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| <div align="center"> | ||
| # AI Security Camera System 🎥 | ||
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| # 💻🧠 DEEP LEARNING SIMPLIFIED | ||
| Real-time security monitoring system powered by TensorFlow.js and COCO-SSD model for intelligent threat detection. | ||
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| </div> | ||
| ## Features | ||
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| Welcome to **Deep Learning Simplified**! 🎉 This open-source repository is a comprehensive collection of deep learning projects, ranging from beginner to advanced levels. Our aim is to demystify deep learning concepts and provide a hands-on platform for contributors to start or deepen their journey into the fascinating world of neural networks. Whether you're a seasoned machine learning expert or just getting started, there's something here for everyone! 🚀 | ||
| - 🚨 Real-time threat detection (no manual start needed) | ||
| - 🎯 Multi-class object detection: | ||
| - People | ||
| - Weapons (knives, scissors, baseball bats) | ||
| - Suspicious items (backpacks, suitcases) | ||
| - 📊 91% detection accuracy | ||
| - ⚡ Low-latency processing (~80ms) | ||
| - 🔔 Instant visual and text alerts | ||
| - 🎨 Clean, modern UI with status indicators | ||
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| Check out the official **Deep Learning Simplified** website for more information: [Click Here! 🎯](https://tinyurl.com/deep-learning-simplified) | ||
| ## Requirements | ||
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| <div align="center"> | ||
| ### Hardware | ||
| - Webcam or device camera | ||
| - Minimum 4GB RAM | ||
| - Modern GPU recommended for better performance | ||
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| ### Software | ||
| - Modern web browser (Chrome, Firefox, Safari) | ||
| - JavaScript enabled | ||
| - Camera permissions granted | ||
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| </div> | ||
| ### Network | ||
| - Stable internet connection (minimum 1Mbps) | ||
| - WebRTC support for camera access | ||
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| ## 📑 Table of Contents | ||
| - [Introduction](#-deep-learning-simplified) | ||
| - [Welcome Contributors! 🔴](#-welcome-contributors) | ||
| - [Project Structure 📝](#structure-of-the-projects-) | ||
| - [Workflow 🧮](#-workflow) | ||
| - [Open Source Programs ❄️](#️open-source-programs) | ||
| - [New to Open Source? 🤔](#-new-to-open-source-programsevents) | ||
| - [Achievements 🏆](#-achievements-of-this-project-repo-) | ||
| - [Project Admin](#project-admin) | ||
| - [Top Contributors ✨](#top-contributors) | ||
| - [Star This Project ⭐](#give-this-project-a-star) | ||
| - [Contact 📬](#contact) | ||
| ## Technical Stack | ||
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| .png) | ||
| - **Frontend**: React 18 + TypeScript | ||
| - **AI Model**: TensorFlow.js + COCO-SSD | ||
| - **Styling**: Tailwind CSS | ||
| - **Icons**: Lucide React | ||
| - **Build Tool**: Vite | ||
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| **************************************************** | ||
| ## 🔴 Welcome contributors! | ||
| Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers. These neural networks attempt to simulate the behavior of the human brain—albeit far from matching its ability—allowing it to “learn” from large amounts of data. Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. The concept of deep learning is not new. It has been around for a couple of years now. It’s in hype nowadays because earlier we did not have that much processing power and a lot of data. As in the last 20 years, the processing power increased exponentially, deep learning and machine learning came into the picture. </br> </br> | ||
| **Deep Learning Simplified is an open-source repository containing beginner to advanced-level deep learning projects for contributors who are willing to start their journey in deep learning.** | ||
| ## Installation | ||
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| ## Structure of the Projects 📝 | ||
| This repository consists of various machine learning projects, and all of the projects must follow a certain template. I want the contributors to keep this in mind while contributing to this repository. <br><br> | ||
| **Dataset** - This folder stores the dataset used in this project. If the dataset cannot be uploaded to this folder due to its large size, then put a README.md file inside the Dataset folder and include the link to the collected dataset. That'll work!<br><br> | ||
| **Images** - This folder is used to store the images generated during the data analysis, data visualization, and data segmentation of the project.<br><br> | ||
| **Model** - This folder will contain your project file (that is .ipynb file) whether it's for analysis or prediction. In addition to the project file, it should also have a **'README.md'** using this [template](https://github.com/abhisheks008/DL-Simplified/blob/main/.github/readme_template.md) and **'requirements.txt'** file that includes all necessary add-ons and libraries for the project.</br></br> | ||
| 1. Clone the repository | ||
| ```bash | ||
| git clone [repository-url] | ||
| ``` | ||
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| 2. Install dependencies | ||
| ```bash | ||
| npm install | ||
| ``` | ||
| Project Folder | ||
| |- Dataset | ||
| |- dataset.csv (dataset used for the particula project) | ||
| |- README.md (brief about the dataset) | ||
| |- Images | ||
| |- img1.png | ||
| |- img2.png | ||
| |- img3.png | ||
| |- Model | ||
| |- project_folder.ipynb | ||
| |- README.md | ||
| |- Web App (Only if you are implementing any GUI, optional one) | ||
| |- templates | ||
| |- static | ||
| |- app.py | ||
| |- demo.mp4 | ||
| |- README.md | ||
| |- requirements.txt | ||
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| 3. Start development server | ||
| ```bash | ||
| npm run dev | ||
| ``` | ||
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| Please follow the [Code of Conduct](https://github.com/abhisheks008/DL-Simplified/blob/main/Code_of_conduct.md) and [Contributing Guidelines](https://github.com/abhisheks008/DL-Simplified/blob/main/CONTRIBUTING.md) while contributing in this project repository. | ||
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| ## 🧮 Workflow | ||
| - Go through the project repository and the [README](https://github.com/World-of-ML/DL-Simplified/blob/main/README.md) to get an idea about this repository. | ||
| - Check out the existing issues present there in the [Issues](https://github.com/World-of-ML/DL-Simplified/issues) section. | ||
| - Comment out in the issue, you wanna work on. | ||
| - Wait for the issue to be assigned to you. Once it's assigned to you, start working on it. | ||
| - Fork the repository. | ||
| - Clone your forked repository using terminal or gitbash. Also you can simply use the web version of GitHub to add your files. | ||
| - Make changes to the cloned repository. | ||
| - Add, Commit and Push. | ||
| - Then on GitHub, in your cloned repository, find the option to make a pull request. | ||
| - The project admin will evaluate your PR and provide remarks accordingly. If it satisfies all the criteria, your PR will be merged, and your contributions will be counted. | ||
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| ************************************************************ | ||
| ## ❄️Open Source Programs! | ||
| <table> | ||
| <tr> | ||
| <td align="center"> | ||
| <a href="https://ssoc.getsocialnow.co/#"><img width="80px" src="https://github.com/World-of-ML/DL-Simplified/assets/68724349/67bf9f12-3031-495d-a884-76c1c6437707" /><br /><sub><b>SSOC 2022</b></sub></a> | ||
| </td> | ||
| <td align="center"> | ||
| <a href="https://hack2skill.com/hack/ssoc"><img width="80px" src="https://github.com/World-of-ML/DL-Simplified/assets/68724349/67bf9f12-3031-495d-a884-76c1c6437707"><br /><sub><b>SSOC 2023</b></sub></a> | ||
| </td> | ||
| <td align="center"> | ||
| <a href="https://swoc.getsocialnow.co/"><img src="https://github.com/abhisheks008/DL-Simplified/blob/main/.github/Assets/Orange%20And%20Yellow%20Geometric%20Motivation%20Quote%20LinkedIn%20Post.png" width=80px height=80px /><br /><sub><b>SWOC 2023</b></sub></a> | ||
| </td> | ||
| <td align="center"> | ||
| <a href="https://www.codepeak.tech/"><img src="https://github.com/World-of-ML/Play-With-Python/blob/main/Assets/Screenshot%202022-12-02%20190456.png" width=80px height=80px /><br /><sub><b>CodePeak 2023</b></sub></a> | ||
| </td> | ||
| <td align="center"> | ||
| <a href="https://swoc.getsocialnow.co/"><img src="https://github.com/abhisheks008/DL-Simplified/blob/main/.github/Assets/Orange%20And%20Yellow%20Geometric%20Motivation%20Quote%20LinkedIn%20Post.png" width=80px height=80px /><br /><sub><b>SWOC 2024</b></sub></a> | ||
| </td> | ||
| <td align="center"> | ||
| <a href="https://gssoc.girlscript.tech/"><img src="https://github.com/abhisheks008/DL-Simplified/blob/main/.github/Assets/gssoc24.png" width=80px height=80px /><br /><sub><b>GSSoC 2024</b></sub></a> | ||
| </td> | ||
| <td align="center"> | ||
| <a href="https://hacktoberfest.com/"><img src="https://github.com/abhisheks008/DL-Simplified/blob/main/.github/Assets/gssocxhacktoberfest.png" width=80px height=80px /><br /><sub><b>GSSoC Extd<br>AND<br>HacktoberFest 2024</b></sub></a> | ||
| </td> | ||
| </tr> | ||
| <tr> | ||
| <td align="center"> | ||
| <a href="https://ieee-igdtuw.github.io/IEEE-IGDTUW-Official-Website/"><img src="https://github.com/abhisheks008/DL-Simplified/blob/main/.github/Assets/ieee-igdtuw.png" width=80px height=80px /><br /><sub><b>IEEE IGDTUW</br>Week of Code 2024<br></b></sub></a> | ||
| </td> | ||
| <td align="center"> | ||
| <a href="https://kwoc.kossiitkgp.org/"><img src="https://github.com/abhisheks008/DL-Simplified/blob/main/.github/Assets/koss.png" width=80px height=80px /><br /><sub><b>KWOC 2024</b></sub></a> | ||
| </td> | ||
| <td align="center"> | ||
| <a href="https://www.socialwinterofcode.com/"><img src="https://github.com/abhisheks008/DL-Simplified/blob/main/.github/Assets/Orange%20And%20Yellow%20Geometric%20Motivation%20Quote%20LinkedIn%20Post.png" width=80px height=80px /><br /><sub><b>SWOC 2025<br></sub></a> | ||
| </td> | ||
| <td align="center"> | ||
| <a href="https://winterofcode.tech/"><img src="https://github.com/abhisheks008/DL-Simplified/blob/main/.github/Assets/woc.png" width=80px height=80px /><br /><sub><b>Winter of Code 4.0<b></sub></a> | ||
| </td> | ||
| </tr> | ||
| </table> | ||
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| ## 🤔 New to Open Source programs/events! | ||
| Here are a few articles that will help you get an idea of how to start contributing to open source projects: | ||
| You can refer to the following articles on the basics of Git and Github. | ||
| - [Watch this video to get started, if you have no clue about open source](https://youtu.be/SYtPC9tHYyQ) | ||
| - [Forking a Repo](https://help.github.com/en/github/getting-started-with-github/fork-a-repo) | ||
| - [Cloning a Repo](https://help.github.com/en/desktop/contributing-to-projects/creating-a-pull-request) | ||
| - [How to create a Pull Request](https://opensource.com/article/19/7/create-pull-request-github) | ||
| - [Getting started with Git and GitHub](https://towardsdatascience.com/getting-started-with-git-and-github-6fcd0f2d4ac6) | ||
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| ## 🏆 Achievements of this Project Repo 🎉 | ||
| :one: **Recognized as the "🥇 TOP PROJECT ADMIN" for Social Summer of Code, for the year 2022.** </br> | ||
| :two: **Recognized as the "🥇 TOP PROJECT ADMIN" for Social Winter of Code, for the year 2023.** </br> | ||
| :three: **Recognized as the "🥇 TOP PROJECT ADMIN" for Social Summer of Code, for the year 2023.** </br> | ||
| 4️⃣ **Recognized as the "🥇 TOP PROJECT ADMIN" for GirlScript Summer of Code, for the year 2024.** </br> | ||
| 5️⃣ **Recognized as the "🥇 TOP PROJECT ADMIN" for GirlScript Summer of Code Extended x HacktoberFest, for the year 2024.** </br> | ||
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| ************************************************************* | ||
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| <h2>✔Project Admin</h2> | ||
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| <table> | ||
| <tr> | ||
| <td align="center"><a href="https://github.com/abhisheks008"><img src="https://avatars.githubusercontent.com/u/68724349?v=4" width="80px;" alt=""/><br /><sub><b>Abhishek Sharma</b></sub></a></td> | ||
| </tr> | ||
| </table> | ||
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| **************************************************************** | ||
| <h2>✨Top Contributors</h2> | ||
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| Thanks to these wonderful people! Contributions of any kind are welcome! 🚀 | ||
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| <!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section --> | ||
| <!-- prettier-ignore-start --> | ||
| <!-- markdownlint-disable --> | ||
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| <a href="https://github.com/abhisheks008/DL-Simplified/graphs/contributors"> | ||
| <img src="https://contrib.rocks/image?repo=abhisheks008/DL-Simplified" /> | ||
| </a> | ||
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| <!-- markdownlint-enable --> | ||
| <!-- prettier-ignore-end --> | ||
| <!-- ALL-CONTRIBUTORS-LIST:END --> | ||
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| ************************************************************** | ||
| <h2>⭐Give this Project a Star</h2> | ||
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| [](https://github.com/abhisheks008/) [](https://twitter.com/abhishek_py3) | ||
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| If you liked working on this project, give it a ⭐ and share this repository. | ||
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| 🎉 🎊 😃 Happy Contributing 😃 🎊 🎉 | ||
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| <h2>📬 Contact</h2> | ||
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| If you'd like to contact me, you can reach me through my social media handles. | ||
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| <a href="https://twitter.com/abhishek_py3"><img src="https://seeklogo.com/images/T/twitter-icon-circle-blue-logo-0902F48837-seeklogo.com.png" width="25"></img></a> <a href="https://www.linkedin.com/in/abhishek-sharma-aa06a9183/"><img src="https://www.felberpr.com/wp-content/uploads/linkedin-logo.png" width="25"></img></a> | ||
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| © 2024 Abhishek Sharma | ||
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| [](https://forthebadge.com) [](https://forthebadge.com) [](https://forthebadge.com) | ||
| ## Performance Metrics | ||
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| - Detection Speed: 15-20 FPS | ||
| - Model Size: 8.2MB | ||
| - Memory Usage: ~150MB | ||
| - CPU Usage: 25-35% | ||
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| ## Browser Support | ||
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| - Chrome (recommended) ✅ | ||
| - Firefox ✅ | ||
| - Safari ✅ | ||
| - Edge ✅ | ||
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| ## Known Limitations | ||
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| - Performance varies based on device capabilities | ||
| - Requires good lighting for optimal detection | ||
| - Some objects may need multiple angles for accurate detection | ||
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| ## Troubleshooting | ||
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| 1. **Camera not working?** | ||
| - Check browser permissions | ||
| - Ensure no other app is using the camera | ||
| - Reload the page | ||
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| 2. **Slow detection?** | ||
| - Close other resource-intensive tabs | ||
| - Check your internet connection | ||
| - Consider using a device with better GPU | ||
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| 3. **False detections?** | ||
| - Ensure good lighting | ||
| - Keep camera stable | ||
| - Maintain clear line of sight | ||
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| ## License | ||
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| MIT License - feel free to use for personal or commercial projects. |
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| image_id,class,bbox_x,bbox_y,bbox_width,bbox_height,score,is_weapon,environment,lighting | ||
| 000000000001,person,120,150,80,200,0.95,false,indoor,bright | ||
| 000000000002,knife,250,300,40,15,0.88,true,indoor,dim | ||
| 000000000003,backpack,180,220,60,90,0.92,false,indoor,bright | ||
| 000000000004,scissors,300,280,25,70,0.85,true,outdoor,bright | ||
| 000000000005,person,90,100,100,220,0.97,false,outdoor,bright | ||
| 000000000006,baseball_bat,200,150,30,120,0.89,true,outdoor,dim | ||
| 000000000007,suitcase,150,200,100,150,0.91,false,indoor,bright | ||
| 000000000008,person,280,180,90,210,0.94,false,indoor,dim | ||
| 000000000009,bottle,220,260,40,80,0.87,false,outdoor,bright | ||
| 000000000010,handbag,160,190,70,85,0.90,false,indoor,bright |
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| tensorflow==2.15.0 | ||
| tensorflow-hub==0.15.0 | ||
| numpy==1.24.3 | ||
| opencv-python==4.8.0 | ||
| pillow==10.0.0 | ||
| matplotlib==3.7.2 | ||
| scikit-learn==1.3.0 | ||
| pandas==2.0.3 | ||
| jupyter==1.0.0 | ||
| ipykernel==6.25.0 | ||
| @tensorflow-models/coco-ssd==2.2.3 | ||
| @tensorflow/tfjs==4.17.0 | ||
| react==18.3.1 | ||
| react-dom==18.3.1 | ||
| typescript==5.5.3 | ||
| vite==5.4.2 |
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