Crypto Eye is a Python-based facial recognition security application designed to protect your workspace privacy in real time. If an unauthorized person is detected viewing the screen while the admin is working, the app instantly locks the screen and displays a security alert message.
- Real-time detection of unauthorized access: Continuously monitors your screen environment and instantly identifies unfamiliar faces.
- Automatic prevention of data breaches: Locks the screen immediately when an intruder is detected, ensuring sensitive information stays secure.
- Instant alerts for admins: Notifies the user in real time about potential security breaches, allowing immediate action.
- Comprehensive alert logging: Maintains logs of all unauthorized access attempts for audits and security analysis.
- Proactive security approach: Shifts from reactive security to active problem-solving, reducing the risk of accidental or intentional data exposure.
- Real-time facial recognition using your webcam
- Instant screen lock when unauthorized access is detected
- Security alert notifications to keep the admin informed
- Lightweight & user-friendly interface
- Languages & Frameworks: Python, Flask, PyQt5
- Libraries & Tools: OpenCV (
cv2),face-recognition,osmodule - Functionality: Real-time monitoring, facial recognition, automatic screen locking
Security Alert Message
Alert Log Overview
Unauthorized Person Detected #1
Unauthorized Person Detected #2
- Clone the repository:
git clone https://github.com/yourusername/crypto-eye.git
cd crypto-eye- Create a virtual environment and activate it:
python -m venv venv
# Windows
venv\Scripts\activate
# Linux / macOS
source venv/bin/activate- Install dependencies:
pip install -r requirements.txt- Run the application:
python crypto_eye.py