87 results about "Drunk driving" patented technology

The invention relates to the technical field of drunk driving detection, and discloses a non-contact drunk driving detection method based on deep learning, which comprises the following steps: acquiring continuous video stream data through a multispectral camera, extracting a facial region image sequence after inter-frame alignment and noise suppression, and extracting a facial region image sequence; feature extraction and fusion are carried out by using a space-time convolutional neural network, a time sequence decomposition algorithm and the like; and finally, a drunk driving detection result is obtained through a cascaded deep learning classifier and a dynamic threshold segmentation algorithm. The system comprises a data acquisition module, a preprocessing module, a feature extraction module, a classification decision module and a model optimization module. According to the invention, non-contact detection is realized, the risk of cross infection is avoided, and the detection convenience is improved. Various advanced algorithms adopted by the method can accurately extract characteristics related to alcohol metabolism, optimize model performance, improve detection precision and reduce misjudgment caused by environmental factor interference, and the method also has the functions of data enhancement, multi-task learning and online incremental learning, adapts to different environments and guarantees road traffic safety.

The invention discloses a non-contact drunk driving detection method and system adopting a large-linewidth tunable laser, and relates to the technical field of laser detection, and the method comprises the steps: collecting transmission light signals and corresponding electric signals under different linewidth conditions through experiments, synchronously recording experiment parameters, obtaining an original data set, carrying out the preprocessing of the original data set, and carrying out the detection of drunk driving. Generating a training set, a verification set and a test set, and training a BP (Back Propagation) neural network to obtain a pre-trained noise suppression model; the method comprises the following steps of: generating a wavelength-tunable modulated laser beam by adopting a large-linewidth tunable laser, directionally projecting the modulated laser beam into a vehicle cab, and enabling laser to penetrate through the cab space and carry alcohol gas concentration information to obtain a transmission light signal; focusing the transmission light signal to a photoelectric detector through an optical convergence device to obtain a noisy electric signal, inputting the noisy electric signal into a pre-trained noise suppression model, and outputting a de-noised electric signal; performing synchronous demodulation and harmonic analysis on the de-noised electric signal by using a phase-locked amplification detection technology, extracting a second harmonic signal amplitude associated with the modulation frequency, and determining a second harmonic signal characteristic amplitude through peak detection; according to the calibration relation between the second harmonic signal characteristic amplitude and the alcohol gas concentration, the concentration value of the alcohol gas in the cab is calculated in an inversion mode through a least square fitting algorithm, an alcohol concentration threshold value is set, the drunk driving condition of a driver is judged, a detection result is generated, and an alarm signal is output.

The invention provides a drunk driving automatic detection method and system based on a deep learning model and a robot system, and the method comprises the steps: constructing a detection scene dynamic interaction frame through a scene interaction module of the robot system, and enabling the detection scene dynamic interaction frame to comprise behavior guide logic, a time sequence cooperation rule and an environment parameter adaptive adjustment mechanism; starting a multi-modal acquisition unit to acquire a breathing gas data flow and a face dynamic feature flow, performing environment compensation to obtain a data set after synchronous association and interference correction, inputting the data set into a pre-trained drunk driving detection deep learning model, generating a fusion detection feature vector, and verifying validity; and carrying out drunk driving judgment processing to generate a comprehensive judgment result. And triggering a detection scene closed-loop processing flow according to a comprehensive judgment result to realize encrypted recording, multi-terminal synchronization and scene resetting, and driving robot components to cooperatively act to realize intelligent drunk driving automatic detection.

The invention discloses an alcohol detection matching method, a control device and an alcohol detection matching system, and relates to the technical field of alcohol detection matching. The alcohol detection matching method comprises the steps that a light-emitting assembly is controlled to emit a light signal with a preset wavelength to the face of a first vehicle person, then spectral information of the face of the first vehicle person and spectral information of the face of a second vehicle person are obtained, and whether the first vehicle person and the second vehicle person are in a drunkenness state or not is judged; under the condition that at least one of the first vehicle person and the second vehicle person is in a drunkenness state, face information of the first vehicle person and the second vehicle person is obtained; the cloud controls a plurality of road surface monitoring devices to obtain a plurality of driving information of corresponding vehicles; and based on the multiple pieces of driving information and the face information of the first vehicle personnel and the face information of the second vehicle personnel, whether a driver of the vehicle is matched with the vehicle personnel in the drunk state or not is judged. The invention aims to improve the accuracy of drunk driving judgment of the vehicle driver.

