CN103528531A - Intelligent Internet of Things image detection system for small vehicle parameters - Google Patents
Intelligent Internet of Things image detection system for small vehicle parameters Download PDFInfo
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- CN103528531A CN103528531A CN201310517100.7A CN201310517100A CN103528531A CN 103528531 A CN103528531 A CN 103528531A CN 201310517100 A CN201310517100 A CN 201310517100A CN 103528531 A CN103528531 A CN 103528531A
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Abstract
The invention relates to the automobile detection field, in particular to an intelligent Internet of Things image detection system based on a machine vision technology and used for small vehicle parameters. The working composition of the system comprises a vehicle image capture unit, a vehicle image processing unit, a vehicle parameter calculating unit, a vehicle parameter storing unit and a vehicle weighing sensor. The detection system comprises functions including vehicle length measurement, vehicle width measurement, vehicle height measurement, vehicle color measurement, vehicle weight measurement and management of the data information. The units of the system are clear in tasks and reasonable in distribution, operational reliability and timeliness of the system are guaranteed, parameters of dynamic vehicles can be detected quickly, and the detection system is suitable for automatic detection of parameters such as vehicle contour size, color, weight information and the like in occasions such as a vehicle inspection and test station or other highways, traffic management departments and the like.
Description
Technical field
The present invention relates to automobile detection field, be specifically related to a kind of Internet of Things image intelligent detection system of the compact car vehicle parameter based on machine vision technique.
Background technology
Within 2012, China's automobile total production reaches 1,600 ten thousand, is sure to occupy for successive years the first in the world.The flourish growth for national economy of auto industry provides strong support, but has also increased the weight of work difficulty and the law enforcement dynamics of the departments such as vehicle inspection and test station or other highway, traffic administration.National communication rules have very strict legal provisions to road vehicle contour dimension, axle load and quality limit value, yet still exist part car owner in order to meet self-demand, privately to transform vehicle dimension, increase the situation of vehicle volume.This has seriously violated the safety standard that vehicle uses, and vehicle and even other driving vehicles are all existed to very large potential safety hazard, has caused a large amount of traffic hazards.
In order to guarantee vehicle and personal safety, vehicle management all can be carried out safety inspection to great quantity of small automobile every year.At present for the detection of vehicle overall dimension, mostly take manual measurement as main, use the simple tools such as tape measure, mark post, bevel protractor, measuring accuracy is low, efficiency is low, cost is high, and also may have illegal problem in testing process, has affected fairness and the objectivity of measurement result.If detect place, critical point at traffic route, want measuring vehicle contour dimension, manual measurement is wasted time and energy more, and accuracy is not high, and testing staff exists certain safety hazard.Therefore, further improve vehicle testing technique, develop a kind of kinetic measurement, automatically detect can be extensively applicable automobile detection system be very necessary.Occurred in recent years several vehicle overall dimension measuring devices, as laser 3 d scanner, three coordinate measuring machine etc., but these measurement mechanisms are expensive, and measurement environment is required strictly, to be unfavorable for the popularization in putting into practice practicality.
Automobile volume of production and marketing and recoverable amount that China is huge, brought very large business opportunity to the development of automotive inspection equipment.A kind of reliable automobile parameter automatic intelligent detection system can be for inspection parking lot, highway overload detection etc., and market outlook are wide.
Summary of the invention
First technical matters to be solved by this invention is that existing detection method mostly is manual detection, and efficiency is low, error is large.
Second technical matters to be solved by this invention is that existing detection system is subject to environmental factor serious interference, affected the measuring accuracy of system.
The 3rd technical matters to be solved by this invention is that existing detection system is implemented, troublesome poeration, should not promote, and testing cost is high.
The 4th technical matters to be solved by this invention is that existing detection system storage unit has also been born calculation task, task unreasonable distribution, clear and definite, and detection efficiency is low.
The 5th technical matters to be solved by this invention be existing detection system many places in static measuring phases, detection efficiency is low.
The 6th technical matters to be solved by this invention is that existing detection system cannot record the image information that detects vehicle.
