CN109951889A - A kind of Internet of Things matches network method and mobile terminal - Google Patents
A kind of Internet of Things matches network method and mobile terminal Download PDFInfo
- Publication number
- CN109951889A CN109951889A CN201910195017.XA CN201910195017A CN109951889A CN 109951889 A CN109951889 A CN 109951889A CN 201910195017 A CN201910195017 A CN 201910195017A CN 109951889 A CN109951889 A CN 109951889A
- Authority
- CN
- China
- Prior art keywords
- information
- image
- field information
- target
- library
- 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.)
- Granted
Links
Landscapes
- Information Transfer Between Computers (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The present invention provides a kind of Internet of Things with network method and mobile terminal, this method comprises: obtaining the first image of camera acquisition；Based on the first image, the type information of target device is determined；Based on the type information of the target device, network configuration is carried out to the target device.Internet of Things provided by the invention matches network method, the camera acquisition that user need to only enable mobile terminal can therefrom obtain the first image of the type information of target device, the barcode scanning position on target device is searched without user, will not there are problems that being unable to complete distribution because two dimensional code destroys, so that equipment reduces distribution operation difficulty with net mode, it is convenient to operate.
Description
Technical field
The present invention relates to fields of communication technology more particularly to a kind of Internet of Things to match network method and mobile terminal.
Background technique
Internet of Things (Internet of things, IoT) refers to the connected internet of object object.Internet of Things currently on the market
Product is more and more, and all internet of things equipment are required with net operation, adds Internet of Things generally by mobile terminal at present
Distribution is carried out to the equipment after net equipment.
The distribution scheme of present mainstream is WiFi distribution, in Wireless Fidelity (Wireless-Fidelity, WiFi) distribution
Soft routing (Soft Wireless Access Point, SoftAp) distribution for, internet of things equipment connects in accessing wirelessly
Access point (Wireless Access Point, AP) mode, mobile terminal are added after the AP hot spot and form local with internet of things equipment
Net, mobile terminal is again by the service set for the wireless network that need to be connected (Service Set Identifier, SSID) and close
The information such as code are sent to internet of things equipment, so that internet of things equipment is actively connected to the wireless network.
In the prior art, when carrying out WiFi distribution to internet of things equipment, need to first pass through mobile terminal addition object
The AP hot spot of target internet of things equipment is added in networked devices.Currently, there are mainly three types of equipment addition manners: barcode scanning addition is searched
Equipment near rope is added and is added by category.Wherein, in barcode scanning addition manner, since each internet of things equipment style or pattern are poor
Different larger, the position of two dimensional code is different, some equipment are difficult to quickly locate two dimensional code, and if two dimensional code be destroyed, will lead to and sweep
Addition manner is retouched not to be available.
As it can be seen that existing mobile terminal has that cumbersome, difficulty is big when carrying out distribution to internet of things equipment.
Summary of the invention
The embodiment of the present invention provides a kind of Internet of Things with network method and mobile terminal, to solve existing mobile terminal to object
The problem cumbersome when networked devices progress distribution, difficulty is big.
In order to solve the above technical problems, the present invention is implemented as follows:
In a first aspect, the embodiment of the invention provides a kind of Internet of Things to match network method, it is applied to mobile terminal, the method
Include:
Obtain the first image of camera acquisition；
Based on the first image, the type information of target device is determined；
Based on the type information of the target device, network configuration is carried out to the target device.
Second aspect, the embodiment of the present invention provide a kind of mobile terminal, comprising:
Module is obtained, for obtaining the first image of camera acquisition；
Determining module determines the type information of target device for being based on the first image；
Distribution module carries out network configuration to the target device for the type information based on the target device.
The third aspect, the embodiment of the present invention provide a kind of mobile terminal, including processor, memory and are stored in described deposit
On reservoir and the computer program that can run on the processor, the computer program are realized when being executed by the processor
Above-mentioned Internet of Things is with the step in network method.
Fourth aspect, the embodiment of the present invention provide a kind of computer readable storage medium, the computer-readable storage medium
Computer program is stored in matter, the computer program realizes above-mentioned Internet of Things with the step in network method when being executed by processor
Suddenly.
In the embodiment of the present invention, due to the first image that mobile terminal can be acquired by camera, target device is determined
Type information, so as to be based on the type information, complete to target device match net operation.In this way, user is in needs pair
When target device carries out distribution, the camera acquisition that need to only enable mobile terminal can therefrom obtain the type information of target device
The first image, without user search target device on barcode scanning position, will not exist because two dimensional code destroy due to nothing
Method completes the problem of distribution, so that equipment reduces distribution operation difficulty with net mode, it is convenient to operate.
Detailed description of the invention
Fig. 1 is the flow chart that a kind of Internet of Things provided in an embodiment of the present invention matches network method；
Fig. 2 is a kind of interface schematic diagram of equipment addition page provided in an embodiment of the present invention；
Fig. 3 is a kind of interface schematic diagram in equipment addition page display reminding message provided in an embodiment of the present invention；
Fig. 4 is the flow chart that another Internet of Things provided in an embodiment of the present invention matches network method；
Fig. 5 is a kind of flow chart of AI knowledge figure provided in an embodiment of the present invention；
Fig. 6 is a kind of flow chart of calibration equipment model provided in an embodiment of the present invention；
Fig. 7 is the flow chart that another Internet of Things provided in an embodiment of the present invention matches network method；
Fig. 8 is a kind of structural schematic diagram of mobile terminal provided in an embodiment of the present invention；
Fig. 9 is a kind of structural schematic diagram of the determining module of mobile terminal provided in an embodiment of the present invention；
Figure 10 is a kind of structural schematic diagram of mobile terminal provided in an embodiment of the present invention stator modules really；
Figure 11 is a kind of structural schematic diagram of the extraction unit of mobile terminal provided in an embodiment of the present invention；
Figure 12 is a kind of structural schematic diagram of the determination unit of mobile terminal provided in an embodiment of the present invention；
Figure 13 is a kind of hardware structural diagram of mobile terminal provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
It is the flow chart that a kind of Internet of Things provided in an embodiment of the present invention matches network method referring to Fig. 1, Fig. 1, is applied to movement
Terminal, as shown in Figure 1, the described method comprises the following steps:
Step 101, the first image for obtaining camera acquisition.
