CN110310454A - Method for early warning, system, computer equipment and storage medium based on artificial intelligence - Google Patents
Method for early warning, system, computer equipment and storage medium based on artificial intelligence Download PDFInfo
- Publication number
- CN110310454A CN110310454A CN201910400914.XA CN201910400914A CN110310454A CN 110310454 A CN110310454 A CN 110310454A CN 201910400914 A CN201910400914 A CN 201910400914A CN 110310454 A CN110310454 A CN 110310454A
- Authority
- CN
- China
- Prior art keywords
- voice
- child
- sound
- designated user
- user end
- 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
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0205—Specific application combined with child monitoring using a transmitter-receiver system
- G08B21/0208—Combination with audio or video communication, e.g. combination with "baby phone" function
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Signal Processing (AREA)
- General Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Child & Adolescent Psychology (AREA)
- Physics & Mathematics (AREA)
- Emergency Management (AREA)
- Computational Linguistics (AREA)
- General Physics & Mathematics (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Business, Economics & Management (AREA)
- Acoustics & Sound (AREA)
- Environmental & Geological Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The application belongs to the intelligence wearing technical field of artificial intelligence, is related to a kind of method for early warning based on artificial intelligence, system, computer equipment and storage medium.The method includes obtaining the peripheral sound of child, the peripheral sound is separated, the voice to be judged talked with the child is obtained;The voice to be judged is compared with white list sound, judges whether the corresponding people of the voice to be judged is stranger;If stranger, then reminder message is sent to designated user end, and extracted described wait judge the keyword in voice;If the keyword is contained in preset warning keyword set, alarm is sent to designated user end.The application can assist in the safe condition that user monitors child in real time by the judgement of the sound to child periphery, sends reminder message to designated user end or alarm help improves the safety of child.
Description
Technical field
The application belongs to the intelligence wearing technical field of artificial intelligence, and in particular to a kind of pre- police based on artificial intelligence
Method, system, computer equipment and storage medium.
Background technique
There are 1,000,000 children loss, especially 5 years old or less the low missing child of age bracket, than 5 in statistics display, China every year
Year old or more the age child be easier lose, also occur child intelligence location watch product in the market for this problem, should
The most crucial function of product is positioning, and function is relatively simple, and intelligent positioning wrist-watch mainly allows child to pass through wrist-watch and father
Mother converses from time to time, but too small child will not converse with parent, therefore just can not preferably realize to the real-time of child
Monitoring and the emergent management caused danger to child.
Summary of the invention
The embodiment of the present application discloses a kind of method for early warning system based on artificial intelligence, computer equipment and storage and is situated between
Matter, it is intended to realize the early warning to the real-time monitoring of child and when causing danger to child, improve the safety coefficient of child.
The method for early warning based on artificial intelligence, comprising the following steps:
The peripheral sound for obtaining child, the peripheral sound is separated, and is obtained with child dialogue wait judge
Voice;
The voice to be judged is compared with white list sound, the corresponding people of the judgement voice to be judged whether be
Stranger;
If stranger, then reminder message is sent to designated user end, and extracted described wait judge the keyword in voice;
If the keyword is contained in preset warning keyword set, Xiang Suoshu designated user end sends alarm.
Further, it is described pick up child periphery sound the step of before, further includes:
It records and stores the white list sound.
Further, described to record and specifically included the step of storing the white list sound:
Instruction is received, described instruction is used to indicate information recording operation, records current sound in response to described instruction and goes forward side by side
Row storage, the current sound are contained in the white list sound.
Optionally, described if stranger, then include: later to the step of designated user end transmission reminder message
Whether the frequency that the judgement voice to be judged occurs reaches preset threshold values;
If reaching preset threshold values, designated user end is sent by the voice to be judged, to carry out safety certification;
It is receiving described in the confirmation of designated user end when judging that voice is safe, the voice after will confirm that is added to white list
Sound is stored.
Optionally, described the step of sending alarm to the designated user end, specifically includes:
When not receiving the operation for stopping alarm within a preset time, auto dialing gives the corresponding specified use of the white list
Family, and store the peripheral sound of accessed child.
Disclosed herein as well is a kind of early warning systems based on artificial intelligence, it is intended to realize to the real-time monitoring of child and
Early warning when causing danger to child improves the safety coefficient of child.
It include: signal picker;
Wherein, the signal picker includes recording module and the microprocessor with recording module electric connection;
The recording module is used to obtain the peripheral sound of child;
The microprocessor obtains the people to be judged talked with the child for separating the peripheral sound
The voice to be judged is compared sound with white list sound, judges whether the corresponding people of the voice to be judged is strange
People then sends reminder message to designated user end if stranger, and extracts described wait judge the keyword in voice;If institute
When stating keyword and being contained in preset warning keyword set, Xiang Suoshu designated user end sends alarm.
Optionally, the signal picker further includes the temperature sensor being electrically connected with the microprocessor;
The temperature sensor sends collected child's temperature signal to the microprocessor;The microprocessor is also
For being temperature data by processes temperature signal, and the temperature data is sent to the designated user end, so that the finger
Determine user terminal to be presented to the user the temperature data received;The microprocessor is also used in the temperature data be more than default
When body temperature threshold values, Xiang Suoshu designated user end sends abnormal body temperature reminder message.
