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In this paper, we propose a CNN-based method to accurately estimate the height of standing children under five from depth images collected using a commercial off-the-shelf smartphone. Overall, we collected data of 3887 children (2581 train data, 1306 test data) aged two-five years in rural India. Our approach estimated height with a mean absolute error of 1.64%, and for 70.3% test images, it achieved the acceptable 1.4 cm range. Hence, our solution can detect stunting accurately, by predicting the estimated height with the child’s age.

Table of Contents

Read more about:

  • Problem
  • Solution
    • Mobile App
    • App Backend
    • Machine Learning Backend
    • Machine Learning pipeline
  • Data
  • Scanning Process
  • Impact