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    Area of Science:

    • Physics
    • Applied Physics
    • Sensor Technology

    Background:

    • Imaging through barriers is challenging due to material interference.
    • Existing methods often require controlled environments or prior knowledge of targets.
    • Ferromagnetic materials pose unique difficulties for magnetic sensing.

    Purpose of the Study:

    • To demonstrate a non-invasive imaging system for concealed conductive targets.
    • To overcome limitations of sensing through metallic and ferromagnetic barriers.
    • To develop an automated system for real-time object detection.

    Main Methods:

    • Utilizing a Rubidium-85 (85Rb) radio-frequency atomic magnetometer.
    • Operating in an electromagnetic induction imaging modality.
    • Implementing active magnetic field compensation using servo-controlled coils.

    Main Results:

    • Successfully imaged multiple conductive targets through 2.5 mm steel and 2.0 mm aluminum shields.
    • Achieved automated compensation for ferromagnetic signatures and background variations.
    • Estimated target size and position with high accuracy (3.3 mm and 2.4 mm, respectively).
    • Demonstrated imaging without prior knowledge or background subtraction.

    Conclusions:

    • The atomic magnetometer system is feasible for imaging concealed objects through significant barriers.
    • The platform offers a compact, sensitive, and automated solution for diverse applications.
    • Potential applications include security screening and search and rescue operations.