Further, the early warning system based on artificial intelligence includes the carrier for installing fixed signal collector;
The carrier includes ontology, accommodates the groove of the signal picker in described be set inside the body, the letter
The installing of number collector is equipped with connector in the groove, in the outside that the ontology sets reeded side, on the ontology
It is additionally provided with the pressure sensor pullled or pulled for detecting carrier.
Some embodiments of the present application also disclose a kind of computer equipment, and computer journey is stored in the memory
The step of method for early warning based on artificial intelligence as previously described is realized when sequence, the processor execute the computer program.
Some embodiments of the present application also disclose a kind of computer readable storage medium, the computer-readable storage medium
It is stored with computer program in matter, realizes when the computer program is executed by processor as previously described based on artificial intelligence
The step of method for early warning.
Compared with prior art, technical solution disclosed in the present application mainly have it is following the utility model has the advantages that
In embodiments herein, by obtaining the peripheral sound of child, the peripheral sound is separated, is obtained
With the voice to be judged of child dialogue;The voice to be judged is compared with white list sound, judgement is described wait sentence
Whether the disconnected corresponding people of voice is stranger;If stranger, then send reminder message to designated user end, and extract it is described to
Judge the keyword in voice;If the keyword is contained in preset warning keyword set, sent to designated user end
Alarm.User can be monitored in real time by designated user end the people contacted with child whether be it is safe, can analyze out child
Whether stranger is encountered at this time, even if when user can still pass through designated user end in the case where being not concerned with designated user end
The reminder message or alarm that issue know the security situation of child, take measures on customs clearance in time, improve the safety system of child
Number.
Detailed description of the invention
Technical solution in ord to more clearly illustrate embodiments of the present application, below will be to needed in the embodiment attached
Figure is briefly described, it should be apparent that, the drawings in the following description are only some examples of the present application, for this field
For those of ordinary skill, without any creative labor, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is the structural schematic diagram of the first embodiment of early warning system of the application based on artificial intelligence;
Fig. 2 is the structural schematic diagram of second of embodiment of early warning system of the application based on artificial intelligence;
Fig. 3 is the structural schematic diagram of the carrier in the embodiment of the present application;
Fig. 4 is the flow chart of method for early warning of the application based on artificial intelligence;
Fig. 5 is flow chart the step of increasing white list sound of the embodiment of the present application;
Fig. 6 is 100 basic structure block diagram of computer equipment in the embodiment of the present application.
Description of symbols:
1- signal picker, 11- recording module, 12- microprocessor, 13- locating module, 14- power supply module, 15- communication
Module, 16- temperature sensor, 18- memory module, 2- designated user end, 21- storage unit, 22- map unit, 23- emergency are single
Member, 3- carrier, 31- ontology, 32- connector, 100- computer equipment, 101- memory, 102- processor, 103- network connect
Mouthful.
Specific embodiment
The application in order to facilitate understanding is described more fully the application below with reference to relevant drawings.In attached drawing
Give the preferred embodiment of the application.But the application can realize in many different forms, however it is not limited to this paper institute
The embodiment of description.On the contrary, purpose of providing these embodiments is keeps the understanding to disclosure of this application more thorough
Comprehensively.
Unless otherwise defined, all technical and scientific terms used herein and the technical field for belonging to the application
The normally understood meaning of technical staff is identical.The term used in the description of the present application is intended merely to description tool herein
The purpose of the embodiment of body, it is not intended that in limitation the application.
The embodiment of the present application provides a kind of early warning system based on artificial intelligence, referring to Fig. 1, Fig. 1 is the application base
In the structural schematic diagram of the first embodiment of the early warning system of artificial intelligence;In the embodiment of the present application based on artificial intelligence
Early warning system, including signal picker 1.The signal picker 1 includes recording module 11, microprocessor 12.Microprocessor 12
It is electrically connected with recording module 11.
In the embodiment of the present application, the recording module 11, for obtaining the peripheral sound of child;Specifically, in this implementation
In example, recording module 11 includes the peripheral sound of sound transducer (such as microphone) available child, such as child issues
It crys, shouts, the sound cried, optionally, when detecting the voice for occurring exceeding certain decibel near child, triggering
Sound transducer starts sound-recording function, obtains the peripheral sound of child.
In the embodiment of the present application, the microprocessor 12 obtains and the children for separating the peripheral sound
The voice to be judged of youngster's dialogue, the voice to be judged is compared with white list sound, judges the voice pair to be judged
Whether the people answered is stranger, if stranger, then sends reminder message to designated user end (such as mobile phone), and described in extraction
Wait judge the keyword in voice;If the keyword is contained in preset warning keyword set, Xiang Suoshu designated user
End sends alarm.
The benefit being arranged in this way is that user can monitor whether the people contacted with child is peace by designated user end in real time
It is complete, can analyze out whether child encounters stranger at this time, even if when user in the case where being not concerned with designated user end according to
So the reminder message received can be terminated by designated user or the security situation of child is known in alarm, take correlation to arrange in time
It applies.
