CN109886283A - A kind of plant image intelligent identifying system based on AR - Google Patents
A kind of plant image intelligent identifying system based on AR Download PDFInfo
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- CN109886283A CN109886283A CN201711274338.6A CN201711274338A CN109886283A CN 109886283 A CN109886283 A CN 109886283A CN 201711274338 A CN201711274338 A CN 201711274338A CN 109886283 A CN109886283 A CN 109886283A
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- 241000411851 herbal medicine Species 0.000 claims abstract description 15
- 238000013473 artificial intelligence Methods 0.000 claims abstract description 11
- 230000003993 interaction Effects 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims abstract description 10
- 238000011161 development Methods 0.000 claims abstract description 8
- 239000003814 drug Substances 0.000 claims abstract description 8
- 230000002452 interceptive effect Effects 0.000 claims abstract description 5
- 238000013461 design Methods 0.000 claims abstract description 4
- 238000012549 training Methods 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 9
- 230000003190 augmentative effect Effects 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 3
- 238000013135 deep learning Methods 0.000 claims description 3
- 238000010801 machine learning Methods 0.000 claims description 3
- 230000003068 static effect Effects 0.000 claims description 2
- 230000000694 effects Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000009466 transformation Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000019771 cognition Effects 0.000 description 2
- 238000007654 immersion Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
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Abstract
The present invention relates to a kind of plant image intelligent identifying system based on AR, system include image capture module, image recognition processing module, human-computer interaction interface, memory module, server-connection module, and described image identification includes TuGO artificial intelligence engine.TuGO is absorbed in Chinese herbal medicine image and classification identification in kind, ARdEZ Lab is TuGO engine design and optimizes the algorithm for complicated plants identification, also large-scale training identification of the artificial intelligence to Chinese herbal medicine under different conditions simultaneously, while facilitating user's Chinese herbal medicine intelligent recognition and interactive experience, also the development for Chinese medicine information system provides effective support.
Description
Technical field
The present invention relates to Digital Image Processing and mode identification technology, especially a kind of plant image intelligence based on AR
It can identifying system.
Background technique
Traditional identification software recognition efficiency is low, and needing to take pictures, contrast operation is cumbersome, and turnaround time is long, and distinguishes plant
Type is limited.Increasingly developed with AR augmented reality, application is increasingly accepted by people, and AR technology becomes application
Extensively, strong application solution.
It the needs of herbal medicine intelligent recognition, is proposed in smart phone in field pair to meet Chinese medicine fan and people
On develop a kind of plant image intelligent identifying system based on AR, pass through Chinese herbal medicine vitellarium flower color and blade shape
And the resemblances such as fruit picture carry out comparison in kind, realize the interaction of cell phone client and database server side, reach
The purpose of intelligent recognition.Chinese herbal medicine intelligent recognition software based on mobile phone both extended while facilitating user's Chinese herbal medicine to identify
With the development and application for improving cell phone software, and effective support is provided for the development of Chinese medicine information system.
Summary of the invention
That the problem to be solved in the present invention is to provide a kind of structures is simple, easy to use, recognition efficiency is high, applied widely
Plant image intelligent identifying system based on AR also can be Chinese medicine information system while facilitating user's Chinese herbal medicine to identify
Development provides effective support.
The object of the present invention is achieved like this: a kind of plant image intelligent identifying system based on AR, the system packet
Include 5 modules: image capture module, image recognition processing module, human-computer interaction interface, memory module, server connection mould
Block.
The image capture module is converted Plant entity sample using smart phone photography, digital camera etc.
For digital image data, picture and image acquisitions are carried out using static, dynamical fashion.
The memory module storage digital image data and client data.
The server-connection module includes connection server network communication device, server identifier and memory.
The human-computer interaction interface shows title, shape, characteristic, effect of plant etc. using AR augmented reality
Information improves the interactivity of software.
Described image recognition processing module includes TuGO, and TuGO is that ARdEZ Lab passes through machine learning and deep learning frame
The artificial intelligence engine of frame exploitation.TuGO is absorbed in Chinese herbal medicine image and classification identification in kind, and ARdEZ Lab is TuGO engine
Design and optimize the algorithm for complicated plants identification, at the same also large-scale training artificial intelligence under different conditions
The identification of herbal medicine, such as the identification under different patent medicine states and growth period state.
