CN215182065U - Large-scale vehicle discernment early warning system based on real-time image detects - Google Patents
Large-scale vehicle discernment early warning system based on real-time image detects Download PDFInfo
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- CN215182065U CN215182065U CN202121651974.8U CN202121651974U CN215182065U CN 215182065 U CN215182065 U CN 215182065U CN 202121651974 U CN202121651974 U CN 202121651974U CN 215182065 U CN215182065 U CN 215182065U
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Abstract
The utility model discloses a large vehicle discernment early warning system based on real-time image detects, including host system, power module, video detection module and road area warning module, host system connects power module, video detection module and road area warning module respectively; the human body induction module is connected with the main control module and the power supply module. The video detection module is used for detecting whether pedestrians and vehicles pass through in real time; the main control module is a central processing unit and is used for receiving detection signals and sending control signals; the power supply module is responsible for supplying power to the whole system; the road area warning module is used for sending an image and voice warning for the pedestrians to pay attention to the passing of the large-sized vehicle and projecting the image and voice warning for the vehicle to pay attention to the pedestrians by a driver of the large-sized vehicle, so that the purpose of bidirectional reminding of the large-sized vehicle and the pedestrians in the area and reducing the probability of traffic accidents caused by steering of the large-sized vehicle is achieved.
Description
Technical Field
The utility model relates to a traffic technical field especially relates to a oversize vehicle discernment early warning system based on real-time image detects.
Background
At present, with the rapid development of the logistics industry in China, the road transportation in logistics freight transportation is the largest, the road transportation mainly comprises container large vehicles and large trailer vehicles, the large vehicles are difficult to control, the visual field is poor, blind areas are large and many, especially during the right-turn steering period, traffic accidents are easy to happen due to the characteristics, and the conventional reminding and warning system only can warn pedestrians by identifying the vehicles and is lack of detection for the pedestrians and bidirectional reminding for the large vehicles and the pedestrians. Therefore, the existing warning system cannot comprehensively warn the steering of the large-scale vehicle in combination with the vehicle, the road surface, the pedestrian and the non-motor vehicle, and in fact, the traffic accidents caused by the steering of the large-scale vehicle are the most, thereby bringing huge personnel and property losses to the society.
SUMMERY OF THE UTILITY MODEL
In order to solve the technical problem, the utility model discloses a following technical scheme can solve:
a large-scale vehicle identification early warning system based on real-time image detection comprises a main control module, a power supply module, a video detection module and a road area warning module, wherein the main control module is respectively connected with the power supply module, the video detection module and the road area warning module; the human body induction module is connected with the main control module and the power supply module.
Preferably, the human body induction module is connected with the main control module through a microwave module, and the microwave module is used for detecting whether pedestrians pass through the human body induction module.
Preferably, the main control module adopts a single-chip microcomputer MCU micro control unit as a central processing unit, is connected with the power supply module, the video detection module, the road area warning module and the human body induction module, and is responsible for receiving detection signals and sending control signals.
Preferably, the image detection module and the image acquisition module are respectively connected with the main control module; the image detection module sends a detection signal to the main control module through the camera sensing module when a moving object is detected, and starts the image acquisition module to acquire video image information; and the main control module sends a control signal to a storage module to store the acquired video image information.
Preferably, the large-scale vehicle identification and early warning system based on real-time image detection further comprises a shell and an access hole; the shell is arranged at a road intersection; the access hole is positioned on the shell, so that the maintenance and repair of the system in case of faults are facilitated.
Preferably, the inside control box that is provided with of access hole, the inside USB interface that is provided with of control box.
Preferably, the power supply module comprises a power supply conversion module and a charging module or a commercial power module connected with the power supply conversion module, and the charging module is connected with an external solar panel for charging; the utility model discloses a product, including the maintenance mouth, commercial power module, product internal circuit device, the inside electric wire connection city of maintenance mouth is used for the electric wire to be passed through to the commercial power module.
Preferably, the road area warning module includes: LED screen display module, projection warning module and voice broadcast module.
Preferably, the LED screen display module is positioned on the shell, is connected with the power supply module and the main control module, and gives warning by using characters and patterns on the LED display screen facing pedestrians and drivers of large vehicles; the power supply conversion module controls the LED screen display module to be switched on and off; the LED screen display module can be connected through APP, and after the image-text to be displayed is set on the APP, the image-text to be displayed is uploaded to the LED display module to be changed.
Preferably, the projection warning module comprises a radar sensing module, a graphic bearing module, a lens and a projection lamp light source, and the graphic bearing module is positioned between the lens and the projection lamp light source; the projection warning module is positioned on the shell and connected with the power supply module and the main control module, and the projection lamp light source is used for projecting pattern characters on the pattern bearing module to a road surface to remind of warning passing vehicles and pedestrians; controlling the switch of the projection lamp through the radar sensing module; the projection warning module can achieve the purpose of changing the projected patterns and characters by changing the pattern bearing module between the projection lamp light source and the lens.
