CN212624073U - Safe driving early warning system - Google Patents
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- CN212624073U CN212624073U CN202021324516.9U CN202021324516U CN212624073U CN 212624073 U CN212624073 U CN 212624073U CN 202021324516 U CN202021324516 U CN 202021324516U CN 212624073 U CN212624073 U CN 212624073U
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Abstract
The utility model discloses a safe driving early warning system, which comprises a driving behavior analysis early warning device, a forward active safety early warning device and a safety management platform; the driving behavior analysis and early warning device comprises a first processor, and a first camera, a communication module, a screen display module, a storage module, a sound reminding module, a distraction monitoring module, a fatigue monitoring module, an illegal monitoring module, an off-duty monitoring module, a shielding module, an identity authentication module and an overspeed reminding module which are respectively connected with the first processor; the forward active safety early warning device comprises a second processor, and a second camera, a communication module, a sound reminding module, a collision early warning module, a vehicle distance early warning module, a lane departure early warning module, a high-speed over-bending early warning module, an emergency brake module and a lane keeping capacity reminding module which are respectively connected with the second processor; the fatigue state, the driving behavior and the like of the driver can be monitored all the day in the driving process of the driver, and the wrong driving behavior can be corrected.
Description
Technical Field
The utility model belongs to the technical field of the safe driving technique and specifically relates to a safe driving early warning system is related to.
Background
With the rapid development of the automobile industry in recent years, convenience in life is brought to people, but the automobile industry is accompanied by traffic accidents together. The national transportation administration also issues a traffic law and another traffic law, so as to remind people of paying attention to safety and driving safely.
Fatigue driving is a traffic safety hidden danger worthy of high vigilance, and has high accident rate and serious consequences. According to the expert's introduction, fatigue driving has the same risk as drunk driving. If a person does not sleep for 18 hours, the person is half drunk, and if the person does not sleep for 24 hours, the person is drunk greatly. When a driver is tired, the phenomena of blurred vision, soreness and pain of the waist and back, stiff movements, fullness in hands and feet, or lack of concentration of energy, slow reaction, poor thinking, distraction, anxiety, impatience and the like can occur. If the vehicle is still being driven barely, a traffic accident may occur. In particular, vehicles running on an expressway are generally faster, and once fatigue driving cannot find and accurately process road traffic conditions in time, the harm caused by the fatigue driving is better than that of a common road. According to incomplete statistics, traffic accidents caused by fatigue driving on the highway account for more than 68 percent of the serious traffic accidents, and particularly at night 1-6, the tragedy of vehicle damage and death is easily caused by interaction of fatigue driving and low-speed driving and illegal parking.
Passenger transport and logistics enterprises are increasingly complicated to manage along with the continuous increase of vehicles, the requirements of vehicle management are higher and higher, most people still judge emergencies in the driving process by means of subjective thought and consciousness, safety concepts are concerned by people along with frequent and frequent safety accidents, and digitization is used as an automobile safety monitoring system to become mainstream and is also popular in the industry. At present, a detection system for realizing the mental state of a driver by adopting an internet of things digital technology is available in the industry, and the detection system is applied based on the internet of vehicles so as to adapt to the new requirement of driving safety detection. The digitalized system is applied to a multi-pose face detection method fusing pose information, a head pose estimation method based on biological characteristics is used for fusing fatigue driving models of multiple biological characteristics of a driver, and the accuracy and reliability of fatigue driving detection are greatly improved.
The working principle of the digital system is to detect and measure the geometric characteristics and the action characteristics of the eyelid and eyeball of the human, the gaze angle of the eye and the dynamic change thereof, the change of the head position and the direction and the like in real time through a visual sensor, establish a relational model of the head characteristics and the fatigue state of the human eye and research a multi-parameter comprehensive description method of the fatigue state; meanwhile, a quick fusion method of the multivariate information is researched, and the reliability and the accuracy of fatigue detection are improved, so that a stable and reliable driver fatigue monitoring system is developed. As the foreign driving safety early warning system is very expensive and is not enough to have great influence on the domestic market, only a few domestic enterprises put the product out at present and have small-scale application in some industry markets, but the product performance of the products is still imperfect, certain defects exist in actual use, and the products cannot enter the market in a large scale at the present stage.
SUMMERY OF THE UTILITY MODEL
In order to overcome the technical problem, the utility model provides a safe driving early warning system through information-based, intelligent means, can be at the driver in-process of traveling, monitors driver's fatigue state, driving action etc. in all weather, reaches warning driver, corrects wrong driving action.
