Institute of Integrated Sensor Systems Department of Electrical and Computer Engineering © 2014 Andreas König, ISE, Spectronet 2014 Presentation 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, 67663 Kaiserslautern E-Mail: [email protected] Outline of the talk: ¾ Background ¾ Lab-on-Spoon Concept ¾ Embedded Color Sensing ¾ Experiments & Results ¾ Conclusions © 2014 Andreas König, ISE, Spectronet 2014 Presentation Background ¾ Smart Homes or Intelligent Houses find widespread interest to improve comfort, energy efficiency, safety & AAL ¾ Relevant subtask Smart-Kitchen requires qualitative & quantitative assessment of food quality and food safety ¾ Obstacles: lack of experience, acquired perception deficiency (age/injury) or assessment beyond human abilities ¾ Assistance system for sensing enhancement/restauration ¾ ´´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). © 2014 Andreas König, ISE, Spectronet 2014 Presentation Lab-on-Spoon Concept Autonomous/Self-Sufficient Wireless Integrated Multi-Sensor System © 2014 Andreas König, ISE, Spectronet 2014 Presentation Lab-on-Spoon Concept First Unsealed Prototype (Arduino pro mini) with USB-Host Communication ¾ Multi-Sensor-System: Color, Impedance Spectroscopy, T ¾ pH, viscosity, IR, … in preparation ¾ Integrated/Embedded low-power solution employing 3D-Packaging ¾ Helps to scale, identify, and grade (fresh, rotten, contaminated, ...) food by elaborated Computational Intelligence approach ¾ Extension to energy scavenging (Solar cell, vibration, ...) © 2014 Andreas König, ISE, Spectronet 2014 Presentation 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 © 2014 Andreas König, ISE, Spectronet 2014 Presentation Experiments and Results Data Acquisition by Orange Tap water Visualisation & Automated Feature Selection with QuickCog © 2014 Andreas König, ISE, Spectronet 2014 Presentation Experiments and Results Lab-on-Spoon Life-Demo on Orange ¾ Training and evaluation of a recognition system (SVM) ¾ Life-acquisition from one of the LoS-demonstrators © 2014 Andreas König, ISE, Spectronet 2014 Presentation Experiments and Results ¾ Beer map ¾ Example of the discernment of different food/ nutritional liquids ¾ Sensor fusion of color and impedance spectrum ¾ Temperature context © 2014 Andreas König, ISE, Spectronet 2014 Presentation Experiments and Results ¾ Wine map ¾ Example of the discernment of different food/ nutritional liquids ¾ Sensor fusion of color and impedance spectrum ¾ Temperature context © 2014 Andreas König, ISE, Spectronet 2014 Presentation Experiments and Results ¾ State of frying oil ¾ Example of the discernment of identical food differing in use or contamination ¾ Here: only color information ¾ Possibly device internal sensor ! © 2014 Andreas König, ISE, Spectronet 2014 Presentation Conclusions ¾ Food related applications (AAL/safety) require multi-sensory context information and assessment capability ¾ Smart-Kitchen/Cookbook with sensory context support challenged/ unskilled persons, restoring (providing) judgement on food ¾ Category, quantity, and quality/toxicity to be detected ¾ Multi-sensor Lab-on-Spoon works towards such a logger …. ¾ Color sensors are valiant sources of information fusion in LoS ¾ Targets: Self-sufficient, Self-x, wireless, low-power, … ¾ Numerous spin-off applications, e.g., oil quality sensor, …. ¾ Sensory extensions: Multi-spectrum color, IIS, pH, viscosity,… © 2014 Andreas König, ISE, Spectronet 2014 Presentation Thank you ! Project Sponsoring: © 2014 Andreas König, ISE, Spectronet 2014 Presentation
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