CN111047758A - Awakening method and system of intelligent electronic equipment - Google Patents
Awakening method and system of intelligent electronic equipment Download PDFInfo
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- CN111047758A CN111047758A CN201911202557.2A CN201911202557A CN111047758A CN 111047758 A CN111047758 A CN 111047758A CN 201911202557 A CN201911202557 A CN 201911202557A CN 111047758 A CN111047758 A CN 111047758A
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification
- G10L17/22—Interactive procedures; Man-machine interfaces
- G10L17/24—Interactive procedures; Man-machine interfaces the user being prompted to utter a password or a predefined phrase
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L2015/088—Word spotting
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
Abstract
The invention relates to a wake-up method of intelligent electronic equipment, which adopts an infrared sensor to perform passive detection, wakes up a voice module to perform human voice detection when the infrared sensor detects a human body, further performs wake-up keyword detection when the voice module detects the human voice, and wakes up a face recognition unit to perform face recognition when the voice module detects the wake-up keyword. The face recognition unit of the invention has less false triggering, more time is in a standby state, the power consumption is reduced, and the service life of the whole system is prolonged under the condition of the same battery power.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and a system for waking up an intelligent electronic device.
Background
With the improvement of living standard, various intelligent devices emerge endlessly. This is particularly true in the household industry, which is closely related to living life; for example, when a person approaches the door, the intelligent face door lock realizes non-inductive door opening after face recognition is successful, and the life quality of people is greatly improved. However, because the power consumption of the operation of the face recognition system is high, the peak value reaches 500ma, the face recognition system enters a standby or power-off mode due to the consideration of the energy consumption, and the face recognition is started after a person is detected by a sensor and the like; a common way of waking up is as follows.
Detection and awakening of the distance sensor: after a person is detected by a distance sensor, such as an infrared distance sensor, the face recognition system is awakened. However, the distance sensor is easily interfered by a shielding object to cause false alarm, whether the object is a target human body cannot be determined, and when a person goes out, the face recognition system can be awakened at the moment of closing the door, if the face of the person just faces the door at the moment, secondary automatic door opening is easily caused, and potential safety hazards exist.
The temperature sensor detects and wakes up: after a person is detected by the pyroelectric temperature sensor PIR, the face recognition system is awakened. However, the temperature sensor is easily disturbed by hot air flow or the disturbance of people walking to cause false alarm, and whether the target human body is detected or not cannot be determined; and just like distance sensor, when going out, the face identification system also can awaken up in the twinkling of an eye that closes the door, if the face just faces the door this moment, causes the automatic door that opens of secondary easily, has the potential safety hazard.
The voice recognition module detects and wakes up: after the voice or the specific keywords are identified through the intelligent voice identification module, the door is opened. However, direct waking up with human voice is also prone to false triggering, such as: in order to solve the problem, after the voice is detected, a specific keyword is added to further detect whether the voice needs to be awakened or not; however, when the human voice detection is performed, the power consumption is about 100ua, when the keyword detection is performed, the power consumption is about 2ma, and for products which are not long in power supply, frequent triggering is also high in energy consumption, and the service life of a lithium battery is shortened.
Disclosure of Invention
The invention aims to provide a method and a system for waking up intelligent electronic equipment, which have the effects of reducing the false triggering rate of a voice module and a face recognition unit and further reducing the power consumption of the system.
The above object of the present invention is achieved by the following technical solutions:
an infrared sensor is adopted for passive detection, when the infrared sensor detects a human body, a voice module is awakened for human voice detection, when the voice module detects the human voice, a wake-up keyword detection is further performed, and when the voice module detects the wake-up keyword, a face recognition unit is awakened for face recognition. .
By adopting the technical scheme, the false triggering of the face recognition unit is reduced, the face recognition unit is in a standby state for more time, the power consumption is reduced, and the service life of the whole system is prolonged under the condition of the same battery power.
The invention is further configured to: the awakening method comprises the following specific steps:
s01: detecting passively by an infrared sensor;
s02: after the infrared sensor detects a human body, triggering and interrupting the human body to the first processing unit;
s03: the first processing unit turns on a power supply of the voice module;
s04: the voice module judges whether a voice exists, if so, the step S05 is carried out, and if not, the step S06 is carried out;
s05: the voice module judges whether a wake-up keyword exists, and if the wake-up keyword exists, the step S07 is executed; if the keyword is not awakened, the step S06 is entered;
s06: the voice module is dormant and returns to the step S01;
s07: the voice module wakes up the second processing unit and enables the voice module to be dormant;
s08: the second processing unit turns on the power supply of the face recognition unit and sends a recognition instruction;
s09: the human face recognition unit judges whether a human face exists or not, if so, the step S11 is carried out, and if not, the step S10 is carried out;
s10: the face recognition unit is dormant and returns to step S01;
s11: the face recognition unit sends face information to the second processing unit and enables the face recognition unit to be dormant;
s12: the second processing unit turns on a power supply of the motor driving unit;
s13: the motor driving unit executes unlocking action;
s14: the second processing unit and the motor driving unit are dormant, and return is made to step S01.