Above-mentioned target device can be any internet of things equipment, such as be equipped with intelligent appliance, the intelligent automobile, intelligence of network module
Energy mobile device etc..
In the embodiment of the present invention, when preparing to carry out distribution to target device, the camera of mobile terminal can be first passed through
Acquisition can therefrom identify the first image of the type information of target device, for example, alignment target equipment is scanned, to obtain
The first image including the target device specifically can be the intelligence added on the page by the equipment of touch-control mobile terminal
Can AI know object option, come trigger mobile terminal open AI know object function so that mobile terminal enable camera to target device into
Row scanning, or special sound instruction can need to be only inputted in conjunction with the AI phonetic function of mobile terminal, user, movement can be waken up
Terminal enables AI and knows object function.
Such as: as shown in Fig. 2, the equipment addition page 20 of mobile terminal not only shows and existing scan the two-dimensional code connection and set
Alternate item 21, neighbouring device option 22 and by category add option 23, also show AI know object option 24, in this way, user can
It triggers the AI of mobile terminal to select AI to know object option 24 and knows object function.
Step 102 is based on the first image, determines the type information of target device.
In the step, the type information of the target device can be determined by identification the first image, specifically,
It can be the external appearance characteristic of the target device characterized by the first image, search for existing announced object to network
Have the equipment of similar appearance feature in networked devices with the first image, and then obtains the model letter of the target device
Breath, or can also identify with the presence or absence of descriptive text information in the first image, in case of presence described in extraction
Key message in descriptive text information, such as generation manufacturer, category or the device model information of the target device, and root
The type information of the target device is further determined that according to the key message in the descriptive text information.
Step 103, the type information based on the target device carry out network configuration to the target device.
After identification obtains the type information of the target device, network configuration can be carried out to the target device,
Specifically, after the model for determining the target device, the distribution information of the target device can be obtained, as equipment makes
With net mode (including Wi-Fi hotspot, WiFi connect fastly or bluetooth etc. is with net mode), then matching according to the target device
Net information carries out network configuration to the target device.
Such as: if the target device is Wi-Fi hotspot distribution with net mode, the available target device
The Wi-Fi hotspot of the target device is added in Wi-Fi hotspot title, establishes and communicates to connect with the target device, then will be required
The SSID and password of the wireless network of connection are sent to the target device so that the target device be actively connected to it is corresponding
Wireless network；
If the target device with net mode be bluetooth distribution, the bluetooth title of the available target device,
Bluetooth communication is established with the target device to connect, and is then sent to the SSID of the wireless network of required connection and password described
Target device, so that the target device is actively connected to corresponding wireless network；
If the target device with net mode be WiFi connect distribution fastly, can send carry wireless network SSID and
User Datagram Protocol (User Datagram Protocol, UDP) broadcast packet of password, the target device can then be monitored
And udp broadcast packet is parsed, to be directly connected to corresponding wireless network.
It should be noted that being such as more than pre- if carrying out type identifier failure to the target device by the first image
If the type information of the unidentified target device out of duration, then can export prompting message, to prompt user's alternative one to set
Standby addition manner, for example, as shown in figure 3, the equipment addition display of the page 30 in mobile terminal identifies unsuccessful prompting message
31。
In the embodiment of the present invention, above-mentioned mobile terminal can be any equipment with storaging medium, such as: computer
(Computer), mobile phone, tablet computer (Tablet Personal Computer), laptop computer (Laptop
Computer), personal digital assistant (Personal Digital Assistant, abbreviation PDA), mobile Internet access device
The terminal devices such as (Mobile Internet Device, abbreviation MID) or wearable device (Wearable Device).
Internet of Things in the present embodiment matches network method, due to the first image that mobile terminal can be acquired by camera,
It determines the type information of target device, so as to be based on the type information, completes to match net operation to target device.In this way,
When needing to carry out distribution to target device, the camera acquisition that need to only enable mobile terminal can therefrom obtain target and set user
First image of standby type information searches the barcode scanning position on target device without user, will not exist because of two
The problem of dimension code destroys and is unable to complete distribution, so that equipment reduces distribution operation difficulty with net mode, it is convenient to operate.
Referring to fig. 4, Fig. 4 is the flow chart that another Internet of Things provided in an embodiment of the present invention matches network method, is applied to move
Dynamic terminal on the basis of the present embodiment embodiment shown in Fig. 1, to the first image is based on, determines the type of target device
The step of number information, is refined, so that the apparent tool of embodiment of the type information by the first image recognition apparatus
Body.As shown in figure 4, the described method comprises the following steps:
Step 401, the first image for obtaining camera acquisition.
The specific embodiment of the step may refer to the embodiment of step 101 in embodiment of the method shown in FIG. 1, be
It avoids repeating, which is not described herein again.
Step 402 matches the first image with the image in target picture library, wherein in the target picture library
It is previously stored with the image of different internet of things equipment, and the wherein corresponding device descriptive information of the equal associated storage of every image.
Optionally, the step 402 includes:
Obtain the priority of every image in target picture library；
It by the image in the first image and the target picture library, successively compares, determines according to the priority
It is greater than the second image of preset threshold in the target picture library with the similarity of the first image.
In the embodiment, further to shorten the images match time, to guarantee quickly to identify the target device
Type information, can be according to the priority of every image in the target picture library, by the first image and the target
Image in picture library is successively compared according to the priority, specifically, can be first by the first image and the target
The image of highest priority compares in picture library, obtains corresponding similarity, if similarity is lower than preset threshold, then it is assumed that
It is compared with unsuccessful, then by the image that the first image is taken second place with priority in the target picture library, until determining institute
State the second image for being greater than preset threshold in target picture library with the similarity of the first image, i.e. successful match, wherein described
Preset threshold can be 80%, 90% or 95% etc., can specifically be set according to accuracy demand and actual test.
Wherein, the priority of every image can be Time To Market, sales volume according to corresponding equipment in the target picture library
The information such as seniority among brothers and sisters determine that, if the Time To Market of certain equipment is about new, sales volume seniority among brothers and sisters is higher, the image of the equipment is in the target picture library
In priority it is higher.In this way, the picture library capacity compared needed for not only can effectively reducing, without matching the uncorrelated figure of magnanimity
Picture, moreover it is possible to greatly shorten images match time-consuming, significantly improve the efficiency and accuracy of knowledge figure.
