Quick facts
- Best for
- AI-powered food recognition for smarter eating and dining.
- Pricing
- Paid
- Editor rating
- 4.5 / 5
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- 0
About 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.
Pros
- Recognizes 1300+ dishes/ingredients
- Touchless checkout kiosk100% API integrable
- Real-time consumption analysis
- Strong team expertise
- Published 25 international papers30 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
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