The invention discloses a vehicle key cabinet based on driver health examination and a using method thereof, and relates to the field of vehicle management. The vehicle key cabinet based on driver health examination comprises a vehicle key cabinet unit, a touch operation screen, a multi-mode verification module, a health detection module and a key sensing module, the vehicle key cabinet unit comprises a key cabinet main body and a key placing lattice, and the key placing lattice is used for placing a vehicle key; the multi-mode verification module is used for verifying the identity of a driver, the health detection module is used for detecting the health state of the driver, and the key sensing module is used for sensing whether a key is in place or not. According to the vehicle key cabinet based on driver health examination, the multi-mode verification module is utilized to pass face, fingerprint and card triple-modular redundancy verification, the safety risks of false claim and embezzlement are effectively prevented, the health detection module is utilized to monitor the health state in real time, and dangerous driving behaviors of drunk driving and fatigue driving are completely eradicated from the source of physiological indexes.

The invention discloses a safety system and method for preventing drunk driving of a vehicle, the vehicle and a medium, and relates to the technical field of safe driving. The safety system comprises a vehicle-mounted terminal and a cloud server which are in communication connection, the vehicle-mounted terminal comprises a detection module, a collection module, a processing module and a control module, and the processing module is used for verifying the identity of a driver through face data and voice data continuously collected by the collection module and sending the identity of the driver to the cloud server after verification is passed. The behavior state of a driver is determined according to voltage data continuously output by the comprehensive detection module, if the behavior state is drunk driving, a first control instruction is generated, early warning information is uploaded to the cloud server, and the control module is used for intelligently controlling the vehicle through the first control instruction or a second control instruction. Wherein the second control instruction is obtained by analyzing the early warning information through the cloud server to obtain the vehicle operation data and combining the traffic environment around the vehicle and the vehicle operation data until the vehicle stably stops, and safety is ensured.

The invention relates to the technical field of intelligent vehicle-mounted systems, and discloses an internet-based intelligent automobile data recorder and a recording system. Comprising an automobile data recorder body, a front camera is arranged on the front surface of the automobile data recorder body, a windshield fixing inclined panel is arranged at the top of the automobile data recorder body, a liquid crystal display screen is arranged on the rear surface of the automobile data recorder body, and a rear camera is arranged on the side surface of the automobile data recorder body. According to the system, in-vehicle and out-vehicle field states are actively detected in an internal and external dual-camera mode, a fault state and an instant short video are automatically reported to a terminal or a mobile phone specified by a user when an accident occurs, a third party can conveniently know the field condition in real time, and a multifunctional environment detection sensor is arranged in the system to give an alarm in real time in an abnormal state; if the alcohol smell in the automobile is abnormal and suspected to be drunk driving, the temperature in the automobile is too high in the driving process, PM2.5 in the automobile or the air quality is abnormal, a driver or a remote guardian designated in advance is reminded or notified in real time to take related measures.

The invention provides a drunk driving early warning method and system based on a large model and a storage medium, and the method comprises the steps: obtaining a face image, voice data and driving behavior data of a driver in a target vehicle, and carrying out the feature extraction of the face image, the voice data and the driving behavior data, facial features, voice features and behavior features are obtained; inputting the facial features, the voice features and the behavior features into a pre-trained large model for self-attention mechanism processing to obtain multi-modal features, and matching the multi-modal features with drunk driving state features to obtain feature similarity; if the feature similarity is larger than a similarity threshold value, it is judged that a drunk driving risk exists, drunk driving early warning prompting is conducted on the driver, and braking control is conducted on the target vehicle. According to the embodiment of the invention, alcohol detection can be carried out on the driver in real time, and the alcohol detection efficiency in the vehicle driving process is improved.

The invention belongs to the technical field of automobile safety, and discloses an automobile drunk driving prevention system and method based on passenger state and air alcohol detection, an alcohol concentration detection module comprises an alcohol sensor in a driver area and an alcohol sensor in a public area / passenger area in an automobile; the passenger state detection module comprises a seat sensor and a camera; the central control unit is mounted below a vehicle instrument panel; the active expiration reinspection module is integrated in a steering wheel scheme, or is designed into an independent small handheld or fixed mouthpiece; the actuator is connected to an original start button circuit, a transmission control unit (TCU) or an engine control unit (ECU) of a vehicle through a relay or a control signal wire harness and sends a'start / operation limiting 'instruction. The early warning device utilizes an original instrument panel display system, a horn system and a sound system of the vehicle. According to the invention, passenger positioning and specific area alcohol concentration monitoring are integrated, and the risk of passenger drinking misjudgment caused by only depending on the overall concentration in the vehicle is greatly reduced.

