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<!DOCTYPE html> <html > <head> <meta charset="utf-8"> <meta rel="search" type="application/opensearchdescription+xml" href="/open_search.xml" title="Academia.edu"> <meta content="width=device-width, initial-scale=1" name="viewport"> <meta name="google-site-verification" content="bKJMBZA7E43xhDOopFZkssMMkBRjvYERV-NaN4R6mrs"> <meta name="csrf-param" content="authenticity_token" /> <meta name="csrf-token" content="ASBecnjMTmUyjWzj8LMA/b/3Tzjgkl/GHzFf6EfBqOjbhQIH3uAVYvR6LcnJ6tOe924MlnY373Z5zWjjhfyAUQ==" /> <meta name="citation_title" content="Implementing Smart Control of Emergency Vehicle Using Image Processing" /> <meta name="citation_author" content="IJARTET Journal" /> <meta name="twitter:card" content="summary" /> <meta name="twitter:url" content="https://www.academia.edu/32197377/Implementing_Smart_Control_of_Emergency_Vehicle_Using_Image_Processing" /> <meta name="twitter:title" content="Implementing Smart Control of Emergency Vehicle Using Image Processing" /> <meta name="twitter:description" content="The common reason for traffic congestion is due to poor traffic prioritization, where there are situations some lane have less traffic than the other and the equal green signal duration for both affect the wastage of resources and drives are" /> <meta name="twitter:image" content="https://0.academia-photos.com/17764044/4961299/5698660/s200_ijartet.journal.jpg" /> <meta property="fb:app_id" content="2369844204" /> <meta property="og:type" content="article" /> <meta property="og:url" content="https://www.academia.edu/32197377/Implementing_Smart_Control_of_Emergency_Vehicle_Using_Image_Processing" /> <meta property="og:title" content="Implementing Smart Control of Emergency Vehicle Using Image Processing" /> <meta property="og:image" content="http://a.academia-assets.com/images/open-graph-icons/fb-paper.gif" /> <meta property="og:description" content="The common reason for traffic congestion is due to poor traffic prioritization, where there are situations some lane have less traffic than the other and the equal green signal duration for both affect the wastage of resources and drives are" /> <meta property="article:author" content="https://independent.academia.edu/ijartet" /> <meta name="description" content="The common reason for traffic congestion is due to poor traffic prioritization, where there are situations some lane have less traffic than the other and the equal green signal duration for both affect the wastage of resources and drives are" /> <title>(PDF) Implementing Smart Control of Emergency Vehicle Using Image Processing | IJARTET Journal - Academia.edu</title> <link rel="canonical" href="https://www.academia.edu/32197377/Implementing_Smart_Control_of_Emergency_Vehicle_Using_Image_Processing" /> <script async src="https://www.googletagmanager.com/gtag/js?id=G-5VKX33P2DS"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-5VKX33P2DS', { cookie_domain: 'academia.edu', send_page_view: false, }); gtag('event', 'page_view', { 'controller': "single_work", 'action': "show", 'controller_action': 'single_work#show', 'logged_in': 'false', 'edge': 'unknown', // Send nil if there is no A/B test bucket, in case some records get logged // with missing data - that way we can distinguish between the two cases. // ab_test_bucket should be of the form <ab_test_name>:<bucket> 'ab_test_bucket': null, }) </script> <script> var $controller_name = 'single_work'; var $action_name = "show"; var $rails_env = 'production'; var $app_rev = '49879c2402910372f4abc62630a427bbe033d190'; var $domain = 'academia.edu'; var $app_host = "academia.edu"; var $asset_host = "academia-assets.com"; var $start_time = new Date().getTime(); var $recaptcha_key = "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB"; var $recaptcha_invisible_key = "6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj"; var $disableClientRecordHit = false; </script> <script> window.require = { config: function() { return function() {} } } </script> <script> window.Aedu = window.Aedu || {}; window.Aedu.hit_data = null; window.Aedu.serverRenderTime = new Date(1732495537000); window.Aedu.timeDifference = new Date().getTime() - 1732495537000; </script> <script type="application/ld+json">{"@context":"https://schema.org","@type":"ScholarlyArticle","abstract":"The common reason for traffic congestion is due to poor traffic prioritization, where there are situations some lane have less traffic than the other and the equal green signal duration for both affect the wastage of resources and drives are stressed. The aim of this project is control traffic signals with the help of surveillance camera present at the junction points. The frames of the traffics obtained from the camera through continuous video processing. To determine the ambulance, an image from the camera is used to detect the ambulance letter from the vehicle. According to the