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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.

Home Page: https://watchtowerai.vercel.app

CSS 0.20% TypeScript 99.78% JavaScript 0.02%
ai cocossd machine-learning nextjs14 object-detection persondetaction tensorflow typescript shadcn-ui tailwindcss

watchtowerai's Introduction

watchtowerai | ObjectDetection

watchtowerai

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:
git clone https://github.com/yourusername/watchtowerai.git
  1. Navigate to the project directory:
cd watchtowerai
  1. Install dependencies:
npm install
  1. Start the application:
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.

watchtowerai's People

Contributors

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