Further, the artificial intelligence engine TuGO is constituted multiple using labyrinth or multiple nonlinear transformation
Process layer carries out abstract algorithm to data.Realize computer to image with this method for carrying out feature learning to data
Classification and identification.
Compared with prior art, the invention has the following advantages:
1) user can be shot or be scanned to plant with this system outdoors, understand the title, shape, spy of the plant of plant
Property, the information such as effect, there is intelligent recognition function.
2) system uses TuGO artificial intelligence engine, is absorbed in Chinese herbal medicine image and classification identification in kind, ARdEZ Lab
For TuGO engine design and optimize the algorithm for complicated plants identification, at the same also large-scale training artificial intelligence to not
With the identification of Chinese herbal medicine under state, such as the identification under different patent medicine states and growth period state.
3) exclusive feeling of immersion interactivity breaks through traditional comparison feedback of taking pictures, can using AR augmented reality emulation technology
Interactive operation is realized by human-computer interaction interface, brings different cognitions to experience to user.
4) this system is equipped with image recognition processing module, constitutes multiple processing using labyrinth or multiple nonlinear transformation
Layer carries out abstract algorithm, accuracy of identification and more efficient to data.
Detailed description of the invention
Fig. 1 is a kind of plant image intelligent identifying system flow chart based on AR of the present invention.
Fig. 2 is a kind of plant image intelligent identifying system structural schematic diagram based on AR of the present invention.
Specific embodiment
In order to which user more fully understands the plant image intelligent identifying system based on AR in the present invention, below in conjunction with this
Apply for the attached drawing in embodiment, the technical solution in the application embodiment is clearly and completely described, it is clear that institute
The embodiment of description is only the embodiment for applying for a part of embodiment, rather than whole.Based on the reality in the application
Apply mode, every other embodiment obtained by those of ordinary skill in the art without making creative efforts,
The application protection scope all should belong to.
Referring to Fig. 2, the application embodiment provides a kind of plant image intelligent identifying system based on AR, the system
Including 5 modules: image capture module, image recognition processing module, human-computer interaction interface, memory module, server connection
Module.
Software to be opened, human-computer interaction interface is logged in, mobile phone terminal server connects network communication device, identifier and memory,
Image capture module acquires image data using mobile phone camera, is dealt into image recognition processing module by server connection, schemes
The information of feedback is dealt into server as identification compares, then user interface is shown, available memory stores associated picture number
It is believed that breath.
As described in Figure 1, S1 user logs in system by the plant image intelligent identifying system based on AR described in mobile phone open
System, into human-computer interaction interface.
S2 click scan, the system can obtain the permission of smart phone camera, plant is simply scanned or
Shooting.
Click after S3 is scanned with cell phone cameras or after shooting and send, in 4G, 3G, under 2G or WiFi wireless network on
Blade photo is passed to server.
After S4 blade photo upload to server, server pre-processes leaf image, then calculate to it
To parameters such as plant leaf color, geometrical characteristic parameter and textural characteristics.It is ARdEZ that this process, which mainly utilizes TuGO, TuGO,
Lab passes through the artificial intelligence engine of machine learning and deep learning Development of Framework.TuGO uses labyrinth or multiple non-linear
Transformation constitutes multiple process layers, carries out abstract algorithm to data.
S5 realizes classification and identification of the computer to image with this method for carrying out feature learning to data, then will
The sample in parameter and server database being calculated compares and analyzes to obtain the kind information of plant, will finally show
Show that the information such as title, shape, characteristic, the effect of plant are back to the mobile phone terminal page and are shown.Cell phone client, which receives, to be come
From after the botanical name of server, it can choose details and understand plant information.
Human-computer interaction interface uses AR augmented reality, and camera charge capture is really and virtual, and program is responsible for reason
Along the content of actual situation, device screen is responsible for showing the content that actual situation combines.User makes while understanding plant information
User therein must be in can carry out three-dimensional real-time, interactive with actual situation scenery in a natural manner.