For example, as shown in figure 5, cloud can be searched by crawler technology from electric business channel, official website channel or other channels etc.
Collect the information such as the product picture, Time To Market and sale temperature of each internet of things equipment, the image for each equipment that then will acquire
It is ranked up by Time To Market and sale temperature, that is, determines comparison priority, and the image of each equipment is stored in AI picture library,
Mobile terminal knows figure in progress AI can be by the image of the equipment when passing through the model of the image recognition of certain equipment equipment
It is compared with the image in AI picture library according to identified priority, finally determines the second matching image.
It should be noted that for the accuracy for guaranteeing images match similar pictures searching algorithm can be used, such as mean value Hash
Algorithm, perceptual hash algorithm or difference hash algorithm etc. carry out the image in the first image and the target picture library
Comparison preferably can carry out image comparison by perceptual hash algorithm to further increase matched accuracy.Implement principle
For, " fingerprint " character string is generated respectively to image to be compared in the first image and the target picture library, it is then right
Than the fingerprint of different images, fingerprint is more similar, shows that this two images are more similar.
Step 403 obtains equipment description corresponding with matched second image of the first image in the target picture library
Information.
Step 404, according to the corresponding device descriptive information of second image, determine the model letter of the target device
Breath.
Above-mentioned target picture library can be the picture library of the picture for collecting existing internet of things equipment of cloud foundation, for example,
Cloud can be used crawler technology and crawl each internet of things equipment from the official website of each device manufacturer, electric business platform or other platforms
Picture and corresponding device descriptive information, and the picture crawled is stored in target picture library.
In this way, after obtaining the first image of the target device by scanning, it can be by the first image and institute
The image stated in target picture library is matched, in the determination target picture library with matched second image of the first image,
Specifically, it can be and first pass through the external appearance characteristic of the first image and determine corresponding device manufacturer and category, then by described
One image is compared with the image for belonging to corresponding device manufacturer and category in the target picture library respectively, obtains first figure
As the matching degree with each image, then determine wherein to be more than preset threshold or matching degree highest with the matching degree of the first image
The second image.
It, can be from pre-stored in determining the target picture library and after matched second image of the first image
In the target picture library in the corresponding device descriptive information of every image, the corresponding equipment description letter of second image is obtained
It ceases, and then determines the type information of the target device according to the device descriptive information, specifically, since each object is being collected in cloud
When the image of networked devices, corresponding equipment can be obtained simultaneously comprising corresponding device descriptive information or cloud in each image
Description information can category, model or other parameters etc. to specific equipment as in the product description of equipment official website or electric business platform
It describes in detail, so that cloud is available to arrive the corresponding device descriptive information of equipment image, therefore, mobile terminal can be from
The type information of the target device is extracted in the corresponding device descriptive information of second image.
Optionally, the step 404 includes:
Critical field information is extracted from the corresponding device descriptive information of second image, wherein the critical field
Information includes at least device model field information；
According to the critical field information, the type information of the target device is determined.
In the embodiment, by the corresponding device descriptive information of second image, the target device is determined
When type information, it can be and extract from the corresponding device descriptive information of second image including device model field information
Critical field information, so as to determine the type information of the target device by the device model field information, specifically,
Critical field information can be extracted from the corresponding device descriptive information of second image using NER algorithm, more specifically, can
To be that the corresponding device descriptive information of second image is uploaded to natural language understanding (Natural Language
Understanding, NLU) cloud service, which is extracted from the device descriptive information using NER algorithm
Including the critical fielies information such as device manufacturer, category, model.
Wherein, the NER algorithm can learn boosting algorithm accuracy by trained and AI, to guarantee to retouch from the equipment
It states and accurately extracts critical field information in information, the critical field information can include at least device model field and believe
Breath, can also include device manufacturer's field information or equipment category information etc..In this way, can rapidly and accurately be retouched from the equipment
Extraction critical field information in information is stated, and then obtains the type information of the target device.
Optionally, the critical field information further includes device manufacturer's field information；
It is described that critical field information is extracted from the corresponding device descriptive information of second image, comprising:
From the corresponding device descriptive information of second image, extract equipment manufacturer field information；
According to device manufacturer's field information, the device manufacturer of the target device is determined；
From the corresponding device descriptive information of second image, the model name rule for meeting the device manufacturer is extracted
Device model field information.
Since the extraction of device manufacturer's field information is relatively easy to compared to device model field information, accuracy is higher,
And there is respective type design rule in distinct device manufacturer substantially, therefore, in the embodiment, to improve device model field
The extraction efficiency and accuracy of information, can the first extract equipment manufacturer word from second image corresponding device descriptive information
Segment information, with the device manufacturer of the determination target device, then according to the model name of the device manufacturer obtained in advance
Rule extracts the device model word for meeting the model name rule from the corresponding device descriptive information of second image
Segment information.
For example, the model name rule of certain device manufacturer is the character string being made of letter, numbers and symbols "-", and accord with
Number "-" is usually located at the centre of character string, and such as " KJ500G-A11 ", therefore, can extract from device descriptive information includes company
The field of continuous letter, numbers and symbols "-"；In another example the naming rule of another device manufacturer is made of letter and number
Character string, and include space character among character string, such as " ACF 10013B " therefore can extract packet from device descriptive information
Include the field of letter, number and space character.
In this way, device model field information can not only be relatively rapid extracted from the device descriptive information, and
And also ensure that extracted device model field information has higher accuracy.
Optionally, described according to the critical field information, determine the type information of the target device, comprising:
From the product information library in cloud, the device model with the critical field information matches is searched；
It will be determined as the mesh with the highest device model of critical field information matches degree in the product information library
The type information of marking device；
Wherein, preparatory typing has the type informations of different internet of things equipment in the product information library.
The said goods information bank can be the database of the information for including different internet of things equipment of cloud foundation, example
Such as, the type information of internet of things equipment can be entered into IoT product information library by developer by IoT cloud platform.The implementation
In mode, for the accuracy for being further ensured that the extracted device model information from the device descriptive information, it can pass through
The product information library in cloud verifies extracted device model information.
