This document describes an Adaptive and Autonomous Traffic Management System (AATMS) created using LabVIEW. The system uses a camera interfaced with a microcontroller to calculate vehicle density in each lane, detect license plates, and control traffic lights autonomously based on vehicle numbers. It detects vehicles in each lane using background subtraction, thresholding, and particle analysis. License plates are localized using color planes and morphology, then segmented and recognized using OCR. Traffic lights duration is determined algorithmically based on vehicle counts. The system aims to reduce traffic and waiting times. Future applications include real-time traffic updates, automatic tolling, and detecting traffic violators.
Traffic Light Detection for Red Light Violation Systemijtsrd
The goal of Red Light Violation Detection System RLVDS is to track down vehicles that violated traffic regulations using surveillance cameras and image processing techniques. A complete automated red light runner detection algorithm that satisfies real time requirement and gives higher accuracy have been developed. The system detects simultaneously a traffic light sequence, stop line and detection region to detect moving vehicles and capture the vehicles beyond the stop line while the light is red and finally generates the red light running vehicle images with date and time information. In this paper, we propose a traffic light detection algorithm which is one of the processes of automated red light runner detection system. The proposed traffic light detection system includes four steps color space conversion based on RGB color space, some regions are extracted as candidates of a traffic light and morphological operation is applied to eliminate disturbance in the environment that can interfere with the traffic light states. Then, the types of traffic signals are judged by calculating image moments and the results of experiment show that the system is stable and reliable. Thwe War War Zaw | Ohnmar Win ""Traffic Light Detection for Red Light Violation System"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25185.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/25185/traffic-light-detection-for-red-light-violation-system/thwe-war-war-zaw
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Vehicle Recognition at Night Based on Tail LightDetection Using Image ProcessingIJRES Journal
Automatic recognition of vehicles in front can be used as a component of systems for forward collisions prevention. When driving in dark conditions, vehicles in front are generally visible by their back lights. Present an algorithm that detects vehicles at night using a camera by searching for tail lights. Develop an image processing systems that can efficiently spot vehicles at different distances and in weather and lightning conditions.
REVIEW OF LANE DETECTION AND TRACKING ALGORITHMS IN ADVANCED DRIVER ASSISTANC...ijcsit
Lane detection and tracking is one of the key features of advanced driver assistance system. Lane detection is finding the white markings on a dark road. Lane tracking use the previously detected lane markers and adjusts itself according to the motion model. In this paper, review of lane detection and tracking algorithms developed in the last decade is discussed. Several modalities are considered for lane detection which
include vision, LIDAR, vehicle odometry information,information from global positioning system and digital maps. The lane detection and tracking is one of the challenging problems in computer vision.Different vision based lane detection techniques are explained in the paper. The performance of different lane detection and tracking algorithms is also compared and studied.
Traffic Light Detection for Red Light Violation Systemijtsrd
The goal of Red Light Violation Detection System RLVDS is to track down vehicles that violated traffic regulations using surveillance cameras and image processing techniques. A complete automated red light runner detection algorithm that satisfies real time requirement and gives higher accuracy have been developed. The system detects simultaneously a traffic light sequence, stop line and detection region to detect moving vehicles and capture the vehicles beyond the stop line while the light is red and finally generates the red light running vehicle images with date and time information. In this paper, we propose a traffic light detection algorithm which is one of the processes of automated red light runner detection system. The proposed traffic light detection system includes four steps color space conversion based on RGB color space, some regions are extracted as candidates of a traffic light and morphological operation is applied to eliminate disturbance in the environment that can interfere with the traffic light states. Then, the types of traffic signals are judged by calculating image moments and the results of experiment show that the system is stable and reliable. Thwe War War Zaw | Ohnmar Win ""Traffic Light Detection for Red Light Violation System"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25185.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/25185/traffic-light-detection-for-red-light-violation-system/thwe-war-war-zaw
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Vehicle Recognition at Night Based on Tail LightDetection Using Image ProcessingIJRES Journal
Automatic recognition of vehicles in front can be used as a component of systems for forward collisions prevention. When driving in dark conditions, vehicles in front are generally visible by their back lights. Present an algorithm that detects vehicles at night using a camera by searching for tail lights. Develop an image processing systems that can efficiently spot vehicles at different distances and in weather and lightning conditions.
