CN109272743A - A kind of congestion detection system of artificial intelligence - Google Patents
A kind of congestion detection system of artificial intelligence Download PDFInfo
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- CN109272743A CN109272743A CN201810874465.8A CN201810874465A CN109272743A CN 109272743 A CN109272743 A CN 109272743A CN 201810874465 A CN201810874465 A CN 201810874465A CN 109272743 A CN109272743 A CN 109272743A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
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Abstract
The present invention relates to a kind of congestion detection systems of artificial intelligence, belong to congestion detection technique field.The present invention includes image/video capture module, GPS positioning module, image/video processing module, image/video distribution module, target identification module, characteristics analysis module, jam alarming module；Image/video capture module, image/video processing module, image/video distribution module, target identification module, characteristics analysis module, jam alarming module are successively sequentially connected；GPS positioning module is connected with the automated back-up module in image/video capture module, image/video distribution module respectively.The congestion in road situation for monitoring each place each time that the present invention can be simple and efficient simultaneously can make alarm according to different jam level situations, have very big technical advantage and practical value.
Description
Technical field
The present invention relates to a kind of congestion detection systems of artificial intelligence, belong to congestion detection technique field.
Background technique
Artificial intelligence is theory, method, technology and the application of the intelligence of research, exploitation for simulating, extending and extending people
One new technological sciences of system；Traditional road condition predicting is all based on historical data, and accuracy rate is not high.To relatively more accurate
Predict future in ground, it is necessary first to understand real-time traffic conditions.And the detection of real-time road is always a problem in fact, mainly
Acquisition real-time property is not enough, Information Collecting & Processing input cost is high, the period is long.
Summary of the invention
The technical problem to be solved by the present invention is the present invention provides a kind of congestion detection system of artificial intelligence, this system
Structure is simple, easy to use, can efficiently monitor the congestion in road situation of each place each time and can be gathered around according to different
Stifled level condition makes alarm.
The technical scheme is that: a kind of congestion detection system of artificial intelligence, including image/video capture module, GPS
Locating module, image/video processing module, image/video distribution module, target identification module, characteristics analysis module, jam alarming
Module；
Described image video capture module is used to carry out target area the capture of image/video；
For described image video processing module for handling the image/video captured, processing includes filtering, amplification
It handles and is sent to image/video distribution module；
Described image video distribution module includes video distributor, video wall component, automated back-up module；Video distributor
It receives image/video processing module treated image/video and be then sent to corresponding video wall components and shown,
And it is stored in automated back-up module；
The position that the GPS positioning module is used to capture corresponding image/video capture module is positioned and is obtained vehicle
Parameter include that the position data, speed and the image/video captured with corresponding position of vehicle vehicle is stored in automated back-up mould
In block；
The target identification module is used for the image/video and vehicle parameter progress target identification in automated back-up module,
Identify road congestion information；
The road congestion information and corresponding GPS that the characteristics analysis module is used to be obtained according to target identification module are fixed
The location information that position module navigates to is analyzed, to judge which kind of grade jam alarming the congestion information on this position belongs to
Information；
The grade jam alarming information that the jam alarming module is used to be obtained according to characteristics analysis module carries out corresponding
Jam alarming.
Described image video capture module includes camera module, single chip control module；Camera module and single-chip microcontroller
Control module connection；Camera module uses camera chip OV7670；
The single chip control module include chip AT89C52, resistance R11, R12, R13, R14, R15, R16, R17,
Capacitor C6, C7, C8, crystal oscillator Y2；Wherein, chip AT89C52 pin 31 is connected with resistance R16 and connect again with LED light, resistance
R11, R12, R13, R14 are connected with relay switch respectively, and relay switch is connected with camera module again, chip
The pin 25,26 of AT89C52 is connected with the both ends of crystal oscillator Y2, and capacitor C6, C7 are connected in parallel on the both ends of crystal oscillator Y2 and ground connection, chip
Pin 27 is connected with one end of capacitor C8, and resistance R17 is connected to one end of capacitor C8, resistance R17, capacitor C8 the other end connect
Ground, on the line for the centre that mono- end key K2 is connected to resistance R17 and capacitor C8, another termination 5V equipotential.