For achieving the above object, the Internet of Things image intelligent detection system of compact car vehicle parameter of the present invention, is characterized in that, comprising:
Vehicle image collecting unit: be arranged on vehicle detection passage top and side, for the image information of collection vehicle, and by the vehicle image communication collecting to vehicle image processing unit;
Vehicle image processing unit: be connected with described vehicle image collecting unit, for receiving the vehicle image information that described vehicle image collecting unit collects, identify vehicle dimension and measure edge end face and the vehicle color judgement of institute's foundation and select district, and the end face information that above-mentioned identification is obtained, color judgement are selected to be transferred to vehicle parameter computing unit after district's information conversion;
Vehicle parameter computing unit: be connected with described vehicle image processing unit, for Vehicle length, width, high computational, and the vehicle length numerical value after calculating be transferred to vehicle parameter storage unit; Also need to calculate simultaneously and relatively obtain vehicle color information, and by the vehicle color communication getting to vehicle parameter storage unit;
Vehicle parameter storage unit: be connected with described vehicle parameter computing unit, vehicle weighing sensor, for storing the information such as the vehicle ' s contour size that measures in real time, color, weight, detection time, to measuring results is managed and inquired about;
Vehicle weighing sensor: be connected with described vehicle parameter storage unit, for the real-time dynamic weighing of vehicle, and will record weighing results and be transferred to vehicle parameter storage unit.
Described vehicle image collecting unit institute operative installations is high-definition camera or other high-definition shooting devices; 1 high-definition camera in 4 of all arounds high-definition camera and side is set above vehicle detection passage, for the image information of Real-time Collection vehicle to be checked.
Described vehicle image processing unit comprises:
Turnover judge module: for judging that vehicle enters or leave the sensing range of described vehicle image collecting unit, to control vehicle image collecting unit to the unlatching of outside vehicle contour images collection or to close;
Picture recognition module: measure all around of institute's foundation, upper and lower edge endface position and vehicle color judgement for identifying the vehicle image vehicle dimension of described vehicle image collecting unit acquisition and select district;
Data conversion module: arrive overall size computing module for the edge end face positional information of the above-mentioned image recognizing being converted to the coordinate digital communication of endface position pixel.
Described vehicle parameter computing unit comprises:
Overall size computing module: for calculating length, width and the height number information of vehicle;
Color judge module: for selecting the image information in district to judge vehicle color output character information according to described color judgement;
Information unloading module: for by the vehicle ' s contour size obtaining and the unloading of vehicle color information to vehicle parameter storage unit.
Described overall size computing module, Vehicle length is calculated and is obtained by the position coordinates of the forward and backward edge of vehicle end face and the image percent information of forward and backward video camera; Vehicle width is calculated and is obtained by the position coordinates of the left and right edge of vehicle end face and the image percent information of left and right video camera; Height of car is obtained by the position coordinates of the upper and lower edge of vehicle end face and the image percent information of side video camera.
First described color judge module is rejected described color judgement and is selected the interfere information in district, is partitioned into the uniform Representative Region of color, then selects HSI model to carry out color judgement, and the color result of judgement identification is exported with written form the most at last.
System of the present invention, by the Survey Software control and management being installed on industrial computer (or PC), specifically comprises demonstration, inquiry, modification and the printing of opening and closing, image storage, size demarcation, camera adjustment, setting parameter and the event memory of system of the present invention.
System of the present invention can external hard drive memory device, and the vehicle image that vehicle image collecting unit is collected stores; Native system can repeatedly be processed detection to memory image, so that final-period management and check vehicle image information.
