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Always-on low-power optical system for skin-based touchless machine control.

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    This study introduces a novel low-power embedded vision system for detecting human skin. The smart sensor acts as a touchless switch, improving energy efficiency and machine control.

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    Area of Science:

    • Computer Vision
    • Embedded Systems
    • Sensor Technology

    Background:

    • Embedded vision systems offer energy-efficient data processing for real-world applications.
    • Detecting human skin is crucial for interactive and touchless interfaces.
    • Existing systems often face challenges with varying illumination conditions.

    Purpose of the Study:

    • To develop a novel, low-power optical embedded system for reliable human skin detection.
    • To utilize the system as a smart switch for controlling appliances.
    • To enhance energy efficiency in embedded vision applications.

    Main Methods:

    • An always-on, low-power RGB color sensor with on-chip rg space conversion.
    • An energy-efficient microcontroller (MCU) for signal classification.
    • Integration with a proximity sensor for distance validation and interaction detection.

    Main Results:

    • The system effectively detects human skin under diverse lighting conditions.
    • Hardware preprocessing in the rg space significantly reduces power consumption.
    • Combining color and proximity sensing improves detection performance over individual components.

    Conclusions:

    • The proposed embedded vision system provides an energy-efficient solution for touchless control.
    • The system demonstrates high performance in detecting human skin and proximity.
    • This technology offers a promising approach for smart, interactive machine interfaces.