LogMeal

LogMeal Food AI is a comprehensive tool for food recognition, tracking, nutrition analysis, and fast restaurant checkout. The software uses advanced deep learning algorithms to identify over 1300 different dishes, ingredients, and nutritional information based on food images. It provides an efficient and cost-effective solution for self-service restaurants to improve customer satisfaction and reduce waiting times by providing a touchless checkout kiosk. LogMeal's API is also 100% integrable with other apps, providing personalized and customized learning and customization. Customers can modify, add or remove ingredients, and estimate food quantity from the image. Moreover, the software offers real-time consumption analysis services, enhancing food tracking for elderly people, diabetes or renal disease patients, and those with a healthy lifestyle. LogMeal has a team of experts in food recognition, including over 25 international papers published and up to 30 years of experience in computer vision and AI. It has been successful in providing AI food detection solutions for various contexts, including medical solutions, autonomous checkout devices for self-service restaurants, and personalized nutrition estimation. LogMeal is augmented by robotics and automation revolutionaries from institutions such as University Medical Center Groningen, Computer Vision Center UAB, and Eurecat Technological Center.

Tags: food recognition, nutrition tracking, restaurant tech, touchless checkout, image recognition, deep learning

Category: food analysis

Pricing: free

LogMeal
food analysis

LogMeal

LogMeal Food AI is a comprehensive tool for food recognition, tracking, nutrition analysis, and fast restaurant checkout.

The software uses advanced deep learning algorithms to identify over 1300 different dishes, ingredients, and nutritional information based on food images.

View more details in the About section below...

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LogMeal Food AI is a comprehensive tool for food recognition, tracking, nutrition analysis, and fast restaurant checkout.

The software uses advanced deep learning algorithms to identify over 1300 different dishes, ingredients, and nutritional information based on food images.

It provides an efficient and cost-effective solution for self-service restaurants to improve customer satisfaction and reduce waiting times by providing a touchless checkout kiosk.

LogMeal's API is also 100% integrable with other apps, providing personalized and customized learning and customization.

Customers can modify, add or remove ingredients, and estimate food quantity from the image.

Moreover, the software offers real-time consumption analysis services, enhancing food tracking for elderly people, diabetes or renal disease patients, and those with a healthy lifestyle.

LogMeal has a team of experts in food recognition, including over 25 international papers published and up to 30 years of experience in computer vision and AI.

It has been successful in providing AI food detection solutions for various contexts, including medical solutions, autonomous checkout devices for self-service restaurants, and personalized nutrition estimation.

LogMeal is augmented by robotics and automation revolutionaries from institutions such as University Medical Center Groningen, Computer Vision Center UAB, and Eurecat Technological Center.

Key Benefits

Recognizes 1300+ dishes/ingredients
Touchless checkout kiosk
100% API integrable
Real
time consumption analysis
Strong team expertise
Published 25 international papers
30 years in computer vision
Automated food tracking
Medical nutrition estimation
Personalized learning/customization
Micro & Macro nutritional information
Ingredient modification feature
Estimate food quantity from image
Adaptable to various projects

Use Cases

food recognition
nutrition tracking
restaurant tech
touchless checkout
image recognition
deep learning

Highlights

Recognizes 1300+ dishes/ingredients
Touchless checkout kiosk
100% API integrable
Real

Tags

food recognition
nutrition tracking
restaurant tech
touchless checkout
image recognition
deep learning