REVIEW OF LANE DETECTION AND TRACKING ALGORITHMS IN ADVANCED DRIVER ASSISTANC...ijcsit
Lane detection and tracking is one of the key features of advanced driver assistance system. Lane detection is finding the white markings on a dark road. Lane tracking use the previously detected lane markers and adjusts itself according to the motion model. In this paper, review of lane detection and tracking algorithms developed in the last decade is discussed. Several modalities are considered for lane detection which
include vision, LIDAR, vehicle odometry information,information from global positioning system and digital maps. The lane detection and tracking is one of the challenging problems in computer vision.Different vision based lane detection techniques are explained in the paper. The performance of different lane detection and tracking algorithms is also compared and studied.
Implementation of a lane-tracking system for autonomous driving using Kalman ...Francesco Corucci
This project was developed for a Digital Control class. It consists of a system that is able to identify and track lane marks in a video acquired by webcam. It's interesting how the Kalman filter is used in such a context in order to make the lane detection computationally feasible in the small amount of time between two subsequent video frames
A Study on Single Camera Based ANPR System for Improvement of Vehicle Number ...journal ijrtem
ABSTRACT : In this paper, we introduce the single camera-based number recognition system used for this system recognizes vehicle number plates on one lane by using a single camera. Intelligent transport system (ITS) has been constructed because there is a limit in solving traffic problems in a physical manner such as construction of roads and subways. The single camera-based number recognition system used for this system recognizes vehicle number plates on one lane by using a single camera. Due to the increased cost of the installation and maintenance thereof, there is a growing need for a multi-lane-based number recognition system. When the single camera-based number recognition system is used for multi-lane recognition, the recognition rate is lowered due to a difference in vehicle image size among lanes and a low-resolution problem. Therefore, in this study, we applied a character extraction algorithm using connected vertical and horizontal edge segments-based labeling to improve multi-lane vehicle number recognition rate and thereby to allow application of the single camera-based system to multi-lane roads.
Road traffic jam becomes a serious issue for highly crowded metropolitan cities. India is that the
second most populated country within the world and may be a fast growing economy. it's facing terrible road
congestion within the cities. consistent with Times of India about 30 percent of deaths are caused thanks to delayed
ambulance to succeed in at hospital. In proposed system we try to scale back the delay for the ambulance. To
smoothen the ambulance movement, we come up with “Auto Traffic Management System”. We try to supply the
green signals for ambulance by switching the signals. We are getting to use the technologies like RFIDs. Whenever
signal detects the ambulance almost signal, then signal switches to green. As this technique is fully automated, it
recognize the ambulance and control traffic signals. this technique controls traffic signal and saves the time in
emergency period. Also we've automated camera which can help in monitoring the traffic jam . Thus it act as a
life saver project.
Automatic Road Sign Recognition From VideoDr Wei Liu
Road signs provide important information for guiding, warning, or regulating the drivers’ behaviour in order to make driving safer and easier. The Road Sign Recognition (RSR) is a field of applied computer vision research concerned with the automatic detection and classification of traffic signs in traffic scene images acquired from a moving car. Pavement Management Services has developed the first truly spatially registered video system in Australia. The digital video system offers continuous, high resolution video capture of five different views along the roadway. In this paper a road sign recognition system (RS2) for the high resolution roadside video recorded by PMS system will be introduced. The recognition process of RS2 is divided into three distinct parts: detection and location, recognition and classification, and display and record for information of road signs. While lots of attempts at automated sign recognition were based on the detection of shape patterns, the proposed method for PMS Video detects road signs by recognising their patterns in color space. Based on the performance testing of proposed RS2 for the road video collected in state highway network, the proposed approach is found to be robust and fast for detection of most of road signs commonly found in New Zealand, including warning signs, information signs, regulatory signs, and street signs. The sign recognition results include the exact locations of the road sign, types of road sign, and the images containing the road sign detected, which can be presented in various format and be used in sign condition evaluation for asset management.
