Researchers are developing tech to analyse consumption by the bite, with the goal of tracking nutrition while you eat.
Commenting on researchers in Canada leveraging artificial intelligence to analyse food bite-by-bite by measuring images and footage of food, SMU Lee Kong Chian Professor of Computer Science Ngo Chong Wah said that compared with photographing a full plate of food, where some items might be obscured or later discarded, using a utensil is a more accurate way to quantify and identify what people actually eat. He has researched using deep learning and large language models for food recognition but was not involved in the study. “The spoon has uncovered the food content inside a dish, allowing recognition of ingredients not visible on a plate. The paper presents an innovative system that has potential to tackle several practical challenges in food recognition,” he said.