IRJET- Virtual Traffic Police

International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 08 Issue: 02 | Feb 2021

p-ISSN: 2395-0072

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VIRTUAL TRAFFIC POLICE Neeraj Vithal Karoshi1, Nitesh Raju R2, Prajeeth S 3,Amogh M K4 , Monika Rani H G5 1-4Student,

Dept. of Computer Science Engineering, Sir MVIT, Karnataka, India Dept. of Computer Science Engineering, Sir MVIT, Karnataka, India ---------------------------------------------------------------------***---------------------------------------------------------------------5Professor,

Abstract -In the new advancing world, traffic rule

incorporates an programmed framework by abuse IR sensor, camera and registration plate identification application. Registration tag recognition applications by mistreated image processing algorithms can recognize the registration plate and SMS will be delivered to an individual simply if there was an occurrence of rule infringement situation. Altogether in all the nations there are square measure driving guidelines open for people to drive exactingly by being straightforward and regarding.

When these guidelines square measure broken it's plot as a street infringement. There are street infringement that occur in everyday rush hour gridlock. for example generally run of the mill infringement, for example, red light infringement, crossing the speed limit mentioned on a particular region, reordering elective vehicles through twofold lanes and single lanes. These street conventions square measure applied absolutely for the spots at any place where the vast majority of the mishaps on road occur. Investigation on this led to implementation of assistance with OpenCV and python to principally put together framework with respect to a PC . This strategy is referred to as VIRTUAL-POLICE. This strategy is implemented to facilitate the work of the police utilizing a PC program. Various technologies like image processing innovations are is utilized to distinguish the paths, vehicles and can decide vehicles which defy norms. The working group has executed the framework with the supersonic sensors in order to build a system framework to get conditions to distinguish once an infringement of traffic rules occur. It'll be simpler for the police to get the one who violated the laws of the traffic and also to monitor the police officers who accepting payoffs which are unlawful and deceptive people will be diminished. A picture of the infringement with the location, time, date and a image of the vehicle will be shared to the nearest police officers gadgets by etymologizing gadgets round the current area where infringement occurred.

infringement became a focal issue for major share of the non-industrial nations. The quantities of vehicles area unit increasing quickly even as the quantities of traffic rule infringement per area unit increasing drastically.

Overseeing traffic rule infringement has systematically been a boring and commerce off trip. Despite the very fact that the cycle of traffic boards has become mechanized, its associate is exceptionally testing issue, owing to the number of plate styles, numerous scales, turns and non-uniform enlightenment conditions throughout image getting. The key goal of this enterprise is to manage the traffic rule infringement exactly and price viably. The projected model incorporates a computerized framework that utilizes camera to catch video. The task presents Automatic variety Plate Recognition (ANPR) methods and alternative image management strategies for plate confinement and character acknowledgment that makes it faster and less complicated to acknowledge the quantity plates. Inside the wake of seeing vehicle variety from a variety registration plate tags, A SMS based general module is utilized to notify the vehicle owner regarding their infringement or encroachment. An extra message is delivered off to Regional Transport Office’s in charge department for following the acknowledgement standing Key Words: ANPR, OpenCv, neural networks, yolov3, haar cascade, automatic violation detection, deep learning

1. INTRODUCTION Mechanization or automation in everyday life has acquired significance in late years. The increase in measure of mishaps on the streets is a cause of the standard infringement like breaking traffic lights, over speeding, driving on wrong sides and so on. To evade such petty criminal offenses, traffic police must be must be constrained to constantly keeping check if some vehicles are abusing or breaking the standard rules and regulations. Certain programmed arrangements were created to dispense with the infringement; however everything about them had sure impediments. For example, the video recording cameras dispensed with the need for partner that is human assistance to identify rule infringement. In any case, the whole video must be checked physically for the standard infringement situation. During this arranged framework, a response for signal breaking infringement is given. The framework

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2. LITERATURE SURVEY [1]Author: A Wibisono, I Sina A, W Jatmiko, Nurhadiyatna, B Hardjono, Year: 2013. Abstract: This proposed framework says we can utilize not many techniques to recognize and appraise vehicle speed in the dark by utilizing CCTV Camera. Vehicle identification calculation was utilized and implemented using vehicle detection algorithms. This technique gives better discovery precision than the strategy which involves in calculating the difference between the area centroids.