Automatic License Plate Recognition using OpenCVEditor IJCATR
Automatic License Plate Recognition system is a real time embedded system which automatically recognizes the license plate of vehicles. There are many applications ranging from complex security systems to common areas and from parking admission to urban traffic control. Automatic license plate recognition (ALPR) has complex characteristics due to diverse effects such as of light and speed. Most of the ALPR systems are built using proprietary tools like Matlab. This paper presents an alternative method of implementing ALPR systems using Free Software including Python and the Open Computer Vision Library.
Autonomous Traffic Signal Control using Decision Tree IJECEIAES
The objective of this paper is to introduce an effective and efficient way of traffic signal light control to optimize the traffic signal duration across each lanes and thereby, to minimize or completely eliminate traffic congestion. This paper introduces a new approach to resolve the traffic congestion problem at junctions by making use of decision trees. The vehicle count in the real time traffic video is determined by Image Processing technique. This information is fed to the decision tree based on which the decision is made regarding the status of traffic signal lights of each lane at the junction at any given instant of time.
Vehicle Speed Estimation using Haar Classifier Algorithmijtsrd
An efficient traffic management system is needed in all kinds of roads, such as off roads, highways, etc... Though several laws and speed controller has been attached to the vehicles, Speed limit may vary from road to road. Still Traffic management system faces different kinds of challenges everyday and its being a research area though number of proposals has been identified. Many numbers of methods has been proposed in computer Vision and machine learning approaches for object tracking. In this paper vehicles are identified and detected using a videos that taken from surveillance camera. The objective of the present work is to identification of the vehicles is done by using Computer vision technique and detection of vehicles using Haar cascade classifier. Detecting the vehicles using machine learning and estimating speed is tough but beneficial task. For the past few tears Convolution Neural Network CNN has been widely used in computer vision for vehicle detection and identification. This method manages to track multiple objects at real time using dlibs. P. Devi Mahalakshmi | Dr. M. Babu "Vehicle Speed Estimation using Haar Classifier Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29482.pdfPaper URL: https://www.ijtsrd.com/computer-science/other/29482/vehicle-speed-estimation-using-haar-classifier-algorithm/p-devi-mahalakshmi
Localization of License Plate Number Using Dynamic Image Processing Techniq...KaashivInfoTech Company
In this research, the design of a new genetic algorithm (GA) is introduced to detect the locations of license plate (LP) symbols. An adaptive threshold method is applied to overcome the dynamic changes of illumination conditions when
Converting the image into binary. Connected component analysis technique (CCAT) is used to detect candidate objects inside the unknown image. A scale-invariant geometric relationship matrix is introduced to model the layout of symbols in any LP that simplifies system adaptability when applied in different
Countries. Moreover, two new crossover operators, based on sorting, are introduced, which greatly improve the convergence speed of the system. Most of the CCAT problems, such as touching or broken bodies, are minimized by modifying the GA to perform partial match until reaching an acceptable fitness
Value. The system is implemented using MATLAB and various image samples are experimented with to verify the distinction of the proposed system. Encouraging results with 98.4% overall accuracy are reported for two different datasets having variability in orientation, scaling, plate location, illumination, and complex
Background. Examples of distorted plate images are successfully detected due to the independency on the shape, color, or location of the plate.
Index Terms-Genetic algorithms (GAs), image processing, image representations, license plate detection, machine vision, road vehicle identification, sorting crossover.
http://kaashivinfotech.com/
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http://inplanttraining-in-chennai.com/
http://internshipinchennai.in/
http://inplant-training.org/
http://kernelmind.com/
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A Vision based Driver Support System for Road Sign Detectionidescitation
In this paper, we proposed a replacement hybrid multipath routing protocol for
MANET known as Hybrid Multipath Progressive Routing Protocol for MANET (HMPRP),
during this work we improve the performance of accepted MANET routing protocols,
namely, the Ad-hoc On-demand Distance Vector routing protocol and use of their most
popular properties to formulate a replacement Hybrid routing protocol using the received
signal strength. The proposed routing protocol optimizes the information measure usage of
MANETs by reducing the routing overload and overhead. This proposed routing protocol
additionally extends the battery lifetime of the mobile devices by reducing the specified
variety of operations for (i) Route determination (ii) for packet forwarding. Simulation
results are used to draw conclusions regarding the proposed routing algorithm and
compared it with the AODV, OLSR, and ZRP protocol. Experiments carried out based on
this proposed algorithm, shows that better performance are achieved with regard to AODV,
OLSR, and ZRP routing algorithm in terms of packet delivery ratio, throughput, energy
consumed and end-to-end packet delay.
Arm cortex ( lpc 2148 ) based motor speed control Uday Wankar
The project is designed to control the speed of a DC and AC motor using an ARM7 LPC2148 processor. The speed of motor is directly proportional to the voltage applied across its terminals. Hence, if voltage across motor terminal is varied, then speed can also be varied. This project uses the above principle to control the speed of the motor by varying the duty cycle of the pulses applied to it, popularly known as PWM control. The project uses input button interfaced to the processor, which are used to control the speed of motor. Pulse Width Modulation is generated at the output by the microcontroller as per the program. The program is written in Embedded C.
The average voltage given or the average current flowing through the motor will change depending on the duty cycle, ON and OFF time of the pulses, so the speed of the motor will change. A motor driver IC is interfaced to the ARM7 LPC2148 processor board for receiving PWM signals and delivering desired output for speed control. Further the project can be enhanced by using power electronic devices such as IGBTs to achieve speed control higher capacity industrial motors.
Implementation of a lane-tracking system for autonomous driving using Kalman ...Francesco Corucci
This project was developed for a Digital Control class. It consists of a system that is able to identify and track lane marks in a video acquired by webcam. It's interesting how the Kalman filter is used in such a context in order to make the lane detection computationally feasible in the small amount of time between two subsequent video frames
A Study on Single Camera Based ANPR System for Improvement of Vehicle Number ...journal ijrtem
ABSTRACT : In this paper, we introduce the single camera-based number recognition system used for this system recognizes vehicle number plates on one lane by using a single camera. Intelligent transport system (ITS) has been constructed because there is a limit in solving traffic problems in a physical manner such as construction of roads and subways. The single camera-based number recognition system used for this system recognizes vehicle number plates on one lane by using a single camera. Due to the increased cost of the installation and maintenance thereof, there is a growing need for a multi-lane-based number recognition system. When the single camera-based number recognition system is used for multi-lane recognition, the recognition rate is lowered due to a difference in vehicle image size among lanes and a low-resolution problem. Therefore, in this study, we applied a character extraction algorithm using connected vertical and horizontal edge segments-based labeling to improve multi-lane vehicle number recognition rate and thereby to allow application of the single camera-based system to multi-lane roads.
Road traffic jam becomes a serious issue for highly crowded metropolitan cities. India is that the
second most populated country within the world and may be a fast growing economy. it's facing terrible road
congestion within the cities. consistent with Times of India about 30 percent of deaths are caused thanks to delayed
ambulance to succeed in at hospital. In proposed system we try to scale back the delay for the ambulance. To
smoothen the ambulance movement, we come up with “Auto Traffic Management System”. We try to supply the
green signals for ambulance by switching the signals. We are getting to use the technologies like RFIDs. Whenever
signal detects the ambulance almost signal, then signal switches to green. As this technique is fully automated, it
recognize the ambulance and control traffic signals. this technique controls traffic signal and saves the time in
emergency period. Also we've automated camera which can help in monitoring the traffic jam . Thus it act as a
life saver project.
Automatic Road Sign Recognition From VideoDr Wei Liu
Road signs provide important information for guiding, warning, or regulating the drivers’ behaviour in order to make driving safer and easier. The Road Sign Recognition (RSR) is a field of applied computer vision research concerned with the automatic detection and classification of traffic signs in traffic scene images acquired from a moving car. Pavement Management Services has developed the first truly spatially registered video system in Australia. The digital video system offers continuous, high resolution video capture of five different views along the roadway. In this paper a road sign recognition system (RS2) for the high resolution roadside video recorded by PMS system will be introduced. The recognition process of RS2 is divided into three distinct parts: detection and location, recognition and classification, and display and record for information of road signs. While lots of attempts at automated sign recognition were based on the detection of shape patterns, the proposed method for PMS Video detects road signs by recognising their patterns in color space. Based on the performance testing of proposed RS2 for the road video collected in state highway network, the proposed approach is found to be robust and fast for detection of most of road signs commonly found in New Zealand, including warning signs, information signs, regulatory signs, and street signs. The sign recognition results include the exact locations of the road sign, types of road sign, and the images containing the road sign detected, which can be presented in various format and be used in sign condition evaluation for asset management.
Automatic License Plate Recognition using OpenCVEditor IJCATR
Automatic License Plate Recognition system is a real time embedded system which automatically recognizes the license plate of vehicles. There are many applications ranging from complex security systems to common areas and from parking admission to urban traffic control. Automatic license plate recognition (ALPR) has complex characteristics due to diverse effects such as of light and speed. Most of the ALPR systems are built using proprietary tools like Matlab. This paper presents an alternative method of implementing ALPR systems using Free Software including Python and the Open Computer Vision Library.
Autonomous Traffic Signal Control using Decision Tree IJECEIAES
The objective of this paper is to introduce an effective and efficient way of traffic signal light control to optimize the traffic signal duration across each lanes and thereby, to minimize or completely eliminate traffic congestion. This paper introduces a new approach to resolve the traffic congestion problem at junctions by making use of decision trees. The vehicle count in the real time traffic video is determined by Image Processing technique. This information is fed to the decision tree based on which the decision is made regarding the status of traffic signal lights of each lane at the junction at any given instant of time.
Vehicle Speed Estimation using Haar Classifier Algorithmijtsrd
An efficient traffic management system is needed in all kinds of roads, such as off roads, highways, etc... Though several laws and speed controller has been attached to the vehicles, Speed limit may vary from road to road. Still Traffic management system faces different kinds of challenges everyday and its being a research area though number of proposals has been identified. Many numbers of methods has been proposed in computer Vision and machine learning approaches for object tracking. In this paper vehicles are identified and detected using a videos that taken from surveillance camera. The objective of the present work is to identification of the vehicles is done by using Computer vision technique and detection of vehicles using Haar cascade classifier. Detecting the vehicles using machine learning and estimating speed is tough but beneficial task. For the past few tears Convolution Neural Network CNN has been widely used in computer vision for vehicle detection and identification. This method manages to track multiple objects at real time using dlibs. P. Devi Mahalakshmi | Dr. M. Babu "Vehicle Speed Estimation using Haar Classifier Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29482.pdfPaper URL: https://www.ijtsrd.com/computer-science/other/29482/vehicle-speed-estimation-using-haar-classifier-algorithm/p-devi-mahalakshmi
Localization of License Plate Number Using Dynamic Image Processing Techniq...KaashivInfoTech Company
In this research, the design of a new genetic algorithm (GA) is introduced to detect the locations of license plate (LP) symbols. An adaptive threshold method is applied to overcome the dynamic changes of illumination conditions when
Converting the image into binary. Connected component analysis technique (CCAT) is used to detect candidate objects inside the unknown image. A scale-invariant geometric relationship matrix is introduced to model the layout of symbols in any LP that simplifies system adaptability when applied in different
Countries. Moreover, two new crossover operators, based on sorting, are introduced, which greatly improve the convergence speed of the system. Most of the CCAT problems, such as touching or broken bodies, are minimized by modifying the GA to perform partial match until reaching an acceptable fitness
Value. The system is implemented using MATLAB and various image samples are experimented with to verify the distinction of the proposed system. Encouraging results with 98.4% overall accuracy are reported for two different datasets having variability in orientation, scaling, plate location, illumination, and complex
Background. Examples of distorted plate images are successfully detected due to the independency on the shape, color, or location of the plate.
