CN115132224A - Abnormal sound processing method, device, terminal and storage medium - Google Patents
Abnormal sound processing method, device, terminal and storage medium Download PDFInfo
- Publication number
- CN115132224A CN115132224A CN202110319218.3A CN202110319218A CN115132224A CN 115132224 A CN115132224 A CN 115132224A CN 202110319218 A CN202110319218 A CN 202110319218A CN 115132224 A CN115132224 A CN 115132224A
- Authority
- CN
- China
- Prior art keywords
- terminal
- abnormal sound
- current
- preset
- camera motor
- 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
- 230000002159 abnormal effect Effects 0.000 title claims abstract description 178
- 238000003672 processing method Methods 0.000 title claims abstract description 16
- 238000000034 method Methods 0.000 claims abstract description 56
- 238000012545 processing Methods 0.000 claims abstract description 24
- 230000003213 activating effect Effects 0.000 claims description 6
- 230000001133 acceleration Effects 0.000 description 49
- 230000008859 change Effects 0.000 description 14
- 238000001514 detection method Methods 0.000 description 14
- 238000004891 communication Methods 0.000 description 10
- 230000009471 action Effects 0.000 description 8
- 230000003068 static effect Effects 0.000 description 8
- 238000007726 management method Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 6
- 238000010521 absorption reaction Methods 0.000 description 5
- 230000005672 electromagnetic field Effects 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000005265 energy consumption Methods 0.000 description 4
- 230000005236 sound signal Effects 0.000 description 4
- 238000000605 extraction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000004980 dosimetry Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 230000006641 stabilisation Effects 0.000 description 1
- 238000011105 stabilization Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; 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
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; 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
- G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
Landscapes
- Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Studio Devices (AREA)
Abstract
The application relates to an abnormal sound processing method, an abnormal sound processing device, a terminal and a storage medium, wherein the method comprises the following steps: determining whether the terminal is in a shaking state; when the terminal is determined to be in a shaking state, acquiring current sound information; identifying current sound information according to preset abnormal sound characteristics, and determining whether the camera motor generates abnormal sound or not in the terminal, wherein the preset abnormal sound characteristics represent sound characteristics of the camera motor generating abnormal sound; after determining that the abnormal sound occurs in the camera motor, starting the camera motor. According to the method, when the terminal shaking state is determined, the current sound information is identified according to the preset abnormal sound characteristics. If the abnormal sound of the camera motor is determined, the camera motor is started to be in a relatively stable focusing state, so that the camera motor is prevented from continuously generating large abnormal sound, and the abnormal sound is reduced or eliminated.
Description
Technical Field
The present application relates to the field of terminal technologies, and in particular, to an abnormal sound processing method and apparatus, a terminal, and a storage medium.
Background
At present, the photographing performance of terminals such as mobile phones and the like is higher and higher, and the requirement on a camera motor is higher and higher. In general, in order to support an auto-focus function or an anti-shake function, a camera head is provided with a focus Motor (e.g., a Voice Coil Motor (VCM)) and an Optical Image Stabilization (OIS) Motor for pushing a lens to achieve auto-focus and anti-shake, and the respective motors and the lens have a certain movement space.
However, the focusing motor is in a loose state when not in use, and the mobile phone will make abnormal sound when shaking due to a certain moving space.
Disclosure of Invention
In order to overcome the problems in the related art, the application provides an abnormal sound processing method, an abnormal sound processing device, a terminal and a storage medium.
According to a first aspect of embodiments of the present application, there is provided an abnormal sound processing method, the method including:
determining whether the terminal is in a shaking state;
when the terminal is determined to be in a shaking state, acquiring current sound information;
identifying the current sound information according to preset abnormal sound characteristics, and determining whether the camera motor generates abnormal sound in the terminal, wherein the preset abnormal sound characteristics represent sound characteristics of the camera motor generating abnormal sound;
starting the camera motor after determining that the abnormal sound occurs in the camera motor.
Optionally, the determining whether the terminal is in a shaking state includes:
acquiring a motion parameter of the terminal, wherein the motion parameter at least represents shaking intensity;
and if the motion parameters are determined to accord with the preset shaking conditions, determining that the terminal is in a shaking state.
Optionally, the identifying the current sound information according to a preset abnormal sound feature and determining whether an abnormal sound occurs to a camera motor in the terminal includes:
extracting current sound characteristics of the current sound information;
comparing the current sound characteristic with the preset abnormal sound characteristic;
and if the similarity between the current sound characteristic and the preset abnormal sound characteristic is greater than or equal to the preset similarity, determining that the camera motor generates abnormal sound.
Optionally, prior to said activating the camera motor, the method further comprises:
and determining that a human body exists in the first preset distance of the terminal.
Optionally, before the activating the camera motor, the method further comprises:
acquiring the current light intensity of the environment where the terminal is located; and the number of the first and second electrodes,
and determining that the current light intensity is greater than or equal to a preset light intensity.
Optionally, prior to said activating the camera motor, the method further comprises:
determining whether an obstacle is detected or not, and acquiring the current distance between the terminal and the obstacle when the obstacle is detected; and the number of the first and second electrodes,
and if the current distance is determined to be greater than or equal to the second preset distance.
According to a second aspect of embodiments of the present application, there is provided an abnormal sound processing apparatus, the apparatus including:
the first determining module is used for determining whether the terminal is in a shaking state;
the acquisition module is used for acquiring current sound information when the terminal is determined to be in a shaking state;
the second determining module is used for identifying the current sound information according to preset abnormal sound characteristics and determining whether the camera motor generates abnormal sound or not in the terminal, wherein the preset abnormal sound characteristics represent sound characteristics of abnormal sound generated by the camera motor;
the starting module is used for starting the camera motor after determining that the abnormal sound occurs to the camera motor.