By adopting the technical scheme, the voice detection of the voice module is adopted, and the condition that most infrared sensors detect false triggering, such as obstacles or hot air flow, is eliminated; through the awakening keyword detection of the voice module, the target voice is accurately determined, the service time of the face recognition unit with high power consumption is shortened, and the power consumption of the system is reduced.
The invention is further configured to: in step S04, if there is no voice, it is determined whether time out has occurred, if not, it returns to step S04 to continue determining whether there is voice, and if time out, it proceeds to step S06.
By adopting the technical scheme, the overtime judgment function during the voice detection is added, so that the condition that the voice cannot be awakened when the voice is really needed to be awakened is avoided.
The invention is further configured to: in step S05, if there is no wake-up keyword, it is determined whether the time is out, if not, the process returns to step S05 to continuously determine whether there is a wake-up keyword, and if yes, the process proceeds to step S06.
By adopting the technical scheme, the overtime judgment function during the detection of the awakening keyword is added, so that the condition that the awakening cannot be performed when the awakening is really needed is avoided.
The invention is further configured to: in step S09, if there is no face, it is determined whether there is a timeout, if there is no timeout, the process returns to step S09 to continue determining whether there is a face, and if it is a timeout, the process proceeds to step S10.
By adopting the technical scheme, the overtime judgment function during face detection is added, so that the condition that the face cannot be awakened when the face needs to be awakened really is avoided.
The invention is further configured to: the voice module comprises a microphone pickup and a voice processing unit, the microphone pickup is used for acquiring sound data of the surrounding environment and transmitting the sound data to the voice processing unit, and the voice processing unit receives the sound data and judges whether a person sounds in the sound data and awakens a keyword.
Through adopting above-mentioned technical scheme, voice module includes microphone adapter and speech processing unit, and external sound data can normally gather in the speech processing unit through the microphone adapter.
The second aim of the invention is realized by the following technical scheme:
a wake-up system of intelligent electronic equipment comprises an infrared sensor, a first processing unit, a voice module, a second processing unit, a face recognition unit and a motor driving unit; the infrared sensor is used for passively detecting whether people exist in the surrounding environment, the first processing unit is used for receiving interrupt information of the infrared sensor to turn on a power supply of the voice module, the voice module is used for acquiring sound data of the surrounding environment and judging whether people exist in the sound data or not and awakening keywords, and the second processing unit is used for awakening the face recognition unit to perform face recognition and turning on the power supply of the motor driving unit; the face recognition unit is used for carrying out face recognition and giving a feedback signal to the second processing unit, and the motor driving unit is used for executing unlocking action.
By adopting the technical scheme, the voice detection of the voice module is adopted, and the condition that most infrared sensors detect false triggering, such as obstacles or hot air flow, is eliminated; through the awakening keyword detection of the voice module, the target voice is accurately determined, the service time of the face recognition unit with high power consumption is shortened, and the power consumption of the system is reduced.
The invention is further configured to: the voice module comprises a microphone pickup and a voice processing unit, the microphone pickup is used for acquiring sound data of the surrounding environment and transmitting the sound data to the voice processing unit, and the voice processing unit receives the sound data and judges whether a person sounds in the sound data and awakens a keyword.
Through adopting above-mentioned technical scheme, voice module includes microphone adapter and speech processing unit, and external sound data can normally gather in the speech processing unit through the microphone adapter.
The invention is further configured to: the infrared sensor sets a trigger threshold and a distance parameter according to requirements.
By adopting the technical scheme, the triggering threshold value and the distance parameter of the infrared sensor can be set by a user according to requirements, and the implementability is improved.
The invention is further configured to: the first processing unit consumes less power than the second processing unit.
By adopting the technical scheme, the first processing unit with lower power consumption is used for long-time operation, and the second processing unit with higher power consumption selectively operates, so that the power consumption of the system is further reduced.