The utility model provides a technical scheme that its technical problem adopted is: a safe driving early warning system comprises a driving behavior analysis early warning device, a forward active safe early warning device and a safety management platform; the driving behavior analysis and early warning device comprises a first processor, and a first camera, a communication module, a screen display module, a storage module, a sound reminding module, a distraction monitoring module, a fatigue monitoring module, an illegal monitoring module, an off-duty monitoring module, a shielding module, an identity authentication module and an overspeed reminding module which are respectively connected with the first processor; the forward active safety early warning device comprises a second processor, and a second camera, a communication module, a sound reminding module, a collision early warning module, a vehicle distance early warning module, a lane departure early warning module, a high-speed over-bending early warning module, an emergency brake module and a lane keeping capacity reminding module which are respectively connected with the second processor; the driving behavior analysis early warning equipment and the forward active safety early warning equipment are connected with the safety management platform through the communication module.
The communication module supports 4G full-network communication, is compatible with a 5G network protocol, and has the functions of uploading character information, pictures and videos remotely and in real time, downloading design related instruction information and upgrading software.
The screen display module has a screen display function, supports an LED display screen, and has the resolution not less than 128 × 128.
The storage module stores the alarm picture and the alarm video and has a circulating recording function.
The sound reminding module has an independent sound reminding function, can remind a driver when early warning occurs, and is controllable in decibel quantity, and the maximum volume is not lower than 80 dB.
The distraction monitoring module can monitor whether a driver is attentive to driving and whether the sight line is separated from the driving direction, and once distraction is monitored, if the driver looks at a mobile phone with head down, looks at the right and anticipates the right and the like, the distraction monitoring module immediately triggers an alarm to remind the driver and reports to the safety management platform to inform a manager.
The fatigue monitoring module can monitor whether the driver has the behaviors of dull sight, drowsiness, yawning, dozing and the like, if the behaviors exist, the driver is immediately triggered to alarm, and the driver is reminded and reported to the safety management platform to inform a manager.
The violation monitoring module can monitor whether the driver smokes or calls, and reports violation types and picture video information to the safety management platform to inform a manager.
The off-post monitoring module can monitor whether the driver is on post, and when the operator does not get permission and leaves the post without permission for more than a certain time, the equipment sends out an off-post alarm and reports the alarm to the safety management platform to inform a manager.
The shielding detection module can monitor whether the camera is shielded, when an operator shields the first camera without permission for a certain time, the equipment sends out shielding alarm and sends data to the safety management platform to inform a manager, so that the equipment can work effectively and the safety monitoring effect is really played.
The identity authentication module can accurately judge whether the driver has a change or not at the initial running stage of the vehicle through the camera image data acquisition and artificial intelligence analysis and identification methods, and if the driver has the change, whether the driver is the registered driver in the fleet, which driver and the like. If the driver is found to be unqualified and not registered, the alarm is triggered immediately to inform the safety management platform, and the supervision personnel intervene and intervene quickly.
The overspeed reminding module can monitor whether the vehicle is overspeed or not, and when the speed of the equipment is close to the upper limit of the allowable speed, the equipment can remind a driver of paying attention to the speed; when the overspeed driving exceeds more than 5s, the equipment reminds the driver of speeding and decelerating, actively captures the facial information of the driver, uploads the facial information to the safety management platform and retains the evidence of overspeed driving.
The collision early warning module comprises a low-speed collision module and a high-speed collision module, and when the speed of the vehicle is lower than 30Km/h, the vehicle is gradually close to a front vehicle and is possibly collided with the front vehicle, the equipment gives out a warning; when the vehicle speed exceeds 30Km/h and the relative speed of the vehicle and the front vehicle is high, and a collision with the front vehicle is possible, the device gives a warning 3s in advance.
The vehicle distance early warning module can monitor the distance between the vehicle and the front vehicle, and when the distance between the vehicle and the front vehicle reaches the minimum safety distance, the vehicle distance early warning module triggers an alarm and takes a snapshot to upload a picture to the safety management platform.
The lane departure early warning module can monitor whether the vehicle presses a line or not when running, and sends out warning and uploads the warning to the safety management platform when the vehicle presses the line to run.
The high-speed over-curve early warning module can monitor the vehicle speed when the vehicle turns, and when the vehicle turns, the vehicle speed is too high, a warning is sent out, and the warning is uploaded to the safety management platform.
The emergency brake module can monitor whether the vehicle has the behavior of emergency brake, and can send out warning and upload the warning to the safety management platform if the vehicle has the behavior of emergency brake.