Optionally, the first determining module is specifically configured to:
acquiring a motion parameter of the terminal, wherein the motion parameter at least represents shaking strength;
and if the motion parameters are determined to accord with the preset shaking conditions, determining that the terminal is in a shaking state.
Optionally, the second determining module is specifically configured to:
determining a current sound characteristic of the current sound information;
comparing the current sound characteristic with the preset abnormal sound characteristic;
and if the similarity between the current sound characteristic and the preset abnormal sound characteristic is greater than or equal to the preset similarity, determining that the abnormal sound occurs in the camera motor.
Optionally, the apparatus further comprises:
and the third determining module is used for determining that a human body exists in the first preset distance of the terminal before the camera motor is started.
Optionally, the apparatus further comprises:
a fourth determining module, configured to obtain a current light intensity of an environment where the terminal is located before the camera motor is started; and the number of the first and second electrodes,
and determining that the current light intensity is greater than or equal to a preset light intensity.
Optionally, the apparatus further comprises:
a fifth determining module, configured to determine whether an obstacle is detected before the camera motor is started, and acquire a current distance between the terminal and the obstacle when the obstacle is detected; and the number of the first and second electrodes,
and if the current distance is determined to be greater than or equal to the second preset distance.
According to a third aspect of embodiments of the present application, there is provided a terminal, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the method of the first aspect.
According to a fourth aspect of embodiments herein, there is provided a non-transitory computer readable storage medium having instructions which, when executed by a processor of a terminal, enable the terminal to perform the method of the first aspect.
The technical scheme provided by the embodiment of the application can have the following beneficial effects: according to the method, when the terminal shaking state is determined, the current sound information is obtained, and then the current sound information is identified according to the preset abnormal sound characteristics. If the abnormal sound of the camera motor is determined, the camera motor is started, so that the camera motor is in a relatively stable focusing state, the camera motor is prevented from continuously generating large abnormal sound, the abnormal sound is reduced or eliminated, the problem that the abnormal sound continuously occurs when the terminal shakes is solved, and the use experience of a user is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a flowchart illustrating an abnormal sound processing method according to an exemplary embodiment.
Fig. 2 is a block diagram illustrating an abnormal sound processing apparatus according to an exemplary embodiment.
Fig. 3 is a block diagram of a terminal shown in accordance with an example embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
The disclosure provides an abnormal sound processing method applied to a terminal. According to the method, when the terminal shaking state is determined, the current sound information is obtained, and then the current sound information is identified according to the preset abnormal sound characteristics. If the abnormal sound of the camera motor is determined, the camera motor is started, so that the camera motor is in a relatively stable focusing state, the camera motor is prevented from continuously generating large abnormal sound, the abnormal sound is reduced or eliminated, the problem that the abnormal sound continuously occurs when the terminal shakes is solved, and the use experience of a user is improved.
In one exemplary embodiment, an abnormal sound processing method is provided. Referring to fig. 1, the method includes:
s110, determining whether the terminal is in a shaking state;
s120, when the terminal is determined to be in a shaking state, acquiring current sound information;
s130, identifying current sound information according to preset abnormal sound characteristics, and determining whether the camera motor generates abnormal sound or not in the terminal, wherein the preset abnormal sound characteristics represent sound characteristics of the camera motor generating abnormal sound;
and S140, starting the camera motor after determining that the abnormal sound occurs in the camera motor.
In the method, whether the terminal is in a shaking state or not is determined, if the terminal is determined to be in the shaking state at present, abnormal sound possibly occurs in a camera motor of the terminal, and in order to improve accuracy of abnormal sound identification, current sound information of the terminal needs to be further acquired at the moment.
The current sound information of the terminal may generally include sound information derived from the environment in which the terminal is currently located and sound information currently derived from the inside of the terminal.
The original sound information of the terminal can be collected through the microphone, after the microphone is collected, the collected original sound information can be used as current sound information and sent to the processor of the terminal, and the processor can obtain the current sound information.
It should be noted that after the microphone finishes collecting the original sound information, the microphone may also transmit the collected original sound information to the audio codec, and the audio codec processes the original sound information to obtain the current sound information, and then transmits the current sound information to the processor, so that the processor can obtain the current sound information.
Since the abnormal sound of the camera motor can be recognized in the disclosure, the terminal can be a mobile phone, and in general, a camera in the mobile phone is arranged at the upper half position of the mobile phone, so that original sound information can be collected through a microphone at the top, abnormal sound information generated by shaking of the camera motor can be better collected, the collection effect of the original sound information can be improved, and further collision between the camera motor and other structures of the terminal can be better avoided through processing, and continuous abnormal sound can be emitted.
It should be noted that, when the original sound information is collected by the microphone, the microphone may also be disposed near the position of the camera motor, so as to better improve the sensitivity and reliability of sound collection.
In step S130, the preset abnormal sound feature represents a sound feature of the abnormal sound of the camera motor, and the preset abnormal sound feature may be already set by the terminal when the terminal leaves the factory, or may be set by the user. If the preset abnormal sound characteristics are set when the terminal leaves the factory, the preset abnormal sound characteristics can be modified according to the actual use condition of the terminal at the later stage.
For example, before the terminal leaves a factory, abnormal sounds occurring in a camera motor in the terminal can be collected, then feature extraction is performed on the abnormal sounds, and the abnormal sounds are stored in the terminal in advance as preset abnormal sound features.
In this step, the current sound information may be identified according to the preset abnormal sound feature, whether the current sound information matches the preset abnormal sound feature is determined, and if so, it is determined that the camera motor in the terminal has abnormal sound.