Described image video processing module includes: LM4F120H5QR single-chip microcontroller, resistance R1, R5, capacitor C1, C2, C3, crystalline substance
Shake Y1, reset key K1, switch key K3；Described image video capture module is connect with image/video processing module；Its core
Pin OSC0, OSC1 of piece LM4F120H5QR connects the both ends crystal oscillator Y1, and one end of capacitor C1 and capacitor C2 are separately connected crystalline substance
Shake the both ends of Y1, capacitor C1 and capacitor C2 other end ground connection, the reseting pin of LM4F120H5QR single-chip microcontroller, the one end power supply VCC with
Reset key K1, the connection of the one end capacitor C3, the reset key K1 other end are connect with resistance R1, resistance R1 and another termination of capacitor C3
Ground；Camera chip OV7670, LM4F120H5QR single-chip microcontroller of the LM4F120H5QR single-chip microcontroller map interlinking as video capture module
Serial output mouth is connect with the serial input mouth pin of the chip AT89C52 of image/video capture module, single chip control module
The Serial output mouth pin of chip AT89C52 connect with the serial input mouth pin of chip LM4F120H5QR；Switch key K3
One end is connect with VCC, and the other end is connect with resistance R5, and the R5 other end is connect with LM4F120H5QR single-chip microcontroller pin PB2.
When the target identification module identification congestion regions information, space is carried out according to the position data of vehicle, speed and is gathered
Class determines doubtful congestion regions, carries out lane segmentation according to the congestion regions of the image/video of doubtful congestion regions, obtains road
Information calculates the vehicle distributive law of doubtful congestion regions, according to road information if more than preset occupy-place, it is determined that this is doubtful to gather around
Stifled region is congestion regions.
The characteristics analysis module includes congestion grading module, is equipped with several vehicle distributive law reports in congestion grading module
Alert threshold value, judges that the vehicle distributive law for the congestion regions that target identification module identifies belongs to the alarm threshold value of which grade
When, it is concluded that different grade jam alarming information.
The jam alarming module includes sound light alarming circuit, one-chip computer module, and sound light alarming circuit is several, several
A sound light alarming circuit is connected with the delivery outlet of the one-chip computer module in jam alarming module respectively, characteristics analysis module with
One-chip computer module in jam alarming module is connected；Wherein sound light alarming circuit include definite value be 1K resistance R3, definite value be
Resistance R2, active buzzer LS1, LED light D1, the NPN type triode Q1 of 1K；The one end the resistance R3 is connected with VCC power end,
The other end is connected with LED light D1；Resistance R3 is connected with active buzzer LS1 with the other end of LED light D1, and LED light D1's is another
One end is also connected with the collector of NPN type triode Q1, and the base stage of NPN type triode Q1 is connected with one end of resistance R2, resistance
R2 is grounded as pull down resistor, the emitter of NPN type triode Q1, and the other end of resistance R2 is connected with one-chip computer module.
The working principle of the invention is:
In the use of the present invention, first passing through the single chip control module chip AT89C52 hair in image/video capture module
Control signal opens relay switch out, and control camera module opens the capture that image/video is carried out to target area；
As shown in Figure 2；The image/video captured is handled by image/video processing module again, processing includes filtering, amplification
It handles and is sent to image/video distribution module, wherein can encapsulate filter module, amplification module in LM4F120H5QR single-chip microcontroller
The image/video received is handled, image/video distribution module includes video distributor, video wall component, automated back-up
Module；Video distributor receives image/video processing module treated that image/video is then sent to corresponding video wall group
Part component is shown, and is stored in automated back-up module；GPS positioning module captures corresponding image/video capture module
Position positioned and obtained vehicle parameter include vehicle vehicle position data, speed and the figure captured with corresponding position
As video is stored in automated back-up module；Again by target identification module to the image/video and vehicle in automated back-up module
Parameter carries out target identification, identifies road congestion information, the road that characteristics analysis module is obtained further according to target identification module
The location information that congestion information and corresponding GPS positioning module navigate to is analyzed, to judge the congestion on this position
Information belongs to which kind of grade jam alarming information, then the grade congestion obtained by jam alarming module according to characteristics analysis module
Warning message carries out corresponding jam alarming；It is illustrated in figure 4 jam alarming module circuit schematic, sound-light alarm electricity therein
Road can be several, several are connected with the delivery outlet of the one-chip computer module in jam alarming module respectively, feature point
Analysis module is connected with the one-chip computer module in jam alarming module, from characteristics analysis module (can be using single-chip microcontroller and PC machine)
The pulse of the corresponding certain frequency of each grade is exported, then pulse is amplified by NPN triode Q1.When output is height
When level, active buzzer LS1 sounding, LED light D1 shines；When output is low level, active buzzer LS1 and LED light D1
Stop working；Wherein for different grade jam alarming information, wherein the color of the LED light in sound light alarming circuit is different
Sample indicates different grades of jam alarming.
