CN202257939U - Automatic traffic jam testing device based on video color lump analysis - Google Patents
Automatic traffic jam testing device based on video color lump analysis Download PDFInfo
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- CN202257939U CN202257939U CN2011203495614U CN201120349561U CN202257939U CN 202257939 U CN202257939 U CN 202257939U CN 2011203495614 U CN2011203495614 U CN 2011203495614U CN 201120349561 U CN201120349561 U CN 201120349561U CN 202257939 U CN202257939 U CN 202257939U
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Abstract
The utility model relates to an automatic traffic jam testing device based on video color lump analysis, which comprises a video collection unit, a control unit and a network transmission unit and is characterized in that the control unit is formed by a sensor, an auxiliary lighting circuit, an embedded single chip microcomputer and a peripheral circuit. When the testing device works, the single chip microcomputer controls the video collection equipment to acquire traffic video images in the present area, is combined with environment light to compensate and modify the images, and perceives traffic smoothness and traffic jam in real time by analyzing color lump compensation condition and color lump moving speed in the modified video images. The network transmission unit then transmits the traffic smoothness and traffic jam information to a far-end traffic control processing center to effectively relieve traffic.
Description
Technical field
The utility model relates to the intelligent transport technology field, particularly relates to the automatic testing fixture of traffic congestion.
Background technology
Along with expanding economy; Traffic pressure is increasing, and traffic jam issue has become the problem that people face every day, and society presses for the more advanced reasonably traffic harvester of utilization and obtains current transport information; To alleviate traffic congestion, improve traffic capacity.
Practical at present traffic information collecting apparatus has velocity radar, toroid winding detecting device, ultrasonic detector, microwave detector, infrared detector etc.The technological deficiency of these devices has the following aspects:
(1) be not easy to installation and maintenance, even the road pavement that needs that has excavates imbedding detecting device or to rush to repair, not only damaged road surface, and cause traffic jam easily;
(2) signal that is obtained is not directly perceived, needs just can obtain useful traffic parameter through than complex processing, is not easy to real-time control;
The traffic parameter that (3) can detect is limited, generally only is used for the detection of flow motor and speed, can not adapt to the detection of the more multiparameter of modern intelligent transportation system needs;
(4) service life of equipment is short, and failure rate is high.
Therefore, design a kind of simple in structure, traffic congestion automatic checking device that the information of obtaining is directly perceived, real-time, to obtain current road conditions congestion information in real time, significant.
Summary of the invention
In view of there is above-mentioned deficiency in existing apparatus; The utility model technical matters to be solved is; Provide a kind of simple in structure, the information of obtaining is directly perceived and the traffic congestion automatic checking device that is easy to control, this device is through analyzing video image color lump filling situation and color lump translational speed, whether the real-time perception traffic unimpeded; And the information of will freely blocking up is sent to the traffic control processing enter of far-end through the network of supporting TCP/IP (or GPRS/3G) agreement, effectively relieves traffic congestion.
The technical scheme that the utility model addresses the above problem is following:
A kind of traffic congestion automatic checking device of analyzing based on the video color lump, this device comprises video acquisition unit, control module, the Network Transmission unit that connects successively, it is characterized in that,
Described control module is made up of ARM series embedded processing unit, light sensor, floor light circuit, wherein,
Described ARM series embedded processing unit is made up of ARM series embedded scm, storage unit and peripheral circuit thereof, and the I/O mouth of its ARM series embedded scm connects data bus and the control end of serial data bus and control end, floor light circuit control end, the video decode circuit of the data bus of storage unit, light sensor, the data bus and the address bus of network communication equipment respectively;
Described light sensor is made up of the photoelectric commutator, filtering circuit, the analog-to-digital conversion circuit that connect successively; Its control end is connected with the I/O mouth of ARM series monolithic, and the digital signal output end of analog-to-digital conversion circuit is connected with the I/O mouth of ARM series monolithic through serial data bus;
Described floor light circuit is made up of illuminating lamp and control circuit thereof, and its control end is connected with the I/O mouth of ARM series monolithic.
