LogMeal Food AI stands as a comprehensive solution for food-related tasks encompassing recognition, tracking, nutrition analysis, and streamlined restaurant checkouts. At its core, this software harnesses the power of advanced deep learning algorithms capable of identifying a diverse array of over 1300 dishes, ingredients, and nutritional details solely from images of food.

This tool proves invaluable to self-service restaurants, as it significantly enhances customer satisfaction and expedites service by facilitating touchless checkout kiosks. Furthermore, LogMeal’s API offers seamless integration with various applications, opening avenues for personalized learning and customization.

Customers benefit from the flexibility to modify, add, or remove ingredients and gauge food quantities directly from images. Additionally, the software extends its utility to real-time consumption analysis, proving instrumental for individuals with dietary considerations such as the elderly, diabetes or renal disease patients, and those pursuing a health-conscious lifestyle.

Behind LogMeal’s cutting-edge technology is a team of food recognition experts boasting an impressive track record of over 25 internationally published papers and up to three decades of experience in the realms of computer vision and AI. Notably, LogMeal has made significant strides in delivering AI-driven food detection solutions across diverse domains, including medical applications, autonomous checkout systems for self-service eateries, and personalized nutrition estimation.

LogMeal’s journey is enriched by collaborations with pioneers in robotics and automation from esteemed institutions such as the University Medical Center Groningen, Computer Vision Center UAB, and Eurecat Technological Center, solidifying its position at the forefront of innovation.