{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/real-time-drowsiness-detection-rtd2","title":"REAL-TIME DROWSINESS DETECTION (RTD2)","arxiv_id":null,"date":"2021-09-04","proceeding":"HUST Journal 2021 9","authors":["Sri Krishna H V","Tarun Srinivas","Kedarnath R Gubbi","Vijay Kumar S"],"abstract":"In the present era, where the roads are filled with vehicles all the time, accidents are \r\nprone to happen. Studies show that over 50% of these road accidents in a year, are due to driver \r\ndrowsiness and fatigue. Many attempts have been made to develop a solution to this problem to \r\ndetect when the driver is drowsy, but everything has its own set of limitations. Our project aims to \r\nsolve this problem by detecting the drowsiness of the driver and sending an alert. We propose to use \r\nthe Dlib Library to detect the driver’s face, and a number of landmarks are plotted on the entire \r\nface of the driver. Using these landmarks, various calculations and comparisons take place to check \r\nwhether the drivers’ eyes are closed or open, and whether the driver is yawning or not. From this, \r\nthe system determines whether the driver is drowsy or not. If the driver is found to be drowsy, an \r\naudio and visual alert is triggered to alert the driver. With this project, we aim to help society \r\nby reducing road accidents, and saving lives and property.","url_abs":"https://app.box.com/s/mybxpo9a1pm15wsxe97qnt6djjrso8gs","url_pdf":"https://app.box.com/s/mybxpo9a1pm15wsxe97qnt6djjrso8gs","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"real-time-drowsiness-detection-rtd2","repo_url":"https://github.com/FalcoN046/Real-Time-Drowsiness-Detection-RTD2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}