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 08 Issue: 02 | Feb 2021

p-ISSN: 2395-0072

www.irjet.net

The demerit identified in testing of this process is that an error occurs in checking count of vehicles in case of the high number vehicles are identified to be moving on the road.

is pre-processing of the image captured is done, where the vehicle number plate region is identified and isolated and the number of the vehicle is extracted by character segmentation. Hence the number and vehicle is identified.

[2]Author: Amirgaliyev Beibut, Kairanbay Magzhan, Kenshimov Chingiz Year : 2014 Abstract : A programmed ANPR framework is a vital perspective in traffic gridlock.

This will assist in limiting the distinctive types of infringement of all the rules to be followed while driving.

Progressed frameworks for following and distinguishing stolen, unapproved vehicles, that is vehicles without permit, depend on robotized vehicle's registration plate identification innovation. This present paper's primary destinations are to survey different strategies and propose methods or algorithms to support the mentioned objective. A short survey is performed on the different techniques for vehicle's registration number identifying methods. Further clarifications of the proposed methods are represented in graphical structures to show how the algorithm functions. HOUGH and Genetic algorithms or methods are utilized in this process. The main demerit to consider is that the overall performance of the system may be affected on change in the climatic conditions in the concerned area or region, and also a long distance between the moving vehicle and CCTV camera fixed may influence in the poor performance of the system.

[6]Author: Mahesh Babu K, M V Raghunandh, Year: 2016 Abstract : The proposed framework will choose the particular captured image, eliminate commotions in the picture and locate the intrigued zone in the picture, at that point the registration tag area is separated utilizing identification of edge. After evacuation of noise in the image, character division and acknowledgment in the calculation gives an exactness of more than 90%. The demerits to be pointed out in this process is that the system doesn't perform well in cases like Blurred Pictures captured, damaged number registration tags, and similarities between a few characters of alphabets and numbers.

[7]Author: Worawut Yimyam, Mahasak Ketcham Year: 2017 Abstract : Planning of a mechanized parking charge figuring utilizing Vehicle, unique registration plate expects to take care of the issue of recognizing the vehicle's number at the parking garage. Many image processing handling hypotheses and other researches related to this method which involves identification of characters in number plate were utilized to plan this framework. The methods utilized in this framework are Image conversions from RBG to Gray scale image, Image conversion from Gray scale to Binary format, Detection of edges, reduction of unwanted noise in an image, Segmentation of characters and Recognition of characters and numbers present, are a few techniques to develop this system. The framework begins from capturing the pictures of vehicle's registration plate, and followed by utilization of different methods for pre-processing the image captured and noting down the date along with time when the vehicle was captured in both the entry and exit and use this information base to compute the vehicle parking charge. The consequence of the test showed that forty one out of fifty testing results were successful in identifying the characters in vehicles registration plate. Therefore, it had an accuracy more than 90% in the testing. And an accurate estimation of parking charges were noted in the process in different stages. And the potency of the system was noticed to be very good when it came to reading the characters of the vehicle's registration plate from perfect images without any drawbacks. The process involves the usage of computer visions and character recognition algorithms.

The one main demerit noticed in this process or system, is that the system faced difficulties in identifying from unclear images.

[3]Author: Vincent Lapointe, Denis Gingras, Herve Pollart, Farid Bounini, Year: 2015. Abstract : Work manages a street limits and painted lane recognition for keen and independent vehicles. It is vigorous against exogenous disturbance and various imperatives. The key merit of this task is that it is vigorous against exogenous annoyances and various other limitations. However it is sufficient to control the vehicle with a straight forward couple of unclear methods and algorithms. The demerits identified in this method is that few unclear rationale handles the vehicle's controlling, which has a limit of greatest speed of 70 km/hr in sharp hairpin curve turns.

