{"id":26991583,"url":"https://github.com/surajsanap/indshield_intro","last_synced_at":"2026-05-04T10:33:38.619Z","repository":{"id":285946328,"uuid":"959855508","full_name":"SurajSanap/IndShield_Intro","owner":"SurajSanap","description":"Coming Soon","archived":false,"fork":false,"pushed_at":"2025-04-06T17:39:07.000Z","size":15,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-09T16:49:18.328Z","etag":null,"topics":["ai","googlegemini","opencv","python","pytorch","tensorflow","yolov8"],"latest_commit_sha":null,"homepage":"","language":null,"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/SurajSanap.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":"2025-04-03T13:13:32.000Z","updated_at":"2025-04-06T17:39:11.000Z","dependencies_parsed_at":"2025-04-09T16:21:17.529Z","dependency_job_id":null,"html_url":"https://github.com/SurajSanap/IndShield_Intro","commit_stats":null,"previous_names":["surajsanap/indshield_intro"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/SurajSanap/IndShield_Intro","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SurajSanap%2FIndShield_Intro","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SurajSanap%2FIndShield_Intro/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SurajSanap%2FIndShield_Intro/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SurajSanap%2FIndShield_Intro/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SurajSanap","download_url":"https://codeload.github.com/SurajSanap/IndShield_Intro/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SurajSanap%2FIndShield_Intro/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263132061,"owners_count":23418609,"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":["ai","googlegemini","opencv","python","pytorch","tensorflow","yolov8"],"created_at":"2025-04-03T22:16:13.940Z","updated_at":"2026-05-04T10:33:38.567Z","avatar_url":"https://github.com/SurajSanap.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://github.com/user-attachments/assets/714f3a9e-3e2a-406b-97ff-68c6aa58a074\" alt=\"Logo College\" width=\"150\"\u003e\n\u003c/p\u003e\n\n# IndShield: A Cutting-Edge Web App for Enhanced Industrial Safety\n\n**IndShield** is a web application designed to revolutionize industrial safety protocols by leveraging advanced technologies. It empowers organizations to create a safer and more secure work environment for personnel and equipment.\n\n![ezgif-638136755bebd2](https://github.com/user-attachments/assets/d09d7d70-77b0-4f55-8ce5-d7a40ed8ad7b)\n\n\n**Key Features:**\n\n* **Motion Amplification:** Identifies subtle equipment movements often invisible to the naked eye, enabling proactive maintenance and preventing unexpected breakdowns.\n* **Emergency Alert System:** Allows individuals to signal for help by making a specific gesture (L pose) in front of a camera, ensuring prompt assistance in emergency situations.\n* **Restricted Zone Enforcement:** Utilizes live CCTV feeds and object detection to identify unauthorized access to restricted areas, facilitating timely intervention and enforcing safety protocols.\n* **Fire and Safety Gear Detection:** Employs machine learning algorithms to identify safety gear worn by personnel and detect potential fire risks in real-time, upholding the highest standards of safety and compliance.\n\n![IndSieldArc drawio](https://github.com/user-attachments/assets/8c1e781b-ecaa-4fec-ade4-9706bfcc849a)\n\n\n**Benefits:**\n\n* **Early detection of potential issues** minimizes downtime and prevents costly emergency repairs.\n* **Enhanced maintenance** allows for targeted repairs and optimization of equipment performance.\n* **Reduced risk of accidents and injuries** by ensuring adherence to safety protocols.\n* **Improved response times** to emergencies through the use of the alert system.\n\n## File Structure\n\n* **`_pycache_`:** This folder is automatically generated by Python and stores compiled bytecode for faster program execution. You don't need to modify its contents. \n* **`app.py`:** This is the core Python script containing the application logic. It defines routes, handles user interactions, and interacts with other components.\n* **`instance`:** This folder is typically used for storing runtime data or configuration specific to a particular instance of the application. \n* **`models`:** This folder contains yolov8 models for detection.\n* **`requirements.txt`:** This text file lists the external Python libraries required for the application to run. Dependencies like Flask, SQLAlchemy, OpenCV, and YOLOv8 are likely specified here. \n* **`static`:** This folder stores static assets used by the application, such as images, CSS stylesheets, and JavaScript code. These files are typically served directly by the web server without involving server-side processing.\n* **`templates`:** This folder contains HTML templates used to dynamically generate web pages. The application likely uses a templating engine like Jinja2 to render these templates with data retrieved from the database or user input.\n\n## Working\n\n* **Backend:** Flask, a lightweight web framework in Python, is likely used to handle user requests, interact with the database, and manage application logic.\n* **Database:** SQLAlchemy, an object-relational mapper (ORM), simplifies interaction with the database by providing an object-oriented interface.\n* **Machine Learning:** YOLOv8, a real-time object detection model, is likely employed for features like restricted zone enforcement, fire detection, and potentially gear detection.\n* **MediaPipe:** This open-source framework might be used for pose estimation in the emergency alert system.\n* **OpenCV:** This open-source computer vision library is likely used for image and video processing tasks like frame capturing, object detection bounding boxes, and motion amplification.\n\nRunning the application typically involves:\npython  -m venv .env\n.env/Scripts/activate\n1. Installing required dependencies using `pip install -r requirements.txt`.\n2. Setting up the database (likely SQLite in this case) and creating the necessary tables as defined by the models.\n3. Running the application using `python app.py`.\n\nOnce running, users can access the web interface and leverage the provided functionalities to enhance industrial safety.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsurajsanap%2Findshield_intro","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsurajsanap%2Findshield_intro","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsurajsanap%2Findshield_intro/lists"}