Detection of Covert CCTV Systems Based on the Smartphone Depth Sensor

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Abstract

The paper presents research materials related to the use of a smartphone video system (depth sensor) to detect the covert video cameras in various premises, including the places of temporary accommodation (hotel rooms, locker rooms, passenger compartments, etc.) where a person suspects an intrusion on his personal security or privacy breach. The depth sensor of a smartphone makes it possible to increase the efficiency of automated search for covert video cameras by optical flare for an untrained person and security specialists. The article formulates proposals for the search procedure for covert video cameras and identifies the main technical specifications of an efficient survey.

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About the authors

Andrey S. Yusupovsky

Russian State University for the Humanities

Author for correspondence.
Email: aig@oparina4.ru

Student

Russian Federation, Moscow

Vladimir V. Grishachev

Russian State University for the Humanities

Email: aig@oparina4.ru
ORCID iD: 0000-0002-7585-7282

Cand. of Sci. (Phys.and Math.), associate professor

Russian Federation, Moscow

References

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Supplementary files

Supplementary Files
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1. JATS XML
2. Fig.1. Protect K18 wiretapping detector with broadcast scanning capability

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3. Fig.2. Optical block diagram of a pinhole lens. 1 – entrance pupil (pin-hole), 2 – objective lens, 3 – CCD matrix, 4 – electrical signals to the processing system, 5 – surfaces with Fresnel reflection, ϕ – field of view (viewing angle) of the lens, d – entrance diameter pupil, l – pupil relief, f – lens focal length

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4. Fig.3. Laptop video camera behind the protective stack with different camera angles: on top - normal, on the right - inclined. Camera shutter hole diameter 8mm

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5. Fig.4. Video system of the Samsung Galaxy S 20+ smartphone. 1 – 10 MP front camera, 2 – 12 MP ultra-wide-angle camera, 3 – 12 MP wide-angle main camera, 4 – 64 MP tele/photo camera, 5 – depth camera with infrared laser

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6. Fig.5. The operating principle of the depth sensor. 1 – depth sensor, 2 – IR laser, 3 – IR camera, 4, 5 – laser beam path, 6 – camouflage obstacle, 7 – hidden camera with pinhole lens, 8 – light-reflecting optical surfaces, L – distance to obstacle , l – camera eye relief

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7. Fig.6. Photo of an external webcam in a normal image (left) and obtained using a depth sensor (right) at different distances

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8. Fig.7. Photo of a laptop video camera in a normal image (left) and obtained using a depth sensor (right) at different distances

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9. Fig.8. Model of a hidden camera made from a WI-FI camera: on the left – the original view of the camera, on the right – images in three projections of the optical block

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10. Fig.9. Camouflaged model of a hidden camera in the form of an optical unit of a WI-FI camera against the background of a black sheet of paper

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11. Fig. 10. Optical circuit for simulating the detection of a hidden camera (1) behind a sheet of black paper (2) using a smartphone depth sensor (3) moved along the indicated arrows

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12. Fig. 11. Results of observing a model object at a distance of 40 cm with a conventional camera (top) and a smartphone ToF camera (bottom)

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13. Fig. 12. Results of observing a model object at a distance of 85 cm with a conventional camera (top) and a smartphone ToF camera (bottom)

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14. Fig. 13. Results of observing a model object at a maximum distance of 120 cm with a conventional camera (left) and a smartphone ToF camera (right)

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15. Fig. 14. Comparison of surveillance of a model hidden camera with a K-18 sensor (photo on the left) and a ToF camera (photo on the right) at a distance of 45 cm

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16. Fig. 15. Comparison of surveillance of a model hidden camera with a K-18 sensor (photo on the left) and a ToF camera (photo on the right) at a distance of 125 cm

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Copyright (c) 2024 Yusupovsky A.S., Grishachev V.V.

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