Microprocessor 12 separates the peripheral sound, obtains the voice to be judged talked with the child;By institute
It states voice to be judged to be compared with white list sound, judges whether the corresponding people of the voice to be judged is stranger;If
Stranger then sends reminder message to designated user end, and extracts described wait judge the keyword in voice;If the keyword
When being contained in preset warning keyword set, alarm is sent to designated user end.
In the present embodiment, the reminder message includes pop-up message and prompt tone, when user is not switched on designated user end
Short message can also be sent to user to remind, particular content is generally used to show the state of child at this time, such as shows that child pacifies
Complete or dangerous, particular content can be " stranger occurs at one's side in your child, it is noted that " etc., to remind user child all
While there is stranger.Keyword set is such as " with me, let's go ", " buying sugar to you to eat ", " your mother allows me to meet you " etc.;It is described
Alarm is audible and visible alarm, including optical signal and voice signal.
Further, the microprocessor 12 is also used to confirming that the voice to be judged is stranger, to designated user
After end sends reminder message, whether the frequency that the judgement voice to be judged occurs reaches preset threshold values;If reaching default
Threshold values, then designated user end is sent by the voice to be judged, to carry out safety certification;Receiving, designated user end is true
Described in recognizing when judging that voice is safe, the voice after will confirm that is added to white list sound and is stored.
Specifically, in the present embodiment, the preset threshold values for the frequency that voice to be judged occurs can be per half an hour
Ten times, specific primary judgement is stopped the preset time calculation of arrival from loquituring to speaking with voice to be judged and once spoken
At.
It is known to oneself that user, which is terminated by designated user and receives the safety certification confirmation later voice to be judged,
People still says complete unacquainted stranger.
The first situation: if it is people known to oneself, such as neighbours or relative, user can be according to these people
It is no often with child's contact come be confirmed whether be added white list;If often contacted with child, can through safety certification add
Enter white list.Can then it refuse through safety certification if contact is few.
Second situation: if the user thinks that being somebody's turn to do voice to be judged is oneself unacquainted stranger's sound completely, then
Then refuse through safety certification.
It further, can be into after user receives alarm after the microprocessor 12 is sounded an alarm to designated user end 2
Row stops the relevant operation of alarm, shows that alarm has been received in user.But stop when being not received by within the preset time
Signal only shows that user does not receive alarm, or does not perform corresponding processing, and the auto dialing of the meeting of microprocessor 12 at this time is given
The corresponding designated user of the white list, the corresponding designated user of white list are specially that the people that is selected in white list in advance of user makees
For designated user and store its contact method;Correspondingly, SIM card is additionally provided in signal picker 1, for auto dialing to institute
State the corresponding designated user of white list.The microprocessor 12 also will start recording module 11 to the child's peripheral sound got
Data storage, be especially stored in the storage unit 21 in designated user end 2.When just discovery is young over time by user
When youngster is in the hole, rescue clue can be traced and found according to the voice data stored in designated user end 2.By
It is larger in the voice data memory of storage, this portion of sound data is stored in the storage in designated user end 2 in the present embodiment
In unit 21.
Further, microprocessor 12 is also used to prerecord and store the white list sound, specifically, for receiving
Instruction, described instruction are used to indicate information recording operation, record current sound in response to described instruction and are stored, described to work as
Preceding sound is contained in the white list sound.
Specifically, signal picker 1 prerecord child often in contact with relatives such as " father, mother, grandfather, grandmother "
Sound as white list sound and store arrive database, wherein the data lab setting in the present embodiment is in signal picker 1
Memory module 18.
Further, the signal picker 1 of the application further includes the locating module 13 being electrically connected with microprocessor 12, supplies
Electric module 14, communication module 15 and memory module 18.
The early warning system based on artificial intelligence of the application further includes the designated user end with 1 communication connection of signal picker
2。
In the embodiment of the present application, the locating module 13 is used for the location information of preset frequency positioning child, by position
Confidence breath is processed into segment motion profile by microprocessor 12, then motion profile is sent to designated user end with another frequency
2, the motion profile received is presented to the user and is stored in designated user end 2 by the designated user end 2.
Specifically, locating module 13 includes GPS module, AGPS module, one kind of LBS Module and a variety of.
Locating module 13 can be with the location information of preset frequency (such as one minute primary) positioning child, on the one hand
Location information is issued into designated user end 2 by communication module 15 with another frequency, is presented to the user, user passes through designated user
End 2 can pay close attention to the location information of child in real time, it is known that the more specific location information of child, accomplishes the real-time positioning to child
Monitoring.On the other hand location information is processed into segment motion profile by microprocessor 12, then with another preset frequency (ratio
Such as say 5 minutes it is primary) motion profile is sent to such as mobile phone of designated user end 2 by communication module 15;It designated user end 2 will
The location information and motion profile received is stored in designated user end 2 and is presented to the user.
The microprocessor 12 be also used to be judged according to location information and motion profile child whether in safety zone, if
Beyond safety zone, then alarm is sent to designated user end 2;It is also used to whether judge child according to location information and motion profile
Close to danger zone, if sending alarm to designated user end 2 close to danger zone.