[4]Author: Riazul islam, Kazi Fatima Sharif, Satyen Biswas Year: 2015. Abstract : This work involves associate in economical and initial Computing technique for identification of auto number vehicle number plate. The quantity of computations utilized during this project are restricted per unit area. The main advantage is that it provides a basic computing method for identifying vehicle number plate. Computation is terribly cheap compared to most of the standard methods.

Demerits : It covers solely a restricted space.

[5]Author: Dr. Munaisyah Abdullah, Dr. Aedah Abd Rahman, Mauyad Ali Hamood Bakhtan Year: 2016.

Abstract : The key purpose for which this project was implemented was to read the characters of a vehicles number plate. Which is done by image enhancement, that

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[8]Author: Yuan Jing, Mitra Mirhassani, Robeto Muscedere Bahar Youssefi Year: 2017 Abstract : Optical Character Recognition framework (OCR) can be utilized in insightful transportation frameworks for number plate

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 08 Issue: 02 | Feb 2021

p-ISSN: 2395-0072

www.irjet.net

identification. But in many cases or most occasions the frameworks can't work with images with variation in level of brightness and color which is due to electronic noise, and flawed pictures which are unclear. In this work, a strong FPGA based OCR framework has been designed and tried with defective and uproarious registration plate pictures. The OCR framework depends on a feed forward neural network, which utilizes a productive and exact neuron. The neuron transfer function depends on an estimation of the Hyperbolic Tangent Activation Function.

The neuron used is a 189 − 160 − 36 feed forward neural network setup. The network parameters were optimized and tested with clanging pictures of vehicle registration plates. The system was able to keep up with more than 95% of exactness in perceiving the characters despite of image defects. In this proposed system many supervised algorithms were used. The demerits of this system is that it works only with a proper selection of proper integrated circuit and number of samples in network

examine the vehicle number plates, and it very well may be recovered at whatever point of time when required.

Different subtleties of the proprietors of the vehicles like address and phone/contact number can be controlled at whatever point essential by reaching the framework regulatory. The motivation behind this paper is to perceive a vehicle's unique registration plate utilizing ANN, character division. The main demerit identified in this method is that it doesn't cover a vast area that is, it is restricted to a limited space coverage.

[10] Author: Ruben J Franklin, Mohana Year:2020 Abstract: The count of new vehicles out and about is expanding quickly by time, which causes exceptionally blocked streets and filling in as motivation to defy traffic guidelines by abusing them. This prompts a high number of mishaps on roads or street unmonitored. Petty traffic offense identification frameworks utilizing OpenCV are an effective device to decrease violations of traffic regulations by following and Penalizing the vehicles which failed to follow rules. The proposed framework was actualized utilizing YOLOV3 object detection algorithm for petty traffic offense identifications, for example, signal hop, over speeding vehicles more than the speed limit mentioned, and the count of vehicles passing by. Further, the framework is improved regarding exactness of performance. Utilizing the ROI where samples are recognized from a dataset, and area of the vehicle in the span of casings, deciding sign bounce. This execution got a precision of 97.67% for vehicle number count discovery and an exactness of 89.24% for speed infringement identification. YOLOv3 method is employed in this process.

[9] Author: P.Meghana, S. SagarImambi, P. Sivateja, K. Sairam Year : 2019 Abstract : Programmed number plate acknowledgment is a notable proposition in this day and age because of the fast development of number of vehicles like bicycles, motorcycles, cars, trucks, and other different vehicles.