Preferably, the voice broadcasting module is connected with the infrared remote control module through the main control module and is connected with an external storage device through a USB interface so as to realize voice information replacement, and a loudspeaker is used for playing set voice contents to remind passing vehicles and pedestrians; the external storage device can be a U disk, a mobile phone and other storage media capable of storing music or voice; the infrared remote control module is connected with the voice broadcast module through the main control module and controls the voice broadcast module to switch voice and volume.
According to the technical scheme, compared with the prior art, the utility model provides a large-scale vehicle discernment early warning system based on real-time image detection, set up large-scale vehicle discernment early warning system and install in road, building site or factory crossing for detect whether have large-scale vehicle and pedestrian to pass through and give driver or pedestrian pronunciation, image and projected two-way warning; the utility model discloses can provide 24 hours non-maintaining, low-cost response oversize vehicle and human and non-motor vehicle's speech and image warning function in specific region, turn to the oversize vehicle and combine vehicle, road surface, pedestrian and non-motor vehicle to synthesize the early warning, effectively avoid the oversize vehicle to turn to the traffic accident that brings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be 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 inventive exercise.
Fig. 1 is a schematic structural diagram of a large vehicle identification and early warning system based on real-time image detection provided by the utility model;
FIG. 2 is a schematic diagram of the front structure of a large-scale vehicle recognition early warning system based on real-time image detection provided by the present invention;
FIG. 3 is a schematic side view of a large vehicle identification and early warning system based on real-time image detection provided by the present invention;
fig. 4 is the utility model provides a large vehicle discerns little the control unit schematic diagram of early warning system module singlechip MCU based on real-time image detects.
Reference numbers in the drawings illustrate:
1. a camera; 2. an LED screen; 3. a housing; 4. an access hole; 5. a projection lamp; 6. a horn; 7. and a microwave module.
Detailed Description
The present invention will be described in further detail with reference to the following examples, which are illustrative of the present invention and are not intended to limit the present invention.
The embodiment of the utility model discloses a large-scale vehicle discernment early warning system based on real-time image detection, as shown in fig. 1-4, including host system, power module, video detection module and road area warning module, host system connects power module, video detection module and road area warning module respectively; the human body induction module is connected with the main control module and the power supply module.
Human response module connects host system, and human response module adopts microwave module 7 to receive the echo through launching high frequency electromagnetic wave, and this response module surveys the change in the echo, even small removal in the detection range, then triggers the instruction and detects the pedestrian and whether passes through, and human response module sends detected signal to host system when detecting the pedestrian and pass through.
The main control module adopts a single-chip microcomputer MCU micro control unit as a central processing unit and is connected with the power supply module, the video detection module, the road area warning module and the human body induction module, and the main control module is responsible for receiving detection signals and sending control signals.
The video detection module comprises an image detection module and an image acquisition module, and the image detection module and the image acquisition module are respectively connected with the main control module; the image detection module sends a detection signal to the main control module through the camera sensing module when a moving object is detected, and starts the camera 1 of the image acquisition module; the main control module sends a control signal to the storage module to store the image information acquired by the camera 1.
The video detection module is used for detecting a vehicle mechanism, a camera 1 is used for shooting a large number of real objects, the same characteristic points are extracted for modeling, a vehicle model is stored in a camera memory in a digital mode and is stored in the camera memory in a digital mode, then a camera software algorithm is used for detecting and analyzing continuous image frames, whether vehicles pass through is judged, targets are segmented, the characteristics of the vehicles are extracted, and finally category judgment is carried out according to the characteristics of the targets.
The method for detecting the moving target by the video detection module comprises the steps of firstly, carrying out smooth filtering on a digitized image so as to achieve the purpose of reducing noise; the smoothing filtering method is to sort the pixels in the neighborhood by the gray level through a median filter, and take the intermediate value of the neighborhood pixels as the output pixel value to achieve the purpose of smoothing filtering the image.
After the smooth filtering of the image is completed, the video detection module divides the filtered image; the image segmentation method comprises the steps of firstly detecting target edge points, then connecting the edge points to form a boundary, detecting the edge points by using a space domain differential operator, and completing convolution of a template and an image.
After the video detection module finishes image segmentation on the image, a moving target needs to be extracted from the image; the changing part between the continuous pictures is analyzed through background estimation and background difference, the target is highlighted, the background is eliminated, and the vehicle is effectively identified.
