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FaceFinder: Unmasking Hidden Faces - Face Detection with Streamlit

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₹4,999.00

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  ₹4,999.00

Detail Description

Abstract

FaceFinder is a computer vision application that detects human faces in images and live video streams using deep learning and OpenCV. Built with Streamlit for an interactive interface, the system enables real-time face detection for security, attendance systems, and surveillance applications.


Existing System

  1. Manual monitoring through CCTV
  2. Traditional image processing methods (Haar Cascades)


Proposed System

  1. Deep learning-based face detection
  2. Real-time detection using webcam
  3. Streamlit interface for user interaction


Software Requirements

  1. Python
  2. OpenCV
  3. TensorFlow / Dlib / Mediapipe
  4. Streamlit
  5. NumPy, Pandas
  6. Jupyter Notebook / VS Code


Hardware Requirements

Minimum:

  1. Intel i3, 4GB RAM, Webcam

Recommended:

  1. Intel i5/i7, 8GB+ RAM, HD Webcam, GPU (optional)





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FaceFinder: Unmasking Hidden Faces - Face Detection with Streamlit
₹4,999.00 ₹0.00
₹4,999.00
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