The present invention carries out intelligent recognition to floristics using the plant image intelligent identifying system based on AR, is facilitating use
While family Chinese herbal medicine identifies, the development and application of cell phone software are not only extended and improve, but also mention for the development of Chinese medicine information system
Effective support is supplied.Exclusive feeling of immersion interactivity, different interactive experiences is brought to user.It is interacted by imaging, deeply
Understand plant concept, reinforces cognition effect, the present invention is with structure is simple, easy to use, recognition efficiency is high, interactivity is strong, distinguishes
The wide advantage of other floristics range.
Claims (8)
1. a kind of plant image intelligent identifying system based on AR, which is characterized in that the system of stating includes 5 modules: Image Acquisition
Module, image recognition processing module, human-computer interaction interface, memory module, server-connection module are based on smart mobile phone hardware
Platform, the memory module storage digital image data and client data, the server-connection module include connecting
Connect server network communication device, server identifier and memory.
2. the plant image intelligent identifying system according to claim 1 based on AR, which is characterized in that described image identification
Processing module includes TuGO, and TuGO is the artificial intelligence engine that ARdEZ Lab passes through machine learning and deep learning Development of Framework.
3. the plant image intelligent identifying system according to claim 2 based on AR, which is characterized in that the TuGO is absorbed in
In Chinese herbal medicine image and classification identification in kind, ARdEZ Lab is TuGO engine design and optimizes for complicated plants identification
Algorithm, while also large-scale training identification of the artificial intelligence to Chinese herbal medicine under different conditions, such as different patent medicine states and
Identification under growth period state.
4. further, artificial intelligence engine TuGO according to claim 2 uses labyrinth or multiple non-linear change
It changes and constitutes multiple process layers, abstract algorithm is carried out to data, realize and calculate with this method for carrying out feature learning to data
Classification and identification of the machine to image.
5. the plant image intelligent identifying system according to claim 1 based on AR, which is characterized in that the man-machine friendship
Mutual interface, using AR augmented reality, camera charge capture is really and virtual, and program is responsible for making the content of actual situation in order, if
Standby screen is responsible for showing the content that actual situation combines.
6. the plant image intelligent identifying system according to claim 1 based on AR, which is characterized in that the image is adopted
Collection module converts digital image data for Plant entity sample using smart phone photography, digital camera etc., uses
Static, dynamical fashion carries out picture and image acquisitions.
7. the plant image intelligent identifying system according to claim 4 based on AR, which is characterized in that the image is adopted
Collect module include click scan, the system can obtain the permission of smart phone camera, plant is simply scanned or
Shooting is clicked after being scanned with cell phone cameras or after shooting and is sent, and in 4G, 3G uploads leaf under 2G or WiFi wireless network
Piece photo is to server.
8. the plant image intelligent identifying system according to claim 1 based on AR, which is characterized in that the system comprises
AR augmented reality, user while understanding plant information, enable be in user therein in a natural manner with
Actual situation scenery carries out three-dimensional real-time, interactive.
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Cited By (4)
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CN111783667A (en) * | 2020-07-02 | 2020-10-16 | 南阳理工学院 | Traditional Chinese medicine identification system and use method thereof |
CN112417193A (en) * | 2020-08-21 | 2021-02-26 | 深圳市小樱桃实业有限公司 | Method and system for searching and identifying field cordyceps sinensis |
CN113486205A (en) * | 2021-07-06 | 2021-10-08 | 北京林业大学 | Plant science popularization information system based on augmented virtual reality technology |
CN114582201A (en) * | 2022-03-17 | 2022-06-03 | 郑州大学 | Traditional Chinese medicine visual identification system based on hyperspectral imaging and AR technology |
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CN111783667A (en) * | 2020-07-02 | 2020-10-16 | 南阳理工学院 | Traditional Chinese medicine identification system and use method thereof |
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CN114582201B (en) * | 2022-03-17 | 2023-10-10 | 郑州大学 | Traditional Chinese medicine visual identification system based on hyperspectral imaging and AR technology |
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Application publication date: 20190614 |