
FoodPhone – AI, 3D & hyperspectral imaging for food & nutrition
This case study explores how the FoodPhone™ project used FRAMOS imaging technology to turn smartphones into AI-powered nutrition scanners with 3D and hyperspectral vision.
"Lab-grade nutrition insights now fit in your pocket-thanks to smart imaging and AI."
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The FoodPhone™ project set out to transform the everyday smartphone into a powerful food scanner. By integrating compact hyperspectral and 3D vision modules-with input from FRAMOS-the team developed a handheld solution for meal recognition, portion estimation, and nutrient tracking.
Using a combination of AI, 3D data, and multispectral imaging, the FoodPhone™ enables healthcare providers and consumers to analyze food with accuracy that rivals lab equipment-delivered in seconds. The system is compact, low-power, and ideal for use in diet tracking, chronic disease management, and real-time food assessment.
Industry: HealthTech & Food Analytics
Designed for digital health, wellness apps, and dietary monitoring with clinical-grade imaging fidelity.
Application: Smart Meal Recognition
Identify food types, portions, and nutrients in real time-directly from a mobile device.
Technology Used: 3D + Hyperspectral + AI
Combines RGB, depth, and multispectral imaging with AI inference for accurate food and nutrient analysis.
Result: Fast, Portable Nutrition Insights
Delivers lab-quality analysis in seconds using compact sensors and models tailored for smartphones.
Want to explore how this mobile health tech was built?
Download the full case study to see how FoodPhone™ leveraged FRAMOS vision modules, 3D depth cameras, and hyperspectral sensors to create a compact nutrition scanner that works with any smartphone.
Talk to our experts about building smart health or food analytics devices
From AI-enabled wearables to hyperspectral sensors for nutrition tracking, FRAMOS can help you build compact, scalable imaging systems for consumer or medical-grade use. Let’s make your product vision a reality.