The invention relates to the technical field of information processing, in particular to an intelligent key cabinet management method, device and equipment and a storage medium. Lock position and vehicle associated information is stored in a key management database, and a key control model is constructed in combination with the key management database and a user permission mapping framework; the key control model is used for matching the user operation authority corresponding to the user identity authentication result, the key management difficulty is reduced, the key operation request is received in real time based on the user operation authority, the alcohol detection is triggered, the risk of drunk driving of the user is reduced, and the safety is improved; if yes, a dynamic taking and returning voucher is generated according to the key operation request, key state information in a key management database is updated, the authenticity of key taking and returning records is improved, the key loss risk is reduced, and the dynamic taking and returning voucher is sent to the key cabinet terminal so that the key cabinet terminal can control a target lock position to execute lock opening and closing operation based on the dynamic taking and returning voucher. The key taking and returning efficiency is improved.

The invention relates to the technical field of intelligent traffic, and particularly discloses an intelligent drunk driving prevention and control method based on PU Learning, which comprises the following steps: extracting multi-dimensional features from multi-dimensional data of a private car in a historical time period; training a drunk driving risk assessment model according to the multi-dimensional features; inputting the multi-dimensional features of other vehicles except the drunk-driving investigated vehicle in the private vehicles in the historical time period into the trained drunk-driving risk assessment model to output drunk-driving risk assessment values of the other vehicles, and screening out potential drunk-driving vehicles which are not investigated from all the other vehicles; and the travel habits of the drunk-driving investigated vehicles and the potential drunk-driving vehicles which are not investigated are counted to form an efficient investigation and communication scheme. According to the intelligent drunk driving prevention and control method based on PU Learning provided by the invention, a traffic control department can conveniently and actively find a high-risk vehicle group suspected of drunk driving travel, a road surface investigation and treatment strategy is optimized, and accurate propaganda and active prevention and control of the high-risk vehicle group are realized.

The invention discloses a safe driving device capable of reducing drunk driving, and relates to the technical field of safe driving, the safe driving device comprises a base, an intelligent control box is mounted on the front side of the base, a movable frame is movably mounted on the top of the base, and a blowing type drunk driving exhaling high-precision alcohol detector is mounted on the movable frame; alcohol detection can be carried out on a driver through the blowing type drunk driving expiration high-precision alcohol detector, the detected result is transmitted to the intelligent control box through the first data line, the intelligent control box gives an instruction according to the detected result, if the alcohol content exceeds the standard, the instruction is transmitted through the third data line, the gear locking device is controlled to lock a vehicle, and the vehicle cannot be started; if the alcohol content does not exceed the standard, an instruction is transmitted through a third data line, a gear locking device is controlled to be opened, the vehicle can be normally driven subsequently, and the vehicle cannot be normally started under the condition that a driver does not cooperate with detection, so that the possibility of drunk driving is reduced to a great extent, and the effect is equivalent to an electronic police for propagandizing and forbidding drunk driving.

Disclosed is a drunk driving prevention system and a method of controlling the same, the system including a sensor module that measures alcohol content in exhaled breath of a driver during a breath inspection of the driver, and a control module configured to check a drunken state of the driver according to the alcohol content measured by the sensor module to determine whether the breath inspection is completed and to prevent an engine start when the breath inspection is failed, wherein the control module includes an inspection unit that displays breath inspection guide information through a display unit, and the inspection unit displays the breath inspection guide information based on an engine operation input of the driver.

The invention discloses a drunk driving prevention control method and system for a vehicle, the vehicle, equipment and a medium. The drunk driving prevention control method of the vehicle comprises the steps that the concentration of alcohol gas in the vehicle is obtained, and when it is determined that a driver has suspected drunk driving behaviors according to the concentration of the alcohol gas, vehicle power limitation is started; under the condition that vehicle power limitation is started, whether a drunk driving question request of the driver is received or not is judged; if a drunk driving question request of the driver is received, providing specified action guidance or set question guidance for the driver; and according to the completion condition of the designated action or the answer result of the set question by the driver, whether the vehicle power limitation is removed or not is judged. By the adoption of the method and device, drunk driving can be effectively avoided, personal safety is guaranteed, driver complaints caused by vehicle limitation due to drunk driving misjudgment are avoided, and the use experience of the vehicle is improved.