result obtained from the camera, the time for respective green signal is given which varies time to time. But when an emergency vehicle such as an ambulance is detected, the current green lane will become red and the counter display will show an ambulance symbol, after a few seconds the lane having the ambulance will be allowed. In case if there are two ambulances detected in the junction point, the ambulance which is nearer to the signal get the priority first. Successful implementation of our research will result in faster clearance of traffic and improvement in the transportation of emergency vehicles.","author":[{"@context":"https://schema.org","@type":"Person","name":"IJARTET Journal"}],"contributor":[],"dateCreated":"2017-04-02","dateModified":"2017-04-02","datePublished":null,"headline":"Implementing Smart Control of Emergency Vehicle Using Image Processing","inLanguage":"en","keywords":["Computer Science"],"locationCreated":null,"publication":null,"publisher":{"@context":"https://schema.org","@type":"Organization","name":null},"image":null,"thumbnailUrl":null,"url":"https://www.academia.edu/32197377/Implementing_Smart_Control_of_Emergency_Vehicle_Using_Image_Processing","sourceOrganization":[{"@context":"https://schema.org","@type":"EducationalOrganization","name":null}]}</script><link rel="stylesheet" media="all" 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have less traffic than the other and the equal green signal duration for both affect the wastage of resources and drives are stressed. The aim of this project is control traffic signals with the help of surveillance camera present at the junction points. The frames of the traffics obtained from the camera through continuous video processing. To determine the ambulance, an image from the camera is used to detect the ambulance letter from the vehicle. According to the result obtained from the camera, the time for respective green signal is given which varies time to time. But when an emergency vehicle such as an ambulance is detected, the current green lane will become red and the counter display will show an ambulance symbol, after a few seconds the lane having the ambulance will be allowed. In case if there are two ambulances detected in the junction point, the ambulance which is nearer to the signal get the priority first. Successful implementation of our research will result in faster clearance of traffic and improvement in the transportation of emergency vehicles."},"document_type":"paper","pre_hit_view_count_baseline":null,"quality":"high","language":"en","title":"Implementing Smart Control of Emergency Vehicle Using Image Processing","broadcastable":true,"draft":null,"has_indexable_attachment":true,"indexable":true}}["work"]; window.loswp.workCoauthors = [17764044]; window.loswp.locale = "en"; window.loswp.countryCode = "SG"; window.loswp.cwvAbTestBucket = ""; window.loswp.designVariant = "ds_vanilla"; window.loswp.fullPageMobileSutdModalVariant = "full_page_mobile_sutd_modal"; window.loswp.useOptimizedScribd4genScript = false; window.loswp.appleClientId = 'edu.academia.applesignon';</script><script defer="" src="https://accounts.google.com/gsi/client"></script><div class="ds-loswp-container"><div class="ds-work-card--grid-container"><div class="ds-work-card--container js-loswp-work-card"><div class="ds-work-card--cover"><div class="ds-work-cover--wrapper"><div class="ds-work-cover--container"><button class="ds-work-cover--clickable js-swp-download-button" data-signup-modal="{"location":"swp-splash-paper-cover","attachmentId":52429058,"attachmentType":"pdf"}"><img alt="First page of “Implementing Smart Control of Emergency Vehicle Using Image Processing”" class="ds-work-cover--cover-thumbnail" src="https://0.academia-photos.com/attachment_thumbnails/52429058/mini_magick20190122-20566-17rpchr.png?1548227482" /><img alt="PDF Icon" class="ds-work-cover--file-icon" src="//a.academia-assets.com/assets/single_work_splash/adobe.icon-574afd46eb6b03a77a153a647fb47e30546f9215c0ee6a25df597a779717f9ef.svg" /><div class="ds-work-cover--hover-container"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span><p>Download Free PDF</p></div><div class="ds-work-cover--ribbon-container">Download Free PDF</div><div class="ds-work-cover--ribbon-triangle"></div></button></div></div></div><div class="ds-work-card--work-information"><h1 class="ds-work-card--work-title">Implementing Smart Control of Emergency Vehicle Using Image Processing</h1><div class="ds-work-card--work-authors ds-work-card--detail"><a class="ds-work-card--author js-wsj-grid-card-author ds2-5-body-md ds2-5-body-link" data-author-id="17764044" href="https://independent.academia.edu/ijartet"><img alt="Profile image of IJARTET Journal" class="ds-work-card--author-avatar" src="https://0.academia-photos.com/17764044/4961299/5698660/s65_ijartet.journal.jpg" />IJARTET Journal</a></div><p class="ds-work-card--work-abstract