When vehicle to be measured sails sense channel into and enter in front-facing camera visual range, trigger turnover judge module, make vehicle image collecting unit start the dynamic acquisition of vehicle image; When vehicle rolls post-positioned pick-up head visual range away from, stop vehicle image acquisition.Vehicle image collecting unit arrives picture recognition module by data line by the vehicle dynamic image transmission detecting; By described picture recognition module, obtain all around, upper and lower edge endface position and the vehicle color judgement of vehicle in dynamic image and select district; By described data conversion module, above-mentioned edge end face positional information is converted to the pixel coordinate numerical information of the endface position that can directly calculate, and is transferred to overall size computing module.Overall size computing module, according to default size computing formula, the pixel coordinate numerical information of above-mentioned edge endface position and the image scale-up factor of each camera, finally calculates the length number of degrees value of vehicle ' s contour.First described color judge module is rejected described color judgement and is selected the interfere information in district, is partitioned into the uniform Representative Region of color, then selects HSI model to carry out color judgement, and the color result of judgement identification is exported with written form the most at last.Above-mentioned vehicle ' s contour length number of degrees value and vehicle color Word message are all transferred to vehicle parameter storage unit by information unloading module.Vehicle sails out of behind post-positioned pick-up head viewing area, enters LOAD CELLS sensing range, and LOAD CELLS is carried out dynamic weighing to vehicle, behind vehicle passing detection region, vehicle weight numerical value is transferred to vehicle parameter storage unit.Vehicle parameter storage unit is responsible for the vehicle parameter after vehicle detection to manage and store, and by mark detection time, successively sequence, so that follow-up inquiry and housekeeping.
In sum, the detection of dynamic that the Internet of Things image intelligent detection system of compact car vehicle parameter of the present invention can be accomplished dilly, detection efficiency is high, and precision is high, is subject to such environmental effects little, and cost is low.Between each unit of native system, each module, task is clear and definite, distribution is reasonable, guaranteed system reliability of operation and ageing, parameter that can fast detecting dynamic vehicle is to be suitable for an occasion automatic detection vehicle overall size, color, the isoparametric systems of weight information such as vehicle inspection and test station or other highway, vehicle supervision department.
Accompanying drawing explanation
Fig. 1 is the structural drawing of the Internet of Things image intelligent detection system of compact car vehicle parameter of the present invention.
Fig. 2 is the concrete structure figure of the Internet of Things image intelligent detection system of compact car vehicle parameter of the present invention.
Fig. 3 is the pavement markers line distribution plan of vehicle detection passage of the Internet of Things image intelligent detection system of compact car vehicle parameter of the present invention.
Embodiment
Below with reference to accompanying drawing, use following examples to be further elaborated system of the present invention.
As shown in Figure 1 and Figure 2, the Internet of Things image intelligent detection system work group of compact car vehicle parameter of the present invention comprises vehicle image collecting unit, vehicle image processing unit, vehicle parameter computing unit, vehicle parameter storage unit, vehicle weighing sensor.Vehicle image collecting unit is selected 5 high definition high speed gigabit networking video cameras and by netting twine and router, is connected on the computing machine of systematic survey software installation of the present invention.
As shown in Figure 3, detect before vehicle, first open systematic survey software, select size to demarcate.First, adjust four video cameras in top, make its central projection fall within respectively four correspondence markings positions of pavement markers line.Secondly, select to need the video camera of demarcation, on software image, draw straight line, obtain the pixel count taking to the drawn straight line of measurement station from image cross mid point, and input the physical length of this segment distance, click and determine the image scale parameter that can obtain video camera.Finally, choose the image processing region of corresponding video camera.After size is demarcated and finished, the parameter input that system of the present invention is needed, as front and back camera, left and right cameras centre distance, side camera height etc.The demarcating steps of each video camera is identical, and before detecting vehicle, LOAD CELLS will preset small-sized axletree type weight zero clearing.After treating that aforesaid operations completes, click " beginning " option, system enters detected state.
Compact car to be checked is with speed≤5km/h in the situation that, at the uniform velocity, straight-line pass vehicle detection passage.The testing process of a car is less than 1 minute.After vehicle passing detection passage, can draw contour dimension parameter and the vehicle weight of vehicle.Many vehicles to be checked can be successively, interval is by track to be checked, between detection period without having again manual operation and intervention.
Above-mentioned computer hardware environment: display card, internal memory 4G, 1T hard disk.High-definition camera: resolution 1920 * 1080, frame per second 30fps.