The lane keeping ability reminding module can monitor the vehicle running track, and when the equipment monitors that the vehicle running track is always in an S-shaped track, the equipment immediately triggers the alarm to remind a driver to hold a steering wheel tightly to keep running straightly.
The safety early warning system is used for collecting, analyzing and processing the physiological and other non-physiological signal changes of a driver and judging whether the state of the driver is in a fatigue and sleep state; the method comprises the steps of extracting the characteristic information of a road scene and the characteristic of vehicle information, identifying a lane line and identifying and tracking vehicles through a single camera, calculating the distance between the vehicle and the lane line and the distance between the vehicle and a front vehicle, and applying the method to illegal lane change warning and collision early warning.
The camera carrying the image sensor and the image processor can acquire images all the time, and the acquisition of facial features and limb images of a driver can be realized all the day long in various environments. The timeliness and the accuracy are achieved, and the monitoring is not delayed; then the collected images are analyzed and processed, digitization, noise reduction, filtering, reconstruction and other processing are needed to be carried out on each frame of image, the image is transmitted to a central processing unit, results are continuously optimized through an image processing algorithm, the results are output, and early warning is carried out through indicator lights and sound.
The whole system mainly utilizes the facial features, eye signals, head motion features and the like of the driver to infer the fatigue state of the driver, gives an alarm for prompting and takes corresponding measures, is beneficial to the driver to judge the vehicle state more intuitively, and provides active and intelligent safety guarantee for the driver.
The beneficial effects of the utility model are that, this safe driving early warning system mainly carries out real-time detection and judgement to driver's fatigue state and other bad driving behaviors, and when the action of listening the driver will be unfavorable to driving safety, the system will early warning rapidly show, conveys dangerous signal for the driver to reach the purpose of in time correcting and avoiding the occurence of failure.
Under the conditions that traffic accidents occur frequently and the driving safety problem is serious, the driving safety is well guaranteed based on the occurrence of the driving safety early warning system of the drivers, each driver can guarantee the correctness of the driving behavior, the accident rate is reduced better, and the good application of an advanced driving auxiliary system is really achieved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic structural view of a driving behavior analysis early warning apparatus.
Fig. 2 is a schematic structural diagram of a forward active safety precaution device.
Fig. 3 is a system schematic of the present invention.
The diagram shows that 1 is driving behavior analysis early warning equipment, 2 is forward active safety early warning equipment, 3 is a first camera, and 4 is a second camera.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments.
Referring to fig. 1 to 3, the present embodiment provides a safety driving early warning system, which includes a driving behavior analysis early warning device 1, a forward active safety early warning device 2, and a safety management platform.
The driving behavior analysis and early warning device 1 comprises a first processor, and a first camera 3, a communication module, a screen display module, a storage module, a sound reminding module, a distraction monitoring module, a fatigue monitoring module, an illegal monitoring module, an off-duty monitoring module, a shielding module, an identity authentication module and an overspeed reminding module which are respectively connected with the first processor.
This driving behavior analysis early warning equipment is through installing the first camera 3 at driver's left side or right side the place ahead 25 degrees positions, gathers driver's facial picture, utilizes the integration of traditional machine learning technique and current deep learning technique, has realized face identification and facial extraction of five sense organ feature information and has confirmed to through the change of five sense organ features, analysis and judgement driver's abnormal state. Such as distraction, drowsiness, making a call, smoking, looking after the right, blocking the camera, leaving the driver off duty, etc. Meanwhile, the equipment sends the abnormal information picture and the video to a terminal platform management center through a 4G network, and informs managers to take effective measures in time, so that accidents are avoided.
The method comprises the steps of shooting a facial image of a driver, positioning a face area, dividing the face area into 5 feature areas which are mutually covered, extracting image features from the feature areas, comparing the features with templates in a database, and judging the state of the driver.
The device has various interface types such as CAN, 232 serial ports, internet ports and the like, has a communication module (compatible with a future 5G network protocol) supporting 4G full-network communication, and has the functions of uploading character information, pictures and videos remotely in real time, downloading design related instruction information and upgrading software. The intelligent warning device has the advantages that the intelligent warning device has a screen display function, supports an LED display screen, has the resolution ratio not less than 128 x 128, has an independent sound prompt function, can remind a driver when early warning occurs, is controllable in decibel quantity, has the maximum volume not less than 80dB, is provided with a built-in storage module for storing warning pictures and warning videos, and has a circulating recording function.