During work; ARM series embedded processing unit controls video capture device obtains the traffic video image in current area; Utilize light sensor and floor light circuit combining environmental light that image is compensated and revises, through color lump filling situation and color lump translational speed in the revised video image are analyzed, the real-time perception traffic is freely stifled; To freely be blocked up the traffic control processing enter of information transmission to far-end again by the Network Transmission unit, its concrete course of work is following:
1) detect set-up procedure: the serial embedded scm of ARM this moment is opened video capture device and is obtained road background video image under the no car state, and is stored in the storage unit;
2) detection of blocking up: ARM series embedded scm was opened video capture device and was obtained multiframe Real-time Road image this moment; Obtain the intensity of illumination under the current environment through light sensor simultaneously; The intensity of illumination that photoelectric commutator will be worked as under the precondition converts electric signal into; After filtering, convert the I/O mouth that digital signal is sent to ARM series embedded scm into by analog-to-digital conversion circuit; If the intensity of illumination under the precondition is lower than the threshold value of program setting, then open illuminating lamp, make video acquisition to multiple image brightness near the background video image in the storage unit; Then do not open illuminating lamp if be higher than threshold value;
Convert data signal after the video image filtering of Video Decoder with collection into and be sent to ARM series embedded scm; ARM series embedded scm adopts the background subtraction point-score that the multi-frame video image of current collection is handled: ARM series embedded scm subtracts each other the multi-frame video image that collects with the background video image of storage, again image is carried out Filtering Processing, with the elimination background; If obtain pixel value or surpass the threshold value of program setting; Think that then current road has moving target, simultaneously, the position and the size of color lump in each two field picture are carried out mark; Based on program setting, can judge the quantity of current road vehicles;
Then, adopt consecutive frame difference method to calculate the travel speed of current road vehicles: if T
0To T
1Constantly, adjacent two two field picture F
0And F
1The position of middle color lump is respectively S
0And S
1, T then
0To T
1Constantly, the travel speed v of vehicle is in the video image:
Unit is: pixel/second, because installing, just can not move again afterwards video capture device, so pixel value and real road length that we can be shared according to road in the image, can converse T
0To T
1Constantly, the travel speed V that vehicle is actual, if the shared pixel value of road is r in the image, actual this section link length is R, unit is: kilometer, then actual vehicle travel speed V is:
Unit is: kilometer per second.
When if the size of the video color lump in the current multiple image surpasses the threshold value of program setting, Vehicle Speed V is less than preset threshold, can think that then current road conditions block up; If do not satisfy above-mentioned condition, think that then traffic is good.
3) upload traffic information: according to program setting; ARM series embedded scm is sent to the traffic related information of current road the traffic control processing enter of far-end through the wired network communication equipment of supporting ICP/IP protocol or the wireless mobile communication device of supporting GPRS/3G.
The described a kind of traffic congestion automatic checking device based on the analysis of video color lump of the utility model has following beneficial effect than prior art:
1, only needs video acquisition unit and control module can accomplish the detection of blocking up of road conditions, therefore reduce the installation and maintenance cost greatly;
2, can judge blocking up of current road conditions through the filling and the translational speed of video color lump, so treatment effeciency improves greatly, the traffic information that obtains is also more directly perceived.
Description of drawings
Fig. 1 is the structured flowchart of the described a kind of traffic congestion automatic checking device of analyzing based on the video color lump of the utility model;
Fig. 2 is the schematic block circuit diagram of the described a kind of traffic congestion automatic checking device of analyzing based on the video color lump of the utility model;
Fig. 3 is the trace routine process flow diagram that blocks up of the described a kind of traffic congestion automatic checking device based on the analysis of video color lump of the utility model;
Fig. 4 is the consecutive frame difference method synoptic diagram of the described a kind of traffic congestion automatic checking device of analyzing based on the video color lump of the utility model.