In step S140, after the abnormal sound of the camera motor is determined, the camera motor may be powered on by controlling the power management chip, so as to start the camera motor, so that the camera motor is in a focusing state, and is fixed in a stable state, and does not shake with the shake of the terminal, thereby avoiding the continuous abnormal sound of the camera motor, and eliminating or reducing the abnormal sound of the camera motor.
It should be noted that, the camera motor may be in a stationary state relative to the terminal through other manners, for example, a fixing elastic sheet is disposed in the camera motor, and when it is determined that the camera motor has abnormal sound, the fixing elastic sheet may be controlled to pop up, so that the camera motor is clamped in the terminal and no longer emits abnormal sound.
According to the method, when the terminal shaking state is determined, the current sound information is acquired, the problem that abnormal sound continuously occurs when the terminal shakes is solved, frequent acquisition of the current sound information can be avoided, and energy consumption of the terminal is reduced.
In one exemplary embodiment, an abnormal sound processing method is provided and applied to a terminal. In the method, according to the preset abnormal sound characteristics, the current sound information is identified, and whether the camera motor in the terminal generates abnormal sound is determined, which comprises the following steps:
s210, extracting current sound characteristics of current sound information;
s220, comparing the current sound characteristic with a preset abnormal sound characteristic;
and S230, if the similarity between the current sound characteristic and the preset abnormal sound characteristic is greater than or equal to the preset similarity, determining that the abnormal sound occurs in the camera motor.
In step S210, the current sound feature is the same as the preset abnormal sound feature in feature type. For example, if the preset abnormal sound feature includes a tone, the determined current sound feature also includes a tone; if the preset abnormal sound feature comprises loudness, the determined current sound feature also comprises the loudness. The method for determining the current sound characteristic is not described herein.
In step S220, after the current sound characteristic is determined, the determined current sound characteristic is compared with a preset abnormal sound characteristic, so as to determine whether the current sound information is an abnormal sound occurring in the camera motor.
In step S230, the preset similarity may be set by the terminal when the terminal leaves the factory, or may be set by the user. If the preset similarity is set when the terminal leaves the factory, the preset similarity can be modified in the later period according to the actual use condition of the terminal.
When the preset abnormal sound feature includes a plurality of features, a preset similarity may be set for each feature, or the same preset similarity may be set for all the features.
In the case of the example 1, the following,
the preset abnormal sound features include three features of tone, loudness and timbre, each feature corresponds to the same preset similarity, and the preset similarity may be 80%.
After the current sound information is obtained, feature extraction is carried out on the current sound information, and current sound features including tone, loudness and timbre are determined. And then comparing the current sound characteristic with a preset abnormal sound characteristic, and if the similarity of the three characteristics is greater than or equal to 80%, determining that the current sound information is matched with the preset abnormal sound characteristic, and determining that the abnormal sound occurs in the camera motor. Otherwise, it is determined that the abnormal sound does not occur to the camera motor.
In the case of example 2, the following example was carried out,
the preset abnormal sound features comprise three features of tone, loudness and timbre, wherein each feature corresponds to different preset similarities, the preset similarity corresponding to the tone is 80%, the preset similarity corresponding to the loudness is 70%, and the preset similarity corresponding to the timbre is 90%.
After the current sound information is obtained, feature extraction is carried out on the current sound information, and current sound features including tone, loudness and timbre are determined. And then comparing the current sound characteristic with a preset abnormal sound characteristic, and if the similarity of the tone is greater than or equal to 80%, the similarity of the loudness is greater than or equal to 70%, and the similarity of the tone color is greater than or equal to 90%, determining that the current sound information is matched with the preset abnormal sound characteristic, and determining that the abnormal sound occurs in the camera motor. Otherwise, it is determined that the abnormal sound does not occur to the camera motor.
Naturally, a plurality of sound features may also be fused, and the similarity of the fused feature is set, for example, by using a neural network model, a preset abnormal sound feature sample set of abnormal sound generated by the camera motor may be obtained in advance, model training is performed based on the preset abnormal sound feature sample set, a trained abnormal sound recognition model is obtained, and then after the current sound feature is extracted, the current sound feature is recognized by the abnormal sound recognition model, and whether the abnormal sound occurs in the camera motor is determined.
According to the method, whether abnormal sound occurs in the camera motor is determined by comparing the current sound characteristic with the preset abnormal sound characteristic, the judgment result is accurate, and the user experience is good.
In one exemplary embodiment, an abnormal sound processing method is provided and applied to a terminal. The method for determining whether the terminal is in a shaking state comprises the following steps:
s310, acquiring motion parameters of the terminal; wherein the motion parameter is at least indicative of the intensity of the shaking.
And S320, determining that the motion parameters meet a preset shaking condition, and determining that the terminal is in a shaking state.
In step S310, the motion parameters include one or any of the following: current acceleration, current speed of change of inclination angle, current frequency of change of direction of motion, and the like. Of course, the motion parameters may also include other parameters that can represent the intensity of shaking, which are not described herein.
In step S320, the preset shaking condition refers to a condition that can represent that the terminal is in a shaking state.
For example, the motion parameter includes a current acceleration, and the preset shaking condition may be: the current acceleration is greater than or equal to a preset acceleration (e.g., 50 m/s) 2 )。
For another example, the motion parameter includes a current change speed of the inclination angle, and the preset shaking condition may be: the current change speed of the inclination angle is greater than or equal to the preset change speed.
Wherein, the inclination angle can be detected by a gravity sensor or an angle sensor.
For another example, the motion parameter includes a current change frequency of the motion direction, and the preset shaking condition may be: the current change frequency of the motion direction is greater than or equal to the preset change frequency.
Wherein, the moving direction can be detected by a device which can detect the direction, such as an electronic compass.