The forward active safety early warning device 2 comprises a second processor, and a second camera 4, a communication module, a sound reminding module, a collision early warning module, a vehicle distance early warning module, a lane departure early warning module, a high-speed bend-passing early warning module, an emergency brake module and a lane keeping capacity reminding module which are respectively connected with the second processor; the collision early warning module comprises a low-speed collision module and a high-speed collision module.
The driving behavior analysis early warning equipment and the forward active safety early warning equipment are connected with the safety management platform through the communication module. The functions of inquiry, dynamic data maintenance and inquiry, alarm information statistics, report generation and the like can be realized on the safety management platform. The platform has the functions of inquiring the APP of the mobile phone terminal, and the functions of the platform such as related alarm data and data analysis can be inquired on the terminal.
The above description is not limited to the above examples, and technical features of the present invention that are not described may be implemented by or using the prior art, and are not described herein again; the above embodiments and drawings are only used for illustrating the technical solutions of the present invention, and the present invention has been described in detail with reference to the preferred embodiments, and those skilled in the art should understand that changes, modifications, additions or substitutions made by those skilled in the art within the spirit of the present invention do not depart from the spirit of the present invention, and shall also belong to the protection scope of the claims of the present invention.
Claims (3)
1. A safe driving early warning system is characterized by comprising a driving behavior analysis early warning device (1), a forward active safe early warning device (2) and a safety management platform; the driving behavior analysis early warning device (1) comprises a first processor, and a first camera (3), a communication module, a screen display module, a storage module, a sound reminding module, a distraction monitoring module, a fatigue monitoring module, an illegal monitoring module, an off-duty monitoring module, a shielding module, an identity authentication module and an overspeed reminding module which are respectively connected with the first processor; the forward active safety early warning device (2) comprises a second processor, and a second camera (4), a communication module, a sound reminding module, a collision early warning module, a vehicle distance early warning module, a lane departure early warning module, a high-speed bending early warning module, an emergency brake module and a lane keeping capacity reminding module which are respectively connected with the second processor; the driving behavior analysis early warning device (1) and the forward active safety early warning device (2) are connected with the safety management platform through the communication module.
2. The safe driving early warning system of claim 1, wherein the screen display module has a screen display function, supports an LED display screen, and has a resolution not less than 128 x 128.
3. The safe driving early warning system of claim 1, wherein the collision early warning module comprises a low speed collision module and a high speed collision module.
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|---|---|---|---|
| CN202021324516.9U CN212624073U (en) | 2020-07-08 | 2020-07-08 | Safe driving early warning system |
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| CN202021324516.9U CN212624073U (en) | 2020-07-08 | 2020-07-08 | Safe driving early warning system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113470434A (en) * | 2021-07-16 | 2021-10-01 | 神骅供应链科技(上海)有限公司 | Transport capacity vehicle management system based on Internet of things |
| CN113807216A (en) * | 2021-09-01 | 2021-12-17 | 重庆中科云从科技有限公司 | Monitoring early warning method, equipment and computer storage medium |
| CN114360210A (en) * | 2021-12-13 | 2022-04-15 | 广西中卫北斗科技有限公司 | Vehicle fatigue driving early warning system |
-
2020
- 2020-07-08 CN CN202021324516.9U patent/CN212624073U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113470434A (en) * | 2021-07-16 | 2021-10-01 | 神骅供应链科技(上海)有限公司 | Transport capacity vehicle management system based on Internet of things |
| CN113807216A (en) * | 2021-09-01 | 2021-12-17 | 重庆中科云从科技有限公司 | Monitoring early warning method, equipment and computer storage medium |
| CN114360210A (en) * | 2021-12-13 | 2022-04-15 | 广西中卫北斗科技有限公司 | Vehicle fatigue driving early warning system |
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| Date | Code | Title | Description |
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| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of utility model: An early warning system for safe driving Effective date of registration: 20210406 Granted publication date: 20210226 Pledgee: Qilu bank Limited by Share Ltd. Ji'nan Hong Lou sub branch Pledgor: SHANDONG HENGYU ELECTRONICS Co.,Ltd. Registration number: Y2021370000031 |
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| PC01 | Cancellation of the registration of the contract for pledge of patent right | ||
| PC01 | Cancellation of the registration of the contract for pledge of patent right |
Date of cancellation: 20230223 Granted publication date: 20210226 Pledgee: Qilu bank Limited by Share Ltd. Ji'nan Hong Lou sub branch Pledgor: SHANDONG HENGYU ELECTRONICS Co.,Ltd. Registration number: Y2021370000031 |