Index Terms-Genetic algorithms (GAs), image processing, image representations, license plate detection, machine vision, road vehicle identification, sorting crossover.
http://kaashivinfotech.com/
http://inplanttrainingchennai.com/
http://inplanttraining-in-chennai.com/
http://internshipinchennai.in/
http://inplant-training.org/
http://kernelmind.com/
http://inplanttraining-in-chennai.com/
http://inplanttrainingchennai.com/
A Vision based Driver Support System for Road Sign Detectionidescitation
In this paper, we proposed a replacement hybrid multipath routing protocol for
MANET known as Hybrid Multipath Progressive Routing Protocol for MANET (HMPRP),
during this work we improve the performance of accepted MANET routing protocols,
namely, the Ad-hoc On-demand Distance Vector routing protocol and use of their most
popular properties to formulate a replacement Hybrid routing protocol using the received
signal strength. The proposed routing protocol optimizes the information measure usage of
MANETs by reducing the routing overload and overhead. This proposed routing protocol
additionally extends the battery lifetime of the mobile devices by reducing the specified
variety of operations for (i) Route determination (ii) for packet forwarding. Simulation
results are used to draw conclusions regarding the proposed routing algorithm and
compared it with the AODV, OLSR, and ZRP protocol. Experiments carried out based on
this proposed algorithm, shows that better performance are achieved with regard to AODV,
OLSR, and ZRP routing algorithm in terms of packet delivery ratio, throughput, energy
consumed and end-to-end packet delay.
Arm cortex ( lpc 2148 ) based motor speed control Uday Wankar
The project is designed to control the speed of a DC and AC motor using an ARM7 LPC2148 processor. The speed of motor is directly proportional to the voltage applied across its terminals. Hence, if voltage across motor terminal is varied, then speed can also be varied. This project uses the above principle to control the speed of the motor by varying the duty cycle of the pulses applied to it, popularly known as PWM control. The project uses input button interfaced to the processor, which are used to control the speed of motor. Pulse Width Modulation is generated at the output by the microcontroller as per the program. The program is written in Embedded C.
The average voltage given or the average current flowing through the motor will change depending on the duty cycle, ON and OFF time of the pulses, so the speed of the motor will change. A motor driver IC is interfaced to the ARM7 LPC2148 processor board for receiving PWM signals and delivering desired output for speed control. Further the project can be enhanced by using power electronic devices such as IGBTs to achieve speed control higher capacity industrial motors.
This is density based traffic light control system using Programmable logic controller(PLC). Then side which have more vehicles(density) will be getting on first. This process will take place according to number of vehicles.
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Micro controller based Traffic control systemRohit Kumar
This project deals with traffic system controlled by a microcontroller.
using IR controllers instead of using old timing circuits.
This system aims to provide much better and safer way of controlling Traffic signal system.
This system of controlling will help a lot in future.
Traffic Signboard Classification with Voice alert to the driver.pptxharimaxwell0712
The basic idea of proposed system is to provide alertness to the driver about the presence of traffic signboard at a particular distance apart. It generates a warning to the driver in advance of any danger. The warning allows the driver to take appropriate actions in order to avoid the accident.The system takes continuous video input from the console monitor or camera installed on the car's bonnet. The underlying algorithm extracts the features of the input image and matches them with an existing library of traffic sign.
The output is fed to the driving assistance system and in turn drives the car accordingly. We developed this intelligent system using Machine Learning.This device will take camera feeds and upgrade the system
instantaneously.