Claims (8)
1. an Internet of Things image intelligent detection system for compact car vehicle parameter, is characterized in that, comprising:
Vehicle image collecting unit: be arranged on vehicle detection passage top and side, for the image information of collection vehicle, and by the vehicle image communication collecting to vehicle image processing unit;
Vehicle image processing unit: be connected with described vehicle image collecting unit, for receiving the vehicle image information that described vehicle image collecting unit collects, identify vehicle dimension and measure edge end face and the vehicle color judgement of institute's foundation and select district, and the end face information that above-mentioned identification is obtained, color judgement are selected to be transferred to vehicle parameter computing unit after district's information conversion;
Vehicle parameter computing unit: be connected with described vehicle image processing unit, for Vehicle length, width, high computational, and the vehicle length numerical value after calculating is transferred to vehicle parameter storage unit, also need to calculate simultaneously and relatively obtain vehicle color information, and by the vehicle color communication getting to vehicle parameter storage unit;
Vehicle parameter storage unit: be connected with described vehicle parameter computing unit, vehicle weighing sensor, for storing the information such as the vehicle ' s contour size that measures in real time, color, weight, detection time, to measuring results is managed and inquired about;
Vehicle weighing sensor: be connected with described vehicle parameter storage unit, for the real-time dynamic weighing of vehicle, and will record weighing results and be transferred to vehicle parameter storage unit.
2. the Internet of Things image intelligent detection system of compact car vehicle parameter according to claim 1, is characterized in that: described vehicle image collecting unit institute operative installations is high-definition camera or other high-definition shooting devices; 1 high-definition camera in 4 of all arounds high-definition camera and side is set above vehicle detection passage, for the image information of Real-time Collection vehicle to be checked.
3. the Internet of Things image intelligent detection system of compact car vehicle parameter according to claim 1, is characterized in that:
Described vehicle image processing unit comprises:
Turnover judge module: for judging that vehicle enters or leave the sensing range of described vehicle image collecting unit, to control vehicle image collecting unit to the unlatching of outside vehicle contour images collection or to close;
Picture recognition module: measure all around of institute's foundation, upper and lower edge endface position and vehicle color judgement for identifying the vehicle dynamic image information vehicle dimension of described vehicle image collecting unit acquisition and select district;
Data conversion module: arrive overall size computing module for the edge end face positional information of the above-mentioned image recognizing being converted to the coordinate digital communication of endface position pixel.
4. the Internet of Things image intelligent detection system of compact car vehicle parameter according to claim 1, is characterized in that:
Described vehicle parameter computing unit comprises:
Overall size computing module: for calculating length, width and the height number information of vehicle;
Color judge module: for selecting the image information in district to judge vehicle color output character information according to described color judgement;
Information unloading module: for by the vehicle ' s contour size obtaining and the unloading of vehicle color information to vehicle parameter storage unit.
5. according to the Internet of Things image intelligent detection system of the compact car vehicle parameter described in claim 1 or 4, it is characterized in that: described overall size computing module, Vehicle length is calculated and is obtained by the position coordinates of the forward and backward edge of vehicle end face and the image percent information of forward and backward video camera; Vehicle width is calculated and is obtained by the position coordinates of the left and right edge of vehicle end face and the image percent information of left and right video camera; Height of car is obtained by the position coordinates of the upper and lower edge of vehicle end face and the image percent information of side video camera.
6. according to the Internet of Things image intelligent detection system of the compact car vehicle parameter described in claim 1 or 4, it is characterized in that: first described color judge module is rejected described color judgement and selected the interfere information in district, be partitioned into the uniform Representative Region of color, then select HSI model to carry out color judgement, the color result of judgement identification is exported with written form the most at last.
7. the Internet of Things image intelligent detection system of compact car vehicle parameter according to claim 1, it is characterized in that: system of the present invention, by the Survey Software control and management being installed on industrial computer (or PC), specifically comprises demonstration, inquiry, modification and the printing of opening and closing, image storage, size demarcation, camera adjustment, setting parameter and the event memory of system of the present invention.
8. the Internet of Things image intelligent detection system of compact car vehicle parameter according to claim 1, is characterized in that: system of the present invention can external hard drive memory device, and the vehicle image that vehicle image collecting unit is collected stores; Native system can repeatedly be processed detection to memory image, so that final-period management and check vehicle image information.
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| CN117789486A (en) * | 2024-02-28 | 2024-03-29 | 南京莱斯信息技术股份有限公司 | Monitoring system and method for right turn stop of intersection of large-sized vehicle |
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Application publication date: 20140122 |