LogMeal

LogMeal Food AI offers a complete toolkit for recognizing food, monitoring diets, analyzing nutrition, and expediting restaurant payments. This software employs sophisticated deep learning techniques to discern over 1300 distinct dishes, components, and nutritional data points from food visuals.

It delivers a streamlined and economical option for self-service eateries looking to boost customer contentment and shorten wait periods through contactless payment terminals.

LogMeal's API can also be fully incorporated with other applications, enabling individual and tailored learning and adaptation. Clients have the option to change, include, or omit ingredients, and approximate the quantity of food from the photograph.

Furthermore, the software furnishes real-time insights into eating habits, thereby refining dietary monitoring for senior citizens, individuals managing diabetes or kidney ailments, and those dedicated to a balanced way of life.

LogMeal boasts a proficient team specializing in food recognition, evidenced by more than 25 published global research papers and approximately 30 years of combined knowledge in computer vision and AI technologies.

It has achieved considerable success in implementing AI-driven food identification remedies across diverse scenarios, spanning from therapeutic applications to self-governing payment mechanisms in self-service dining spots and customized nutritional assessments.

LogMeal is enhanced by experts in robotics and automation from institutions like University Medical Center Groningen, Computer Vision Center UAB, and Eurecat Technological Center.