In conclusion, the beneficial technical effects of the invention are as follows:
1. false triggering of the face recognition unit is reduced, the face recognition unit is in a standby state for more time, power consumption is reduced, and the service life of the whole system is prolonged under the condition of the same battery power;
2. the false triggering rate of the voice module and the face recognition unit is reduced, the face recognition unit is accurately awakened and recognized, and the power consumption of the system is greatly reduced;
3. through the voice detection of the voice module, the condition that most infrared sensors detect false triggering, such as obstacles or hot air flow, is eliminated;
4. through the awakening keyword detection of the voice module, the target voice is accurately determined, the service time of the face recognition unit with high power consumption is greatly shortened, and the power consumption of the system is reduced.
Drawings
FIG. 1 is a flow chart of a wake-up method of the present invention;
fig. 2 is a functional block diagram of the wake-up system of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The invention discloses a wake-up method of intelligent electronic equipment, which adopts an infrared sensor to perform passive detection, wakes up a voice module to perform human voice detection when the infrared sensor detects a human body, further performs wake-up keyword detection when the voice module detects the human voice, and wakes up a face recognition unit to perform face recognition when the voice module detects the wake-up keyword.
Referring to fig. 1, a method for waking up an intelligent electronic device (in this embodiment, the intelligent electronic device is a door lock) disclosed by the present invention includes the following specific steps:
s01: detecting passively by an infrared sensor;
s02: after the infrared sensor detects a human body, triggering and interrupting the human body to the first processing unit;
s03: the first processing unit turns on a power supply of the voice module;
s04: the voice module judges whether a voice exists, if so, the step S05 is carried out, and if not, the step S06 is carried out;
s05: the voice module judges whether a wake-up keyword exists (such as 'small day and small day'), if so, the step S07 is carried out; if the keyword is not awakened, the step S06 is entered;
s06: the voice module is dormant and returns to the step S01;
s07: the voice module wakes up the second processing unit and enables the voice module to be dormant;
s08: the second processing unit turns on the power supply of the face recognition unit and sends a recognition instruction;
s09: the human face recognition unit judges whether a human face exists or not, if so, the step S11 is carried out, and if not, the step S10 is carried out;
s10: the face recognition unit is dormant and returns to step S01;
s11: the face recognition unit sends face information to the second processing unit and enables the face recognition unit to be dormant;
s12: the second processing unit turns on a power supply of the motor driving unit;
s13: the motor driving unit executes unlocking action;
s14: the second processing unit and the motor driving unit are dormant, and return is made to step S01.
With reference to fig. 1, in the step S04, if there is no voice, it is determined whether time out (i.e., it is determined whether the time for searching for the voice exceeds a preset time value, preferably 10 seconds in this embodiment) exists, if not, the step S04 is returned to continue determining whether there is a voice, and if yes, the step S06 is entered.
With reference to fig. 1, in the step S05, if there is no wakeup keyword, it is determined whether the time is out (i.e., it is determined whether the time for searching the wakeup keyword exceeds a preset time value, preferably 10 seconds in this embodiment), if there is no time out, the step S05 is returned to continuously determine whether there is a wakeup keyword, and if so, the step S06 is executed.
With reference to fig. 1, in the step S09, if there is no face, it is determined whether time out (i.e., it is determined whether the time for searching for the face exceeds a preset time value, preferably 10 seconds in this embodiment) exists, if not, the step S09 is returned to continue determining whether there is a face, and if yes, the step S10 is entered.
The voice module comprises a microphone pickup and a voice processing unit, the microphone pickup is used for acquiring sound data of the surrounding environment and transmitting the sound data to the voice processing unit, and the voice processing unit receives the sound data and judges whether a person sounds in the sound data and awakens a keyword.
Referring to fig. 2, the awakening system of the intelligent electronic device disclosed by the invention comprises an infrared sensor, a first processing unit, a voice module, a second processing unit, a face recognition unit and a motor driving unit; the infrared sensor is used for passively detecting whether people exist in the surrounding environment, the first processing unit is used for receiving interrupt information of the infrared sensor to turn on a power supply of the voice module, the voice module is used for acquiring sound data of the surrounding environment and judging whether people exist in the sound data or not and awakening keywords, and the second processing unit is used for awakening the face recognition unit to perform face recognition and turning on the power supply of the motor driving unit; the face recognition unit is used for carrying out face recognition and giving a feedback signal to the second processing unit, and the motor driving unit is used for executing unlocking action.
Continuing to refer to fig. 2, the voice module includes a microphone pickup and a voice processing unit, the microphone pickup is used for acquiring sound data of surrounding environment and transmitting the sound data to the voice processing unit, and the voice processing unit receives the sound data and then judges whether there is voice in the sound data and awakens up keywords.
