Laser Assisted Photography Detection (LAPD) Hidden Camera App

Published Dec 16, 2021 12:52 PM

Researchers at the National University of Singapore (NUS) have developed a potential solution to the deficiencies of hidden camera detection technologies in the form of a smartphone app.

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** **** ******, ** ******* ***** approach ** ****** ****** *********, ******* an ******** ** *** ***********, *** highlight *** ********** *** ************* ** the ***, ***** ** ******** **** the ***********.

**********

****** ******* **** ****** ** ********** concern **** *** **** ******, ** technology *** ******** *** ******* ****-******* cases ** ******* ******** ********* ****** cameras ******** ** *** **** (*,*,*,***** ******** ***** *****).

***** *** ******** ********** ** ******* hidden *******, **** ** ***** **** accuracy ******** (******* ****** ** ************ ********* ****** camera *********).

Executive *******

*******, ** ******** **** * ***** of *********** **** *** ******* * solution **** ** **** *************** ************* than ************ *********, ****** ** **** significantly ****** ********, *** *** *** on ** ** *** ** ***'* existing **********. *******, ** ** *** yet ********* *********.

*** ********** ******** * ***** *********** their ********, ******** *****:

Conventional **********

***** *** *** **** ********** ** finding ****** *******: *** ** ***** on *** ***** ********** **** *** hidden ****** *** *** ***** ** centered ****** ******** ******* **** *** camera *******.

Light ********** *********

********** ****** ****** ********* *** *** LED ****** ** ****** *********** **** the ******, *** **** ******** *** proven ** ** *****-********* *** ********* to ***. **** ** *** ******* in *** ******* *** ****** ********** and **** ****** * ****** ********** when ***** ** ****** **** **.

**** *** ********* ****** *** **** hidden *******, *** *** **** ** the ********** ** ***** *** ** is ********* ********* ** ***. ********, these ******* **** ********* ******** ****** noise **********, ***** ***** ******* * hidden ****** **** **** *********. ****, hidden ******* *** ** ****** ** the ******** ** *** ******** ******* with *** ****** ******.

RF ********* *********

*************, ********* *** **** *** ** signature ****** **** * ****** ******. However, ***** ******* *** ***** ** false ********* *** ** **** **********, laptops, ****** ********, ***. ***** **.

*****, ** ********* ** *** **** the ******* ******** ** * ******, even ** ********. ********, ***** ******* are ****** ** ****** ******* **** record ******* *** ** *** ******** wirelessly.

LAPD *** ********

******************************************** (****) ******* ****-**-****** (***) ******* ********* ** most ****** ***********. *** **** ***** the *** *** ***** * ********** object, ********* ** ************. ***** *** scan ** ******** *** *** ******** the **** *** ********** *** ******* location ** *** ********* ******.

Time-of-Flight (***) ******

****-**-****** *********** * ****** **** ******* and ******** *** **** ** ***** them ** ****** **** **** *** reflected **** *** ******.[*]******* *** ***** ** ***** ******* travel ******* *** ***, * *** sensor *** ******** *** ******** ******* itself *** * ******.

*** ********** *** ******** ******* ****** and ******** **** * **-****** ***** map. ** **** ******** ** ********** of *** ******** ** *** ************ and ******* **** **** **** ** intensity *** (** ********* ****** ********** map).

*** **** *** **** **** ***** and ********* **** *** ********-******. ** get * ****** ************* ** *** the *** ****** ***** **** *** camera *********, ******** *** ******* **** the**** ********** ******* ***** * ***** ****** ******** a ****** ******:

IPVM Image

*** ******** ** ***** ** *** following *******:

  • *** ****** *** ****** *** ** the ***** ***, *** ****** ** object ************* ** ***** ****** **.
  • *** ****** *** ****** *** ** the ********* ***, *** **** ********** in *** ***********
  • *** ********** ******* *** ********* ********** with ************ ****-********* ***********

*** "****+******" ***** ******* * ****** reflection **** ***** ** * ***** (1-2 ******) ***** "****" ** *** depth *** **** *** ** ***** analyzed. ** ******** ****-********* ********** ** unexpected, *** *** *** ******* *** that ** *** ********* *** ** the ****** (*****-********** **** *** ****** circled ** *** ***** ****). ** further ********* "*****" ** *** ********* map *** *** ******** ****** ********** and ****** *** ******** ***********.