Specifically, the device model with the critical field information matches, example can be searched from the product information library
Such as, it searches and device model field information, device manufacturer's field information and the equipment category field in the critical field information
The matched device model of at least one of information etc., and calculate matching degree, then by the product information library, with the key
The highest device model of field information matching degree is determined as the type information of the target device.
In this way, by using the correct device model recorded in the product information library in cloud, to the critical field
Device model in information is verified, can be to avoid the device model field information in the critical field information at the extraction
There are the mistakes of individual characters, and lead to the device model for getting mistake, and then identified device model can be improved
Accuracy.
Optionally, the critical field information includes device manufacturer's field information, equipment category field information and equipment type
Number field information；
In the product information library from cloud, the device model with the critical field information matches is searched, comprising:
From the product information library in cloud, search and device manufacturer's field information in the critical field information, equipment
Category field information and matched first device model of device model field information；
It is described to be determined as institute with the highest device model of critical field information matches degree in the product information library
State the type information of target device, comprising:
From being found in the product information library and device manufacturer's field information in the critical field information, equipment
In the case where category field information and matched first device model of device model field information, by first device model
It is determined as the type information of the target device.
In the embodiment, the critical field information extracted from the device descriptive information includes device manufacturer's field letter
Breath, equipment category field information and device model field information, to further ensure that the accurate of extracted device model information
Property, can with as shown in fig. 6, first in conjunction with device manufacturer, equipment category and the device model in the critical field information these three
Information is searched matched with the device manufacturer, equipment category and device model as term from IoT product information library
First device model.
If from being found in the product information library and device manufacturer's field information in the critical field information, equipment
Category field information and matched first device model of device model field information, then can be directly by first equipment type
Number it is determined as the type information of the target device
In this way, in the embodiment, by conjunction with device manufacturer's field information, the equipment in the critical field information
Class field information and device model field information verify the device model of the extracted target device, can be quick
Exclude in the product information library with the unmatched device model of at least one of the critical field information, and then fast lock
In the fixed product information library with the matched device model of the critical field information so that the identified target device
Type information have higher accuracy.
Optionally, described will be true with the highest device model of critical field information matches degree in the product information library
It is set to the type information of the target device, comprising:
From do not found in the product information library in the critical field information device manufacturer's field information, set
In the case where spare unit class field information and matched first device model of device model field information, from the product information library
In, it searches and device manufacturer's field information and at least one matched second equipment type of the equipment category field information
Number；
By third device model indicated by the device model field information and at least one described second device model
Each of the second device model carry out similarity-rough set respectively；
Will at least one described second device model with highest second equipment type of the third device model similarity
Number it is determined as the type information of the target device.
In the embodiment, as shown in fig. 6, if not found from the product information library and the critical field information
In matched first device model of device manufacturer's field information, equipment category field information and device model field information,
Then can only using in the critical field information device manufacturer and the two information of equipment category be used as term, from IoT production
It is searched in product information bank with the device manufacturer and at least one matched second device model of equipment category to get to matching
Model list.
Then similarity of character string algorithm can be used, by third equipment type indicated by the device model field information
Number similarity-rough set is carried out respectively with each of at least one second device model the second device model, obtain described
The similarity of three device models and each second device model；Finally, can be from least one described second device model
In, determining and highest second device model of the third device model similarity, and as the type of the target device
Number information.
In this way, in the embodiment, by conjunction with the different field information in the critical field information to extracted
The device model of the target device is verified, line character string similarity-rough set of going forward side by side, can be to avoid from device descriptive information
In extracted device model field information there are error, guarantee the type information of the target device finally determined more subject to
Really.
Step 405, based on the type information of the identified target device, network is carried out to the target device and is matched
It sets.
The specific embodiment of the step may refer to the embodiment of step 103 in embodiment of the method shown in FIG. 1, be
It avoids repeating, which is not described herein again.
In the present embodiment, by will include that the image of target device is matched with the image in target picture library, Ke Yicong
The type information of target device is determined in the corresponding device descriptive information of matched second image, so that user need to only use movement
Terminal is scanned the target device, just can obtain the type information of the target device, and then complete to target device
Match net operation so that with net mode reduce distribution operation difficulty, operate it is convenient.
In addition, the embodiment of plurality of optional is also added on the basis of the present embodiment embodiment shown in Fig. 1, these
Optional embodiment can be combined with each other realizations, can also be implemented separately, and be attained by and reduce equipment with net mode to match
Net operation difficulty operates convenient and fast technical effect.
Below with reference to Fig. 7, the specific implementation process of the embodiment of the present invention is illustrated:
Firstly, user can click addition equipment from mobile terminal, then AI is selected to know object function choosing-item, mobile terminal
It enables wisdom and knows figure function, using AI image similarity algorithm, will scan in the image and cloud AI picture library that target device obtains
Image matched；
After successful match, using NER algorithm, critical field is extracted from the corresponding equipment descriptive text of matched image
Information, such as device manufacturer, device class, device model field information；Wherein, if wisdom knows figure failure, prompt letter is exported
Breath, to prompt user to add equipment by other means；
It will extract in the field informations, with IoT product database such as obtained device manufacturer, device class, device model again
IoT product type carry out matching verification；
If verifying successfully, the type information of the target device determining according to verification carries out distribution to target device.
It is a kind of structural schematic diagram of mobile terminal provided in an embodiment of the present invention referring to Fig. 8, Fig. 8, as shown in figure 8, moving
Moving terminal 800 includes:
Module 801 is obtained, for obtaining the first image of camera acquisition；
Determining module 802 determines the type information of target device for being based on the first image；
Distribution module 803 carries out network to the target device and matches for the type information based on the target device
It sets.
Optionally, as shown in figure 9, determining module 802 includes:
Matched sub-block 8021, for matching the first image with the image in target picture library, wherein described
The image of different internet of things equipment is previously stored in target picture library, and wherein the corresponding equipment of the equal associated storage of every image is retouched
State information；
Acquisition submodule 8022, it is corresponding with matched second image of the first image in the target picture library for obtaining
Device descriptive information；
Submodule 8023 is determined, for determining that the target is set according to the corresponding device descriptive information of second image
Standby type information.
