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Handheld Color Scanner

“ True C o l o r s ”. Handheld Color Scanner. Presented by David Harwood Project Advisor: John Spinelli. Color Vision Deficiency. Deep Red. Medium Red. Deep Red. Brown. Deep Red. Brown. Deep Red. Brown. Finally, there is an answer…. “ True C o l o r s ”. Physical Design Goals.

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Handheld Color Scanner

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  1. “True Colors” Handheld Color Scanner Presented by David Harwood Project Advisor: John Spinelli

  2. Color Vision Deficiency Deep Red Medium Red Deep Red Brown Deep Red Brown Deep Red Brown

  3. Finally, there is an answer… “True Colors”

  4. Physical Design Goals • Portable and concealable • Weight < 140g (about 5oz) • Length = 120mm (about 4.7in) • Height = 60mm (about 2.4in) • Width = 30mm (about 1.2in) • 5mm measurement area • Usability • Minimal controls • Point-and-shoot operation

  5. Functional Diagram control function camera processor screen reflected incident light source

  6. Processing of Data • Reflected wavelengths are acquired • Wave characteristics determined • RGB values • Munsell color system - Value - Hue - Saturation

  7. Processing of Data (Cont’) • Characteristics compared to color library • Standardized Munsell chart HSV • Color name assigned to scanned surface Hue = 0.050 = red Hue = 0.250 = yellow Hue = 0.403 = green Hue = 0.775 = blue … dominant color: RED Hue = 0.440

  8. Light Source • Boxed encasing with white LED • Controlled environment • Limitations: emission spectrum is blue-light biased

  9. Color Namesfrom Munsell Color System • 10 Basic Colors • Red • Orange • Yellow • Yellow-Green • Green • Blue-Green • Blue • Purple • Red-Purple • Brown

  10. Standardized vs. Measured Hue Values for Prototype Moderate Red Yellow-green Blue-green Blue Sky Blue Flower Orange-Yellow Blue Magenta Orange Purple Yellow Green Cyan Red 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 Standardized Hues Measured Hues 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

  11. Hue Sensitivity Distance Between Hue Values (dimensionless) Blu-2-Prp Org-2-Yel Red-2-Org Grn-2-BluGrn YelGrn-2-Grn BluGrn-2-Blu Prp-2-RedPrp RedPrp-2-Red Yel-2-YelGrn

  12. Results 14.5/21 = 69% accuracy Explained by Sensitivity Figure

  13. Goals • provide color label • input  output time < 3sec • easily concealable • marketable price < $150.00 • appropriate library size

  14. Achievements • Concept proven • Provided a reliable color label for most surfaces • Errors between similar colors • Simple color library • Minimal costs for prototype

  15. Further Development • Light sensor as opposed to digital camera • A to D converter • MATLAB  C • Microprocessor • LCD • Find a way to measure color of distant objects • Traffic lights • Unreachable items • Focusing lens • Sample smaller areas • Resistor values

  16. Questions?

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