The AI-Enhanced Surveillance System is a sophisticated solution designed to streamline surveillance operations through the application of facial recognition technology. By integrating advanced AI capabilities, this system automates the process of identifying individuals within a live camera feed, enhancing security and efficiency in surveillance activities.
The core of this project relies on artificial intelligence techniques and Python programming. While Python serves as the primary language for implementation, the architecture remains adaptable to incorporate alternative technologies should they better align with the project's objectives and requirements.
To initiate utilization of the AI-Enhanced Surveillance System, follow these systematic steps:
- Begin by cloning the repository onto your local machine.
- Proceed to install all necessary dependencies as meticulously outlined within the project documentation:
python -m venv venv
.\venv\Scripts\activate
pip install -r requirements.txt
- Replace the MongoClient configuration with the specifications of your local database setup.
- Execute the application and access the Input Page to commence system operation.
python app.py