Of course, the motion parameters may also include multiple parameters mentioned above.
For example, the motion parameter includes both the current acceleration and the current change frequency of the motion direction, and the preset shaking condition may be: the current acceleration is greater than or equal to the preset acceleration, and the current change frequency of the motion direction is greater than or equal to the preset change frequency.
In one exemplary embodiment, an abnormal sound processing method is provided and applied to a terminal. In the method, the motion parameter is the current acceleration.
The current acceleration can be detected by the acceleration sensor and then transmitted to the processor, and the processor can acquire the current acceleration of the terminal.
Note that, in general, the a (acceleration) sensor and the G (gyro) sensor are integrated, and in order to facilitate purchase of parts, the a (acceleration) + G (gyro) sensor may be set to detect the current acceleration.
In the method, the setting mode of the preset acceleration is similar to the setting mode of the preset abnormal sound characteristic.
The preset acceleration may be set by the terminal when the terminal leaves the factory, or may be set by the user. If the preset acceleration is set when the terminal leaves the factory, the preset acceleration can be modified according to the actual use condition of the terminal at the later stage.
For example, before the terminal leaves a factory, the camera motor of the terminal is shaken to generate abnormal sound, the current acceleration of the terminal is detected, and then the acceleration is stored in the terminal in advance as the preset acceleration.
When the acceleration of the terminal is the preset acceleration, the terminal is in a shaking state. Therefore, it can be considered that when the acceleration of the terminal is greater than the preset acceleration, the terminal is still in the shaking state. That is, if the current acceleration of the terminal is greater than or equal to the preset acceleration, it is determined that the terminal is in the shaking state.
It can be understood that if the current acceleration of the terminal is smaller than the preset acceleration, it is determined that the terminal is not in a shaking state, and a subsequent action of acquiring the current sound information is not performed, so that energy consumption is reduced.
It should be noted that, when the terminal is in a shaking state, there is a possibility that the environment where the terminal is located is noisy and the abnormal sound generated by the camera motor is not obvious, and therefore, the method further designs that whether the camera motor needs to be controlled is determined by comparing the current sound information with the preset abnormal sound feature. If the sound in the environment is large, the user can hardly feel abnormal sound of the camera motor, the similarity between the current sound information and the preset sound information is smaller than the preset similarity, the camera motor does not need to be controlled to be in a static state relative to the terminal, namely, the camera motor is not considered to be abnormal sound, and the processor does not control the camera motor to be in the static state relative to the terminal, so that unnecessary control is avoided, and the energy consumption of the terminal is saved.
By way of example only, it is possible to illustrate,
the terminal can be a mobile phone, and an A + G sensor is arranged on the mobile phone.
In this example, the a + G sensor detects the current acceleration of the mobile phone in real time or in a set period, and then transmits the detection result to the processor, so that the processor can obtain the current acceleration of the mobile phone.
The processor obtains the current acceleration of the mobile phone and compares the current acceleration with a preset acceleration, wherein the preset acceleration can be 50m/s 2 . If the current acceleration value is greater than or equal to 50m/s 2 And determining that the mobile phone is in a shaking state.
When the mobile phone is in a shaking state, the processor controls the microphone to collect original sound information, then the original sound information is transmitted to the audio codec, current sound information is obtained through processing of the audio codec and is transmitted to the processor, and the processor acquires the current sound information.
It should be noted that, in addition to the above-described determination of the shaking state of the terminal by the acceleration, it may also be determined whether the terminal is in the shaking state by other motion state information, and the other motion state information may include, for example, a speed, a change speed of an inclination angle, and the like, which is not described herein again.
According to the method, the current state of the terminal is determined through the current acceleration of the terminal, and the step of obtaining the current sound information is executed only when the terminal is determined to be in the shaking state currently, so that the current sound information can be prevented from being obtained frequently and continuously, and the energy consumption of the terminal is reduced.
In one exemplary embodiment, an abnormal sound processing method is provided and applied to a terminal. The method further comprises the following steps:
s410, determining whether a human body exists in a first preset distance of the terminal;
and S420, if the human body exists in the first preset distance of the terminal, starting a camera motor.
That is, in this method, it is also necessary to determine that a human body exists within a first preset distance of the terminal before starting the camera motor.
It should be noted that, when the terminal is in some environments, even if it is determined that the abnormal sound occurs in the camera motor, the abnormal sound is not heard by the user and does not affect the user.
For example, the terminal is packed into express delivery parcel, and in the transportation, because jolting leads to the terminal to be in the state of rocking, at this moment, because there is not the user to use the terminal, the abnormal sound of camera motor can not cause the interference to the user, consequently, need not to control that camera motor is static relative to the terminal.
In view of the above situation, in the method, it may be determined whether a human body exists within a first preset distance of the terminal, that is, whether the terminal that has sent an abnormality is in a state of being used by a user.
The present disclosure provides a possible implementation, in general, under the action of an external electromagnetic field, an induced electromagnetic field will be generated in the human body, and the international scientific community quantifies and measures the radiation with a "SAR" value. The SAR is generally called Specific Absorption Rate in english, and the chinese is generally called electromagnetic wave Absorption ratio, Specific Absorption Rate or electromagnetic wave Absorption ratio. It is defined as: under the action of the external electromagnetic field, an induced electromagnetic field is generated in the human body. Since various organs of the human body are lossy media, electromagnetic fields in the body will generate currents that result in the absorption and dissipation of electromagnetic energy. SAR is commonly used in biological dosimetry to characterize this physical process. SAR has the meaning of the electromagnetic power absorbed or consumed per unit mass of human tissue, in W/kg, US standard (1.6mw/g, 1g average).
Therefore, an SAR sensor can be arranged in the terminal, and whether a human body exists within a first preset distance of the terminal or not can be determined through the SAR sensor.
It should be noted that whether a human body exists within the first preset distance may also be determined in other ways.
For example, a temperature sensor and a distance sensor may be provided in the terminal. And if the temperature sensor detects that the current temperature belongs to a preset temperature range (for example, 30-40 ℃), and the current distance detected by the distance sensor is less than or equal to the first preset distance, determining that a human body exists in the first preset distance of the terminal.
For another example, the image may be acquired by a camera, and face recognition and detection may be performed, so as to determine whether a human body exists within a first preset distance of the terminal.
In the method, whether a human body exists in a first preset distance of the terminal needs to be detected, and when the human body exists, the terminal is in a state used by a user.
In one exemplary embodiment, an abnormal sound processing method is provided and applied to a terminal. The method further comprises the following steps:
s510, obtaining the current light intensity of the environment where the terminal is located;
s520, determining whether the current light intensity is greater than or equal to the preset light intensity;
s530, if the current light intensity is determined to be larger than or equal to the preset light intensity, the camera motor is started.
When the terminal is in the black box environment such as a package, a backpack and the like, the abnormal sound of the camera motor does not affect the user, and when the terminal is in the package, the light intensity of the environment where the terminal is located is weak, so that whether the camera motor needs to be started or not can be determined according to the light intensity of the environment where the terminal is located.
In the method, the current light intensity can be detected by a light sensor. The preset light intensity is similar to the preset acceleration setting mode, and can be preset before the terminal leaves a factory, and can also be set, modified and the like by a user.
By way of example only, it is possible to illustrate,
the terminal may also be provided with a light sensor. When the abnormal sound of the camera motor of the terminal is determined, the processor of the terminal controls the light ray sensor to detect the current light ray intensity, the light ray sensor transmits the current light ray intensity to the processor after detecting the current light ray intensity, and the processor acquires the current light ray intensity.
After obtaining the current light intensity, the processor compares the current light intensity with a preset light intensity, which may be 50Lux (Lux). If the current light intensity is less than 50Lux, the terminal is considered to be in a black box environment like a package, and at the moment, the camera motor does not need to be started. If the current light intensity is greater than or equal to 50Lux, the terminal is not in the black box environment, and the camera motor can be started, so that the camera motor is in a static state relative to the terminal, and abnormal sound is eliminated.
In addition, in this method, it is also possible to determine whether or not an obstacle exists directly from the current distance detected by the distance sensor. If the current distance is less than a third preset distance (e.g., 50cm), it is determined that an obstacle exists.
It should be noted that, when the terminal is in a black box environment such as a parcel, a pocket, a backpack, etc., the distance between the terminal and the obstacle is generally smaller, and therefore, the detection of the current distance between the terminal and the obstacle can also be increased. That is, the method may further include:
s610, determining whether an obstacle is detected or not, and acquiring the current distance between the terminal and the obstacle when the obstacle is detected;
s620, determining whether the current distance is greater than or equal to a second preset distance;
and S630, if the current distance is determined to be greater than or equal to the second preset distance, starting the camera motor.
According to the method, whether the obstacle exists or not can be detected through the camera, and if the obstacle exists, the current distance between the terminal and the obstacle is detected. The current distance can be detected by a distance sensor. The preset second distance is similar to the preset light intensity, and may be preset before the terminal leaves the factory, or may be set, modified, and the like by the user.
As an example of this, it is possible to illustrate,
the terminal may also be provided with a distance sensor. When the abnormal sound of the camera motor of the terminal is determined, the processor of the terminal controls the distance sensor to detect the current distance, and after the distance sensor detects the current distance, the distance sensor transmits the current distance to the processor, so that the processor acquires the current distance.
And after the processor acquires the current distance, comparing the current distance with a preset second distance, wherein the preset distance can be 5 cm. If the current distance is less than 5cm, the terminal is considered to be in a black box environment like a package, and at the moment, a camera motor does not need to be started. If the current distance is greater than or equal to 5cm, the terminal is not in the black box environment, and the camera motor can be started, so that the camera motor is in a static state relative to the terminal, and abnormal sound is eliminated.
In addition, a light sensor and a distance sensor can be arranged in the terminal at the same time so as to accurately determine that the terminal is in a black box environment.
By way of example only, it is possible to illustrate,
the terminal may be a mobile phone provided with a light sensor and a distance sensor, the preset light intensity may be 50Lux (Lux), and the preset second distance may be set to 5 cm.
The processor of the mobile phone controls the light sensor to detect the current light intensity of the environment where the mobile phone is located, and controls the distance sensor to detect the current distance between the mobile phone and the obstacle.
And after receiving the current light intensity from the light sensor and the current distance from the distance sensor, the processor compares the current light intensity with the preset light intensity and compares the current distance with the preset second distance. And if the current light intensity is greater than or equal to 50Lux and the current distance is greater than or equal to 5cm, determining that the mobile phone is not in the black box environment, namely determining that the mobile phone is in the non-black box environment. Otherwise, determining that the environment is in a black box environment.
In addition, in this example, it is also possible to provide: and if the current light intensity is less than 50Lux and the current distance is less than 5cm, determining that the mobile phone is in the black box environment. Otherwise, determining that the environment is not in the black box environment.
It should be noted that whether the terminal is in the black box environment may also be determined in other ways, which is not described herein.
In the method, the camera motor is started only when the abnormal sound of the camera motor is determined and the terminal is not in the black box environment, so that the camera motor is in a static state relative to the terminal, and the use experience of a user is further improved.
It should be noted that, when the light sensor and the distance sensor are simultaneously arranged in the terminal, the processor can control the two sensors to be started simultaneously; or the light sensor can be controlled to start first, and then the distance sensor can be controlled to start; or, the distance sensor is controlled to start firstly, and then the light sensor is controlled to start. That is, steps S510 to S530 and steps S610 to S630 may be executed successively or simultaneously, which is not limited herein.
In addition, in the abnormal sound processing process, if the detection of the shaking state, the detection of the human body and the detection of the black box environment are set at the same time, the three detections can be performed simultaneously, sequentially or alternately, and the detection is not limited. It can be understood that, the order of the detection of the human body, the detection of the black box environment, and the detection of the current sound information is not limited. However, only when it is determined that the terminal is in a shaking state, the current sound information is detected, the current sound information is acquired, and it is then determined whether an abnormal sound occurs in the camera motor. Only when abnormal sound occurs to the camera motor, a human body exists in the first preset distance of the terminal, and the terminal is not in the black box environment, the camera motor can be started, and abnormal sound generated by the camera motor is eliminated.
In an exemplary embodiment, an abnormal sound processing method is provided, and is applied to a terminal, and the terminal may be a mobile phone.
In the method, the motion parameter is taken as the acceleration as an example, the current acceleration of the terminal is detected in real time or periodically, and then the current acceleration is compared with the preset acceleration. And if the current acceleration is smaller than the preset acceleration, determining that the terminal is not in a shaking state, and the processor does not execute subsequent related actions. And if the current acceleration is greater than or equal to the preset acceleration, determining that the terminal is in a shaking state.
After the terminal is determined to be in the shaking state, a microphone of the control terminal collects original sound information (including sound from the inside of the terminal and sound from the environment where the terminal is located) of the terminal, and then the original sound information is transmitted to an audio de-encoder, the audio de-encoder processes the original sound information to generate current sound information, and then the current sound information is transmitted to a processor of the terminal, and the processor acquires the current sound information.
And after the processor acquires the current sound information, processing the current sound information to obtain the current sound characteristic. And then comparing the current sound characteristic with a preset abnormal sound characteristic. If the similarity between the current sound characteristic and the preset abnormal sound characteristic does not reach the preset similarity (for example, 80%), it is determined that abnormal sound does not occur in the camera motor, and the processor of the terminal does not perform subsequent actions. If the similarity between the current sound feature and the preset abnormal sound feature reaches a preset similarity (for example, 80%), it is determined that abnormal sound occurs in the camera motor.
For example, taking an example that the SAR sensor is used to detect whether a human body exists within a first preset distance of the terminal, after it is determined that the camera motor has abnormal sound, the SAR sensor of the terminal is controlled to start working, the SAR sensor transmits a detection result to the processor, and the processor determines whether a human body exists within the first preset distance of the terminal according to the detection result. If the situation that no human body exists in the first preset distance of the terminal is determined, the shaking state is not caused by shaking of the user, the processor of the terminal does not execute subsequent actions, and the power management chip is not controlled to power on the camera motor. If it is determined that a human body exists within the first preset distance of the terminal, the shaking state of the terminal is considered to be caused by shaking of the user, and the user may hear abnormal sound of the camera motor.
Furthermore, in order to improve accuracy, the situation that a camera motor is started in a scene that people cannot hear abnormal sounds and power consumption is increased is reduced or avoided, after the shaking state of the terminal is determined to be caused by shaking of the user, the light sensor and the distance sensor of the terminal are controlled to work, and then whether the terminal is in a pocket or a backpack of the user is determined according to detection results of the light sensor and the distance sensor. If the terminal is determined to be in a pocket or a backpack, the processor of the terminal does not perform subsequent actions and does not control the power management chip to power on the camera motor. And if the terminal is determined not to be in the pocket or the backpack, controlling the power management chip to electrify the camera motor, and starting the camera motor to enable the camera motor to be in a static state relative to the terminal.
The method can accurately judge whether the abnormal sound occurs to the camera motor because the user shakes the terminal. After the situation is determined, the processor sends a command to the power management chip, the camera motor is powered on, the camera motor is started, and the camera motor is in a focusing state, so that the camera motor can be kept still when the terminal shakes, abnormal sound generated by the camera motor continuously is avoided, user use experience is remarkably improved, and the influence of the user on the market due to the confusion of product quality is avoided.
In one exemplary embodiment, an abnormal sound processing apparatus is provided and applied to a terminal. The device is used for implementing the abnormal sound prevention method. Referring to fig. 2, the apparatus includes an obtaining module 101, a first determining module 102a, a second determining module 102b, and a starting module 103, and in the process of implementing the method:
a first determining module 102a, configured to determine whether the terminal is in a shaking state;
the acquisition module 101 is configured to acquire current sound information when it is determined that the terminal is in a shaking state;
the second determining module 102b is configured to identify current sound information according to a preset abnormal sound feature, and determine whether an abnormal sound occurs to the camera motor in the terminal, where the preset abnormal sound feature represents a sound feature of the abnormal sound occurring to the camera motor;
the starting module 103 is configured to start the camera motor after determining that the abnormal sound occurs in the camera motor.
In one exemplary embodiment, an abnormal sound processing apparatus is provided, which is applied to a terminal. Referring to fig. 2, in the apparatus, the second determining module 102b is specifically configured to:
determining current sound characteristics of current sound information;
comparing the current sound characteristic with a preset abnormal sound characteristic;
and if the similarity between the current sound characteristic and the preset abnormal sound characteristic is greater than or equal to the preset similarity, determining that the abnormal sound occurs in the camera motor.