The beneficial effects of the present invention are:
The present invention can predict that the time and location of congestion in road are then sent to corresponding administrative section according to historical information, allow
It makes correct planning, to avoid congestion；
The congestion in road situation and energy for monitoring each place each time that system designed by the present invention can be simple and efficient
Alarm is made according to different jam level situations, there is very big technical advantage and practical value.
Detailed description of the invention
Fig. 1 is structure of the invention block diagram；
Fig. 2 is single chip control module circuit diagram of the present invention；
Fig. 3 is image/video processing module circuit diagram of the present invention；
Fig. 4 is for jam alarming module circuit schematic of the invention.
Specific embodiment
In the following with reference to the drawings and specific embodiments, the invention will be further described.
Embodiment 1: as shown in Figs 1-4, a kind of congestion detection system of artificial intelligence, including image/video capture module,
GPS positioning module, image/video processing module, image/video distribution module, target identification module, characteristics analysis module, congestion
Alarm module；
Described image video capture module is used to carry out target area the capture of image/video；
For described image video processing module for handling the image/video captured, processing includes filtering, amplification
It handles and is sent to image/video distribution module；
Described image video distribution module includes video distributor, video wall component, automated back-up module；Video distributor
It receives image/video processing module treated image/video and be then sent to corresponding video wall components and shown,
And it is stored in automated back-up module；
The position that the GPS positioning module is used to capture corresponding image/video capture module is positioned and is obtained vehicle
Parameter include that the position data, speed and the image/video captured with corresponding position of vehicle vehicle is stored in automated back-up mould
In block；
The target identification module is used for the image/video and vehicle parameter progress target identification in automated back-up module,
Identify road congestion information；
The road congestion information and corresponding GPS that the characteristics analysis module is used to be obtained according to target identification module are fixed
The location information that position module navigates to is analyzed, to judge which kind of grade jam alarming the congestion information on this position belongs to
Information；
The grade jam alarming information that the jam alarming module is used to be obtained according to characteristics analysis module carries out corresponding
Jam alarming.
Further, described image video capture module includes camera module, single chip control module；Camera module
It is connect with single chip control module；Camera module uses camera chip OV7670；
The single chip control module include chip AT89C52, resistance R11, R12, R13, R14, R15, R16, R17,
Capacitor C6, C7, C8, crystal oscillator Y2；Wherein, chip AT89C52 pin 31 is connected with resistance R16 and connect again with LED light, resistance
R11, R12, R13, R14 are connected with relay switch respectively, and relay switch is connected with camera module again, chip
The pin 25,26 of AT89C52 is connected with the both ends of crystal oscillator Y2, and capacitor C6, C7 are connected in parallel on the both ends of crystal oscillator Y2 and ground connection, chip
Pin 27 is connected with one end of capacitor C8, and resistance R17 is connected to one end of capacitor C8, resistance R17, capacitor C8 the other end connect
Ground, on the line for the centre that mono- end key K2 is connected to resistance R17 and capacitor C8, another termination 5V equipotential.
