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This review aims to help individuals, especially those managing conditions like diabetes or obesity, by estimating the calorie content of their meals using image processing techniques. Users take a picture of their food alongside a reference object like their thumb to gauge size and volume. The system then analyzes the image, using object detection and contour analysis to estimate food volume. By comparing the data to a database of food densities, the system calculates calories. It’s accessible via browser or localhost, offering an easy way for users to track their calorie intake without needing an internet connection.

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A Review: Food Recognition and Calorie Estimation Using Deep Learning

  • 会议论文

  • 发表日期：

    2025年

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  • Niral Botale,
  • Arya Pavale,
  • Sarthak Phadnis,
  • Sandeep Gaikwad

摘要

This review aims to help individuals, especially those managing conditions like diabetes or obesity, by estimating the calorie content of their meals using image processing techniques. Users take a picture of their food alongside a reference object like their thumb to gauge size and volume. The system then analyzes the image, using object detection and contour analysis to estimate food volume. By comparing the data to a database of food densities, the system calculates calories. It’s accessible via browser or localhost, offering an easy way for users to track their calorie intake without needing an internet connection.