The invention discloses a configuration and use method of an anti-cheating alcohol detection system. The configuration and use method comprises the following steps: S11, prefabricating a detector; s12, prefabricating a vehicle control mechanism; s13, pre-storing user data; s21, the vehicle is powered on; s22, confirming the identity of the user; and S23, alcohol detection, wherein the face recognition module keeps face recognition during alcohol detection. According to the configuration and use method of the anti-cheating alcohol detection system provided by the invention, the face recognition module matches the identity of a user before the detection process of the alcohol detection module, and continuously recognizes the face data of a driver in the alcohol detection process; it is ensured that detection data of the alcohol detection module is matched with face data recognized by the face recognition module, a vehicle ignition system is directly locked or unlocked according to a detection result, and drunk driving is stopped from the source.

The invention discloses an equipment fault diagnosis method based on big data analysis, and relates to the technical field of drinking or drug taking detection, and the method comprises the following steps: S101, collecting the operation state information, including sensor response information and sensor resistance information, of a skin resistance sensor in a driving state rapid detection system, and after collection, sending the information to a database; and processing sensor response information and sensor resistance information when the skin resistance sensor operates. The running state of the skin resistance sensor in the driving state rapid detection system is monitored, abnormal hidden dangers of the running state of the skin resistance sensor are effectively prevented, and therefore the situation that the accuracy and reliability of the system are affected due to the fact that the skin resistance sensor generates wrong measurement results is effectively prevented; therefore, the system cannot reliably detect drunk driving and toxic driving behaviors, and cannot provide accurate alarms or trigger corresponding safety measures.

The embodiment of the invention provides an end-to-end driver alcohol detection method and device, a storage medium and a vehicle, relates to the technical field of alcohol detection, can realize drunk driving detection without active cooperation of a driver, and has the advantages of high real-time performance and privacy protection. The method provided by the embodiment of the invention comprises the following steps: acquiring face video data of a driver by using a vehicle-mounted image acquisition module; a plurality of video frames in the face video data are preprocessed; sending the plurality of preprocessed video frames into a pre-trained deep learning network model to extract spatial-temporal characteristic signals related to alcohol, and obtaining a drunk driving detection result of whether drunk driving exists; and displaying the drunk driving detection result on a vehicle-mounted display screen.

This application relates to a method, device, vehicle, and storage medium for in-vehicle rest. The method includes: detecting whether the driver meets a preset anti-alcohol condition; when it is detected that the preset anti-alcohol condition is met, controlling the vehicle to enter an anti-alcohol mode, prohibiting the vehicle from starting, and collecting environmental data of the current environment; and identifying the somatosensory category of the current environment according to the environmental data, and matching the target actions of the vehicle's seat backrest, one or more windows, sunroof, in-vehicle air conditioner, and / or speaker according to the somatosensory category, and controlling the seat backrest, one or more windows, sunroof, in-vehicle air conditioner, and / or speaker to perform the corresponding target actions to create an optimal anti-alcohol rest environment in the vehicle. The embodiments of this application can control the vehicle to enter an anti-alcohol mode when the driver is in a drunken state, provide the driver with an optimal anti-alcohol rest environment, thus providing a comfortable and reassuring environment for the driver while preventing drunk driving behavior and improving driving safety.

Currently, the drunk driving detection is mostly carried out manually, which is inefficient, and cannot provide timely and accurate safety prompt for the driver and others, and cannot effectively avoid the drunk driving behavior. Therefore, the application discloses a vehicle-mounted anti-drunk driving method based on multi-sensor fusion detection. The technical key point of the application is that the system is started and initialized when detecting the automobile ignition, and is connected with the automobile brake module, the system realizes full-automatic detection and reminding, and the drunk driving is completely eliminated from the root, the alcohol sensor is used for preliminarily testing and judging the alcohol concentration of the driving position, the K-shaped thermocouple is further used for detecting the body temperature of the driver to reduce the misjudgment degree of the drunk driving detection, the network information warning is combined, the infrared sensors are placed at multiple positions of the vehicle body to detect whether there are passengers at the positions, and the corresponding processing method is intelligently selected, the drunk driving behavior is avoided through the parallel mode of the legal deterrence to the driver and the persuasion of others.

The invention discloses a mounting and starting system which is particularly suitable for the field of motor vehicle driver state monitoring and intelligent braking. The system performs living body identity verification through a dynamic face recognition module, and realizes dual concentration detection in combination with a fuel cell type alcohol sensor; the AI behavior analysis module is used for monitoring the trunk posture, the operation behavior and the environment parameters of the driver in real time, and a multi-dimensional state evaluation model is constructed; a dual-redundancy electronic parking system and a graded braking executing mechanism are configured, and closed-loop control from early warning to braking is completed within 0.8 second. The central data processing unit adopts a heterogeneous computing platform and a trusted execution environment to guarantee data operation safety and system reliability. According to the technology, the drunk driving prevention and control capacity is effectively improved by more than three times, the fatigue driving risk is reduced by 67%, the braking response speed is improved by 300% compared with a traditional system, and an intelligent solution is provided for road traffic safety.

The invention discloses a drunkenness state detection method, system and device and a medium, and the method comprises the steps: obtaining the eye data of a driver in a preset time period, and enabling the eye data to comprise eyeball state data; performing time domain feature extraction on the eyeball state data to obtain time domain feature data; performing frequency domain feature extraction on the eyeball state data to obtain frequency domain feature data; fusing the time domain feature data and the frequency domain feature data to obtain eyeball tremor feature information; and based on the eyeball tremor characteristic data, utilizing a neural network model to detect the drunkenness state of the driver. Through fusion of frequency domain and time domain feature information, the eyeball tremor state of the driver is evaluated from multiple features, the robustness of data and the generalization ability of a model can be improved, and the drunk driving state detection precision is improved. And the judgment result can be fused with a drunkenness state detection result based on the physiological feature information of the driver and the vehicle state information, so that the accuracy of deducing the drunkenness state of the driver is further improved.

The utility model discloses a kind of ship drunk driving linkage monitoring systems, including ship power management system PMS, the ship power management system PMS is used to control the working state of propulsion control system PCS;The monitoring system further includes alcohol detector, alcohol monitoring server;The alcohol detector is used to collect the alcohol parameter of crew, and its output end is connected to alcohol monitoring server;The alcohol monitoring server according to the corresponding control signal value ship power management system PMS of alcohol parameter output controls the working state of propulsion control system PCS of ship.The utility model is characterized in that: through the drunk driving information of crew monitoring and association linkage ship driving control, the safety of ship navigation is improved, the risk of post-operation is reduced, simultaneously intervening alarm information provides basic data for subsequent discipline.

The invention discloses an intelligent detection method and system for drunk driving and fatigue states of a driver, and relates to the technical field of traffic safety detection.The detection method comprises the following steps that S10, the driver sits and ignites to start a vehicle, the alcohol concentration of the driver is collected through an alcohol collection sensor, the obtained alcohol concentration is compared with the threshold alcohol concentration, and the alcohol concentration of the driver is obtained; if the alcohol concentration exceeds the standard, a vehicle ignition circuit is forcibly disconnected; if the detected alcohol concentration does not reach the calibration value, the vehicle is normally ignited and started; s20, acquiring facial features and behavior state pictures of the driver by a camera, performing drinking state recognition and fatigue grade evaluation on the driver based on the facial features and the behavior states, and if the driver is judged to be in fatigue driving, prompting the driver in a voice prompt manner; and the facial features and the head posture of the driver are continuously and repeatedly detected until the driver is judged not to be in the fatigue driving state any more.

The utility model discloses an automatic anti-escape and anti-collision device for drunk driving inspection, which relates to the technical field of road traffic safety law enforcement equipment and comprises a road surface sensing module, a drunk driving inspection module and a drunk driving inspection module, the road surface sensing module comprises a rubber pad arranged in a drunk driving inspection area, and a pressure sensor, a proximity sensor and a mobile signal emitter are fixedly connected in the rubber pad; the vehicle-mounted signal receiving module comprises a signal receiver, is mounted in the vehicle and is connected with the vehicle ECU; the throttle valve executing mechanism comprises an electronic throttle valve body, a throttle valve plate and a driving motor arranged in front of the throttle valve plate are installed in a throttle valve body of the electronic throttle valve body, the output end of the driving motor is provided with a limiting component and a control circuit, and the limiting component is arranged at the axis position of a rotating shaft of the throttle valve plate; according to the technical scheme, the throttle valve plate can be blocked only by controlling the driving motor to drive the limiting component to limit rotation of the throttle valve plate, and therefore behaviors such as sudden acceleration of a vehicle are limited.

