• Harshitha S V
• Dhanalakshmi S
• Mukeshwar Varma D
• Mayuri K P

In today’s world, the important thing that matters is health. people have become more health-conscious and are careful about their diet. To consume quantified food every day, automatic recognition of the food image helps. As of now, there are no applications that can recognize food and estimate their calories automatically. Our proposed system not only detects varieties of fruits & vegetables but also provides per serving calories of each food detected in a single image. To achieve this, we will take the input of the food image from the user. This food item is detected with the help of the CNN algorithm. In the next step, we do image segmentation with the help of morphological functions of OpenCV. After Segmentation, the Volume of the food is calculated. After this, with the help of formulas calories of the food are calculated.

Automatic recognition, Convolution Neural Network, Morphological functions, OpenCV

"Food classification and calorie estimation using computer vision techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.143-147, June-2020, Available :http://www.jetir.org/papers/JETIR2006023.pdf

"Food classification and calorie estimation using computer vision techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp143-147, June-2020, Available at : http://www.jetir.org/papers/JETIR2006023.pdf