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digital-image-processing

Digital image processing is the use of algorithms to make computers analyze the content of digital images.

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RetroSpectra

RetroSpectra is a real-time facial emotion detection application. It uses Convolutional Neural Network (CNN) to identify human emotions from live video feed. The application leverages a pre-trained model to accurately detect and classify emotions, providing an interactive and engaging user experience.

  • Updated May 26, 2024
  • HTML

Final year college project, based on Digital Image Processing, Computer Vision and Deep Learning. It is aimed towards helping visually impaired people to access digital media and information of their surrounding, through text recognition and objection classification.

  • Updated May 24, 2024
  • Python

The system should utilize state-of-the-art facial recognition algorithms to accurately identify individuals based on their unique facial features. Advanced machine learning models should enable the system to adapt to diverse scenarios, including varying lighting conditions, facial expressions, poses, and occlusions, ensuring reliable and precisely.

  • Updated May 9, 2024
  • HTML
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