FlavoriaFlex
FlavoriaFlex is an AI-powered food recognition system that captures meal images and produces structured food information for analytics and research. The system combines image capture, weighing, and automated recognition to generate key meal-level indicators.
What Flex does
- Captures before and leftover meal images
- Recognizes food items from images
- Provides high-level indicators about portions, nutrition, and waste
Core components
Flex Device UI (front screen)
The Flex device is the user-facing terminal at the lunch line.
- Shows recognized food items with indicative nutritional values
- Summarizes the meal into an easy-to-read overview
- Can visualize how a meal aligns with general dietary guidelines
- Designed for quick feedback at the point of meal selection
Flex Admin frontend (analytics dashboard)
Flex Admin is the analytics and monitoring interface for researchers and operators.
- Aggregates meal-level information for further analysis
- Shows summaries of served food and estimated waste
- Helps explore trends and patterns over time at a high level
Data outputs
FlavoriaFlex provides structured and analysis-ready data. Typical outputs include:
- Basic meal context
- Recognized food items
- Approximate portion sizes and nutrition
- Approximate consumed amounts
- Indicative intake estimates
- Total food served and estimated waste
- High-level patterns across days
Example use cases
Nutrient-conscious restaurant users
In normal lunch restaurants or cafeterias, FlavoriaFlex can:
- Provide indicative energy and macronutrient information for selected meals
- Highlight whether a meal broadly aligns with nutritional guidelines
- Support users who want to understand their choices over time
Hospitals and clinical nutrition
In hospitals, especially high-risk units (e.g. cancer/oncology, gastrosurgical, neurological), knowing what a patient actually consumes is critical to avoid malnutrition and support early recovery.
By pairing before and leftover images and weights, FlavoriaFlex can:
- Estimate item-level consumption (what was eaten vs. left)
- Quantify consumed macronutrients (carbohydrates, fats, protein)
- Estimate energy intake (kJ / kcal) per meal and per day
Co-create with us
Got an idea for using or extending FlavoriaFlex in research, teaching, or pilots? We have in-house expertise in AI, computer vision and data analytics, and can co-design and prototype new use cases with you. Reach out via the Flavoria research contact on the main catalog page and let’s explore it together.