Programmed Number Plate Recognition is truncated as ANPR. An Automatic Number Plate Recognition utilizes optical character acknowledgment innovation to naturally peruse vehicle tag as an Image.
Accident Avoidance by using Road Sign Recognition System
niyantra 2014
1. ADAPTIVE AND
AUTONOMOUS TRAFFIC
MANAGEMENT SYSTEM
(A.A.T.M.S.) USING
LabVIEW
DELHI TECHNOLOGICAL UNIVERSITY
National Conference on Advanced Computing and Research (NCACR)-
2015
2. INTRODUCTION
The Adaptive and Autonomous
Traffic Management System
(AATMS) is an Intelligent Transport
System(ITS) and is of considerable
interest because of its potential in
managing real-time multi- lane traffic
using a camera interfaced with a
microcontroller.
6. DETECTION OF VEHICLES IN
EACH LANE
Original
Image
Background
Subtraction
Threshold Morphology
Particle
Analysis
RESULTS
Background Model Current Frame Subtracted Image After Morphology
After Particle Analysis
7. TRAFFIC LIGHTS CONTROL
ALGORITHM
The duration of active green signal depends upon the number
of vehicles/vehicle density in each lane.
The loop starts with Lane 1 and iterates till Lane 4 taking one
frame of video at a time.
If Ambulance is detected, an interrupt is generated to give
active green signal to that lane after which the loop iterates
sequentially like before.
An over-ride switch is provided. When this is active, an equal
delay is provided to each lane independent of the number of
vehicles. This is useful if cameras are to be uninstalled for
maintainance work.
The data of number of cars of each lane is stored in a 1-D
array for processing.
8. ASSUMPTIONS…
At a time, only one
lane has an active
green signal
Left turn is always free
The duration of
forward green signal
and right turn green
signal is same.
Illustration
10. APPLICATIONS
PREVENTION OFHEAVY
TRAFFIC JAMS
The system sets different delays for
different lanes depending upon the
number of vehicles in that lane, thus
preventing unnecessary traffic jams.
REAL TIME TRAFFIC
UPDATE
The real time traffic
information of traffic density
can be updated on the traffic
website wherein the users can
easily access that information.
SOLUTION TO
UNNECESSARY WAITING
Our system provides the
method which successfully
reduces the waiting time of
commuters at traffic junctions
even if there is no traffic.
12. LICENSE PLATE LOCALISATION
Original
Image
Color Plane
Extraction
Threshold
Binary
Inversion
Morphology
Particle
Filter
RESULTS
Original Image
Image Mask
After Binary Inversion
After Morphological Operations
After Image Mask
14. RESULTS IN LabVIEW
Vehicle 1Vehicle 2Vehicle 3
The above algorithm is
also implemented on Real
Time Videos which shows
the practical
implementation of our
project
15. APPLICATIONS
GENERATION OF DATABASE
This system automatically generates
the database of identified license
plates from which the defaulters can
be identified.
AUTOMATED PARKING SYSTEM
In Multilevel Parking Systems,
different spots can be pre-assigned
to different users. So the users is
identified via Registration Plate
detection and their vehicles are
parked automatically.
AUTOMATED TOLL
COLLECTION
The commuters can be
identified via license plate
detection and automatically
the toll can be debited from
their account.
AUTOMATIC
GENERATION OF E-
CHALLAN
The commuters can be
identified via license plate
detection and automatically
the challan can be debited
from their account.
AUTOMATIC TRACKING OF
TRAFFIC LIGHT DEFAULTERS
16. FUTURE SCOPE....
REAL TIME TRAFFIC INFORMATION
UPDATE ON TRAFFIC DEPARTMENT
WEBSITE
AUTOMATIC GENERATION OF E-
CHALLAN
AUTOMATIC TRACKING OF TRAFFIC
LAWS DEFAULTERS
IMPLEMENTATION OF ABOVE
SYSTEM AT NIGHT USING THERMAL
CAMERAS
DETECTION OF OTHER EMERGENCY
VEHICLES