Embodiment
The traffic congestion automatic checking device that present embodiment is controlled for the ARM series embedded scm LPC3200 that adopts the production of NXP company.Referring to Fig. 1, Fig. 4, this device comprises video acquisition unit, control module, Network Transmission unit.It is characterized in that,
Described control module is made up of embedded processing unit, light sensor, the floor light circuit of ARM series embedded scm LPC3200 control.Wherein,
Described embedded processing unit is made up of ARM series embedded scm LPC3200, storage unit and peripheral circuit thereof, and the I/O mouth of LPC3200 single-chip microcomputer connects data bus and the control end of serial data bus and control end, floor light circuit control end, the video decode circuit of data bus, the light sensor of storage unit, the data bus and the address bus of network communication equipment respectively;
Described light sensor is made up of the photoelectric commutator, filtering circuit, the analog-to-digital conversion circuit that connect successively; Its photoelectric commutator is the bleeder circuit that photoresistance CDS and fixed resistance R1 series connection constitute; Described filtering circuit is the capacitor C 1 that is parallel to resistance R 1 two ends; It is inner that described analog-to-digital conversion circuit is built in the LPC3200 single-chip microcomputer, and the I/O mouth of the band A/D function of LPC3200 single-chip microcomputer is connected with the dividing point of bleeder circuit;
Described floor light circuit is made up of a plurality of high-brightness LED light emitting diodes and a power NPN type triode Q1, and the I/O mouth of LPC3200 single-chip microcomputer is connected with the base stage of power NPN type triode Q1 through current-limiting resistance R2.
Described video acquisition unit is to be positioned at the ccd video camera in each traffic hot spot area and to pass through the connected video decode circuit of video cables to constitute.Wherein, Described video decode circuit is made up of ADV7183B video decoding chip and the peripheral circuit thereof that AD company produces; It is through video cables control ccd video camera and receive the video image that ccd video camera is gathered, and converts video image into digital signal sends it to the ARM series monolithic through 16 bit data bus I/O mouth.
Described Network Transmission unit is the RTL8139C fast Ethernet controller of Realtek company production and the cable network adapter of peripheral circuit formation thereof; This adapter is through 16 bit address buses, and 8 bit serial data buss, read-write control end link to each other with the LPC3200 single-chip microcomputer with clock end.Wherein, 16 bit address buses are merged by 28 bit serial address buss and constitute, and 8 bit data bus and 8 bit address buses are multiplexing.
Referring to Fig. 2 and Fig. 3, it is following that this installs the concrete course of work:
1) detection set-up procedure: ARM series embedded scm LPC3200 opens ccd video camera and obtains road background video image under the no car state, and is stored in the storage unit;
2) detection: the ARM series embedded scm LPC3200 that blocks up opens ccd video camera multiframe Real-time Road image; Obtain the intensity of illumination under the current environment through light sensor simultaneously, the intensity of illumination that photoelectric commutator will be worked as under the precondition converts electric signal into, after filtering, is sent to the I/O mouth of ARM series embedded scm LPC3200 band A/D function; If the intensity of illumination under precondition is low; It is big that the photoresistance resistance becomes, and dividing point voltage step-down converts aanalogvoltage into digital signal through the built-in A/D converter of ARM series embedded scm LPC3200; If the digital signal of conversion is lower than the threshold value of program setting; ARM series embedded scm LPC3200 then exports high level driving power NPN type triode Q1 conducting, and also conducting is luminous for the LED light emitting diode at this moment, illuminates the road surface; ARM series embedded scm LPC3200 control ccd video camera obtains multiframe again and implements road image, make video acquisition to multiple image brightness near the background video image in the storage unit; If intensity of illumination is done under precondition; The photoresistance resistance diminishes, and dividing point voltage uprises, and converts aanalogvoltage into digital signal through the built-in A/D converter of ARM series embedded scm LPC3200; If the threshold value that the digital signal of conversion is higher than program setting is ARM series embedded scm LPC3200 output low level then then; Power NPN type triode Q1 is ended, and this moment, the LED light emitting diode also by not luminous, did not provide floor light;
Then, convert digital signal after the video image filtering of video decode circuit with collection into and be sent to ARM series embedded scm LPC3200, SCM program adopts the background subtraction point-score that the multi-frame video image of current collection is handled: single-chip microcomputer subtracts each other the multi-frame video image that collects and the background video image of storage; Again image is carried out Filtering Processing; Eliminating background,, think that then current road has moving target if obtain pixel value or surpass the threshold value of program setting; Simultaneously; Position and size to color lump in each two field picture are carried out mark, according to program setting, can judge the quantity of current road vehicles;
Then, adopt consecutive frame difference method to calculate the travel speed of current road vehicles: if T
0To T
1Constantly, adjacent two two field picture F
0And F
1The position of middle color lump is respectively S
0And S
1, T then
0To T
1Constantly, the travel speed v of vehicle is in the video image:
Unit is: pixel/second, because installing, just can not move again afterwards video capture device, so pixel value and real road length that we can be shared according to road in the image, can converse T
0To T
1Constantly, the travel speed V that vehicle is actual, if the shared pixel value of road is r in the image, actual this section link length is R, unit is: kilometer, then actual vehicle travel speed V is:
Unit is: kilometer per second.