Specifically, designated user end 2 can preset security activity region and the hazardous activity of some childs for user
Region, and security activity region and hazardous activity region are stored in the memory module 18 in signal picker 1, for example, young
The places such as youngster may often be in, kindergarten, it is safety zone that house, which can be set, nearby to have an area of ten meters of remote distances, once child
As exceeding in safety zone, or setting institute, kindergarten beyond the distance is safety zone, once baby steps out kindergarten, i.e.,
For beyond safety zone;When microprocessor 12 receives the location information of the child of the sending of locating module 13, with preset safety
Region is compared, and sees if fall out safety zone, beyond i.e. to the transmission alarm of designated user end 2.It equally can also be preparatory
Some danger zones are set, somewhere have known to the user hollow place, pool, be easy on fire or electric shock place by its
It is set as danger zone, is close to danger zone, when microprocessor 12 when baby has an area of ten meters far apart from the danger zone
The location information and motion profile for receiving the child of the sending of locating module 13, are compared with preset danger zone, judge
Whether close to danger zone, close to i.e. to the transmission alarm of designated user end 2.
In the embodiment of the present application, power supply module 14 includes super capacitor and protection IC, and the capacitor that the present embodiment uses is method
Draw capacitor.And it is designed using suspend mode algorithm, so that the system power consumption is ultralow.
In the embodiment of the present application, communication module 15 is for realizing the communication between signal picker 1 and designated user end 2;
Can be GSM communication module, to realize the transmission of remote signal, but when signal picker 1 apart from 2 distance of designated user end compared with
When close, bluetooth communication module also can be set, realize that the signal of short distance transmits by bluetooth communication.
In the embodiment of the present application, designated user end 2 can be mobile phone, and designated user end 2 includes storage unit 21, map list
Member 22, emergency unit 23.
Storage unit 21 is used to store the information data of larger memory;Specifically, the sound that designated user end 2 will receive
Information is stored in the storage unit 21 at designated user end 2.
Emergency unit 23 is used to for reminder message that the microprocessor 12 received issues or alarm being presented to the user.
Map unit 22 is embedded in third party's map software, for that will be stored in the location information and fortune at designated user end 2
Dynamic rail mark is presented to the user;
Storage unit 21 is also used to store the information data of larger memory, specifically, the position that designated user end 2 will receive
Confidence breath and motion profile are stored in the storage unit 21 at designated user end 2 and are presented to the user.
In the present embodiment, warned when child can issue to the user at designated user end 2 in time when encountering stranger and abducting
Report, this set and also to user is prevented sometimes to be busy with other things and designated user end 2 can not be paid close attention to constantly because
Only opening designated user end 2 is consciously gone to be possible to that optimal opportunity can be missed by user, so the audible and visible alarm function of setting can
The occurrence of being handled so that user finds the problem early, preventing jeopardy exception, and after audible and visible alarm is invalid, pass through
Triggering auto dialing early warning further ensures that dangerous timely relief after occurring.
Referring to Fig. 2, Fig. 2 is the structural representation of second of embodiment of early warning system of the application based on artificial intelligence
Figure;Signal picker 1 in the present embodiment is in addition to including locating module 13, recording module 11, the power supply mould in first embodiment
It further include temperature sensor 16 except block 14, microprocessor 12, communication module 15, memory module 18;
Microprocessor 12 respectively with locating module 13, recording module 11, temperature sensor 16, power supply module 14, communication mould
Block 15 and memory module 18 are electrically connected;
The temperature sensor 16 sends collected child's temperature signal to the microprocessor 12, microprocessor 12
It is also used to processes temperature signal be temperature data, designated user end 2 is sent to, so that the designated user end 2 will receive
Temperature data be presented to the user.Further, microprocessor 12 is also used to when temperature data is more than default body temperature threshold values, to
Designated user end 2 sends abnormal body temperature reminder message.The benefit being arranged in this way is that user can be looked into real time by designated user end 2
See the body temperature situation of child.Specifically, designated user end 2 is preset with normal temperature range, i.e. body temperature threshold values, if it receives
Temperature data have beyond preset normal temperature range, that is, be more than default body temperature threshold values, signal picker 1 is to designated user
End 2 sends abnormal body temperature reminder message, to remind user.Further, when temperature data is more than default body temperature threshold values, micro- place
Storage of the starting of device 12 to temperature data is managed, is especially stored in the storage unit 21 in designated user end 2, convenient for giving over to note
Record, can transfer when child goes to see the doctor and check.
Temperature sensor 16 is arranged can often pay close attention to the body temperature situation of child for user, when the body temperature of child is beyond normal
When range, it can need to pay close attention to the health of child with automatically prompting user, if flu, fever etc., if Yao Zengjia clothing
Object reduces clothing etc..