Optionally, the matched sub-block 8021 is specifically used for obtaining the priority of every image in target picture library；By institute
The image in the first image and the target picture library is stated, is successively compared according to the priority, determines the target picture library
In be greater than the second image of preset threshold with the similarity of the first image.
Optionally, as shown in Figure 10, determine that submodule 8023 includes:
Extraction unit 80231, for extracting critical field information from the corresponding device descriptive information of second image,
Wherein, the critical field information includes at least device model field information；
Determination unit 80232, for determining the type information of the target device according to the critical field information.
Optionally, the critical field information further includes device manufacturer's field information；
As shown in figure 11, extraction unit 80231 includes:
First extracts subelement 802311, is used for the extract equipment from second image corresponding device descriptive information
Manufacturer's field information；
First determines subelement 802312, for determining the target device according to device manufacturer's field information
Device manufacturer；
Second extracts subelement 802313, for from the corresponding device descriptive information of second image, extraction to meet
The device model field information of the model name rule of the device manufacturer.
Optionally, as shown in figure 12, determination unit 80232 includes:
Subelement 802321 is searched, for searching and the critical field information matches from the product information library in cloud
Device model；
Second determine subelement 802322, for by the product information library with the critical field information matches degree most
High device model is determined as the type information of the target device；
Wherein, preparatory typing has the type informations of different internet of things equipment in the product information library.
Optionally, the critical field information includes device manufacturer's field information, equipment category field information and equipment type
Number field information；
Search subelement 802321 be specifically used for from the product information library in cloud, search with the critical field information
In matched first device model of device manufacturer's field information, equipment category field information and device model field information；
Second determines that subelement 802322 is specifically used for finding and the critical field from the product information library
Matched first equipment type of device manufacturer's field information, equipment category field information and device model field information in information
In the case where number, first device model is determined as to the type information of the target device.
Optionally, second determine subelement 802322 be specifically used for do not found from the product information library with it is described
Device manufacturer's field information, equipment category field information and device model field information matched in critical field information
In the case where one device model, from the product information library, search and device manufacturer's field information and the equipment
At least one matched second device model of class field information；
By third device model indicated by the device model field information and at least one described second device model
Each of the second device model carry out similarity-rough set respectively；
Will at least one described second device model with highest second equipment type of the third device model similarity
Number it is determined as the type information of the target device.
Mobile terminal 800 can be realized each process that mobile terminal is realized in the embodiment of the method for Fig. 1, Fig. 2 and Fig. 7,
To avoid repeating, which is not described herein again.The first figure that the mobile terminal 800 of the embodiment of the present invention can be acquired by camera
Picture identifies the type information of target device, so as to be based on the type information, completes to match net operation to target device.This
Sample, when needing to carry out distribution to target device, the camera acquisition that need to only enable mobile terminal 800 can be obtained therefrom user
First image of the type information of target device is searched the barcode scanning position on target device without user, will not be deposited
The problem of being unable to complete distribution because of two dimensional code destruction, so that equipment reduces distribution operation difficulty with net mode, it is convenient to operate.
A kind of hardware structural diagram of Figure 13 mobile terminal of each embodiment to realize the present invention, the mobile terminal
1300 include but is not limited to: radio frequency unit 1301, network module 1302, audio output unit 1303, input unit 1304, sensing
Device 1305, display unit 1306, user input unit 1307, interface unit 1308, memory 1309, processor 1310 and
The components such as power supply 1311.It will be understood by those skilled in the art that mobile terminal structure shown in Figure 13 is not constituted to movement
The restriction of terminal, mobile terminal may include perhaps combining certain components or different than illustrating more or fewer components
Component layout.In embodiments of the present invention, mobile terminal includes but is not limited to mobile phone, tablet computer, laptop, palm electricity
Brain, car-mounted terminal, wearable device and pedometer etc..
Wherein, processor 1310, for obtaining the first image of camera acquisition；
Based on the first image, the type information of target device is determined；
Based on the type information of the target device, network configuration is carried out to the target device.
Optionally, processor 1310 is also used to:
The first image is matched with the image in target picture library, wherein be stored in advance in the target picture library
There is the image of different internet of things equipment, and the wherein corresponding device descriptive information of the equal associated storage of every image；
Obtain device descriptive information corresponding with matched second image of the first image in the target picture library；
According to the corresponding device descriptive information of second image, the type information of the target device is determined.
Optionally, processor 1310 is also used to:
The priority for obtaining every image in target picture library, by the image in the first image and the target picture library,
It is successively compared according to the priority, determines and be greater than default threshold in the target picture library with the similarity of the first image
Second image of value.
Optionally, processor 1310 is also used to:
Critical field information is extracted from the corresponding device descriptive information of second image, wherein the critical field
Information includes at least device model field information；
According to the critical field information, the type information of the target device is determined.
Optionally, the critical field information further includes device manufacturer's field information；
Processor 1310 is also used to:
From the corresponding device descriptive information of second image, extract equipment manufacturer field information；
According to device manufacturer's field information, the device manufacturer of the target device is determined；
From the corresponding device descriptive information of second image, the model name rule for meeting the device manufacturer is extracted
Device model field information.
Optionally, processor 1310 is also used to:
From the product information library in cloud, the device model with the critical field information matches is searched；
It will be determined as the mesh with the highest device model of critical field information matches degree in the product information library
The type information of marking device；
Wherein, preparatory typing has the type informations of different internet of things equipment in the product information library.
Optionally, the critical field information includes device manufacturer's field information, equipment category field information and equipment type
Number field information；
Processor 1310 is also used to:
From the product information library in cloud, search and device manufacturer's field information in the critical field information, equipment
Category field information and matched first device model of device model field information；
From being found in the product information library and device manufacturer's field information in the critical field information, equipment
In the case where category field information and matched first device model of device model field information, by first device model
It is determined as the type information of the target device.
Optionally, processor 1310 is also used to:
From do not found in the product information library be not present and device manufacturer's field in the critical field information
In the case where matched first device model of information, equipment category field information and device model field information, from the production
In product information bank, search with device manufacturer's field information and the equipment category field information it is matched at least one the
Two device models；
By third device model indicated by the device model field information and at least one described second device model
Each of the second device model carry out similarity-rough set respectively；
Will at least one described second device model with highest second equipment type of the third device model similarity
Number it is determined as the type information of the target device.