Further, described image video processing module include: LM4F120H5QR single-chip microcontroller, resistance R1, R5, capacitor C1,
C2, C3, crystal oscillator Y1, reset key K1, switch key K3；Described image video capture module and image/video processing module connect
It connects；Wherein pin OSC0, OSC1 of chip LM4F120H5QR connects the both ends crystal oscillator Y1, and one end of capacitor C1 and capacitor C2
It is separately connected the both ends of crystal oscillator Y1, capacitor C1 and capacitor C2 other end ground connection, reseting pin, the electricity of LM4F120H5QR single-chip microcontroller
Source one end VCC is connect with reset key K1, the one end capacitor C3, and the reset key K1 other end is connect with resistance R1, resistance R1 and electricity
Hold C3 other end ground connection；The map interlinking of LM4F120H5QR single-chip microcontroller as video capture module camera chip OV7670,
The serial input mouth pin of the chip AT89C52 of the Serial output mouth and image/video capture module of LM4F120H5QR single-chip microcontroller
Connection, the Serial output mouth pin of the chip AT89C52 of single chip control module and the serial input mouth of chip LM4F120H5QR
Pin connection；The one end switch key K3 is connect with VCC, and the other end is connect with resistance R5, the R5 other end and LM4F120H5QR monolithic
The PB2 connection of machine pin.
Further, when target identification module identification congestion regions information, according to the position data of vehicle, speed into
Row space clustering determines doubtful congestion regions, carries out lane segmentation according to the congestion regions of the image/video of doubtful congestion regions,
Road information is obtained, calculates the vehicle distributive law of doubtful congestion regions, according to road information if more than preset occupy-place, it is determined that
The doubtful congestion regions are congestion regions.
Further, the characteristics analysis module includes congestion grading module, is equipped with several vehicles in congestion grading module
Distributive law alarm threshold value, judges which grade the vehicle distributive law for the congestion regions that target identification module identifies belongs to
, it is concluded that different grade jam alarming information when alarm threshold value.
Further, the jam alarming module includes sound light alarming circuit, one-chip computer module, if sound light alarming circuit is
Dry, several sound light alarming circuits are connected with the delivery outlet of the one-chip computer module in jam alarming module respectively, feature
Analysis module is connected with the one-chip computer module in jam alarming module；Wherein sound light alarming circuit includes the resistance that definite value is 1K
R3, resistance R2, active buzzer LS1, LED light D1, the NPN type triode Q1 that definite value is 1K；The one end the resistance R3 and VCC electricity
Source is connected, and the other end is connected with LED light D1；Resistance R1 is connected with active buzzer LS1 with the other end of LED light D1, LED
The other end of lamp D1 is also connected with the collector of NPN type triode Q1, the base stage and one end phase of resistance R2 of NPN type triode Q1
Even, resistance R2 is grounded as pull down resistor, the emitter of NPN type triode Q1, the other end and the one-chip computer module phase of resistance R2
Even.
Specific embodiments of the present invention are explained in detail above in conjunction with attached drawing, but the present invention is not limited to above-mentioned realities
Example is applied, it within the knowledge of a person skilled in the art, can also be without departing from the purpose of the present invention
Various changes can be made.
Claims (6)
1. a kind of congestion detection system of artificial intelligence, it is characterised in that: including image/video capture module, GPS positioning module,
Image/video processing module, image/video distribution module, target identification module, characteristics analysis module, jam alarming module；
Described image video capture module is used to carry out target area the capture of image/video；
For described image video processing module for handling the image/video captured, processing includes filtering, enhanced processing
And it is sent to image/video distribution module；
Described image video distribution module includes video distributor, video wall component, automated back-up module；Video distributor receives
To image/video processing module, treated that image/video is then sent to corresponding video wall components is shown, and deposits
Storage is in automated back-up module；
The position that the GPS positioning module is used to capture corresponding image/video capture module is positioned and is obtained vehicle
Parameter includes that the position data, speed and the image/video captured with corresponding position of vehicle vehicle are stored in automated back-up module
In；
The target identification module is used for the image/video and vehicle parameter progress target identification in automated back-up module, identification
Road congestion information out；
The characteristics analysis module is used for the road congestion information and corresponding GPS positioning mould obtained according to target identification module
The location information that block navigates to is analyzed, to judge which kind of grade jam alarming letter the congestion information on this position belongs to
Breath；
The grade jam alarming information that the jam alarming module is used to be obtained according to characteristics analysis module carries out corresponding congestion
Alarm.