When if the size of the video color lump in the current multiple image surpasses the threshold value of program setting, Vehicle Speed V is less than preset threshold, can think that then current road conditions block up; If do not satisfy above-mentioned condition, think that then traffic is good.
3) upload traffic information: according to program setting, ARM series embedded scm LPC3200 is sent to the traffic related information of current road through the wired Fast Ethernet adapter of RTL8139C the traffic control processing enter of far-end.
Claims (2)
1. traffic congestion automatic checking device of analyzing based on the video color lump, this device comprises video acquisition unit, control module, the Network Transmission unit that connects successively, it is characterized in that,
Described control module is made up of ARM series embedded processing unit, light sensor, floor light circuit, wherein,
Described ARM series embedded processing unit is made up of ARM series embedded scm, storage unit and peripheral circuit thereof, and the I/O mouth of its ARM series embedded scm connects data bus and the control end of serial data bus and control end, floor light circuit control end, the video decode circuit of the data bus of storage unit, light sensor, the data bus and the address bus of network communication equipment respectively;
Described light sensor is made up of the photoelectric commutator, filtering circuit, the analog-to-digital conversion circuit that connect successively; Its control end is connected with the I/O mouth of ARM series monolithic, and the digital signal output end of analog-to-digital conversion circuit is connected with the I/O mouth of ARM series monolithic through serial data bus;
Described floor light circuit is made up of illuminating lamp and control circuit thereof, and its control end is connected with the I/O mouth of ARM series monolithic.
2. a kind of traffic congestion automatic checking device of analyzing based on the video color lump according to claim 1; It is characterized in that described video capture device is that ccd video camera, described video decoding chip are that ADV7183B, described ARM series embedded scm are LPC3200.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011203495614U CN202257939U (en) | 2011-09-17 | 2011-09-17 | Automatic traffic jam testing device based on video color lump analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011203495614U CN202257939U (en) | 2011-09-17 | 2011-09-17 | Automatic traffic jam testing device based on video color lump analysis |
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| Publication Number | Publication Date |
|---|---|
| CN202257939U true CN202257939U (en) | 2012-05-30 |
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|---|---|---|---|
| CN2011203495614U Expired - Fee Related CN202257939U (en) | 2011-09-17 | 2011-09-17 | Automatic traffic jam testing device based on video color lump analysis |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106600957A (en) * | 2016-11-15 | 2017-04-26 | 武汉璞华大数据技术有限公司 | Intelligent traffic management method based on image identification |
| CN113066281A (en) * | 2020-12-25 | 2021-07-02 | 泰州可以信息科技有限公司 | Unobstructed degree local identification platform |
-
2011
- 2011-09-17 CN CN2011203495614U patent/CN202257939U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106600957A (en) * | 2016-11-15 | 2017-04-26 | 武汉璞华大数据技术有限公司 | Intelligent traffic management method based on image identification |
| CN113066281A (en) * | 2020-12-25 | 2021-07-02 | 泰州可以信息科技有限公司 | Unobstructed degree local identification platform |
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|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120530 Termination date: 20140917 |
|
| EXPY | Termination of patent right or utility model |