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Network Device Scan - Lensr
Νέα  Secure your environment with Lensr, a precision analysis system that converts your iPhone’s camera, sensors, and network utilities into a structured inspection mechanism. In settings like hotels, Airbnb rentals, offices, or personal spaces, Lensr enables direct evaluation of surroundings where hidden cameras or embedded electronics may exist. The camera becomes not only a visual tool but a detector of optical reflections and lens signatures that reveal concealed hardware.

Lensr uses camera-based reflection mapping to highlight bright, lens-like points that often correspond to hidden camera glass in mirrors, smoke detectors, wall fixtures, or decorative objects. The system’s magnetic field diagnostics examine variations in electromagnetic strength, exposing the presence of electronic components that are invisible to normal observation. Its network presence enumeration reveals every device sharing your Wi-Fi environment, making it possible to detect unknown or suspicious endpoints, including network-connected cameras.

All computation and signal processing occur fully on-device, preserving privacy and preventing any external transmission of camera data or sensor readings. No account or identifying information is required; the utility activates immediately and operates as a self-contained instrument

Lensr supports clear spatial validation whether assessing an unfamiliar Airbnb room, scanning a hotel bathroom, checking a studio, or conducting a workspace audit. It enforces direct perception, enabling users to transform uncertain environments into measurable, interpretable data landscapes supported by camera analysis and sensor intelligence.

Privacy Policy: https://appstra.co/privacy-policy.html
Terms of Use: https://appstra.co/terms-of-use.html
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  • Εκδοχή: 1.0.1
  • Ενημερώθηκε:
  • Improved camera reflection detection accuracy.
    Enhanced magnetic field stability for cleaner readings.
    Faster network device scanning and enumeration.
    Refined UI for more direct visual interpretation.
    Reduced false positives in camera-lens identification.
    General performance and reliability improvements.

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