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    A new infant iris scanner offers unique identification for babies. This non-intrusive device uses advanced technology for reliable infant biometrics in healthcare and security.

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    Area of Science:

    • Biometrics
    • Medical Device Technology
    • Infant Identification

    Background:

    • Iris patterns are unique and stable identifiers.
    • Current Near-Infrared (NIR) scanners are unsuitable for infants due to size and invasiveness.
    • Infant iris recognition is under-researched.

    Purpose of the Study:

    • Introduce the first dedicated infant iris scanner.
    • Address the gap in non-intrusive infant identification methods.
    • Develop a reliable biometric tool for infants.

    Main Methods:

    • Developed a novel hardware and software infant iris scanner.
    • Integrated a Near-Infrared camera, light source, and embedded processor.
    • Utilized a 68-point Face Landmark Detection-based OpenCV model for iris detection.

    Main Results:

    • Achieved iris detection from 7-10 inches (18-25 cm).
    • Acquired high-quality iris images compliant with ISO/IEC 29794-2 standards.
    • Ensured minimal invasiveness for infant comfort and safety.

    Conclusions:

    • The developed infant iris scanner is a significant advancement.
    • The technology enables non-intrusive, reliable infant identification.
    • Potential applications span healthcare, security, and childcare sectors.