Food analysis 2022-02-11
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LogMeal

5.0(2)
20
1
Food image recognition, nutrition analysis, checkout.
Generated by ChatGPT

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.

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Comments(1)
Jan 11, 2024
Amazing AI for Food Recognition, from health, sport, wellness, providing 37 micro
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LogMeal was manually vetted by our editorial team and was first featured on March 24th 2023.
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45 alternatives to LogMeal for Food analysis

Pros and Cons

Pros

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
Supported by reputed institutions
Enhances customer satisfaction
Reduced waiting times
Cost-effective for businesses
Practical for self-service restaurants
Usable in medical solutions

Cons

Limited to 1300 dishes
Cannot handle complex dishes
Dependent on image quality
Limited customization
No real-time support
Assumes standard ingredient quantities
Might not recognize unique ingredients
Estimation based on single image
Bias towards self-service restaurants
Vulnerable to lighting conditions

Q&A

What is LogMeal Food AI?
How does image recognition work in LogMeal?
Can LogMeal recognize and analyze nutrition information based on images of food?
How can LogMeal be used in self-service restaurants?
What is the touchless checkout kiosk function of LogMeal?
Is LogMeal's API integrable with other apps?
Can customers customize food ingredients and estimate food quantities using LogMeal?
Who can benefit from LogMeal's real-time consumption analysis services?
Does LogMeal have a skilled team working on food recognition?
Are there any case studies of successful implementation of LogMeal?
Is LogMeal AI also supported in a medical capacity?
What dishes can LogMeal AI recognize?
What advanced algorithms are used in LogMeal Food AI?
How can LogMeal help reduce restaurant checkout times and costs?
How detailed is the nutritional information provided by LogMeal?
Can LogMeal provide personalized learning and customization to users?
What institutions are supporting and using LogMeal?
What is the API 100% integrable feature of LogMeal?
How does LogMeal AI improve customer satisfaction in restaurants?
Is LogMeal's service applicable in the health sector, especially for elderly, diabetes or renal disease patients?

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