2. the congestion detection system of artificial intelligence according to claim 1, it is characterised in that: described image video captures mould
Block includes camera module, single chip control module；Camera module is connect with single chip control module；Camera module uses
Camera chip OV7670；
The single chip control module includes chip AT89C52, resistance R11, R12, R13, R14, R15, R16, R17, capacitor
C6, C7, C8, crystal oscillator Y2；Wherein, chip AT89C52 pin 31 is connected with resistance R16 and connect again with LED light, resistance R11,
R12, R13, R14 are connected with relay switch respectively, and relay switch is connected with camera module again, chip AT89C52
Pin 25,26 be connected with the both ends of crystal oscillator Y2, capacitor C6, C7 are connected in parallel on the both ends of crystal oscillator Y2 and ground connection, chip pin 27
Be connected with one end of capacitor C8, resistance R17 is connected to one end of capacitor C8, resistance R17, capacitor C8 the other end be grounded, press
On the line for the centre that mono- end key K2 is connected to resistance R17 and capacitor C8, another termination 5V equipotential.
3. the congestion detection system of artificial intelligence according to claim 1, it is characterised in that: described image video handles mould
Block includes: LM4F120H5QR single-chip microcontroller, resistance R1, R5, capacitor C1, C2, C3, crystal oscillator Y1, reset key K1, switch key K3；
Described image video capture module is connect with image/video processing module；Wherein pin OSC0, OSC1 of chip LM4F120H5QR
The both ends crystal oscillator Y1 are connected, and one end of capacitor C1 and capacitor C2 are separately connected the both ends of crystal oscillator Y1, capacitor C1 and capacitor C2 are another
One end ground connection, the reseting pin of LM4F120H5QR single-chip microcontroller, the one end power supply VCC are connect with reset key K1, the one end capacitor C3,
The reset key K1 other end is connect with resistance R1, and resistance R1 and the capacitor C3 other end are grounded；LM4F120H5QR single-chip microcontroller map interlinking picture
The Serial output mouth and image/video of camera chip OV7670, the LM4F120H5QR single-chip microcontroller of video capture module capture mould
The serial input mouth pin of the chip AT89C52 of block connects, and the Serial output mouth of the chip AT89C52 of single chip control module draws
Foot is connect with the serial input mouth pin of chip LM4F120H5QR；The one end switch key K3 is connect with VCC, the other end and resistance
R5 connection, the R5 other end are connect with LM4F120H5QR single-chip microcontroller pin PB2.
4. the congestion detection system of artificial intelligence according to claim 1, it is characterised in that: the target identification module is known
When other congestion regions information, space clustering is carried out according to the position data of vehicle, speed and determines doubtful congestion regions, according to doubtful
The congestion regions of the image/video of congestion regions carry out lane segmentation, obtain road information, calculate doubtful gather around according to road information
The vehicle distributive law in stifled region, if more than preset occupy-place, it is determined that the doubtful congestion regions are congestion regions.
5. the congestion detection system of artificial intelligence according to claim 4, it is characterised in that: the characteristics analysis module packet
Congestion grading module is included, several vehicle distributive law alarm threshold values is equipped in congestion grading module, judges that target identification module is known
Not Chu the vehicle distributive laws of congestion regions when belonging to the alarm threshold value of which grade, it is concluded that different grade jam alarmings
Information.
6. the congestion detection system of artificial intelligence according to claim 1, it is characterised in that: the jam alarming module packet
Include sound light alarming circuit, one-chip computer module, sound light alarming circuit is several, several sound light alarming circuits respectively with congestion
The delivery outlet of one-chip computer module in alarm module is connected, the one-chip computer module in characteristics analysis module and jam alarming module
It is connected；Wherein sound light alarming circuit include definite value be 1K resistance R3, definite value be 1K resistance R2, active buzzer LS1,
LED light D1, NPN type triode Q1；The one end the resistance R3 is connected with VCC power end, and the other end is connected with LED light D1；Resistance
R3 is connected with active buzzer LS1 with the other end of LED light D1, collection of the other end of LED light D1 also with NPN type triode Q1
Electrode is connected, and the base stage of NPN type triode Q1 is connected with one end of resistance R2, and resistance R2 is as pull down resistor, NPN type triode
The emitter of Q1 is grounded, and the other end of resistance R2 is connected with one-chip computer module.
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| CN201810874465.8A CN109272743A (en) | 2018-08-03 | 2018-08-03 | A kind of congestion detection system of artificial intelligence |
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Application publication date: 20190125 |