | 2019-09-16 | 2020-02-07 | 武汉理工大学 | Scenic spot internal tour path planning method based on tourist demands |
| CN112257673A (en) * | 2020-11-17 | 2021-01-22 | 携程计算机技术（上海）有限公司 | Animal identification method, system, device and storage medium based on tourist image |
| CN113537548A (en) * | 2020-04-21 | 2021-10-22 | 杭州海康威视数字技术股份有限公司 | Method, device and equipment for recommending driving route |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101603834A (en) * | 2009-07-10 | 2009-12-16 | 深圳市凯立德计算机系统技术有限公司 | Method for information display and information display system based on walking navigation |
| CN102109355B (en) * | 2009-12-25 | 2013-01-09 | 神达电脑股份有限公司 | Method and device for selectively displaying interest points according to travel destination |
| JP2016050895A (en) * | 2014-09-01 | 2016-04-11 | カシオ計算機株式会社 | Landmark display device, method, and program |
| JP2017032654A (en) * | 2015-07-29 | 2017-02-09 | アイシン・エィ・ダブリュ株式会社 | Information guide system, information guide method and computer program |
| CN113793405A (en) * | 2021-09-15 | 2021-12-14 | 杭州睿胜软件有限公司 | Method, computer system and storage medium for presenting distribution of plants |
| CN114154699A (en) * | 2021-11-23 | 2022-03-08 | 杭州睿胜软件有限公司 | Species tour method, tour system and readable storage medium |
-
2021
- 2021-11-23 CN CN202111410509.XA patent/CN114154699A/en active Pending
-
2022
- 2022-11-02 WO PCT/CN2022/129296 patent/WO2023093480A1/en active Application Filing
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080086686A1 (en) * | 2006-10-10 | 2008-04-10 | Microsoft Corporation | User interface for displaying images of sights |
| CN109119008A (en) * | 2018-09-28 | 2019-01-01 | 江苏派远软件开发有限公司 | A kind of intelligent guide system |
| CN109447150A (en) * | 2018-10-26 | 2019-03-08 | 杭州睿琪软件有限公司 | A kind of plants ' aesthetics method, apparatus, electronic equipment and storage medium |
| CN110766195A (en) * | 2019-09-16 | 2020-02-07 | 武汉理工大学 | Scenic spot internal tour path planning method based on tourist demands |
| CN110674805A (en) * | 2019-10-11 | 2020-01-10 | 杭州睿琪软件有限公司 | Insect identification method and system |
| CN113537548A (en) * | 2020-04-21 | 2021-10-22 | 杭州海康威视数字技术股份有限公司 | Method, device and equipment for recommending driving route |
| CN112257673A (en) * | 2020-11-17 | 2021-01-22 | 携程计算机技术（上海）有限公司 | Animal identification method, system, device and storage medium based on tourist image |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023093480A1 (en) * | 2021-11-23 | 2023-06-01 | 杭州睿胜软件有限公司 | Species touring method and system, and readable storage medium |
| CN115617929A (en) * | 2022-09-07 | 2023-01-17 | 北京字跳网络技术有限公司 | Interaction method, device, electronic device and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2023093480A1 (en) | 2023-06-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11335087B2 (en) | Method and system for object identification | |
| CN109447150B (en) | Plant viewing method, plant viewing device, electronic equipment and storage medium | |
| US20220101059A1 (en) | Learning system, learning device, learning method, learning program, teacher data creation device, teacher data creation method, teacher data creation program, terminal device, and threshold value changing device | |
| Fonte et al. | Assessing VGI data quality | |
| CN109635657A (en) | Method for tracking target, device, equipment and storage medium | |
| CN107993191B (en) | Image processing method and device | |
| CN107291888B (en) | Machine learning statistical model-based living recommendation system method near living hotel | |
| US8923570B2 (en) | Automated memory book creation | |
| US20190320061A1 (en) | Proximity-based event networking system and wearable augmented reality clothing | |
| CN106462574A (en) | Techniques for machine language translation of text from an image based on non-textual context information from the image | |
| US20130275894A1 (en) | Method and system for sharing object information | |
| US10762660B2 (en) | Methods and systems for detecting and assigning attributes to objects of interest in geospatial imagery | |
| CN102915326A (en) | Mobile terminal scenery identifying system based on GPS (Global Positioning System) and image search technique | |
| CN110851638B (en) | Method and device for obtaining species identification name | |
| CN106030612B (en) | Photo thermal map is provided | |
| CN114154699A (en) | Species tour method, tour system and readable storage medium | |
| KR20180101472A (en) | Method and device for identifying the type of geographic location in which a user is located | |
| Shimoda et al. | Learning food image similarity for food image retrieval | |
| CN103106236A (en) | Information registration device, information registration method, information registration system, information presentation device, informaton presentation method and informaton presentaton system | |
| CN110020144A (en) | A kind of recommended models method for building up and its equipment, storage medium, server | |
| CN114140663A (en) | Multi-scale attention and learning network-based pest identification method and system | |
| CN120162459A (en) | Music recommendation method, system and device based on user emotion monitoring | |
| CN113366420A (en) | Image processing method, computer-readable storage medium, and computer device | |
| CN112183613B (en) | Object recognition method and apparatus and non-transitory computer readable storage medium | |
| JP2007094679A (en) | Image analysis apparatus, image analysis program, and image analysis program storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |