On the Subject of Face Detection

• Developed a Computer Vision project that efficiently detects human faces in both images and videos.
• Employs sophisticated algorithms and machine learning techniques to achieve high accuracy in face detection.
• The project's real-time capabilities make it suitable for applications requiring dynamic face analysis.
• Potential applications include facial recognition for authentication, emotion analysis, and surveillance systems.
• Demonstrates the significance of Computer Vision in automating tasks related to face detection and analysis.
• The project offers opportunities for further customization and integration into various applications with face detection requirements.

Face Detection Demo

Project Genre





Technologies Used

  • Python
  • Convolutional Neural Network
  • Mediapipe