It is the structural schematic diagram of the carrier in the embodiment of the present application refering to Fig. 3, Fig. 3;In the present embodiment based on artificial intelligence
The early warning system of energy further comprises the carrier 3 for installing fixed signal collector 1;
The carrier 3 includes ontology 31, and the groove for accommodating signal picker 1, signal acquisition are equipped in the inside of ontology 31
Device 1 is installed in the groove, connector 32 is equipped in the outside that ontology 31 sets reeded side, for being communicated with the outside
It connects, the pressure sensor (not shown) pullled or pulled for detecting carrier is additionally provided on the ontology 31.
Specifically, in the embodiment of the present application, carrier 3 includes ontology 31, receiving signal is equipped in the inside of ontology 31 and is adopted
The groove of storage 1, signal picker 1 are installed in the groove, are equipped with connection in the outside that ontology 31 sets reeded side
Part 32, connects for being communicated with the outside;3 volume of carrier can accomplish it is very small, generally longest edge be no more than 1 centimetre, herein not
Specific size is defined.Due to small in size thus be not easy to be felt by human hair.
Optionally, connector 32 can be the colloidality substance with adhesive attraction and be made, and the structure can be adhered to treasured
On precious skin;Connector 32 can be structure with holes, and side is connected with ontology 31, and the other end is fixed on by pore structure
On the clothes of baby;
Optionally, in some other embodiments, the structure of carrier 3 or adhesive bandage in the prior art will be created
Villus part in can pasting changes the signal picker 1 in the present embodiment one or two into, and then adhesive plaster can be by signal picker 1
It is pasted on baby's skin.
Carrier 3 in the present embodiment is small and exquisite and is not easy to be discovered, when child be in desperate situation such as by bad person
During implementation is swindled, it is not easy to be realized by bad person, then it will not deliberately be taken down to broken clue, therefore guardian can be made to strive
Take more chance relief children.
The early warning system volume very little based on artificial intelligence in the present embodiment, is not easy to be noticeable, can be in designated user
New emergency data are preset at end 2, such as increase relevant pressure sensor in signal picker 1, are used for sensing signal collector 1
The external force whether firmly pullled or dragged sounds an alarm when sensing to designated user end 2.
Optionally, in some other embodiment, carrier 3 can choose now more commonly used wrist-watch bracelet etc., still
Wrist-watch bracelet is larger to be easy to be found, as long as removing the clue that bracelet wrist-watch etc. breaks guardian when bad person realizes,
So that it is not searched for new clues again, therefore can be used as daily use, for monitor child not with oneself such as
Say the kindergarten and school the case where etc..
It is the flow chart of the method for early warning based on artificial intelligence of the embodiment of the present application refering to Fig. 4, Fig. 4, it is described to be based on people
The method for early warning of work intelligence the following steps are included:
S401. obtain child peripheral sound, the peripheral sound is separated, obtain with the child talk with to
Judge voice;
S402. the voice to be judged is compared with white list sound, judges the corresponding people of the voice to be judged
It whether is stranger;If the sound in white list, then return step S401, obtains another voice to be judged.
S403. if stranger, then reminder message is sent to designated user end, and extracted described wait judge the pass in voice
Keyword;
Specifically, obtaining child's peripheral sound by recording module 11, such as says and cry, shout, crying when child issues
Sound, or when detecting near child the voice for occurring exceeding certain decibel, the triggering starting of recording module 11 is obtained
Recording is sent to microprocessor 12 by communication module 15 by the function of sound.The peripheral sound that microprocessor 12 will receive
It is separated, obtains the voice to be judged talked with the child, the voice to be judged is compared with white list sound,
Judge whether the corresponding people of the voice to be judged is stranger;If stranger, then prompting is sent to designated user end 2 and disappeared
Breath, and extract described wait judge the keyword in voice.
Wherein, the reminder message includes pop-up message and prompt tone, can be with when user is not switched on designated user end
It sends short message to user to remind, particular content is generally used to show the state of child at this time, such as safe or dangerous, tool
Holding in vivo can be " stranger occurs at one's side in your child, it is noted that " etc., to remind user child that there is stranger on periphery.
If S404. the keyword is contained in preset warning keyword set, alarm is sent to designated user end 2.
In the present embodiment, keyword set is such as " with me, let's go ", " buying sugar to you to eat ", " your mother allows me to connect
You " etc.;The alarm is audible and visible alarm, including optical signal and voice signal.
User, which can first pass through designated user end 2 in advance and artificially be arranged in signal picker 1, some shows that child may meet
To dangerous keyword set;When the microprocessor 12 is able to confirm that the corresponding artificial stranger of the voice to be judged, institute
When stating keyword and being contained in preset warning keyword set, it is determined as highly dangerous, sends and warn to designated user end 2
Report.
Further, it is described pick up child periphery sound the step of before, further includes:
It records and stores the white list sound.
In some embodiments, described to record and specifically included the step of storing the white list sound:
Instruction is received, described instruction is used to indicate information recording operation, records current sound in response to described instruction and goes forward side by side
Row storage, the current sound are contained in the white list sound.
Specifically, white list sound include prerecord and the child that stores often in contact with relatives such as " father, mother
The sound of mother, grandfather, grandmother ".