Mobile terminal 1300 can be realized each process that mobile terminal is realized in previous embodiment, to avoid repeating, this
In repeat no more.The first image that the mobile terminal 1300 of the embodiment of the present invention can be acquired by camera, identification target are set
Standby type information is completed to match net operation to target device so as to be based on the type information.In this way, user is needing
When carrying out distribution to target device, the camera acquisition that need to only enable mobile terminal 800 can therefrom obtain the type of target device
First image of number information searches the barcode scanning position on target device without user, will not exist because two dimensional code is broken
The problem of being badly unable to complete distribution, so that equipment reduces distribution operation difficulty with net mode, it is convenient to operate.
It should be understood that the embodiment of the present invention in, radio frequency unit 1301 can be used for receiving and sending messages or communication process in, signal
Send and receive, specifically, by from base station downlink data receive after, to processor 1310 handle；In addition, by uplink
Data are sent to base station.In general, radio frequency unit 1301 includes but is not limited to antenna, at least one amplifier, transceiver, coupling
Device, low-noise amplifier, duplexer etc..In addition, radio frequency unit 1301 can also by wireless communication system and network and other
Equipment communication.
Mobile terminal provides wireless broadband internet by network module 1302 for user and accesses, and such as user is helped to receive
It sends e-mails, browse webpage and access streaming video etc..
Audio output unit 1303 can be received by radio frequency unit 1301 or network module 1302 or in memory
The audio data stored in 1309 is converted into audio signal and exports to be sound.Moreover, audio output unit 1303 can be with
Audio output relevant to the specific function that mobile terminal 1300 executes is provided (for example, call signal receives sound, message sink
Sound etc.).Audio output unit 1303 includes loudspeaker, buzzer and receiver etc..
Input unit 1304 is for receiving audio or video signal.Input unit 1304 may include graphics processor
(Graphics Processing Unit, abbreviation GPU) 13041 and microphone 13042, graphics processor 13041 is in video
The picture number of the static images or video that are obtained in acquisition mode or image capture mode by image capture apparatus (such as camera)
According to being handled.Treated, and picture frame may be displayed on display unit 1306.Through graphics processor 13041 treated figure
As frame can store in memory 1309 (or other storage mediums) or via radio frequency unit 1301 or network module 1302
It is sent.Microphone 13042 can receive sound, and can be audio data by such acoustic processing.Treated
Audio data can be converted in the case where telephone calling model to be sent to mobile communication base station via radio frequency unit 1301
Format output.
Mobile terminal 1300 further includes at least one sensor 1305, for example, optical sensor, motion sensor and other
Sensor.Specifically, optical sensor includes ambient light sensor and proximity sensor, wherein ambient light sensor can be according to ring
The light and shade of border light adjusts the brightness of display panel 13061, proximity sensor can when mobile terminal 1300 is moved in one's ear,
Close display panel 13061 and/or backlight.As a kind of motion sensor, accelerometer sensor can detect in all directions
The size of (generally three axis) acceleration, can detect that size and the direction of gravity, can be used to identify mobile terminal appearance when static
State (such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, percussion)
Deng；Sensor 1305 can also include fingerprint sensor, pressure sensor, iris sensor, molecule sensor, gyroscope, gas
Meter, hygrometer, thermometer, infrared sensor etc. are pressed, details are not described herein.
Display unit 1306 is for showing information input by user or being supplied to the information of user.Display unit 1306 can
Including display panel 13061, liquid crystal display (Liquid Crystal Display, abbreviation LCD), organic light emission can be used
The forms such as diode (Organic Light-Emitting Diode, abbreviation OLED) configure display panel 13061.
User input unit 1307 can be used for receiving the number or character information of input, and generate the use with mobile terminal
Family setting and the related key signals input of function control.Specifically, user input unit 1307 include touch panel 13071 with
And other input equipments 13072.Touch panel 13071, also referred to as touch screen collect the touch behaviour of user on it or nearby
Make (for example user uses any suitable objects or attachment such as finger, stylus on touch panel 13071 or in touch panel
Operation near 13071).Touch panel 13071 may include both touch detecting apparatus and touch controller.Wherein, it touches
The touch orientation of detection device detection user is touched, and detects touch operation bring signal, transmits a signal to touch controller；
Touch controller receives touch information from touch detecting apparatus, and is converted into contact coordinate, then gives processor 1310,
It receives the order that processor 1310 is sent and is executed.Furthermore, it is possible to using resistance-type, condenser type, infrared ray and surface
The multiple types such as sound wave realize touch panel 13071.In addition to touch panel 13071, user input unit 1307 can also include
Other input equipments 13072.Specifically, other input equipments 13072 can include but is not limited to physical keyboard, function key (ratio
Such as volume control button, switch key), trace ball, mouse, operating stick, details are not described herein.
Further, touch panel 13071 can be covered on display panel 13061, when touch panel 13071 detects
After touch operation on or near it, processor 1310 is sent to determine the type of touch event, is followed by subsequent processing device 1310
Corresponding visual output is provided on display panel 13061 according to the type of touch event.Although in Figure 13, touch panel
13071 and display panel 13061 are the functions that outputs and inputs of realizing mobile terminal as two independent components, but
In some embodiments, touch panel 13071 can be integrated with display panel 13061 and realize outputting and inputting for mobile terminal
Function, specifically herein without limitation.
Interface unit 1308 is the interface that external device (ED) is connect with mobile terminal 1300.For example, external device (ED) may include
Wired or wireless headphone port, external power supply (or battery charger) port, wired or wireless data port, storage card
Port, port, the port audio input/output (I/O), video i/o port, earphone for connecting the device with identification module
Port etc..Interface unit 1308 can be used for receiving the input (for example, data information, electric power etc.) from external device (ED) simultaneously
And by one or more elements that the input received is transferred in mobile terminal 1300 or it can be used in mobile terminal
Data are transmitted between 1300 and external device (ED).
Memory 1309 can be used for storing software program and various data.Memory 1309 can mainly include storage program
Area and storage data area, wherein storing program area can application program needed for storage program area, at least one function (such as
Sound-playing function, image player function etc.) etc.；Storage data area, which can be stored, uses created data (ratio according to mobile phone
Such as audio data, phone directory) etc..In addition, memory 1309 may include high-speed random access memory, it can also include non-
Volatile memory, for example, at least a disk memory, flush memory device or other volatile solid-state parts.