Preferably, the infrared sensor sets parameters such as a trigger threshold value and a distance according to requirements; the user sets the operation according to the requirement, and the implementability is improved. The first processing unit consumes less power (8-bit MCU in this embodiment) than the second processing unit (32-bit MCU in this embodiment).
The embodiments of the present invention are preferred embodiments of the present invention, and the scope of the present invention is not limited by these embodiments, so: all equivalent changes made according to the structure, shape and principle of the invention are covered by the protection scope of the invention.
Claims (10)
1. A wake-up method of an intelligent electronic device, characterized by: the method comprises the steps that an infrared sensor is adopted for passive detection, when the infrared sensor detects a human body, a voice module is awakened to perform voice detection, when the voice module detects the voice, a awakening keyword is further detected, and when the voice module detects the awakening keyword, a face recognition unit is awakened to perform face recognition.
2. The method for waking up an intelligent electronic device according to claim 1, comprising the following specific steps:
s01: detecting passively by an infrared sensor;
s02: after the infrared sensor detects a human body, triggering and interrupting the human body to the first processing unit;
s03: the first processing unit turns on a power supply of the voice module;
s04: the voice module judges whether a voice exists, if so, the step S05 is carried out, and if not, the step S06 is carried out;
s05: the voice module judges whether a wake-up keyword exists, and if the wake-up keyword exists, the step S07 is executed; if the keyword is not awakened, the step S06 is entered;
s06: the voice module is dormant and returns to the step S01;
s07: the voice module wakes up the second processing unit and enables the voice module to be dormant;
s08: the second processing unit turns on the power supply of the face recognition unit and sends a recognition instruction;
s09: the human face recognition unit judges whether a human face exists or not, if so, the step S11 is carried out, and if not, the step S10 is carried out;
s10: the face recognition unit is dormant and returns to step S01;
s11: the face recognition unit sends face information to the second processing unit and enables the face recognition unit to be dormant;
s12: the second processing unit turns on a power supply of the motor driving unit;
s13: the motor driving unit executes unlocking action;
s14: the second processing unit and the motor driving unit are dormant, and return is made to step S01.
3. The wake-up method of an intelligent electronic device according to claim 2, characterized in that: in step S04, if there is no voice, it is determined whether time out has occurred, if not, it returns to step S04 to continue determining whether there is voice, and if time out, it proceeds to step S06.
4. The wake-up method of an intelligent electronic device according to claim 2, characterized in that: in step S05, if there is no wake-up keyword, it is determined whether the time is out, if not, the process returns to step S05 to continuously determine whether there is a wake-up keyword, and if yes, the process proceeds to step S06.
5. The wake-up method of an intelligent electronic device according to claim 2, characterized in that: in step S09, if there is no face, it is determined whether there is a timeout, if there is no timeout, the process returns to step S09 to continue determining whether there is a face, and if it is a timeout, the process proceeds to step S10.
6. The wake-up method of an intelligent electronic device according to claim 2, characterized in that: the voice module comprises a microphone pickup and a voice processing unit, the microphone pickup is used for acquiring sound data of the surrounding environment and transmitting the sound data to the voice processing unit, and the voice processing unit receives the sound data and judges whether a person sounds in the sound data and awakens a keyword.
7. A wake-up system of an intelligent electronic device, characterized in that: the system comprises an infrared sensor, a first processing unit, a voice module, a second processing unit, a face recognition unit and a motor driving unit; the infrared sensor is used for passively detecting whether people exist in the surrounding environment, the first processing unit is used for receiving interrupt information of the infrared sensor to turn on a power supply of the voice module, the voice module is used for acquiring sound data of the surrounding environment and judging whether people exist in the sound data or not and awakening keywords, and the second processing unit is used for awakening the face recognition unit to perform face recognition and turning on the power supply of the motor driving unit; the face recognition unit is used for carrying out face recognition and giving a feedback signal to the second processing unit, and the motor driving unit is used for executing unlocking action.
8. The wake-up system of an intelligent electronic device according to claim 7, characterized in that: the voice module comprises a microphone pickup and a voice processing unit, the microphone pickup is used for acquiring sound data of the surrounding environment and transmitting the sound data to the voice processing unit, and the voice processing unit receives the sound data and judges whether a person sounds in the sound data and awakens a keyword.
9. The wake-up system of an intelligent electronic device according to claim 7, characterized in that: the infrared sensor sets a trigger threshold and a distance parameter according to requirements.
10. The wake-up system of an intelligent electronic device according to claim 7, characterized in that: the first processing unit consumes less power than the second processing unit.
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