{"id":26451080,"url":"https://github.com/parth1899/auto-blackbox-3d","last_synced_at":"2025-10-07T18:02:07.751Z","repository":{"id":240435949,"uuid":"802620239","full_name":"parth1899/Auto-BlackBox-3D","owner":"parth1899","description":null,"archived":false,"fork":false,"pushed_at":"2024-08-06T04:16:02.000Z","size":1541,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-08-06T06:51:06.589Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://auto-black-box-3-d.vercel.app","language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/parth1899.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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}},"created_at":"2024-05-18T19:53:58.000Z","updated_at":"2024-08-06T04:16:06.000Z","dependencies_parsed_at":"2024-05-28T15:48:47.372Z","dependency_job_id":"a1112e67-1fd5-44f7-b667-57dc3b63dcf0","html_url":"https://github.com/parth1899/Auto-BlackBox-3D","commit_stats":null,"previous_names":["parth1899/auto-blackbox-3d"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parth1899%2FAuto-BlackBox-3D","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parth1899%2FAuto-BlackBox-3D/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parth1899%2FAuto-BlackBox-3D/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parth1899%2FAuto-BlackBox-3D/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/parth1899","download_url":"https://codeload.github.com/parth1899/Auto-BlackBox-3D/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244259966,"owners_count":20424648,"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":[],"created_at":"2025-03-18T16:31:36.262Z","updated_at":"2025-10-07T18:02:02.700Z","avatar_url":"https://github.com/parth1899.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Auto-BlackBox-3D\n\n## Employing Black Box Mechanism for Investigation and Analysis of Road Accidents\n\n## Overview\nThis project presents a novel system for accident analysis using advanced sensor technology. The system gathers real-time acceleration, gyroscope, and GPS data to create detailed 3D models of vehicle orientation during accidents. By employing machine learning techniques and data visualization tools, the system enhances post-accident analysis and provides valuable feedback for improving vehicle design and safety.\n\n## Features\n- **Data Collection**: Utilizes MPU6050 and GPS sensors to gather acceleration, gyroscope, and location data.\n- **Anomaly Detection**: Employs autoencoders to detect anomalies in acceleration values.\n- **3D Modeling**: Uses Three.js to create real-time 3D models of vehicle orientation.\n- **Data Visualization**: Implements Plotly.js for comprehensive data visualization.\n- **Location Tracking**: Integrates OpenStreetMap API for live GPS tracking.\n\n## System Architecture\n![System Architecture](images/system-architecture.png)\n\n## Methodology\n1. **Data Collection**: Sensors capture acceleration, gyroscope, and GPS data.\n2. **Data Processing**: NodeMCU processes and transmits data to the cloud.\n3. **3D Modeling**: Three.js visualizes vehicle orientation in 3D.\n4. **Anomaly Detection**: Autoencoders identify anomalies in the data.\n5. **Data Visualization**: Plotly.js generates graphs for data analysis.\n\n## Results\n- **3D Model Rendering**: Real-time visualization of vehicle orientation during accidents.\n- **Anomaly Detection**: Identified 581 anomalies with a 94.99% accuracy rate.\n- **Data Visualization**: Comprehensive graphs showing acceleration and gyroscope data.\n\n### Homepage of Flask Application\n![Homepage of Flask Application](images/homepage.png)\n\n### Hardware Connections\n![Hardware Connections](images/hardware.png)\n\n### Viewing 3D Model\n![Viewing 3D Model](images/view-3D-Model.png)\n\n### Anomalies\n![Anomalies](images/anomalies.png)\n\n### PCA Projection of Sensor Readings\n![PCA Projection of Sensor Readings](images/pca.png)\n\n### Tracking Live Location\n![Tracking Live Location](images/tracking.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fparth1899%2Fauto-blackbox-3d","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fparth1899%2Fauto-blackbox-3d","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fparth1899%2Fauto-blackbox-3d/lists"}