The invention discloses a motor vehicle drunk driving prevention device which comprises an embedded fixing structure, an alcohol alarm, a motor assembly, an ignition device, a closed ignition mechanism and a control system.The closed ignition mechanism is arranged on one side of the automobile ignition device and fixed in a central control shell of an automobile through the embedded fixing structure; the alcohol concentration in air is detected through an alcohol alarm and an alcohol sensing module, when it is detected that the alcohol concentration exceeds the standard, a generator assembly is touched to control a closed ignition mechanism to close a closed ignition device, the closed ignition device cannot be ignited and started, and therefore the drunk driving prevention effect is achieved; therefore, the appearance of the central control shell is not affected.

The application provides a kind of drunk driving automatic detection method and system based on deep learning model and robot system, constructs detection scene dynamic interaction framework through the scene interaction module of robot system, contains behavior guidance logic, time sequence coordination rule and environment parameter self-adaptive adjustment mechanism, based on the detection scene dynamic interaction framework, start multi-modal acquisition unit to collect respiratory gas data stream and face dynamic feature stream, obtain the data set after interference correction by environmental compensation, input the data set into the pre-trained drunk driving detection deep learning model, generate fusion detection feature vector and verify validity, carry out drunk driving judgment processing to generate comprehensive judgment result.According to the comprehensive judgment result triggers detection scene closed loop processing procedure, realizes encryption record, multi-terminal synchronization and scene reset, and drives robot component collaborative action, realizes intelligent drunk driving automatic detection.

The invention provides a multi-mode drunk driving reminding method and system, and belongs to the technical field of vehicle safe driving, and the method comprises the steps: S1, employing a camera for face recognition to judge a drunk driving probability result X1; s2, judging a drunk driving probability result X2 by using alcohol detection equipment; s3, judging a drunk driving probability result X3 by using the driving track; s4, calculating the drunk driving probability P after weighting the drunk driving probability results X1, X2 and X3; and S5, according to the drunk driving probability P, when drunk driving is judged, a user is reminded. According to the multi-mode drunk driving reminding method provided by the invention, the drunk driving probability is comprehensively judged through the detection results of various modes, weighted logic judgment is performed according to various drunk driving data such as the camera video stream, the alcohol detection equipment and the driving track, and the user is reminded according to the judgment result, so that the drunk driving reminding accuracy is ensured; family members and designated drivers are contacted at the same time, and the possibility of drunk driving is reduced.

This application relates to the field of vehicle safety technology, and particularly to a method, apparatus, device, vehicle, medium, and product for detecting driving suitability. In this method, an on-board device can acquire multimodal feature data, including biochemical gas feature data, driver feature data, and vehicle state feature data. A driving suitability detection result is determined based on the multimodal feature data. Based on the vehicle state feature data and the driving suitability detection result, a first operation is performed, wherein the first operation includes at least one of a safety warning operation, a vehicle intervention operation, and a rescue response operation. Thus, the method provided in this application can detect complex dangerous states such as drunk driving and fatigued driving based on multimodal feature data, thereby ensuring the accuracy and reliability of driver suitability detection.

The invention discloses a motor vehicle starting method, device and equipment and a readable storage medium, and relates to the technical field of motor vehicle starting control. Comprising the following steps: if a user fingerprint is detected, performing fingerprint authentication on the user fingerprint; if the fingerprint authentication is passed, sending out a blowing detection prompt, and carrying out alcohol detection on the user based on blowing of the user; and if the alcohol detection is passed, starting the motor vehicle. Fingerprint authentication and blowing type alcohol detection are sequentially introduced in the starting process of the motor vehicle, the vehicle is allowed to be started only under the condition that the alcohol detection is passed, and therefore the situation that unauthorized personnel or drunk personnel directly start the vehicle through a key or a button is effectively avoided. Active safety control over the starting link of the motor vehicle is achieved, the possibility of drunk driving is reduced, and then the safety of road driving is improved.

The embodiment of the invention provides a non-stop drunk driving detection system and method, relates to the technical field of spectroscopy and gas sensing, and can realize non-stop drunk driving detection. The non-stop drunk driving detection system comprises a laser emitting unit arranged on one side of a road, a signal receiving and processing unit arranged on the other side of the road, and a light transmission unit, wherein the light transmission unit comprises a first light assembly arranged on one side of the road and a second light assembly arranged on the other side of the road; the laser emitting unit comprises a signal generator, a laser driver and a laser; and the signal receiving and processing unit comprises a photoelectric detector, a lock-in amplifier and a gas concentration calculation unit.