{"id":4544,"date":"2025-05-22T07:45:24","date_gmt":"2025-05-22T05:45:24","guid":{"rendered":"https:\/\/www.escience.ac.za\/?p=4544"},"modified":"2025-05-22T07:45:25","modified_gmt":"2025-05-22T05:45:25","slug":"automatic-pothole-detection","status":"publish","type":"post","link":"https:\/\/www.escience.ac.za\/index.php\/2025\/05\/22\/automatic-pothole-detection\/","title":{"rendered":"Automatic pothole detection"},"content":{"rendered":"<p><strong>Researcher<\/strong>: Vhahangwele Netshilonwe, Sol Plaatje University <br><strong>Supervisor<\/strong>: Dr. Michael Olusanya , Sol Plaatje University<\/p><p>This study investigates how machine learning can be used to detect road damage, specifically potholes, in images of roads. The study tests a particular machine learning model called the &#8220;one-class support vector<br>machine (OCSVM)&#8221; to determine if it can effectively identify road damage better than random chance. The objective is to enhance our capability to detect and address road damage problems.<\/p><div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"768\" src=\"https:\/\/www.escience.ac.za\/wp-content\/uploads\/2025\/05\/2187533334-Vhahangwele-Netshilonwe-41291_Vhahangwele_Netshilonwe_Research_Poster_NV_18079_1538513251-1024x768.jpg\" alt=\"\" class=\"wp-image-4545\" srcset=\"https:\/\/www.escience.ac.za\/wp-content\/uploads\/2025\/05\/2187533334-Vhahangwele-Netshilonwe-41291_Vhahangwele_Netshilonwe_Research_Poster_NV_18079_1538513251-1024x768.jpg 1024w, https:\/\/www.escience.ac.za\/wp-content\/uploads\/2025\/05\/2187533334-Vhahangwele-Netshilonwe-41291_Vhahangwele_Netshilonwe_Research_Poster_NV_18079_1538513251-300x225.jpg 300w, https:\/\/www.escience.ac.za\/wp-content\/uploads\/2025\/05\/2187533334-Vhahangwele-Netshilonwe-41291_Vhahangwele_Netshilonwe_Research_Poster_NV_18079_1538513251-768x576.jpg 768w, https:\/\/www.escience.ac.za\/wp-content\/uploads\/2025\/05\/2187533334-Vhahangwele-Netshilonwe-41291_Vhahangwele_Netshilonwe_Research_Poster_NV_18079_1538513251-1536x1152.jpg 1536w, https:\/\/www.escience.ac.za\/wp-content\/uploads\/2025\/05\/2187533334-Vhahangwele-Netshilonwe-41291_Vhahangwele_Netshilonwe_Research_Poster_NV_18079_1538513251-2048x1536.jpg 2048w, https:\/\/www.escience.ac.za\/wp-content\/uploads\/2025\/05\/2187533334-Vhahangwele-Netshilonwe-41291_Vhahangwele_Netshilonwe_Research_Poster_NV_18079_1538513251-600x450.jpg 600w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div><p>&nbsp;<\/p><p><\/p>","protected":false},"excerpt":{"rendered":"<p>Researcher: Vhahangwele Netshilonwe, Sol Plaatje University Supervisor: Dr. Michael Olusanya , Sol Plaatje University This study investigates how machine learning can be used to detect road damage, specifically potholes, in images of roads. The study tests a particular machine learning model called the &#8220;one-class support vectormachine (OCSVM)&#8221;<\/p>\n","protected":false},"author":3,"featured_media":4494,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-4544","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-capstone-projects"],"_links":{"self":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts\/4544","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/comments?post=4544"}],"version-history":[{"count":1,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts\/4544\/revisions"}],"predecessor-version":[{"id":4546,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts\/4544\/revisions\/4546"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/media\/4494"}],"wp:attachment":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/media?parent=4544"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/categories?post=4544"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/tags?post=4544"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}