It is flow chart the step of increasing white list sound of the embodiment of the present application refering to Fig. 5, Fig. 5;
It is described if stranger in the embodiment of the present application, then it is wrapped later to the step of transmission reminder message of designated user end 2
It includes:
Whether the frequency that S501. the judgement voice to be judged occurs reaches preset threshold values;
If S502. reaching preset threshold values, designated user end is sent by the voice to be judged, is recognized with carrying out safety
Card;
If not reaching preset threshold values, return step S401 obtains another voice to be judged;
S503. it is receiving described in the confirmation of designated user end when judging that voice is safe, the voice after will confirm that is added to
White list sound is stored.
Wherein, the preset threshold values for the frequency that voice to be judged occurs can be per half an hour ten times, specific primary
Judgement stops reaching the preset primary completion of speaking of time calculation from loquituring to speaking with voice to be judged.
Optionally, the method for early warning based on artificial intelligence in the present embodiment, it is described to be sounded an alarm to designated user end 2
After step, further includes:
When not receiving the operation for stopping alarm within a preset time, auto dialing gives the corresponding specified use of the white list
Family, and store the peripheral sound of accessed child.
Wherein, the corresponding designated user of white list is specially that user selects people in white list as designated user simultaneously in advance
Store its contact method.
Specifically, designated user end 2 issues the user with sound according to the alarm signal that the microprocessor 12 received is sent
Light alarm shows that alarm has been received in user, but works as when receiving the operation for stopping alarm within the preset time
Be not received by the preset time stop alarm operation when, show that user does not receive alarm, or receive alarm but
It does not perform corresponding processing, in order to guarantee the safety of child, microprocessor 12 can auto dialing or control designated user at this time
2 dialing of end gives the white list corresponding designated user, and starts the storage to the data of the child's peripheral sound got,
In specific storage to the storage unit 21 in designated user end 2, when just discovery child is in dangerous shape to user after a period of time
When state, evidence or clue can be found according to the data of storage.
Compared with prior art, technical solution disclosed in the present application mainly have it is following the utility model has the advantages that
In embodiments herein, the peripheral sound of child is obtained by recording module 11, microprocessor 12 will be described
Peripheral sound is separated, and the voice to be judged talked with the child is obtained;By the voice to be judged and white list sound
It is compared, judges whether the corresponding people of the voice to be judged is stranger;If stranger, then sent out to designated user end 2
Reminder message is sent, and is extracted described wait judge the keyword in voice;If the keyword is contained in preset warning keyword
When set, alarm is sent to designated user end 2.
User can be monitored in real time by designated user end 2 people contacted with child whether be it is safe, can analyze out
Whether child encounters stranger at this time, though when user be not concerned with designated user end 2 in the case where can still pass through hair
The security situation of child is known in alarm out, takes measures on customs clearance in time, in addition when user not or do not hear alarm
When, microprocessor 12 can give white list corresponding designated user with auto dialing, the more effectively progress when child causes danger
Relief.
The embodiment of the application discloses a kind of computer equipment.It is the embodiment of the application referring specifically to Fig. 6
Middle 100 basic structure block diagram of computer equipment.
As schematically represented in fig. 6, the computer equipment 100 includes being in communication with each other connection memory by system bus
101, processor 102, network interface 103.It is set it should be pointed out that illustrating only the computer with component 101-103 in Fig. 6
Standby 100, it should be understood that being not required for implementing all components shown, the implementation that can be substituted is more or less
Component.Wherein, those skilled in the art of the present technique be appreciated that computer equipment here be one kind can according to being previously set or
The instruction of storage, the automatic equipment for carrying out numerical value calculating and/or information processing, hardware include but is not limited to microprocessor, specially
With integrated circuit (Application Specific Integrated Circuit, ASIC), programmable gate array (Field-
Programmable Gate Array, FPGA), it is digital processing unit (Digital Signal Processor, DSP), embedded
Equipment etc..
The computer equipment can be the calculating such as desktop PC, notebook, palm PC and cloud server and set
It is standby.The computer equipment can carry out people by modes such as keyboard, mouse, remote controler, touch tablet or voice-operated devices with user
Machine interaction.
The memory 101 include at least a type of readable storage medium storing program for executing, the readable storage medium storing program for executing include flash memory,
Hard disk, multimedia card, card-type memory (for example, SD or DX memory etc.), random access storage device (RAM), static random are visited
It asks memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), may be programmed read-only deposit
Reservoir (PROM), magnetic storage, disk, CD etc..In some embodiments, the memory 101 can be the calculating
The internal storage unit of machine equipment 100, such as the hard disk or memory of the computer equipment 100.In further embodiments, described
What memory 101 was also possible to be equipped on the External memory equipment of the computer equipment 100, such as the computer equipment 100
Plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card dodge
Deposit card (Flash Card) etc..Certainly, the memory 101 can also both include the storage inside of the computer equipment 100
Unit also includes its External memory equipment.In the present embodiment, the memory 101 is installed on the computer commonly used in storage
The operating system and types of applications software of equipment 100, such as the above-mentioned method for early warning etc. based on artificial intelligence.In addition, described deposit
Reservoir 101 can be also used for temporarily storing the Various types of data that has exported or will export.
