Abstract
One of the essential needs of every living thing on earth is food. People are getting increasingly sensitive to their diets today, all around the world. The fight against obesity, weight gain, diabetes, etc. requires accurate methods for measuring food and energy intake. An innovative and practical solution that helps users/patients track their food consumption and collect dietary data might give us the most insight into long-term prevention and efficient treatment programs. In this post, we offer a calorie-measuring method that can help patients and medical professionals fight diseases caused by food. The user can snap a photo of the food and instantly determine how many calories were consumed thanks to our suggested method. We classify 80 high-resolution food photos into each class using deep convolutional neural networks to train the model and precisely identify the food components in the user's camera-taken image. We deployed Faster R-CNN algorithms to identify food items and label them appropriately.
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Saraf, S., Bagaria, R.K., Kuresan, H., Dhanalakshmi, S. (2023). Calorie Measurement for Raw Vegan Diet Using Deep Learning Networks. In: Senjyu, T., So-In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. SmartCom 2023. Lecture Notes in Networks and Systems, vol 650. Springer, Singapore. https://doi.org/10.1007/978-981-99-0838-7_58
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DOI: https://doi.org/10.1007/978-981-99-0838-7_58
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