Processor 1310 is the control centre of mobile terminal, utilizes each of various interfaces and the entire mobile terminal of connection
A part by running or execute the software program and/or module that are stored in memory 1309, and calls and is stored in storage
Data in device 1309 execute the various functions and processing data of mobile terminal, to carry out integral monitoring to mobile terminal.Place
Managing device 1310 may include one or more processing units；Preferably, processor 1310 can integrate application processor and modulation /demodulation
Processor, wherein the main processing operation system of application processor, user interface and application program etc., modem processor master
Handle wireless communication.It is understood that above-mentioned modem processor can not also be integrated into processor 1310.
Mobile terminal 1300 can also include the power supply 1311 (such as battery) powered to all parts, it is preferred that power supply
1311 can be logically contiguous by power-supply management system and processor 1310, to realize that management is filled by power-supply management system
The functions such as electricity, electric discharge and power managed.
In addition, mobile terminal 1300 includes some unshowned functional modules, details are not described herein.
Preferably, the embodiment of the present invention also provides a kind of mobile terminal, including processor 1310, memory 1309, storage
On memory 1309 and the computer program that can run on the processor 1310, the computer program is by processor 1310
Each process of above-mentioned Internet of Things distribution embodiment of the method is realized when execution, and can reach identical technical effect, to avoid weight
Multiple, which is not described herein again.
The embodiment of the present invention also provides a kind of computer readable storage medium, and meter is stored on computer readable storage medium
Calculation machine program, the computer program realize each process of above-mentioned Internet of Things distribution embodiment of the method when being executed by processor, and
Identical technical effect can be reached, to avoid repeating, which is not described herein again.Wherein, the computer readable storage medium, such as
Read-only memory (Read-Only Memory, abbreviation ROM), random access memory (Random Access Memory, abbreviation
RAM), magnetic or disk etc..
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the device that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or device institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or device.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage medium
In (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal (can be mobile phone, computer, service
Device, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The embodiment of the present invention is described with above attached drawing, but the invention is not limited to above-mentioned specific
Embodiment, the above mentioned embodiment is only schematical, rather than restrictive, those skilled in the art
Under the inspiration of the present invention, without breaking away from the scope protected by the purposes and claims of the present invention, it can also make very much
Form belongs within protection of the invention.
Claims (11)
1. a kind of Internet of Things matches network method, it is applied to mobile terminal, which is characterized in that the described method includes:
Obtain the first image of camera acquisition；
Based on the first image, the type information of target device is determined；
Based on the type information of the target device, network configuration is carried out to the target device.
2. determining target device the method according to claim 1, wherein described be based on the first image
Type information, comprising:
The first image is matched with the image in target picture library, wherein be previously stored with not in the target picture library
With the image of internet of things equipment, and the wherein corresponding device descriptive information of the equal associated storage of every image；
Obtain device descriptive information corresponding with matched second image of the first image in the target picture library；
According to the corresponding device descriptive information of second image, the type information of the target device is determined.
3. according to the method described in claim 2, it is characterized in that, the image by the first image and target picture library
It is matched, comprising:
Obtain the priority of every image in target picture library；
It by the image in the first image and the target picture library, is successively compared according to the priority, described in determination
It is greater than the second image of preset threshold in target picture library with the similarity of the first image.
4. according to the method in claim 2 or 3, which is characterized in that described to be retouched according to the corresponding equipment of second image
Information is stated, determines the type information of the target device, comprising:
Critical field information is extracted from the corresponding device descriptive information of second image, wherein the critical field information
Including at least device model field information；
According to the critical field information, the type information of the target device is determined.
5. according to the method described in claim 4, it is characterized in that, the critical field information further includes device manufacturer's field letter
Breath；
It is described that critical field information is extracted from the corresponding device descriptive information of second image, comprising:
From the corresponding device descriptive information of second image, extract equipment manufacturer field information；
According to device manufacturer's field information, the device manufacturer of the target device is determined；
From the corresponding device descriptive information of second image, setting for the model name rule for meeting the device manufacturer is extracted
Standby model number field information.
6. according to the method described in claim 4, determining the mesh it is characterized in that, described according to the critical field information
The type information of marking device, comprising:
From the product information library in cloud, the device model with the critical field information matches is searched；
It is set the target is determined as with the highest device model of critical field information matches degree in the product information library
Standby type information；
Wherein, preparatory typing has the type informations of different internet of things equipment in the product information library.
7. according to the method described in claim 6, it is characterized in that, the critical field information includes device manufacturer's field letter
Breath, equipment category field information and device model field information；
In the product information library from cloud, the device model with the critical field information matches is searched, comprising:
From the product information library in cloud, search and device manufacturer's field information in the critical field information, equipment category
Field information and matched first device model of device model field information；
It is described to be determined as the mesh with the highest device model of critical field information matches degree in the product information library
The type information of marking device, comprising:
From being found in the product information library and device manufacturer's field information in the critical field information, equipment category
In the case where field information and matched first device model of device model field information, first device model is determined
For the type information of the target device.
8. the method according to the description of claim 7 is characterized in that it is described by the product information library with the critical field
The highest device model of information matches degree is determined as the type information of the target device, comprising:
From not found in the product information library and device manufacturer's field information, the equipment in the critical field information
In the case where class field information and matched first device model of device model field information, from the product information library,
It searches and device manufacturer's field information and at least one matched second device model of the equipment category field information；
It will be in third device model indicated by the device model field information and at least one described second device model
Each second device model carries out similarity-rough set respectively；
It will be true with highest second device model of the third device model similarity at least one described second device model
It is set to the type information of the target device.
9. a kind of mobile terminal characterized by comprising
Module is obtained, for obtaining the first image of camera acquisition；
Determining module determines the type information of target device for being based on the first image；
Distribution module carries out network configuration to the target device for the type information based on the target device.
10. a kind of mobile terminal, which is characterized in that including processor, memory and be stored on the memory and can be in institute
The computer program run on processor is stated, such as claim 1 to 8 is realized when the computer program is executed by the processor
Any one of described in Internet of Things with the step in network method.
11. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program realizes such as Internet of Things distribution side described in any item of the claim 1 to 8 when the computer program is executed by processor
Step in method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910195017.XA CN109951889B (en) | 2019-03-14 | 2019-03-14 | Internet of things network distribution method and mobile terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910195017.XA CN109951889B (en) | 2019-03-14 | 2019-03-14 | Internet of things network distribution method and mobile terminal |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109951889A true CN109951889A (en) | 2019-06-28 |
| CN109951889B CN109951889B (en) | 2022-07-15 |
Family
ID=67009856
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910195017.XA Active CN109951889B (en) | 2019-03-14 | 2019-03-14 | Internet of things network distribution method and mobile terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109951889B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111447624A (en) * | 2020-03-04 | 2020-07-24 | 浙江大华技术股份有限公司 | WiFi equipment, network distribution method thereof and device with storage function |
| CN113570341A (en) * | 2021-07-30 | 2021-10-29 | 国网电子商务有限公司 | Distribution network equipment information input method and device |
| CN114302480A (en) * | 2021-11-26 | 2022-04-08 | 杭州博联智能科技股份有限公司 | Method, system, device and medium for intelligent equipment batch network distribution based on Bluetooth |
| CN114630396A (en) * | 2021-12-31 | 2022-06-14 | 厦门阳光恩耐照明有限公司 | Intelligent lamp Bluetooth configuration method and system based on image recognition |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102685582A (en) * | 2011-03-15 | 2012-09-19 | Lg电子株式会社 | Method of controlling electronic device and portable terminal thereof |
| US20130332482A1 (en) * | 2012-06-06 | 2013-12-12 | Samsung Electronics Co., Ltd. | Apparatus and method of tracking location of wireless terminal based on image |
| CN105915420A (en) * | 2016-06-17 | 2016-08-31 | 海信集团有限公司 | Adding method and device of smart home devices |
| CN106502531A (en) * | 2016-10-18 | 2017-03-15 | 上海传英信息技术有限公司 | The control method of electronic equipment and the control device of electronic equipment |
| CN109426165A (en) * | 2017-08-29 | 2019-03-05 | 珠海格力电器股份有限公司 | Control method and equipment of intelligent household appliance |
-
2019
- 2019-03-14 CN CN201910195017.XA patent/CN109951889B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102685582A (en) * | 2011-03-15 | 2012-09-19 | Lg电子株式会社 | Method of controlling electronic device and portable terminal thereof |
| US20130332482A1 (en) * | 2012-06-06 | 2013-12-12 | Samsung Electronics Co., Ltd. | Apparatus and method of tracking location of wireless terminal based on image |
| CN105915420A (en) * | 2016-06-17 | 2016-08-31 | 海信集团有限公司 | Adding method and device of smart home devices |
| CN106502531A (en) * | 2016-10-18 | 2017-03-15 | 上海传英信息技术有限公司 | The control method of electronic equipment and the control device of electronic equipment |
| CN109426165A (en) * | 2017-08-29 | 2019-03-05 | 珠海格力电器股份有限公司 | Control method and equipment of intelligent household appliance |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111447624A (en) * | 2020-03-04 | 2020-07-24 | 浙江大华技术股份有限公司 | WiFi equipment, network distribution method thereof and device with storage function |
| CN111447624B (en) * | 2020-03-04 | 2023-12-15 | 浙江大华技术股份有限公司 | WiFi equipment, network distribution method thereof and device with storage function |
| CN113570341A (en) * | 2021-07-30 | 2021-10-29 | 国网电子商务有限公司 | Distribution network equipment information input method and device |
| CN113570341B (en) * | 2021-07-30 | 2024-01-16 | 国网数字科技控股有限公司 | Distribution network equipment information input method and device |
| CN114302480A (en) * | 2021-11-26 | 2022-04-08 | 杭州博联智能科技股份有限公司 | Method, system, device and medium for intelligent equipment batch network distribution based on Bluetooth |
| CN114302480B (en) * | 2021-11-26 | 2023-11-03 | 杭州博联智能科技股份有限公司 | Method, system, device and medium for intelligent equipment batch network distribution based on Bluetooth |
| CN114630396A (en) * | 2021-12-31 | 2022-06-14 | 厦门阳光恩耐照明有限公司 | Intelligent lamp Bluetooth configuration method and system based on image recognition |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109951889B (en) | 2022-07-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109951889A (en) | A kind of Internet of Things matches network method and mobile terminal | |
| CN108108649B (en) | Identity verification method and device | |
| CN110555171B (en) | Information processing method, device, storage medium and system | |
| CN107707762A (en) | A kind of method for operating application program and mobile terminal | |
| CN107784089A (en) | A kind of storage method of multi-medium data, processing method and mobile terminal | |
| CN104573437B (en) | Information authentication method, device and terminal | |
| CN109871246A (en) | A kind of message display method and terminal device | |
| CN106973168A (en) | Speech playing method, device and computer equipment | |
| CN108551521A (en) | A kind of log-on message reminding method and mobile terminal | |
| CN107943842A (en) | A kind of photo tag generation method, mobile terminal | |
| CN108037885A (en) | A kind of operation indicating method and mobile terminal | |
| CN107908770A (en) | A kind of photo searching method and mobile terminal | |
| CN107948429A (en) | A kind of content demonstration method and terminal device | |
| CN109522706A (en) | A kind of information cuing method and terminal device | |
| CN108229139A (en) | A kind of cipher-code input method and mobile terminal | |
| CN110825475A (en) | Input method and electronic equipment | |
| CN116486463B (en) | Image processing method, related device and storage medium | |
| CN108459813A (en) | A kind of searching method and mobile terminal | |
| CN108021631A (en) | File polling method, system and computer-readable recording medium | |
| CN107704569A (en) | A kind of voice inquiry method, terminal and computer-readable recording medium | |
| CN107580111A (en) | Contact head image generation method, terminal and computer-readable recording medium | |
| CN107506628A (en) | Biometric discrimination method and Related product | |
| CN114444338B (en) | Method, device and storage medium for fast lightweight verification of AI model combination | |
| CN108494949B (en) | A kind of image classification method and mobile terminal | |
| CN114461183B (en) | AI model rapid combination method, device and storage medium based on user label |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |