298 results about "Mems microphone" patented technology

The invention relates to a hidden ultrasonic sensing system suitable for advanced driver assistance. Exemplary sensor controllers, sensors, sensing systems, and sensing methods that can enable cost-effective implementation of ADAS (Advanced Driver Assistance System) features with hidden sensors. As one example, an exemplary sensing method includes emitting a train of acoustic pulses through a surface on an ultrasonic transducer; receiving the acoustic signal with a MEMS (Micro Electro Mechanical System) microphone, the MEMS microphone representing the acoustic signal as an electrically received signal; and processing the electrical receive signal to detect reflections of the acoustic pulse train.

The invention relates to the technical field of transformers, and discloses a transformer voiceprint anomaly detection method, which comprises the following steps of: acquiring voiceprint signals during operation of a transformer by adopting a plurality of high-sensitivity voiceprint sensors; the collected voiceprint signals are preprocessed; extracting a time domain feature, a frequency spectrum feature and a deep feature of the voiceprint signal; fusing the time domain feature, the frequency domain feature and the deep learning feature to form a comprehensive feature vector; an anomaly detection model is established by adopting a support vector machine, and an attention mechanism is introduced into the model. According to the transformer voiceprint anomaly detection method, high resolution and high signal-to-noise ratio of voiceprint signals are ensured through the multi-sensor layout and the high-sensitivity MEMS microphone, and the multi-sensor layout can cover different positions of the transformer, so that the running state of the transformer is more comprehensively captured, and the detection accuracy is improved. The extraction of time domain features and frequency spectrum features describes the characteristics of voiceprint signals from different angles.

Disclosed in the present invention is a high-dynamic capacitive digital microphone system based on electrostatic force feedback. The system comprises an MEMS microphone and an interface circuit chip thereof, wherein the interface circuit chip comprises a charge pump, an analog front end, an analog-to-digital conversion circuit, an amplitude detection module, an amplitude adjustment control module and a pulse density modulation module. In the present invention, the characteristic of the sensitivity being able to be adjusted by means of changing a bias voltage by a capacitive sensor is used, and a charge pump with an adjustable output voltage is used to provide electrostatic force feedback, thereby further expanding the adjustable range of a front-end gain, and also reducing requirements for the noise performance of a readout circuit. Therefore, the system in the present application has the characteristics of high dynamic range and high-precision quantization.

The invention relates to the technical field of power battery safety monitoring, in particular to a power battery thermal runaway voiceprint early warning method and system, and the method comprises the steps: collecting voiceprint signals in a battery pack cooling pipeline through an MEMS microphone array, and especially paying attention to the acoustic characteristics of a 23-28kHz frequency band; constructing a multi-scale convolutional recurrent neural network voiceprint recognition model which comprises a cascade residual feature extraction network, a three-path parallel multi-scale convolutional layer, an adaptive attention mechanism, a feature fusion layer and a long-short term memory network layer; calculating a voiceprint signal entropy value and comparing the voiceprint signal entropy value with a preset threshold value; meanwhile, the deformation of the battery cell is monitored through a band-shaped Bragg grating sensor; when the voiceprint entropy value exceeds 2.8 times of the historical average value and lasts for 20 seconds, and meanwhile, the deformation of the battery cell reaches 0.15%, thermal runaway early warning is triggered, a multi-stage early warning mechanism is arranged, early warning can be given out 10-30 minutes before thermal runaway occurs, and sufficient time is provided for taking safety measures.

The invention discloses an MEMS microphone and an electronic device. The MEMS microphone comprises a substrate structure, a diaphragm structure, a support structure and a back electrode structure. The vibrating diaphragm structure is stacked on one side of the substrate structure, the vibrating diaphragm structure comprises a first functional area located in the center and a plurality of second functional areas connected to the peripheral side of the first functional area and arranged in pairs, and each pair of second functional areas are located on the two opposite sides of the first functional area respectively; the supporting structure is stacked on one side of the substrate structure and surrounds the outer side of the vibrating diaphragm structure, and the supporting structure comprises a supporting part and a plurality of functional parts corresponding to the plurality of second functional areas; the back electrode structure is stacked on the side, away from the substrate structure, of the supporting structure and can form a parallel plate capacitor with the first functional area, and when the voltage between the vibrating diaphragm structure and the back electrode structure is larger than a set value, the first functional area can be attracted to the back electrode structure, so that the second functional area can form an interdigital capacitor with the corresponding functional part.

The invention discloses a highly dustproof MEMS microphone packaging substrate and a processing method thereof. The highly dustproof MEMS microphone packaging substrate is characterized in that a capacitor-embedded resistor-embedded substrate is provided with a sound hole processing area; the two outermost layers of the capacitor-embedded resistor-embedded substrate are respectively covered with an ultrathin copper layer, and a window is manufactured on one ultrathin copper layer at a position corresponding to a sound hole processing area through a pattern manufacturing process. And after the position, corresponding to the sound hole machining area, on the other ultrathin copper layer is thickened, a copper net pattern formed by connecting a plurality of copper wires in a crossed mode is manufactured. Based on the window, at least part of the sound hole machining area is hollowed out through a laser groove burning technology, and a sound hole communicated with the copper net pattern is manufactured; cleaning the sound hole and the copper mesh pattern; and plating a protective layer on the copper net pattern. The processing method is novel and reasonable, the obtained MEMS microphone packaging substrate has the advantages of being small in size, thin in structure, excellent in ventilation and dustproof performance, high in sound transmission quality, high in reliability, high in anti-interference performance and the like, and market requirements are met.

The invention discloses a self-service terminal large model task processing system and method, and the system comprises a multi-mode perception fusion unit which is integrated with an infrared multi-point touch screen, an MEMS microphone array, and an industrial grade code scanning module. A medical diagnosis knowledge graph and a financial transaction ontology industry exclusive graph are built in the multi-field intention classification model; the dynamic demand matching engine is used for analyzing a cross-domain task link by adopting a Transform-XL long sequence modeling technology; a Petri net simulator and a conflict detection algorithm are built in the task arrangement middleware, and the task arrangement middleware is used for guaranteeing the consistency of execution time sequences of multiple sub-tasks; the self-adaptive response generation module is used for supporting automatic conversion from a natural language instruction to a PLC control code; according to the method, the task identification accuracy can be improved based on multi-modal fusion; the dynamic demand matching engine supports processing of a large number of concurrent requests per second, and response delay is low.

The invention relates to the technical field of microelectronics, and provides an MEMS microphone and a preparation method thereof, and an electronic device, the microphone comprises a substrate, the substrate comprises a first wafer and a first sacrificial layer, the first wafer is provided with a sealed cavity diaphragm, the first sacrificial layer is used for separating the sealed cavity diaphragm from the first wafer, and the substrate comprises a sound transmission hole penetrating through the first wafer and the first sacrificial layer; a second wafer on which a back plate is prepared; wherein the first wafer and the second wafer are bonded in a low-pressure environment, so that the sealed cavity vibrating diaphragm and the back plate form a capacitor. According to the method, the signal-to-noise ratio of the microphone is improved, and the reliability of the MEMS microphone is enhanced.

The invention relates to the technical field of image recognition, in particular to a microphone defect detection method and system based on an image model. The method comprises the following steps: acquiring a multi-modal data set; performing data preprocessing on the multi-modal data set to generate a space-time alignment multi-modal data stream; performing multi-material coupling modeling on the time-space alignment multi-modal data flow by using a preset MEMS microphone structure, and performing physical-GAN enhancement optimization to generate a microphone defect coupling model; therefore, through combination of multi-modal data stream fusion, physical optimization and deep learning, the defects of a traditional microphone defect detection method in data processing, model accuracy and generalization ability are overcome, and the defect detection precision, efficiency and reliability are improved.

The invention discloses integrated intelligent monitoring equipment and method for dust, poison gas and noise. The equipment is characterized in that a mass flow controller, a flow pump and a flow limiting assembly are sequentially connected to a gas inlet pipeline in series; the first laser and the light trap are oppositely mounted inside the particle measurement chamber; the lens and the first laser are coaxially distributed, and the focus of the lens is located at the particle detection channel; the photoelectric sensing unit is mounted on the inner wall of the rear side of the particle measuring chamber; the filter and the sensing surface of the photoelectric sensing unit are coaxially distributed; the communicating pipeline is respectively connected with the particle detection outlet and the gas detection inlet; the filter membrane is connected in series to the communicating pipeline; the second laser and the multi-channel narrow-band detector are oppositely mounted inside the gas measuring chamber; the noise measuring unit comprises an MEMS microphone array; the method comprises the following steps: wearing a plurality of dust, poison gas and noise integrated intelligent monitoring devices on different individuals, and synchronously monitoring the levels of dust, poison gas and noise by using the dust, poison gas and noise integrated intelligent monitoring devices. The equipment and the method can be used for synchronously monitoring various pollutants.

The invention discloses a control system of a controllable anti-recording device, and relates to the technical field of information safety protection, a multi-dimensional audio detection module adopts a quaternary cross array MEMS microphone array and can identify characteristic signals of recording equipment in a frequency band of 20 Hz to 20 kHz, an interference generation module generates a self-adaptive comb-shaped interference spectrum based on a DDS technology, dynamically avoids communication and voice frequency bands, and provides a multi-dimensional anti-recording device based on the self-adaptive comb-shaped interference spectrum. The heterogeneous computing master control module integrates a CPU and a DSP, a multi-level decision tree algorithm is built in, the composite energy management module fuses piezoelectric and electromagnetic dual-mode energy collection, and the anti-interference communication module adopts a UWB and Bluetooth 5.3 mixed link and supports dynamic frequency hopping and LDPC coding. Through combination of the multi-dimensional microphone array and an intelligent algorithm, high-precision recording equipment detection and positioning are realized, the system integration degree is high, the system can be rapidly deployed in a conference room, a confidential place and the like, and comprehensive protection is provided for information security.

A method for manufacturing a microelectromechanical systems (MEMS) microphone comprises depositing a membrane on a first sacrificial layer, wherein the first sacrificial layer is deposited on a substrate, etching the substrate to define a cavity, releasing the membrane by removing at least the first sacrificial layer, and forming at least one anchor at the edge of the membrane.

The present application relates to the technical field of health monitoring, in particular to a kind of infant asphyxia risk autonomous monitoring method and system based on laryngeal respiratory sound, comprising: utilize high sensitivity MEMS microphone to collect the airflow and respiratory sound signal of infant larynx, and utilize micro accelerometer to monitor the thoracic movement data of infant synchronously;The airflow and respiratory sound signal are denoising, and the denoising respiratory sound signal is obtained;The denoising respiratory sound signal is separated according to respiratory event Signal, and is enhanced and combined into respiratory sound data set;Respiratory sound feature is extracted in respiratory sound data set, and asphyxia anomaly classification model is constructed based on respiratory sound feature by machine learning model, and dynamic baseline model that adapts individual respiratory difference is established according to respiratory sound feature.The present application utilizes the hardware device of high sensitivity MEMS microphone and micro accelerometer and artificial intelligence model to combine, realizes the use of laryngeal respiratory sound signal in home environment and autonomously completes infant asphyxia risk identification and early warning.

The invention provides an MEMS microphone and a manufacturing method thereof.The MEMS microphone comprises a substrate with a cavity, a vibrating diaphragm supported on the substrate and a back plate spaced from the vibrating diaphragm, the vibrating diaphragm comprises a fixing part fixedly connected with the substrate and a vibrating part suspended above the cavity, and the fixing part is fixedly connected with the substrate. The vibration part comprises a plane part, a plurality of concave diaphragm parts arranged on the plane part at intervals and a connecting part for connecting the plane part and the concave diaphragm parts, each concave diaphragm part comprises a first silicon nitride layer, a silicon oxide layer and a second silicon nitride layer which are sequentially stacked along the vibration direction of the diaphragm, and the first silicon nitride layer is closer to the substrate than the second silicon nitride layer. According to the MEMS microphone, the composite material is adopted to manufacture the vibrating diaphragm with the corrugated shape, the vibrating diaphragm can generate large displacement under sound pressure, so that high sensitivity is obtained, the corrugated vibrating diaphragm made of the composite material can decompose stress, the strength of the vibrating diaphragm is enhanced, and the reliability of the MEMS microphone is improved.

The invention provides an air source heat pump with an active noise reduction function, and belongs to the technical field of air source heat pumps, the air source heat pump can carry an active noise reduction module, the active noise reduction module is used for reducing low-frequency noise generated in the operation process of the air source heat pump, and hardware of the active noise reduction module is composed of an MCU, a DSP and other peripheral circuits. The MCU is responsible for reading the frequency of a fan and a compressor of a heat pump through a Modbus protocol and obtaining the fundamental frequency of noise, the MEMS noise microphone is used for collecting original noise, and the MEMS error microphone is used for collecting residual noise; the audio codec is used for converting analog signals collected by the MEMS microphone into digital signals and then sending the digital signals to the DSP, the DSP processes the collected signals through an FxLMS algorithm, noise reduction signals are obtained through integration and calculation, the audio codec and the power amplifier drive the secondary loudspeaker to output noise reduction sound waves with the phase opposite to that of noise, and the noise reduction sound waves are sent to the power amplifier. Noise reduction is realized through superposition of the noise reduction sound waves and the noise sound waves.

The invention relates to the technical field of biological recognition, in particular to a multi-scene-oriented dynamic voiceprint recognition updating method, which comprises the following steps: synchronously acquiring voice signals through a 16-channel MEMS microphone array and a throat three-axis acceleration sensor, and constructing a three-dimensional data set containing acoustic scene fingerprints, semantic contexts and emotional characteristics; extracting features by adopting a scene adaptive dual-mode processing architecture, and extracting semantic features and emotional state coding vectors to form a multi-dimensional feature set; based on the multi-dimensional feature set, calculating a matching degree by using a Gaussian mixture model, monitoring a scene mutation index, and triggering an online clustering reconstruction mechanism to optimize a feature weight; deploying a three-level pipeline architecture for real-time processing; and generating a scene adaptation factor according to the MFCC-PLP mixed feature matrix and the environmental parameters to perform multi-feature joint matching. According to the invention, the adaptability of voiceprint recognition in a complex scene can be improved.

The invention discloses a microphone and an electronic device, and relates to the technical field of MEMS microphones, the microphone comprises a substrate, a housing and a chip assembly, the housing covers the substrate, and the housing and the substrate define an accommodating cavity; the chip assembly is located in the containing cavity and comprises a pickup module and a signal processing module which are in communication connection, and the pickup module is arranged on the substrate; a sound hole is formed in the side, facing the shell, of the substrate and faces the pickup module, and the size of the sound hole is increased in the direction perpendicular to the substrate and the direction close to the containing cavity. Under the condition that the air flow is certain, the flow speed of the air flow in the sound hole is gradually reduced, so that the occurrence probability of diaphragm breakage caused by too high flow speed of the air flow is effectively reduced, and the reliability of the microphone is improved; similarly, the size of the sound hole is increased along the direction perpendicular to the substrate towards the direction close to the accommodating cavity, so that the signal-to-noise ratio of the microphone is effectively improved, and the acoustic performance of the microphone is further improved.

The system is an intelligent device for preventing and treating campus speech bullying and dirty speech scenes, sound is collected through a high-sensitivity directional MEMS microphone, a voiceprint recognition module extracts an MFCC coefficient and differential characteristics by using a librosa library, after Z-score standardization, a pre-stored voiceprint model is matched through a DTW algorithm with path constraint, and the MFCC coefficient and the differential characteristics are subjected to Z-score standardization. The integrated dirty speech recognition module constructs a dynamic multi-language lexicon (including dialects), and adopts an optimized KMP algorithm and semantic analysis to recognize improper speech. And when a dirty call is detected, the feedback module plays a warning sound through the self-adaptive volume loudspeaker and sends an alarm to the server. And the data recording module is used for locally storing data through the SD card and encrypting and transmitting the data through the Wi-Fi module. The one-key alarm physical key supports long-press triggering, pushes notifications containing positions and time and carries out voice confirmation. The equipment adopts a low-power-consumption design, the weight is less than or equal to 80g, ergonomic wearing modes such as a hanging wearing mode and a brooch type are provided, and endurance and comfort are both considered.

The invention relates to the technical field of health monitoring, in particular to an infant suffocation risk autonomous monitoring method and system based on laryngeal breathing sound, and the method comprises the steps: collecting airflow and breathing sound signals of the throat of an infant through a high-sensitivity MEMS microphone, and synchronously monitoring thoracic motion data of the infant through a miniature accelerometer; performing noise reduction processing on the airflow and the breathing sound signal to obtain a denoised breathing sound signal; performing signal separation on the denoised breathing sound signals according to a breathing event, and enhancing and combining the denoised breathing sound signals into a breathing sound data set; extracting breath sound features from the breath sound data set, constructing a suffocation anomaly classification model based on the breath sound features through a machine learning model, and establishing a dynamic baseline model adapted to individual breath differences according to the breath sound features; hardware devices of a high-sensitivity MEMS microphone and a micro accelerometer are combined with an artificial intelligence model, and infant asphyxia risk identification and early warning are autonomously completed in a home environment by using laryngeal respiration sound signals.

Microphone assembly (1) comprising at least one microphone capsule (2), preferably a MEMS microphone capsule, wherein the microphone assembly (1) comprises at least one electrical contacting means (3) for supplying voltage and / or for providing microphone signals, wherein the microphone assembly (1) comprises a first printed circuit board (4), on the upper side (5) of which the microphone capsule (2) is arranged, preferably fastened, wherein the first printed circuit board (4) comprises through-openings (6, 6a), characterized in that a bottom side (7) of the first circuit board (4) is connected to a second circuit board (9) comprising through-openings (8, 8a) in such a way that through-openings (6, 6a) of the first circuit board (4) and through-openings (8, 8a) of the second circuit board (9) form channels (10, 10a) designed for the passage of sound waves, and Channels (10, 10a) are formed which are spatially separated from one another by a web (11) arranged in the first circuit board (4) and a web (12) arranged in the second circuit board (9).

An MEMS microphone includes a substrate with a back cavity and a capacitor system arranged on the substrate. The capacitor system includes a back plate and a diaphragm opposite to and spaced apart from the back plate. Surface of the back plate facing diaphragm or surface of diaphragm facing the back plate being provided with an anti-adhesion member. When the diaphragm moves until the anti-adhesion member is in contact with the diaphragm and the back plate at the same time, the anti-adhesion member is elastically deformable along a vibrating direction of the diaphragm. The anti-adhesion member of the present disclosure is elastic and may provide cushioning for movement of the diaphragm, which prevents rapid concentration of stress at a position of the diaphragm in contact with the anti-adhesion member, thereby preventing formation of pits in the diaphragm and preventing breakage of the diaphragm under repeated impact of the anti-adhesion member.

The utility model discloses a fully-sealed waterproof and dustproof MEMS microphone, relates to the technical field of microphones, and aims to solve the problems that sound holes are formed in the surface of a shell of an existing MEMS microphone, the waterproof and dustproof performance is insufficient, and the overall practicability needs to be improved. A mounting groove is formed in the outer surface of the shell, a supporting frame is mounted in the mounting groove in a buckled mode, the supporting frame is wrapped with a flexible thin film, the flexible thin film is connected with the supporting frame through glue, a dustproof cover is mounted at an end opening of the mounting groove in a buckled mode, and the dustproof cover covers one side of the flexible thin film in a buckled mode. A plurality of through holes are formed in the outer surface of the dustproof cover, the opening end of the shell is integrally connected with a buckle base, and a PCB is installed in the buckle base. And the effects of ensuring stable sound transmission, preventing external dust and moisture from entering the microphone and having high overall practicability are achieved.

The utility model discloses an MEMS microphone with a high electromagnetic shielding effect, relates to the technical field of MEMS microphones, and aims to solve the problems that an existing MEMS microphone is lack of an electromagnetic shielding structure inside, is insufficient in anti-electromagnetic interference and needs to be improved in overall practicability. A first aluminum foil is pasted on the inner wall of the shell, a rear cover plate is installed at a port of the shell in a buckled mode, a second aluminum foil is pasted on the inner wall of the rear cover plate, a mounting hole is formed in the middle of the outer surface of one side of the shell, and a metal net is installed in the mounting hole in a buckled mode. A metal net is arranged in the shell, a connecting ring is installed on the inner end face of the shell in a buckled mode, the connecting ring is located on one side of the metal net, the connecting ring and the round metal net share the same central axis, a metal vibration film is arranged in the connecting ring, and a circuit board is installed in the shell in a buckled mode. Effective electromagnetic shielding can be achieved, and the overall anti-electromagnetic interference effect is high.

A MEMS microphone according to the present embodiment comprises: a first substrate; a second substrate disposed on the first substrate; an adhesive layer disposed between the first and second substrates; a MEMS structure disposed on the second substrate; a signal processing device disposed on the second substrate and spaced apart from the MEMS structure; and a capacitor disposed to be spaced apart from the MEMS structure and the signal processing device, wherein the capacitor comprises a first external electrode and a second external electrode disposed at opposite ends thereof, and a plurality of internal electrodes and dielectric layers disposed between the first external electrode and the second external electrode, and the first substrate, the second substrate, and the MEMS structure are stacked in a first direction, while the plurality of internal electrodes are stacked in a second direction perpendicular to the first direction.

MEMS converter (200, 300, 400) for integration into a microphone arrangement (100) having a housing in which the MEMS converter is arranged, the MEMS converter comprising: a substrate (202) comprising an aperture (212); an electroacoustic transduction element (204) coupled to the substrate (202), the transduction element (204) comprising a fixed electrode (210) and a movable electrode (208) located on different layers of the MEMS transducer to form a variable capacitor, and the movable electrode (208) being at least partially disposed over the aperture (212); electrical contacts (414a, 414b) coupled to the transduction element (204); a resistor (206, 306); and electrical contacts (416) coupled to the resistor (206, 306) and electrically insulated from the electrical contacts (414a, 414b) of the transduction element (204), wherein the transduction element (204) comprises an insulating material (214) connected to the substrate, wherein the resistor (206, 306) is arranged laterally offset from the aperture (212) of the substrate (202, 502) and the insulating material (214) forms a backplate structural layer (508, 516), in the surface of which facing the substrate (202) the fixed electrode (210) is sunk, wherein the resistor (306) is sunk into said surface and is arranged in the same layer as the fixed electrode (210) and is formed of the same material, or wherein the resistor (206) is suspended from said surface and is arranged in the same layer as the movable electrode (208) and is formed of the same material.

Disclosed are a micro-electromechanical system (MEMS) structure and an MEMS microphone comprising same. The MEMS structure comprises a back plate; and a diaphragm located on one side of the back plate, wherein the diaphragm and the back plate forms a variable capacitor, the diaphragm comprises multiple first through holes and air release structures respectively corresponding to the first through holes, and the diaphragm further comprises one or more second through holes penetrating through the diaphragm.

The present disclosure discloses a Micro-Electro-Mechanical System (MEMS) microphone including a substrate including a back cavity; a capacitive system arranged on the substrate, the capacitive system including a back plate and a diaphragm opposite to the back plate, the diaphragm located on a side of the back plate close to the substrate; a support member located between the diaphragm and the back plate; a blocking portion arranged on a side of the back plate facing the diaphragm; wherein the diaphragm includes a vibration portion and a fixing portion surrounding the vibration portion and fixed to the substrate, the vibration portion and the back plate are fixedly connected by the support member, a projection of the blocking portion along a vibration direction of the diaphragm is located within the vibration portion of the diaphragm. Compared with the related art, MEMS microphone disclosed by the present disclosure has a high signal-to-noise ratio.

The invention relates to operating point stabilization of VCO-ADC using switched capacitor frequency to current conversion. A circuit includes a micro-electro-mechanical system (MEMS) microphone configured to generate a voltage signal at an output terminal of the MEMS microphone in response to a sound signal; a voltage controlled oscillator (VCO) coupled to an output terminal of the MEMS microphone and configured to output a frequency modulated signal at an output terminal of the VCO, the frequency modulated signal having a frequency proportional to the voltage signal; a frequency-to-digital (FTD) converter coupled to an output terminal of the VCO and configured to convert the frequency modulated signal to a frequency proportional digital output signal; a frequency voltage (FTV) conversion circuit coupled to an output terminal of the VCO and configured to generate a bias voltage at the output terminal of the FTV conversion circuit according to a frequency modulation signal; and a resistor coupled between the output terminal of the MEMS microphone and the output terminal of the FTV conversion circuit.

The invention provides a vehicle-mounted front windshield dimming window glass system capable of realizing light transmittance adjustment through a voice command, which comprises front windshield dimming glass, a sandwich structure formed by compounding glass, a glue film and a dimming film, a dimming area and a non-dimming area, the dimming area is divided into a fixed dimming area and a gradually-changed dimming area from top to bottom, and the light transmittance of the front windshield dimming glass is adjusted through a voice command. The bright-state light transmittance of the dimming area is greater than or equal to 70%; the sound control module is integrated in a vehicle-mounted control system and comprises an MEMS microphone array, a noise reduction algorithm chip and a controller; wherein the sound control module receives data transmitted by the MEMS microphone, inputs an electric signal to the front windshield dimming glass according to a preset program, and adjusts the light transmittance of the front windshield dimming glass. According to the scheme, safe interaction in a driving scene can be realized, and driving danger caused by too strong / too dark light or frequent switching of the light transmittance of the front windshield dimming glass is avoided.

The application discloses a controllable recording prevention device control system, and relates to the technical field of information security protection.A four-element cross array MEMS microphone array is used in the multi-dimensional audio detection module, which can identify recording equipment characteristic signals in a 20Hz to 20kHz frequency band.A self-adaptive comb interference spectrum is generated by the interference generation module based on DDS technology, and the communication and voice frequency bands are dynamically avoided.The heterogeneous computing main control module integrates CPU and DSP, and is provided with a multi-level decision tree algorithm.A composite energy management module combines piezoelectric and electromagnetic dual-mode energy collection, and an anti-interference communication module uses a UWB and Bluetooth 5.3 hybrid link, supports dynamic frequency hopping and LDPC coding.The application combines a multi-dimensional microphone array with an intelligent algorithm to realize high-precision recording equipment detection and positioning, and the system has high integration degree and can be quickly deployed in conference rooms, secure locations and the like to provide all-round protection for information security.