The method for extracting the moving target from the image firstly calculates the background difference, and under an ideal condition, the background image of the image except the moving target should be kept unchanged; however, in practical applications, the background image is changed due to the influence of factors such as light and weather in an outdoor environment, so that the problem that the extracted feature image has errors due to the change of the background is solved by using the background reconstruction method.
The background reconstruction method firstly sets a certain time intervalAt the interval, an image frame sequence for background reconstruction is intercepted from a video image, and the frame labels are 1, 2.. N; subtracting the two adjacent frames to obtain a difference map d (x, y) ═ Ik +1(x, y) -Ik (x, y), and dividing d (x, y) into W × W subblocks { b (i) }M(M is the total number of sub-blocks); the fourth order statistic H is then calculated for each sub-block by the fourth order central moment m4 and the variance m24：m0＝1/W2∑∑d(x,y)；m2＝1/W2∑∑[d(x,y)-m0]2；m4＝1/W2∑∑[d(x,y)-m0]4；H4＝m4-3m2 2(ii) a The average energy of the sub-blocks is next calculated: e (B (i)) ═ 1/W2∑∑d(x,y)2(ii) a Finally, defining a decision function to obtain a difference image: t is0-|H4(B(i))|≥0&&T1-E (B (i) ≧ 0; defining T in a decision function0、T1The four order statistic and the energy threshold, respectively, have the physical meaning of T0The larger the number of the sub-block gray scale sets, the lower the detection standard whether the sub-block gray scale sets meet the Gaussian distribution, and T1The attribution of the sub-blocks is divided from the overall gray scale energy.
After background difference is completed, the method for extracting the moving target from the image carries out binarization on a gray level image of a background; according to the gray distribution of the image, the image is simply divided into a background and an object, and an effective object is divided.
After binarization is completed, discontinuity exists in the image due to the difference of gray levels of all parts, and finally morphological filtering is required to be performed on the image; and removing the holes and noise in the communication area through expansion and contraction processing of the communication area.
And finally, extracting part of characteristic quantity in the characteristic graph and comparing the part of characteristic quantity with the characteristic quantity in the database to judge whether the moving target is a target vehicle.
The large-scale vehicle identification early warning system based on real-time image detection further comprises a shell 3 and an access hole 4, wherein the access hole 4 is positioned on the shell, and the system is convenient to maintain and repair after the system breaks down; the shell is arranged at the road intersection.
A control box is arranged inside the access hole 4, and a USB interface is arranged inside the control box.
The power supply module comprises a power supply conversion module and a charging module or a commercial power module connected with the power supply conversion module, and the charging module is connected with an external solar panel for charging; the commercial power module passes through 4 internal electric lines of access hole connect city electricity to product internal circuit device.
The road area warning module includes: LED screen display module, projection warning module, voice broadcast module.
The LED screen display module is located the casing, connects power module and host system, and LED display screen 2 sets up and faces pedestrian and large vehicle driver, and after road area warning module received the control signal that host system sent, LED screen display screen 2 shows if "there is pedestrian to pass through, notices safety. The contents of characters such as large vehicles passing by, attention to safety and the like warn drivers and pedestrians of passing large vehicles; the power supply conversion module controls the switch of the LED display screen through the main control module; the LED screen display module can be connected through the APP, and uploads to the LED display system to achieve replacement after the image-text to be displayed is set on the APP after the image-text is displayed.
The projection warning module comprises a radar sensing module, a projection lamp light source, a lens and a graph bearing module, wherein the lens adopts an optical lens, the graph bearing module can be a logo sheet, a negative sheet or other structures capable of realizing the function, the structure is not limited, the logo sheet or the negative sheet bears character warning information, and if the pattern or the character on the projected logo needs to be changed, the logo sheet can be changed; the logo piece is positioned between the optical lens and the light source of the projection lamp; the projection warning module is positioned on the shell and connected with the power supply module and the main control module; after the road area warning module receives the control signal sent by the main control module, the projection lamp 5 reminds passing vehicles and pedestrians by projecting characters of 'safety attention' preset on the negative film to the road surface through the projection light source; the projection warning module controls the projection lamp to be switched on and off through the radar sensing module.
The voice broadcasting module is positioned on the shell and connected with the power supply module and the main control module, and the voice broadcasting module is connected with the infrared remote control module through the main control module and is connected with external storage equipment through a USB interface so as to realize voice information replacement; after the road area warning module receives the control signal sent by the main control module, the loudspeaker 6 plays the set voice content to remind passing vehicles and pedestrians; the external storage device can be a U disk, a mobile phone and other storage media capable of storing music or voice; the infrared remote control module is connected with the voice broadcast module through the main control module and controls the voice broadcast module to switch voice and volume.
Specific application
Referring to fig. 1, for the embodiment of the utility model provides a pair of large vehicle discernment early warning system based on real-time image detects, this system includes video detection module, LED screen display module, power module, access hole, projection warning module, voice broadcast module and human response module. The large-scale vehicle identification early warning system based on real-time image detection is arranged at roads, factories or construction site intersections.