ds-work-card--detail ds2-5-body-md">The common reason for traffic congestion is due to poor traffic prioritization, where there are situations some lane have less traffic than the other and the equal green signal duration for both affect the wastage of resources and drives are stressed. The aim of this project is control traffic signals with the help of surveillance camera present at the junction points. The frames of the traffics obtained from the camera through continuous video processing. To determine the ambulance, an image from the camera is used to detect the ambulance letter from the vehicle. According to the result obtained from the camera, the time for respective green signal is given which varies time to time. But when an emergency vehicle such as an ambulance is detected, the current green lane will become red and the counter display will show an ambulance symbol, after a few seconds the lane having the ambulance will be allowed. In case if there are two ambulances detected in the junction point, the ambulance which is nearer to the signal get the priority first. Successful implementation of our research will result in faster clearance of traffic and improvement in the transportation of emergency vehicles.</p><div class="ds-work-card--button-container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--work-card","attachmentId":52429058,"attachmentType":"pdf","workUrl":"https://www.academia.edu/32197377/Implementing_Smart_Control_of_Emergency_Vehicle_Using_Image_Processing"}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--work-card","attachmentId":52429058,"attachmentType":"pdf","workUrl":"https://www.academia.edu/32197377/Implementing_Smart_Control_of_Emergency_Vehicle_Using_Image_Processing"}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div></div><div data-auto_select="false" data-client_id="331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b" data-doc_id="52429058" data-landing_url="https://www.academia.edu/32197377/Implementing_Smart_Control_of_Emergency_Vehicle_Using_Image_Processing" data-login_uri="https://www.academia.edu/registrations/google_one_tap" data-moment_callback="onGoogleOneTapEvent" id="g_id_onload"></div><div class="ds-top-related-works--grid-container"><div class="ds-related-content--container ds-top-related-works--container"><h2 class="ds-related-content--heading">Related papers</h2><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="0" data-entity-id="36868336" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/36868336/Density_Based_Smart_Traffic_Light_Control_System_and_Emergency_Vehicle_Detection_Based_On_Image_Processing">Density Based Smart Traffic Light Control System and Emergency Vehicle Detection Based On Image Processing</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="31493941" href="https://irjet.academia.edu/IRJET">IRJET Journal</a></div><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Density Based Smart Traffic Light Control System and Emergency Vehicle Detection Based On Image Processing","attachmentId":56822771,"attachmentType":"pdf","work_url":"https://www.academia.edu/36868336/Density_Based_Smart_Traffic_Light_Control_System_and_Emergency_Vehicle_Detection_Based_On_Image_Processing","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/36868336/Density_Based_Smart_Traffic_Light_Control_System_and_Emergency_Vehicle_Detection_Based_On_Image_Processing"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="1" data-entity-id="89781870" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/89781870/Traffic_Congestion_Monitoring_Using_Smart_Traffic_Control_Approach_for_Emergency_Vehicle">Traffic Congestion Monitoring Using Smart Traffic Control Approach for Emergency Vehicle</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="6079060" href="https://independent.academia.edu/IJRASETPublication">IJRASET Publication</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2022</p><p class="ds-related-work--abstract ds2-5-body-sm">The efficiency and robustness increased after using embedded technology for monitoring and control applications. Due to traffic load, intensity can get stuck or they are delayed in reaching their destination. The system describes an intelligent and complex application that helps to clear traffic and to improve security while having fast response of the emergency services. By making use of embedded and wireless communication we can develop an application to clear the traffic while coming in the path. There is a system called as "Intelligent traffic light controller". Where traffic light intelligently decides based on the total traffic on all adjacent roads. This paper presents the current framework of decision support systems for traffic management based on short and medium term predictions and includes some reflections on their likely evolution, based on current scientific research and the evolution of the availability of new types of data and their associated methodologies. When unexpected and unplanned events such as natural disasters, traffic accidents or even terrorist attacks happen, it is necessary to prepare a quick evacuation process and the provisioning of the quickest access routes for emergency services units. • Accidental situations, emergency situations with related to the health or life of any person is considered as the most important thing to deal with. • But the problem that is faced is at the early stage that is taking the patient to the hospitals. • Especially during this pandemic time, where the time factor is very important, here if the patient is not taken to hospital within the time then there is chances of life risk. • So in this project we aim to solve this problem by installing a sensor on each road near the traffic signal so if the ambulance is coming, then that path will have green signal and other all turns out to be red.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Traffic Congestion Monitoring Using Smart Traffic Control Approach for Emergency Vehicle","attachmentId":93528160,"attachmentType":"pdf","work_url":"https://www.academia.edu/89781870/Traffic_Congestion_Monitoring_Using_Smart_Traffic_Control_Approach_for_Emergency_Vehicle","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/89781870/Traffic_Congestion_Monitoring_Using_Smart_Traffic_Control_Approach_for_Emergency_Vehicle"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="2" data-entity-id="74130680" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/74130680/Intelligent_Traffic_Control_System_For_Emergency_Vehicle">Intelligent Traffic Control System For Emergency Vehicle</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="26894332" href="https://independent.academia.edu/amadankar">abhishek madankar</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Engineering and Technology</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Intelligent Traffic Control System For Emergency Vehicle","attachmentId":82392968,"attachmentType":"pdf","work_url":"https://www.academia.edu/74130680/Intelligent_Traffic_Control_System_For_Emergency_Vehicle","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/74130680/Intelligent_Traffic_Control_System_For_Emergency_Vehicle"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="3" data-entity-id="73705542" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/73705542/Smart_traffic_control_with_ambulance_detection">Smart traffic control with ambulance detection</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="50544886" href="https://independent.academia.edu/SrinivasanVarsha">Varsha Srinivasan</a></div><p class="ds-related-work--metadata ds2-5-body-xs">2018</p><p class="ds-related-work--abstract ds2-5-body-sm">The problem of urban traffic congestion is constantly spreading. The increase in traffic is due to the growing number of vehicles and the limited expansion of roads. We propose a system for reducing traffic congestion using image processing by detecting blobs and tracking them. The system will detect vehicles through images instead of using electronic sensors embedded in the pavement. We also plan to provide a suitable solution for emergency vehicles stuck in traffic to clear the route by using Bluetooth, thus assuring timely help to those in need.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Smart traffic control with ambulance detection","attachmentId":82122217,"attachmentType":"pdf","work_url":"https://www.academia.edu/73705542/Smart_traffic_control_with_ambulance_detection","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/73705542/Smart_traffic_control_with_ambulance_detection"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="4" data-entity-id="44915491" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/44915491/Smart_Traffic_Control_System_by_Using_Image_Processing">Smart Traffic Control System by Using Image Processing</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="2594470" href="https://independent.academia.edu/iosrjournals">IOSR Journals</a></div><p class="ds-related-work--abstract ds2-5-body-sm">The reality is that, the population of every city along with numbers of vehicles on roads are increasing rapidly. With increasing urban population and hence the number of vehicles, the need of controlling streets, highways with small roads is major issue. The main reason for increasing trafficproblem is the techniques that are used for traffic management. The traffic management system used in todays has no emphasis on live traffic scenario, which leads to inefficient traffic management systems. This project has beenimplemented by using Matlabsoftware and it aims to prevent heavy traffic congestion. For implementing this project, we have used Image processing technique. Firstly, the film of lane is captured by a camera. A web camera is placed in a traffic lane which will capture the images of road on which we want to control traffic. Then these images are processed to know the traffic density. According to the processed data from mat lab, the controller will send command to the traffic LEDs to show particular time on the signal to manage traffic.