{"id":27553723,"url":"https://github.com/divitmittal/driver-drowsiness-detection","last_synced_at":"2025-10-18T00:28:16.212Z","repository":{"id":265953339,"uuid":"896909866","full_name":"DivitMittal/Driver-Drowsiness-Detection","owner":"DivitMittal","description":"Real-time drowsiness detection on driver's face continuously for signs of fatigue using deep learning methodologies","archived":false,"fork":false,"pushed_at":"2025-04-18T01:36:43.000Z","size":1401,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-18T14:57:33.819Z","etag":null,"topics":["computer-vision","deep-learning","drowsiness-detection","siamese-neural-network"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DivitMittal.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-12-01T15:53:23.000Z","updated_at":"2025-04-18T01:36:46.000Z","dependencies_parsed_at":"2025-03-30T21:19:51.140Z","dependency_job_id":"ad47fe0e-1e1b-4db3-a717-f439d558febf","html_url":"https://github.com/DivitMittal/Driver-Drowsiness-Detection","commit_stats":null,"previous_names":["divitmittal/driver-drowsiness-detection"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DivitMittal%2FDriver-Drowsiness-Detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DivitMittal%2FDriver-Drowsiness-Detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DivitMittal%2FDriver-Drowsiness-Detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DivitMittal%2FDriver-Drowsiness-Detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DivitMittal","download_url":"https://codeload.github.com/DivitMittal/Driver-Drowsiness-Detection/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249699407,"owners_count":21312391,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["computer-vision","deep-learning","drowsiness-detection","siamese-neural-network"],"created_at":"2025-04-19T12:53:21.330Z","updated_at":"2025-10-18T00:28:16.116Z","avatar_url":"https://github.com/DivitMittal.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align='center'\u003eDriver-Drowsiness-Detection\u003c/h1\u003e\n\n## Table of Contents\n\n- [Introduction](#introduction)\n- [Features](#features)\n- [Technologies Used](#technologies-used)\n\n## Introduction\n\nDriver drowsiness is a major contributor to road accidents. This **Driver Drowsiness Detection** system uses **Siamese Neural Networks** and computer vision techniques to monitor a driver's facial features in real-time and detect signs of fatigue. By analyzing eye states, head pose, and mouth movements (including yawning), the system identifies potential drowsiness and enhances road safety.\n\n## Features\n\n- **Real-Time Drowsiness Detection:** Monitors the driver's face continuously for signs of fatigue.\n- **Eye Aspect Ratio (EAR):** Utilizes EAR to determine prolonged eye closures, a common sign of drowsiness.\n- **Head Pose Estimation:** Detects abnormal head movements such as nodding or tilting.\n- **Mouth and Yawning Detection:** Analyzes mouth movements using computer vision techniques to identify yawning, another common fatigue indicator.\n- **Siamese Neural Networks:** All detection (eye, head pose, and yawning) is powered by a Siamese Neural Network, which allows the system to effectively compare facial features and detect signs of drowsiness.\n\n## Technologies Used\n\n- **Python 3.8+**\n- **Tensorflow \u0026 Keras (Siamese Neural Networks)** for feature comparison and detection.\n- **OpenCV** for real-time computer vision tasks.\n- **Dlib** for facial landmark detection.\n- **Imutils** for image processing utilities.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdivitmittal%2Fdriver-drowsiness-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdivitmittal%2Fdriver-drowsiness-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdivitmittal%2Fdriver-drowsiness-detection/lists"}