This programmed number plate acknowledgment framework utilizes the techniques involving the technology of image processing innovation for distinguishing proof of different vehicles. This framework can be utilized in profoundly populated territories and exceptionally confined zones to effectively monitor traffic rules, and recognize the vehicles involved in act where traffic rules are violated and the proprietor's name, address and other data can be recovered utilizing this framework. This framework can be computerized and it is utilized to perceive vehicles without approval ,vehicles that abuse rules at populated zones like shopping centers, colleges, medical clinics and other vehicle parking areas. This can likewise be utilized on account of vehicle use in fear based oppressor exercises, carrying illegal goods, invalid number plates, stolen vehicles and vehicles involved in other criminal operations. It can likewise be utilized in thruway cost assortment toll gates. Picture of the vehicle unique registration number plate is caught and recognition is finished by processing of the image captured, followed by character division which finds the alphanumeric characters on a registration plate. At that point the sectioned characters are converted into text passages utilizing optical character recognition (OCR).

ANPR frameworks are as of now are accessible, however a good productivity isn't acquired altogether. These frameworks are created utilizing various techniques however a few components like speed estimation, diverse text styles, text dimensions, language in the registration plate and light conditions are needed to be investigated .These can influence a great deal in the general acknowledgment rate. ANPR frameworks use OCR to

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3. CONCLUSIONS In this task, the strategies for traffic reconnaissance have been introduced and the work on infringement monitoring, number tag extraction and character identification is done. In infringement of traffic regulations, an investigation on various foundation deduction that are accessible from the survey has been examined furthermore, and their presentation on the distinctive types of video test succession are given. It ought to be noticed that strong infringement identification is a not an easy task and its exhibition is influenced by the presence of changing enlightenment, foundation movement, cover, shadow, and so forth. A robotized infringement discovery in traffic rules and Intimation System is accomplished i.e., SMS will be sent to the rule violator and the fine sum will be deducted from their ledger.

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 08 Issue: 02 | Feb 2021

p-ISSN: 2395-0072

www.irjet.net

REFERENCES

[10]”Traffic Rules Violation Detection”, Ruben J Franklin, Mohana 2020 5th International Conference on Communication and Electronics Systems (ICCES) 10-12 June 2020

[1]”Vehicle Counting and Speed Measurement Using Headlight Detection”, A Wibisono, I Sina A , W Jatmiko, Nurhadiyatna, B Hardjono, 2013 International Conference on Advanced Computer Science and Information Systems (ICACSIS), 28-29 September 2013.

[2]”Effective algorithms and Methods for Automatic Number Plate Recognition”, Amirgaliyev Beibut, Kairanbay Magzhan, Kenshimov Chingiz, 2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT) 15-17 Oct. 2014.

[3]”Automatic Vehicle and Real Time Road Lane Detection”, Vincent Lapointe, Denis Gingras, Herve Pollart, Farid Bounini, 2015 IEEE Vehicle Power and Propulsion Conference (VPPC) 19-22 October 2015.

[4]” Automatic Vehicle NumberPlate Recognition Using Structured Elements”, Riazul islam, Kazi Fatima Sharif, Satyen Biswas, 2015 IEEE Conference on Systems, Process and Control (ICSPC) 18-20 December 2015.

[5]”A Review On License Plate Recognition System Algorithm”, Dr. Munaisyah Abdullah, Dr. Aedah Abd Rahman, Mauyad Ali Hamood Bakhtan, 2016 International Conference on Information and Communication Technology (ICICTM) 16-17 May 2016.

[6]”Vehicle Number Plate Detection and Recognition using Biunding Box Method”, 2016 International Conference on Advanced Communication Control and Computing Technologies (ICACCCT) 25-27 May 2016.

[7]”The Automated Parking Fee Calculation Using License Plate Recognition System”, Worawut Yimyam, Mahasak Ketcham 2017 International Conference on Digital Arts, Media and Technology (ICDAMT) 1-4 March 2017.

[8]”An Efficient FPGA Implementation of Optical Character Recognition for License Plate Recognition”, Yuan Jing, Mitra Mirhassani, Robeto Muscedere Bahar Youssefi 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE) 30 April-3 May 2017.

[9]”Image Recognition For Automatic Number Plate Syrveillance”, P.Meghana, S. SagarImambi, P. Sivateja, K. Sairam, 2019 International Journal of Innovative Technology and Exploring Engineering, 4 February 2019.

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