Color Sensors in a Lab-on-Spoon System for Home-Based Food Quality and Safety Monitoring

Transcription

1 Institute of Integrated Sensor Systems Department of Electrical and Computer Engineering

2 Color Sensors in a Lab-on-Spoon System for Home-Based Food Quality and Safety Monitoring Andreas König and Kittikhun Thongpull Institute of Integrated Sensor Systems TU Kaiserslautern, Kaiserslautern koenig@eit.uni-kl.de Outline of the talk: Background Lab-on-Spoon Concept Embedded Color Sensing Experiments & Results Conclusions

3 Background Smart Homes or Intelligent Houses find widespread interest to improve comfort, energy efficiency, safety & AAL Relevant subtask Smart-Kitchen requires qualitative & quantitative assessment of food quality and food safety Obstacles: lack of experience, acquired perception deficiency (age/injury) or assessment beyond human abilities Assistance system for sensing enhancement/restauration Electronic Tongue in Spoon as front-end Early MIT-work (Dr. Ted Selker) Source: Connie Cheng and Leonardo Bonannii. MIT Counter Intelligence group. Intelligent-Spoon (T, ph, σ, viscosity).

4 Lab-on-Spoon Concept Autonomous/Self-Sufficient Wireless Integrated Multi-Sensor System

5 Lab-on-Spoon Concept First Unsealed Prototype (Arduino pro mini) with USB-Host Communication Multi-Sensor-System: Color, Impedance Spectroscopy, T ph, viscosity, IR, in preparation Integrated/Embedded low-power solution employing 3D-Packaging Helps to scale, identify, and grade (fresh, rotten, contaminated,...) food by elaborated Computational Intelligence approach Extension to energy scavenging (Solar cell, vibration,...)

6 Embedded Color Sensing ¾ Sensing modalities: MaZET color sensors (MCS3AS), Impedance Spectroscopy (AD 5933), T by UST pt10k ¾ Color sensor is emerged in the liquid contained in the spoon ¾ Active illumination & optional gain control provided

7 Experiments and Results Data Acquisition by Orange Tap water Visualisation & Automated Feature Selection with QuickCog

8 Experiments and Results Lab-on-Spoon Life-Demo on Orange Training and evaluation of a recognition system (SVM) Life-acquisition from one of the LoS-demonstrators

9 Experiments and Results Beer map Example of the discernment of different food/ nutritional liquids Sensor fusion of color and impedance spectrum Temperature context

10 Experiments and Results Wine map Example of the discernment of different food/ nutritional liquids Sensor fusion of color and impedance spectrum Temperature context

11 Experiments and Results State of frying oil Example of the discernment of identical food differing in use or contamination Here: only color information Possibly device internal sensor!

12 Conclusions Food related applications (AAL/safety) require multi-sensory context information and assessment capability Smart-Kitchen/Cookbook with sensory context support challenged/ unskilled persons, restoring (providing) judgement on food Category, quantity, and quality/toxicity to be detected Multi-sensor Lab-on-Spoon works towards such a logger. Color sensors are valiant sources of information fusion in LoS Targets: Self-sufficient, Self-x, wireless, low-power, Numerous spin-off applications, e.g., oil quality sensor,. Sensory extensions: Multi-spectrum color, IIS, ph, viscosity,

13 Thank you! Project Sponsoring: