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PixelSentinels

PixelSentinels is an AI-powered image forensic system designed to detect the source camera and verify image authenticity using advanced deep learning and signal processing techniques.

Problem Statement

With the rise of AI-generated and manipulated images, verifying the authenticity and origin of an image has become critical in digital forensics, cybersecurity, and media verification.

Proposed Solution

PixelSentinels combines:

  • Deep Learning (CNN / Vision Transformer)
  • PRNU-based sensor fingerprinting
  • Signal processing techniques

to identify the camera source and detect potential tampering.

Features

  • Camera Model Identification
  • PRNU (Sensor Noise) Analysis
  • Fast and Efficient Processing
  • Interactive UI (Streamlit)

Tech Stack

  • Python
  • PyTorch
  • NumPy / Pandas
  • Scikit-learn
  • Streamlit (Frontend UI)
  • OpenCV / PIL

About

AI-powered image forensic system for camera identification and authenticity verification using deep learning and PRNU analysis.

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