In one exemplary embodiment, an abnormal sound processing apparatus is provided, which is applied to a terminal. Referring to fig. 2, in the apparatus, the first determining module 102a is specifically configured to:
acquiring a motion parameter of the terminal, wherein the motion parameter at least represents the shaking intensity;
and if the motion parameters are determined to accord with the preset shaking conditions, determining that the terminal is in a shaking state.
In one exemplary embodiment, an abnormal sound processing apparatus is provided, which is applied to a terminal. Referring to fig. 2, the apparatus further includes:
the third determining module 102c is configured to determine that a human body exists within the first preset distance of the terminal before the camera motor is started.
In one exemplary embodiment, an abnormal sound processing apparatus is provided, which is applied to a terminal. Referring to fig. 2, the apparatus further includes:
a fourth determining module 102d, configured to obtain a current light intensity of an environment where the terminal is located before the camera motor is started; and the number of the first and second electrodes,
and determining that the current light intensity is greater than or equal to the preset light intensity.
In one exemplary embodiment, an abnormal sound processing apparatus is provided and applied to a terminal. Referring to fig. 2, the apparatus further includes:
a fifth determining module 102e, configured to determine whether an obstacle is detected before starting the camera motor, and obtain a current distance between the terminal and the obstacle when the obstacle is determined to be detected; and the number of the first and second antennas is increased,
and if the current distance is determined to be greater than or equal to the second preset distance.
The application also provides a terminal which can be a mobile phone, a tablet computer, a notebook computer, a video camera, a camera and other equipment with a camera motor.
In an exemplary embodiment, as illustrated with reference to fig. 3, the terminal 400 may include one or more of the following components: a processing component 402, a memory 404, a power component 406, a multimedia component 408, an audio component 410, an interface for input/output (I/O) 412, a sensor component 414, and a communication component 416.
The processing component 402 generally controls overall operation of the terminal 400, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 402 may include one or more processors 420 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 402 can include one or more modules that facilitate interaction between the processing component 402 and other components. For example, the processing component 402 can include a multimedia module to facilitate interaction between the multimedia component 408 and the processing component 402.
The memory 404 is configured to store various types of data to support operations at the terminal 400. Examples of such data include instructions for any application or method operating on the terminal 400, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 404 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power components 406 provide power to the various components of the terminal 400. The power components 406 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the terminal 400.
The multimedia component 408 includes a screen providing an output interface between the terminal 400 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 408 includes a front camera module and/or a rear camera module. The front camera module and/or the rear camera module can receive external multimedia data when the terminal 400 is in an operation mode, such as a shooting mode or a video mode. Each front camera module and rear camera module may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 410 is configured to output and/or input audio signals. For example, the audio component 410 includes a Microphone (MIC) configured to receive external audio signals when the terminal 400 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 404 or transmitted via the communication component 416. In some embodiments, audio component 410 also includes a speaker for outputting audio signals.
The I/O interface 412 provides an interface between the processing component 402 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor component 414 includes one or more sensors for providing various aspects of status assessment for the terminal 400. For example, the sensor assembly 414 can detect an open/closed state of the terminal 400, relative positioning of components, such as a display and keypad of the terminal 400, the sensor assembly 414 can also detect a change in position of the terminal 400 or a component of the terminal 400, the presence or absence of user contact with the terminal 400, orientation or acceleration/deceleration of the terminal 400, and a change in temperature of the terminal 400. The sensor assembly 414 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 414 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 414 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 416 is configured to facilitate communications between the terminal 400 and other devices in a wired or wireless manner. The device 700 may access a wireless network based on a communication standard, such as WiFi, 2G, 3G, 4G, 5G, or a combination thereof. In an exemplary embodiment, the communication component 416 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 416 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the terminal 400 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer-readable storage medium comprising instructions, such as the memory 404 comprising instructions, executable by the processor 420 of the terminal 400 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like. The instructions in the storage medium, when executed by the processor of the terminal, enable the terminal to perform the methods shown in the above embodiments.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
It will be understood that the invention is not limited to the precise arrangements that have been described above and shown in the drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (14)
1. An abnormal sound processing method, comprising:
determining whether the terminal is in a shaking state;
when the terminal is determined to be in a shaking state, acquiring current sound information;
identifying the current sound information according to preset abnormal sound characteristics, and determining whether the camera motor generates abnormal sound in the terminal, wherein the preset abnormal sound characteristics represent sound characteristics of the camera motor generating abnormal sound;
starting the camera motor after determining that the abnormal sound occurs in the camera motor.
2. The method of claim 1, wherein the determining whether the terminal is in a shaking state comprises:
acquiring a motion parameter of the terminal, wherein the motion parameter at least represents shaking intensity;
and if the motion parameters are determined to accord with the preset shaking conditions, determining that the terminal is in a shaking state.
3. The method according to claim 1, wherein the identifying the current sound information according to a preset abnormal sound feature and determining whether an abnormal sound occurs in a camera motor in the terminal comprises:
extracting current sound characteristics of the current sound information;
comparing the current sound characteristic with the preset abnormal sound characteristic;
and if the similarity between the current sound characteristic and the preset abnormal sound characteristic is greater than or equal to the preset similarity, determining that the abnormal sound occurs in the camera motor.
4. The method of any of claims 1-3, wherein prior to said activating the camera motor, the method further comprises:
and determining that a human body exists in the first preset distance of the terminal.
5. The method of any of claims 1-3, wherein prior to said activating the camera motor, the method further comprises:
acquiring the current light intensity of the environment where the terminal is located; and the number of the first and second electrodes,
and determining that the current light intensity is greater than or equal to a preset light intensity.
6. The method of any of claims 1-3, wherein prior to said activating the camera motor, the method further comprises:
determining whether an obstacle is detected or not, and acquiring the current distance between the terminal and the obstacle when the obstacle is detected; and the number of the first and second electrodes,
and if the current distance is determined to be greater than or equal to the second preset distance.
7. An abnormal sound processing apparatus, comprising:
the first determining module is used for determining whether the terminal is in a shaking state;
the acquisition module is used for acquiring current sound information when the terminal is determined to be in a shaking state;
the second determining module is used for identifying the current sound information according to preset abnormal sound characteristics and determining whether the camera motor generates abnormal sound or not in the terminal, wherein the preset abnormal sound characteristics represent sound characteristics of abnormal sound generated by the camera motor;
the starting module is used for starting the camera motor after determining that the abnormal sound occurs to the camera motor.
8. The apparatus of claim 7, wherein the first determining module is specifically configured to:
acquiring a motion parameter of the terminal, wherein the motion parameter at least represents shaking intensity;
and if the motion parameters are determined to accord with the preset shaking conditions, determining that the terminal is in a shaking state.
9. The apparatus of claim 7, wherein the second determining module is specifically configured to:
determining a current sound characteristic of the current sound information;
comparing the current sound characteristic with the preset abnormal sound characteristic;
and if the similarity between the current sound characteristic and the preset abnormal sound characteristic is greater than or equal to the preset similarity, determining that the abnormal sound occurs in the camera motor.
10. The apparatus according to any one of claims 7-9, further comprising:
and the third determining module is used for determining that a human body exists in the first preset distance of the terminal before the camera motor is started.
11. The apparatus according to any one of claims 7-9, further comprising:
a fourth determining module, configured to obtain a current light intensity of an environment where the terminal is located before the camera motor is started; and the number of the first and second electrodes,
and determining that the current light intensity is greater than or equal to a preset light intensity.
12. The apparatus according to any one of claims 7-9, further comprising:
a fifth determining module, configured to determine whether an obstacle is detected before the camera motor is started, and acquire a current distance between the terminal and the obstacle when the obstacle is detected; and the number of the first and second electrodes,
and if the current distance is determined to be greater than or equal to the second preset distance.
13. A terminal, characterized in that the terminal comprises:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the method of any one of claims 1 to 6.
14. A non-transitory computer readable storage medium, wherein instructions in the storage medium, when executed by a processor of a terminal, enable the terminal to perform the method of any of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110319218.3A CN115132224A (en) | 2021-03-25 | 2021-03-25 | Abnormal sound processing method, device, terminal and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110319218.3A CN115132224A (en) | 2021-03-25 | 2021-03-25 | Abnormal sound processing method, device, terminal and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115132224A true CN115132224A (en) | 2022-09-30 |
Family
ID=83374640
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110319218.3A Pending CN115132224A (en) | 2021-03-25 | 2021-03-25 | Abnormal sound processing method, device, terminal and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115132224A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116074615A (en) * | 2023-03-07 | 2023-05-05 | 荣耀终端有限公司 | Camera control method and device and terminal equipment |
| CN116668828A (en) * | 2022-12-12 | 2023-08-29 | 荣耀终端有限公司 | Control method of camera module and related equipment |
| CN116708958A (en) * | 2022-11-18 | 2023-09-05 | 荣耀终端有限公司 | Motor control method and electronic equipment |
-
2021
- 2021-03-25 CN CN202110319218.3A patent/CN115132224A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116708958A (en) * | 2022-11-18 | 2023-09-05 | 荣耀终端有限公司 | Motor control method and electronic equipment |
| CN116668828A (en) * | 2022-12-12 | 2023-08-29 | 荣耀终端有限公司 | Control method of camera module and related equipment |
| CN116074615A (en) * | 2023-03-07 | 2023-05-05 | 荣耀终端有限公司 | Camera control method and device and terminal equipment |
| CN116074615B (en) * | 2023-03-07 | 2023-09-08 | 荣耀终端有限公司 | Camera control method and device and terminal equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10375296B2 (en) | Methods apparatuses, and storage mediums for adjusting camera shooting angle | |
| CN114365476A (en) | Shooting method and equipment | |
| CN115132224A (en) | Abnormal sound processing method, device, terminal and storage medium | |
| CN112669583B (en) | Alarm threshold adjusting method and device, electronic equipment and storage medium | |
| EP3136793A1 (en) | Method and apparatus for awakening electronic device | |
| US9924090B2 (en) | Method and device for acquiring iris image | |
| US10230891B2 (en) | Method, device and medium of photography prompts | |
| CN111917980B (en) | Photographing control method and device, storage medium and electronic equipment | |
| CN109145679A (en) | A kind of method, apparatus and system issuing warning information | |
| CN110619873A (en) | Audio processing method, device and storage medium | |
| WO2021103994A1 (en) | Model training method and apparatus for information recommendation, electronic device and medium | |
| CN112135035B (en) | Control method and device of image acquisition assembly and storage medium | |
| US10810439B2 (en) | Video identification method and device | |
| CN112489653B (en) | Speech recognition method, device and storage medium | |
| CN108509863A (en) | Information cuing method, device and electronic equipment | |
| CN109255839B (en) | Scene adjustment method and device | |
| CN107948876B (en) | Method, device and medium for controlling sound box equipment | |
| CN110636377A (en) | Video processing method, device, storage medium, terminal and server | |
| CN108962189A (en) | Luminance regulating method and device | |
| US11715234B2 (en) | Image acquisition method, image acquisition device, and storage medium | |
| CN113315903B (en) | Image acquisition method and device, electronic equipment and storage medium | |
| CN108830194B (en) | Biological feature recognition method and device | |
| CN111385400A (en) | Backlight brightness adjusting method and device | |
| KR20210133104A (en) | Method and device for shooting image, and storage medium | |
| CN113450537B (en) | Fall detection method, fall detection device, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |