Smart India Hackathon Project - Team Insight

Project Overview

Welcome to the README for our Smart India Hackathon project! Our project focuses on enhancing the security and efficiency of railway stations using CCTV surveillance. We have developed a comprehensive solution that leverages computer vision, machine learning, and web technologies to address four key areas:

1. Garbage Detection and Management: We have implemented a garbage detection system using CCTV cameras. This system identifies garbage and alerts station staff to take appropriate action, ensuring a clean and safe environment for passengers.

2. Crowd Management: Our system uses real-time analysis of CCTV footage to monitor crowd density and provide insights to station authorities. This helps in optimizing crowd control and ensuring passenger safety.

3. Work Monitoring: We offer a work monitoring solution that tracks the progress of maintenance and construction projects at the station. It provides real-time updates to project managers and allows for efficient resource allocation.

4. Crime Prevention: We've incorporated a crime prevention module that uses AI to detect and prevent criminal activities. It can alert security personnel in real-time and provide evidence for investigation.

Technology Stack

Our solution is built on a robust technology stack, including:

• Machine Learning Models:

  • YOLO (You Only Look Once)
  • MobileNet (Crime Detection)
  • Custom Trained Model (Cleanliness)
  • TensorFlow (Module Used for Training ML Model)

• User Interface:

  • Streamlit: We've developed a user-friendly web interface using Streamlit for easy access to the system's features.

• Image Processing:

  • OpenCV and Pillow: Used for image analysis, object detection, and tracking.

• Data Analysis:

  • Matplotlib: Used for plotting graphs.
  • Pandas and NumPy: Utilized for data manipulation.
  • SciPy: Used for statistical analysis.

• Collaborative Tools:

  • GitHub: Utilized for version control and collaboration.

TO-DO List

• Azure Machine Learning
• Docker
• MongoDB
• Flutter

This format provides a clear and structured overview of the technology stack you've used and your plans for future implementation.

Getting Started

To get started with our project, please follow these steps:

1. Clone the GitHub repository:

   git clone https://github.com/wreckage0907/Smart-India-Hackathon.git

2. Install the required dependencies listed in the requirements.txt file.

3. Launch the application using Streamlit by running:

   streamlit run website.py

Make sure you have the necessary permissions and credentials for accessing CCTV camera feeds.

Collaborators

We would like to express our gratitude to the following collaborators who have contributed to this project:

1. M Girish Raghav: Role - Project Lead
2. Pavithran M
3. Chandani Parachuri
4. Keshav M
5. Allen Joseph N
6. V R Rithika

We are excited to share our innovative solution with the Smart India Hackathon community and look forward to making our railway stations safer and more efficient. Thank you for your support!