The processor 102 can be in some embodiments central processing unit (Central Processing Unit,
CPU), controller, microcontroller, microprocessor or other data processing chips.The processor 102 is commonly used in described in control
The overall operation of computer equipment 100.In the present embodiment, the processor 102 is used to run to store in the memory 101
Program code or processing data, such as run the program code of the above-mentioned method for early warning based on artificial intelligence.
The network interface 103 may include radio network interface or wired network interface, which is commonly used in
Communication connection is established between the computer equipment 100 and other electronic equipments.
Present invention also provides another embodiments, that is, provide a kind of computer readable storage medium, the computer
Readable storage medium storing program for executing is stored with document information recording program, and the document information recording program can be held by least one processor
Row, so that the step of at least one described processor executes method for early warning of any one of the above based on artificial intelligence.
Finally it should be noted that, it is clear that embodiments described above is only some embodiments of the present application, rather than
Whole embodiments gives the preferred embodiment of the application in attached drawing, but is not intended to limit the scope of the patents of the application.The application
It can realize in many different forms, on the contrary, purpose of providing these embodiments is makes to disclosure of this application
Understanding it is more thorough and comprehensive.Although the application is described in detail with reference to the foregoing embodiments, for the skill of this field
For art personnel come, it can still modify to technical solution documented by aforementioned each specific embodiment, or to it
Middle some technical characteristics carry out equivalence replacement.All equivalent structures done using present specification and accompanying drawing content, directly
Or it is used in other related technical areas indirectly, similarly within the application scope of patent protection.
Claims (10)
1. a kind of method for early warning based on artificial intelligence, which comprises the following steps:
The peripheral sound for obtaining child, the peripheral sound is separated, and obtains the voice to be judged talked with the child;
The voice to be judged is compared with white list sound, judges whether the corresponding people of the voice to be judged is strange
People;
If stranger, then reminder message is sent to designated user end, and extracted described wait judge the keyword in voice;
If the keyword is contained in preset warning keyword set, alarm is sent to designated user end.
2. the method for early warning according to claim 1 based on artificial intelligence, which is characterized in that on the pickup child periphery
Sound the step of before, further includes:
It records and stores the white list sound.
3. the method for early warning according to claim 2 based on artificial intelligence, which is characterized in that the recording simultaneously stores described
The step of white list sound, specifically includes:
Instruction is received, described instruction is used to indicate information recording operation;
In response to described instruction, records current sound and stored, the current sound is contained in the white list sound.
4. the method for early warning according to claim 1 based on artificial intelligence, which is characterized in that it is described if stranger, then
Include: after the step of sending reminder message to designated user end
Whether the frequency that the judgement voice to be judged occurs reaches preset threshold values;
If reaching preset threshold values, designated user end is sent by the voice to be judged, to carry out safety certification;
It is receiving described in the confirmation of designated user end when judging that voice is safe, the voice after will confirm that is added to white list sound
It is stored.
5. the method for early warning according to claim 1 based on artificial intelligence, which is characterized in that described to the designated user
End was sent after the step of alarm, further includes:
When not receiving the operation for stopping alarm within a preset time, auto dialing gives the corresponding designated user of the white list,
And store the peripheral sound of accessed child.
6. a kind of early warning system based on artificial intelligence characterized by comprising signal picker;
Wherein, the signal picker includes recording module and the microprocessor with recording module electric connection;
The recording module is used to obtain the peripheral sound of child;
The microprocessor is used to separate the peripheral sound, obtains the voice to be judged talked with the child, will
The voice to be judged is compared with white list sound, judges whether the corresponding people of the voice to be judged is stranger, if
For stranger, then reminder message is sent to designated user end, and extracted described wait judge the keyword in voice;If the key
When word is contained in preset warning keyword set, Xiang Suoshu designated user end sends alarm.
7. the early warning system according to claim 6 based on artificial intelligence, which is characterized in that the signal picker also wraps
Include the temperature sensor being electrically connected with the microprocessor;
The temperature sensor sends collected child's temperature signal to the microprocessor;The microprocessor is also used to
It is temperature data by processes temperature signal, and the temperature data is sent to the designated user end, so that the specified use
The temperature data received is presented to the user by family end;The microprocessor is also used in the temperature data be more than default body temperature
When threshold values, Xiang Suoshu designated user end sends abnormal body temperature reminder message.
8. the early warning system according to claim 7 based on artificial intelligence, which is characterized in that described based on artificial intelligence
Early warning system includes the carrier for installing fixed signal collector;
The carrier includes ontology, accommodates the groove of the signal picker in described be set inside the body, the signal is adopted
Storage is installed in the groove, is equipped with connector in the outside that the ontology sets reeded side, is also set on the ontology
There is the pressure sensor pullled or pulled for detecting carrier.
