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https://github.com/lalitdotdev/watchtowerai

An AI-powered web application leveraging Next.js 14 and TensorFlow.js for real-time object detection. Utilizing Tensorflow model for accurate detection, webcam integration for live video streams, and Media Recorder API for seamless recording.
https://github.com/lalitdotdev/watchtowerai

aceternity ai cocossd framer-motion machine-learning mediarecorder-api multimedia multimedia-systems nextjs14 object-detection persondetaction react-webcam shadcn-ui surveillance-systems tailwindcss tensorflow tensorflowjs-model typescript

Last synced: 22 days ago
JSON representation

Host: GitHub
URL: https://github.com/lalitdotdev/watchtowerai
Owner: lalitdotdev
Created: 2024-02-23T13:26:22.000Z (10 months ago)
Default Branch: main
Last Pushed: 2024-06-07T14:17:03.000Z (7 months ago)
Last Synced: 2024-08-11T10:03:16.892Z (4 months ago)
Topics: aceternity, ai, cocossd, framer-motion, machine-learning, mediarecorder-api, multimedia, multimedia-systems, nextjs14, object-detection, persondetaction, react-webcam, shadcn-ui, surveillance-systems, tailwindcss, tensorflow, tensorflowjs-model, typescript
Language: TypeScript
Homepage: https://watchtowerai.vercel.app
Size: 476 KB
Stars: 10
Watchers: 1
Forks: 1
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

# watchtowerai | ObjectDetection

![watchtowerai](https://socialify.git.ci/mrExplorist/watchtowerai/image?description=1&descriptionEditable=AI%20powered%20Next-14%20App%20Utilizing%20COCO-SSD%20model%20for%20accurate%20detection%2C%20webcam%20integration%20for%20live%20video%20streams%2C%20and%20Media%20Recorder.&font=Inter&language=1&logo=https%3A%2F%2Fimg.icons8.com%2Fexternal-vitaliy-gorbachev-blue-vitaly-gorbachev%2F60%2Fexternal-lighthouse-location-vitaliy-gorbachev-blue-vitaly-gorbachev.png&name=1&owner=1&pattern=Circuit%20Board&theme=Dark)

An AI-powered web application built with Next.js 14, offering advanced object detection capabilities, particularly focused on people detection. This application provides real-time monitoring and seamless recording features, enhancing security and surveillance efforts. Utilizing cutting-edge technology, it ensures efficient detection and tracking, all within a user-friendly interface for effortless management.

## Features

- **Real-time Monitoring:** Utilize the power of AI to monitor , process video , audio and detect objects in real-time, with a focus on people detection.
- **Seamless Recording:** Capture video recordings seamlessly, enhancing security and surveillance capabilities.
- **Efficient Detection:** Cutting-edge technology ensures efficient object detection and tracking for enhanced security measures.
- **User-Friendly Interface:** Enjoy a user-friendly interface designed for effortless management and operation.

## Installation

1. Clone the repository:

```bash
git clone https://github.com/yourusername/watchtowerai.git
```

2. Navigate to the project directory:

```bash
cd watchtowerai
```

3. Install dependencies:

```bash
npm install
```

4. Start the application:

```bash
npm start
```

## Usage

- Ensure the application is running locally or deployed to your preferred environment.
- Access the application via the provided URL and follow the on-screen instructions for real-time monitoring and recording.

## Contributing

We welcome contributions from the community to enhance and improve the project. To contribute, please follow these steps:

1. Fork the project.
2. Create a new branch (`git checkout -b feature/new-feature`).
3. Make your changes and commit them (`git commit -am 'Add new feature'`).
4. Push to the branch (`git push origin feature/new-feature`).
5. Open a pull request.