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Smart Traffic Control System by Using Image Processing","attachmentId":65438329,"attachmentType":"pdf","work_url":"https://www.academia.edu/44915491/Smart_Traffic_Control_System_by_Using_Image_Processing","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/44915491/Smart_Traffic_Control_System_by_Using_Image_Processing"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="5" data-entity-id="113076551" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/113076551/Real_time_Road_Traffic_Light_Signalling_Using_Image_Processing_With_Emergency_Vehicle_Detection_and_Traffic_Signal_Violation_Detection">Real time Road Traffic Light Signalling Using Image Processing With Emergency Vehicle Detection and Traffic Signal Violation Detection</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="109830763" href="https://nitpatna.academia.edu/SreemanaDatta">Sreemana Datta</a></div><p class="ds-related-work--metadata ds2-5-body-xs">2013</p><p class="ds-related-work--abstract ds2-5-body-sm">As the problem of traffic congestion increases, an optimal method to control traffic signalling has become important. We propose a system where traffic signalling is done based on the density of traffic on a particular lane. For a particular lane, a camera will be installed alongside the traffic lights. Live video feed from these cameras will be broken down into image frames to determine congestion level in each lane. An array of image processing techniques will be implemented on each image frame to determine the traffic density in each lane. After the video is acquired and broken down into image frames, the image is converted from RGB to a grayscale image. Following that, power law transformation is applied as an enhancement technique. Canny edge detection is performed on the enhanced image and finally a window based image matching technique is applied to determine the congestion level of a particular lane. This is done for all the lanes and correspondingly the duration and order o...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Real time Road Traffic Light Signalling Using Image Processing With Emergency Vehicle Detection and Traffic Signal Violation Detection","attachmentId":110133076,"attachmentType":"pdf","work_url":"https://www.academia.edu/113076551/Real_time_Road_Traffic_Light_Signalling_Using_Image_Processing_With_Emergency_Vehicle_Detection_and_Traffic_Signal_Violation_Detection","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/113076551/Real_time_Road_Traffic_Light_Signalling_Using_Image_Processing_With_Emergency_Vehicle_Detection_and_Traffic_Signal_Violation_Detection"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="6" data-entity-id="81857271" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/81857271/Implementing_Intelligent_Traffic_Control_System_for_Congestion_Control_and_Stolen_Vehicle_Detection">Implementing Intelligent Traffic Control System for Congestion Control and Stolen Vehicle Detection</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="50119404" href="https://independent.academia.edu/RautRoshani">Roshani Raut</a></div><p class="ds-related-work--metadata ds2-5-body-xs">2017</p><p class="ds-related-work--abstract ds2-5-body-sm">Traffic Recognition is utilized to control traffic signs, caution a driver, and charge or preclude certain activities. A real time and hearty programmed movement sign identification and acknowledgment can bolster and disburden the driver and altogether increment driving wellbeing and solace. Driving is the procedure which incorporates visual data processing. The driver needs a considerable measure of movement observing keeping in mind the end goal to achieve mishap free driving. Street signs convey much data important for the activity observing, they happen in institutionalized positions in movement scenes, shapes, hues and pictograms. They depict circumstances, characterize right-of-way, restrict or allow certain headings, caution about unsafe variables and so forth, limits speeds in risky conditions, and so on. In this project we perceive vehicle, rescue vehicle by utilizing RFID technology. At the point when ambulance vehicle is there we give green flag so rescue vehicle can with...