A way to alert a mother in home about early stage of Neonatal Jaundice in order to get an early treatment to prevent newborn mortality/morbidity.
The most reliable and non-invasive way to detect jaundice is to check the skin tone of a person.
Adopting the same technique for a new born baby, identifying the color of baby's face will help in detecting jaundice.
- CNN to classify an image for jaundice/non-jaundice. Dataset used for this were images collected from google.
- Uniform Image - Resizing the images to 28x28 px.
- Face Detection - To use the baby's face only for identifying the color of the skin. (Using Haar-Cascade and OpenCV)
- Skin Detection - To detect just the skin of the face and ignoring eyes, hair and other unnecessary features.
- Obtaining Color - Extracting color only from the skin region. (Using ColorThief)
- Classification - Comparing the color value with different shades of yellow.
- Click the picture of the baby's face using Raspberry Pi's camera.
- The image will be processed and the corresponding LED (Jaundice/Non-Jaundice) glows.