9. a kind of computer equipment, including memory and processor, computer program, the processing are stored in the memory
Device realizes the method for early warning based on artificial intelligence as described in any one of claims 1 to 5 when executing the computer program
The step of.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program, when the computer program is executed by processor realize as described in any one of claims 1 to 5 based on artificial intelligence
Method for early warning the step of.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910400914.XA CN110310454A (en) | 2019-05-15 | 2019-05-15 | Method for early warning, system, computer equipment and storage medium based on artificial intelligence |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910400914.XA CN110310454A (en) | 2019-05-15 | 2019-05-15 | Method for early warning, system, computer equipment and storage medium based on artificial intelligence |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110310454A true CN110310454A (en) | 2019-10-08 |
Family
ID=68074762
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910400914.XA Pending CN110310454A (en) | 2019-05-15 | 2019-05-15 | Method for early warning, system, computer equipment and storage medium based on artificial intelligence |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110310454A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110910606A (en) * | 2019-10-10 | 2020-03-24 | 重庆特斯联智慧科技股份有限公司 | Target tracking-based child anti-lost method and system |
CN113763682A (en) * | 2021-09-02 | 2021-12-07 | 上海瑾盛通信科技有限公司 | Security alarm method of terminal, mobile device, electronic device and storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB2397467A (en) * | 2003-01-17 | 2004-07-21 | Nicholas Rowlatt | Theft prevention of mobile apparatus through restricted access to the memory where only a limited number of numbers are stored |
CN104240438A (en) * | 2014-09-01 | 2014-12-24 | 百度在线网络技术(北京)有限公司 | Method and device for achieving automatic alarming through mobile terminal and mobile terminal |
CN106384478A (en) * | 2016-11-30 | 2017-02-08 | 南京小脚印网络科技有限公司 | Voiceprint identification device and method using the same to protect children |
CN108347512A (en) * | 2018-01-22 | 2018-07-31 | 维沃移动通信有限公司 | A kind of personal identification method and mobile terminal |
CN109151719A (en) * | 2018-09-28 | 2019-01-04 | 北京小米移动软件有限公司 | Safety guide method, device and storage medium |
-
2019
- 2019-05-15 CN CN201910400914.XA patent/CN110310454A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB2397467A (en) * | 2003-01-17 | 2004-07-21 | Nicholas Rowlatt | Theft prevention of mobile apparatus through restricted access to the memory where only a limited number of numbers are stored |
CN104240438A (en) * | 2014-09-01 | 2014-12-24 | 百度在线网络技术(北京)有限公司 | Method and device for achieving automatic alarming through mobile terminal and mobile terminal |
CN106384478A (en) * | 2016-11-30 | 2017-02-08 | 南京小脚印网络科技有限公司 | Voiceprint identification device and method using the same to protect children |
CN108347512A (en) * | 2018-01-22 | 2018-07-31 | 维沃移动通信有限公司 | A kind of personal identification method and mobile terminal |
CN109151719A (en) * | 2018-09-28 | 2019-01-04 | 北京小米移动软件有限公司 | Safety guide method, device and storage medium |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110910606A (en) * | 2019-10-10 | 2020-03-24 | 重庆特斯联智慧科技股份有限公司 | Target tracking-based child anti-lost method and system |
CN113763682A (en) * | 2021-09-02 | 2021-12-07 | 上海瑾盛通信科技有限公司 | Security alarm method of terminal, mobile device, electronic device and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10580284B2 (en) | Wearable interactive notification device and interactive notification system | |
CN102750803B (en) | Fall alarm, fall alarm detector and fall alarm detecting method | |
CN106714023B (en) | A kind of voice awakening method, system and bone conduction earphone based on bone conduction earphone | |
CN105055173B (en) | Intelligent medicine box | |
US9786282B2 (en) | Mobile thought catcher system | |
CN105171752A (en) | Robot system and method thereof | |
CN103919683A (en) | System for reminding old person to take medicine regularly | |
CN104954990A (en) | Tourist geographic position positioning and communication management system and method | |
WO2017133099A1 (en) | Information processing method, device, wearable device and storage medium | |
CN104270533A (en) | Event reminding method and device | |
CN103679601A (en) | Method for processing user health support and terminals | |
CN204887480U (en) | Visitor geographical position location communications management system | |
CN204910137U (en) | Vehicle actuated control intelligence reminding device and intelligent robot based on types of facial makeup in beijing operas discernment | |
CN110310454A (en) | Method for early warning, system, computer equipment and storage medium based on artificial intelligence | |
CN101822537A (en) | Warning device and warning method thereof | |
CN108597506A (en) | A kind of intelligent wearable device alarming method for power and intelligent wearable device | |
CN107003715A (en) | Smart phone is configured based on user's sleep state | |
CN111174941A (en) | Body temperature monitoring system and method | |
CN110322898A (en) | Vagitus detection method, device and computer readable storage medium | |
CN110200606A (en) | A kind of environment and vital signs monitoring system based on AR glasses | |
CN202694517U (en) | Fall alarm instrument | |
CN106887114A (en) | The safe usual method of wearable device and equipment | |
CN110650243B (en) | Alarm method, alarm device, storage medium and terminal | |
CN208752766U (en) | Old man's Emergency Assistance calling set | |
CN106663359A (en) | Monitoring living beings |
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 | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191008 |
|
RJ01 | Rejection of invention patent application after publication |