{"id":912,"date":"2020-04-22T00:14:27","date_gmt":"2020-04-22T00:14:27","guid":{"rendered":"http:\/\/sites.rutgers.edu\/nb-senior-exhibits\/?page_id=912"},"modified":"2020-04-24T20:22:06","modified_gmt":"2020-04-24T20:22:06","slug":"tran-albert-artificial-intelligence-aided-railroad-trespassing-data-analytics-methodology-and-a-case-study","status":"publish","type":"page","link":"https:\/\/sites.rutgers.edu\/nb-senior-exhibits\/partners\/aresty-research-virtual-symposium-2020\/tran-albert-artificial-intelligence-aided-railroad-trespassing-data-analytics-methodology-and-a-case-study\/","title":{"rendered":"Tran, Albert: Artificial Intelligence-Aided Railroad Trespassing Data Analytics: Methodology and A Case Study"},"content":{"rendered":"

View video presentation<\/a>\"\"<\/a><\/p>\n

Title:<\/strong>\u00a0 Artificial Intelligence-Aided Railroad Trespassing Data Analytics: Methodology and A Case Study<\/p>\n

Name:\u00a0\u00a0<\/strong>Albert Tran<\/p>\n

Major:\u00a0\u00a0<\/strong>Electrical and Computer Engineering<\/p>\n

School affiliation:\u00a0\u00a0<\/strong>School of Engineering<\/p>\n

Programs:\u00a0\u00a0<\/strong>Aresty – RA Program<\/p>\n

Other<\/strong> contributors:\u00a0 \u00a0<\/strong> Zhipeng Zhang, Jinxuan Xu, and Xiang Lu<\/p>\n

Abstract:\u00a0 <\/strong>Using video data and artificial intelligence, real time detection of railroad trespassing can be obtained. Of all the
\nrail-related fatalities, trespassing is one of the top causes and little progress has been done to stop the prevention of
\nsuch accidents. While there are many surveillance cameras to witness such accidents, the cost of employing people to
\ncontinuously monitor the video still introduces drawbacks.\u00a0 However, using the real time video from the cameras and
\ncomputer vision, algorithms can take the role of detecting trespassing at the railways, eliminating the need of human
\nmonitoring.\u00a0 A computer vision algorithm, You-Only-Look-Once (YOLO),\u00a0 that can detect objects in real time, is used to create a framework that the railroad industry can use to change the infrastructure of the locations where trespassing occurs in
\norder to safeguard from accidents. From that datagenerated from this framework, data such as: the time of
\nday, weather, type of trespassing, and location on railway of trespassing can be outputted on detection and stored in a
\ndatabase for easy processing.<\/p>\n","protected":false},"excerpt":{"rendered":"

View video presentation Title:\u00a0 Artificial Intelligence-Aided Railroad Trespassing Data Analytics: Methodology and A Case Study Name:\u00a0\u00a0Albert Tran Major:\u00a0\u00a0Electrical and Computer Engineering School affiliation:\u00a0\u00a0School of Engineering Programs:\u00a0\u00a0Aresty – RA Program Other … Read More<\/a><\/p>\n","protected":false},"author":970,"featured_media":0,"parent":441,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-custom.php","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-912","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nTran, Albert: Artificial Intelligence-Aided Railroad Trespassing Data Analytics: Methodology and A Case Study - Senior Exhibits<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.rutgers.edu\/nb-senior-exhibits\/partners\/aresty-research-virtual-symposium-2020\/tran-albert-artificial-intelligence-aided-railroad-trespassing-data-analytics-methodology-and-a-case-study\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tran, Albert: Artificial Intelligence-Aided Railroad Trespassing Data Analytics: Methodology and A Case Study - 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