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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
FlavoriaFlex device front screen

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
FlavoriaFlex device front screen

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
Flex Admin before/leftover comparisonFlex Admin waste overview

Data outputs​

FlavoriaFlex provides structured and analysis-ready data. Typical outputs include:

Per-meal summaries
  • Basic meal context
  • Recognized food items
  • Approximate portion sizes and nutrition
Consumption indicators
  • Approximate consumed amounts
  • Indicative intake estimates
Aggregated daily metrics
  • 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
Hospital meal before/after overviewHospital meal item-level consumptionHospital meal macronutrient and energy intake

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.