A box-type shell for protecting the system is arranged outside the system; the shell is provided with a camera, an LED screen, an access hole, a projection lamp, a loudspeaker and a microwave module; the access opening provides for maintenance and repair of the system in the event of a failure.
The power supply module comprises a power supply conversion module and a charging module or a commercial power module, and the whole set of system work is met by connecting an external solar panel for wiring charging or commercial power.
The video detection module detects the passing information of vehicles at the intersection in 24 hours, when the vehicles pass through the intersection, the video detection module starts the camera 1, the camera 1 acquires video information and sends the video information to the storage module, and meanwhile, the video detection module sends a detection signal to the main control module. When a pedestrian or a non-motor vehicle passes through the intersection, the human body induction module sends the detection signal to the main control module. When the main control module receives the two detection signals, the main control module transmits the control signal to the area warning module. The regional warning module transmits the signal to the power conversion module to control the output LED screen to display, and the LED screen 2 displays' vehicle passing, and safety is noticed. The pedestrian and the driver are warned by the characters of passing and paying attention to safety; the regional warning module transmits a signal to the radar sensing module to control the output of the projection lamp 5, and the projection lamp 5 projects a 'safety attention' pattern and character preset in the logo piece to the ground through a projection light source to warn both parties; regional warning module sends signal transmission to voice broadcast module, reports "the vehicle is current through loudspeaker 6, slows down and walks slowly, please notice the pronunciation of safety" and give the warning. The three modules of the regional warning module are linked and work simultaneously to carry out bidirectional warning of one image character on pedestrians and vehicles in the way.
In addition, it should be noted that the shapes, names, and the like of the components of the embodiments described in the present specification may be different. All equivalent or simple changes made according to the structure, characteristics and principle of the utility model are included in the protection scope of the utility model. Various modifications, additions and substitutions may be made by those skilled in the art without departing from the scope of the invention as defined in the accompanying claims.
Claims (10)
1. A large-scale vehicle identification early warning system based on real-time image detection is characterized by comprising a main control module, a power supply module, a video detection module and a road area warning module, wherein the main control module is respectively connected with the power supply module, the video detection module and the road area warning module;
the human body induction module is connected with the main control module and the power supply module.
2. The real-time image detection-based large vehicle identification and early warning system according to claim 1, wherein the human body induction module is a microwave module, and the microwave module is connected with the main control module.
3. The real-time image detection-based large vehicle identification and early warning system according to claim 1, further comprising an infrared remote control module, wherein the infrared remote control module is connected with the main control module.
4. The real-time image detection-based large vehicle identification and early warning system according to claim 1, wherein the video detection module comprises an image detection module and an image acquisition module, and the image detection module and the image acquisition module are respectively connected to the main control module.
5. The large vehicle identification and early warning system based on real-time image detection as claimed in any one of claims 1 to 4, further comprising a housing and a control box, wherein the housing is installed at a road intersection; and a USB interface is arranged in the control box.
6. The large vehicle recognition early warning system based on real-time image detection as claimed in claim 5, wherein the road area warning module comprises one or more of an LED screen display module, a projection warning module and a voice broadcast module:
the LED screen display module is positioned on the shell and connected with the power supply module and the main control module, and faces pedestrians and drivers of large vehicles;
the projection warning module is positioned on the shell and connected with the power supply module and the main control module;
the voice broadcast module is located on the shell and connected with the power supply module and the main control module.
7. The real-time image detection-based large vehicle recognition and early warning system as claimed in claim 5, wherein an access opening is provided inside the housing.
8. The real-time image detection-based large vehicle recognition and early warning system according to claim 6, wherein the projection warning module comprises a radar sensing module, a projection lamp light source, a lens and a graphic bearing module, the radar sensing module is connected with the main control module, the graphic bearing module is located between the lens and the projection lamp light source, and the projection lamp and the graphic bearing module are matched with each other.
9. The real-time image detection-based large vehicle recognition and early warning system according to claim 6, wherein the voice broadcast module is connected with the infrared remote control module through the main control module and is connected with an external storage device through a USB interface to realize voice information replacement.
10. The real-time image detection-based large vehicle recognition and early warning system according to claim 1, wherein the power supply module comprises a power conversion module and a charging module or a commercial power module connected with the power conversion module.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202121651974.8U CN215182065U (en) | 2021-07-20 | 2021-07-20 | Large-scale vehicle discernment early warning system based on real-time image detects |
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| CN202121651974.8U CN215182065U (en) | 2021-07-20 | 2021-07-20 | Large-scale vehicle discernment early warning system based on real-time image detects |
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