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Implementing Intelligent Traffic Control System for Congestion Control and Stolen Vehicle Detection","attachmentId":87755268,"attachmentType":"pdf","work_url":"https://www.academia.edu/81857271/Implementing_Intelligent_Traffic_Control_System_for_Congestion_Control_and_Stolen_Vehicle_Detection","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/81857271/Implementing_Intelligent_Traffic_Control_System_for_Congestion_Control_and_Stolen_Vehicle_Detection"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="7" data-entity-id="12329549" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/12329549/Application_of_Image_Processing_In_Road_Traffic_Control">Application of Image Processing In Road Traffic Control</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="17764044" href="https://independent.academia.edu/ijartet">IJARTET Journal</a></div><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Application of Image Processing In Road Traffic Control","attachmentId":37600221,"attachmentType":"pdf","work_url":"https://www.academia.edu/12329549/Application_of_Image_Processing_In_Road_Traffic_Control","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/12329549/Application_of_Image_Processing_In_Road_Traffic_Control"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="8" data-entity-id="98231214" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/98231214/Intelligent_Transportation_System_by_Controlling_Traffic_using_Video_Processing_in_Mat_Lab">Intelligent Transportation System by Controlling Traffic using Video Processing in Mat Lab</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="251099254" href="https://independent.academia.edu/Civilengineeringstudents">Civil engineering students</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Recent Technology and Engineering (IJRTE), 2019</p><p class="ds-related-work--abstract ds2-5-body-sm">Laptop vision techniques square measure used for analysis of traffic police investigation videos that is gaining a lot of importance. This analysis of videos is helpful for public safety and for traffic management. In recent time, there has been Associate in nursing exaggerated scope for analysis of traffic activity mechanically. Laptop based mostly police investigation algorithms and systems square measure won’t to extract info from the videos that is additionally known as as Video analytics. The method of distinguishing instances of planet objects is understood as object detection. It detects the quantity of vehicles on every road and betting on the vehicles load on every road, this technique assigns optimized quantity of waiting time (red signal light) and period (green signal light). This technique could be a totally machine-driven system that may replace the traditional pre-determined fixed-time based mostly traffic system with a dynamically managed traffic system.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Intelligent Transportation System by Controlling Traffic using Video Processing in Mat Lab","attachmentId":99639394,"attachmentType":"pdf","work_url":"https://www.academia.edu/98231214/Intelligent_Transportation_System_by_Controlling_Traffic_using_Video_Processing_in_Mat_Lab","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/98231214/Intelligent_Transportation_System_by_Controlling_Traffic_using_Video_Processing_in_Mat_Lab"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="9" data-entity-id="67215680" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/67215680/An_Intelligent_Traffic_Control_System">An Intelligent Traffic Control System</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="66604793" href="https://independent.academia.edu/AdeshinaSteve">Steve Adeshina</a></div><p class="ds-related-work--metadata ds2-5-body-xs">1999</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"An Intelligent Traffic Control System","attachmentId":78116141,"attachmentType":"pdf","work_url":"https://www.academia.edu/67215680/An_Intelligent_Traffic_Control_System","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/67215680/An_Intelligent_Traffic_Control_System"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div></div></div><div class="ds-sticky-ctas--wrapper js-loswp-sticky-ctas hidden"><div class="ds-sticky-ctas--grid-container"><div class="ds-sticky-ctas--container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--sticky-ctas","attachmentId":52429058,"attachmentType":"pdf","workUrl":null}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--sticky-ctas","attachmentId":52429058,"attachmentType":"pdf","workUrl":null}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div><div class="ds-below-fold--grid-container"><div class="ds-work--container js-loswp-embedded-document"><div class="attachment_preview" data-attachment="Attachment_52429058" style="display: none"><div class="js-scribd-document-container"><div class="scribd--document-loading js-scribd-document-loader" style="display: block;"><img alt="Loading..." src="//a.academia-assets.com/images/loaders/paper-load.gif" /><p>Loading Preview</p></div></div><div style="text-align: center;"><div class="scribd--no-preview-alert js-preview-unavailable"><p>Sorry, preview is currently unavailable. 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