{"id":7266,"date":"2026-06-27T07:27:05","date_gmt":"2026-06-27T07:27:05","guid":{"rendered":"https:\/\/ijete.com\/?p=7266"},"modified":"2026-06-27T07:59:50","modified_gmt":"2026-06-27T07:59:50","slug":"ijetev1i1a003-android-hacking-and-exploitationusing-kali-linux-a-cyber-forensic-analysis-ofvulnerabiilties-and-mitigation-2","status":"publish","type":"post","link":"https:\/\/ijete.com\/index.php\/2026\/06\/27\/ijetev1i1a003-android-hacking-and-exploitationusing-kali-linux-a-cyber-forensic-analysis-ofvulnerabiilties-and-mitigation-2\/","title":{"rendered":"IJETEV1I1A005 &#8211;\u00a0REAL TIME DRIVE FATIGUE AND DETECTION RECOGNITION USING COMPUTER VISION\u00a0"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"7266\" class=\"elementor elementor-7266\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e6c0c50 e-con-full e-flex e-con e-child\" data-id=\"e6c0c50\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-3ea7ebf e-con-full e-flex e-con e-child\" data-id=\"3ea7ebf\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-392145c elementor-widget elementor-widget-heading\" data-id=\"392145c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\"><span style=\"letter-spacing: 0px\">IJETEV1I1A005 - <\/span><span style=\"letter-spacing: 0px\">REAL TIME DRIVE FATIGUE AND DETECTION RECOGNITION USING COMPUTER VISION <\/span><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d03feba e-con-full e-flex e-con e-child\" data-id=\"d03feba\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4552d35 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"4552d35\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong><span style=\"color: #b20909;\">AUTHORS<\/span> :<\/strong> Vishvanath Sundharam G, Muthusamy P, Sam Sundar N, Hari Haran N, Selvanesan M<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e9ac1d9 elementor-widget elementor-widget-text-editor\" data-id=\"e9ac1d9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #b20909;\"><strong>ABSTRACT<\/strong><\/span> &#8211; Driver drowsiness and distraction are among the leading causes of road accidents worldwide, necessitating the development of intelligent, real-time monitoring systems to enhance driving safety. This paper presents a non-intrusive Driver Monitoring System (DMS) based on computer vision and deep learning techniques for the detection of driver fatigue and inattentive behavior. The proposed approach leverages a YOLO-powered object recognition framework to identify critical facial regions such as the eyes, mouth, and head orientation from live in-vehicle camera feeds. Key behavioral metrics, including the Percentage of Eye Closure (PERCLOS) and Mouth Aspect Ratio (MAR), are computed to assess alertness levels. The system is designed to operate under varying lighting conditions and diverse driver profiles, providing timely audio or visual alerts upon detecting drowsiness or distraction.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-78b471e elementor-widget elementor-widget-button\" data-id=\"78b471e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"http:\/\/ijete.com\/wp-content\/uploads\/2026\/06\/IJETEV1I1A005.pdf\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">DOWNLOAD<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b4dc644 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"b4dc644\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>IJETEV1I1A005 &#8211; REAL TIME DRIVE FATIGUE AND DETECTION RECOGNITION USING COMPUTER VISION AUTHORS : Vishvanath Sundharam G, Muthusamy P, Sam Sundar N, Hari Haran N, Selvanesan M ABSTRACT &#8211; Driver drowsiness and distraction are among the leading causes of road accidents worldwide, necessitating the development of intelligent, real-time monitoring systems to enhance driving safety. This [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-7266","post","type-post","status-publish","format-standard","hentry","category-engineering"],"_links":{"self":[{"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/posts\/7266","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/comments?post=7266"}],"version-history":[{"count":4,"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/posts\/7266\/revisions"}],"predecessor-version":[{"id":7289,"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/posts\/7266\/revisions\/7289"}],"wp:attachment":[{"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/media?parent=7266"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/categories?post=7266"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/tags?post=7266"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}