Better **** ******** ************

********* ** *** *** ******* ******* out ** *** *** ******** ***** LAPD *** ********* ******* ****** ******* 88.9% ** *** ****, ******* *** K18 ****-*** ******** (** ******** *** continuous *****) *** *****-*** ********* ***** were **.*%, **.*%, *** **% ************. More *********** ** *** ***** ********* were ****** *** ** **** ***** ***** **** *** ********* ** the ******** *****.

*** *** ********* ***** **** ******* correctly ** ******** *** *********** ** hidden ****** *********, ** ***** *****:

*** ****** **** ************ **** ******** filters ** ****** ******** "*****" *** coming **** * ****** ******. ***** are * ******* ******** (********, *****, size, **** ********).

  • ******** ****** ** ***** ** ****** random *********** **** *** ****** **** behind *** ****** ** **** ***** more ******* ******* ** *******.
  • ***** *** **** ******* *** ********* the "****" ***** ** *** ************* rules ***** *** ******* **** ** a ****** ***** *** ********** ** it *********** ********* *********** **** *** too *** *** * ****** ****** and *********** *** ***** ** ***** isn't ***** ** * ******.
  • *** **** ******** ****** ** *** most ****** ****** ***** **** ******** algorithms *** ******* *** **** ********* and **** *** ********** ****** **** a ****** ******.

Limitations ** *** ***

**** ** *** ****

***** ************ ******** *** ** **** to **** ** **** ** * few *******, *** *********** *** ****** take ** ** ** *******. *** upside ** *********** ******* ******** *** likely **** ******* **** ** ******* the ****** **** ************ ****** ****** detectors.

************ **** ******* *********

** ***** *****, *** *********** ****** a ****** ** ********* (*****, *** paper, ******* ***, ***** *****, ***** bottle, *** ******** ****) **** *** create * *********** ****** ** ***** positives *********.

*** ******** **** ** **** *** researchers **** **** ******* ***** **** learning ***** ** ******* *****, ****** there *** ** ***** ********* **** the *********** **** *** ******** ** yet **** ***** ****** ******** ** the *****.

************ **** ****** ** *** ******

*** ******* *** *** **** *********** problem **** **** *** *** ***** hidden ****** ********* ******** **** ******** some **** ** ***** ******* ** the ****** ** *** *********** ***** on *** **-****** ***** ** **** (FoV). ******* *********** *********** ** **** a *** **** **** *** **** observed ****** * ******* *****. * hidden ****** *** ** ******** ** the ******** ** ****** ****** * 20-degree **** ****** **** *** ****** camera(******). *********, *** ********** **** *** camera ***'* ** ****. ** ****-***** terms, ** ***** **** ********* ** the ***** ** ***** *** ****** is ********* ***** ** * *********** that *** ***'* ** **** ** find * ****** **** *** **** app ** *** ***** *****-******** ******** for **** ******.

Upcoming *******

*** *********** ***** *** **** ** an ***** ****** ** **** *** app **** ** ******** ** *** it **** ** ******.

Comments (6)
JH
John Honovich
Dec 16, 2021
IPVM

**** ** ******'* ***** ****!****** ******** ********* **** ***** ** received * ******’* ****** ** *******. He **** ******** *** ************* ****** in ******* **** ****** ***** **********.

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(6)
UM
Undisclosed Manufacturer #1
Dec 16, 2021

**** *** * ***** ****! ******* Nikita.

****** *********** *** **** ********* *** element.

(2)
U
Undisclosed #2
Dec 17, 2021

***** ******* ******. *'* ******* ******* to **** ** **** ********.

NE
Nikita Ermolaev
Oct 17, 2022
IPVMU Certified

******: *** ********** **** **** **** they *** **% **** *** ** not **** ** ******* *** *** in *** *** *****, ****** **** plan ** ******* *** ****** **** on ******, ** *****:

**'* [***] ***** **% ** *** way *****. *** ******* ****** **** take **** *** ************* *** ******** configuration ***** ** *** ** ** handle *** *********** (** **** ***-********** calibration *** ** *** ***********).

**'* *** ****** ***** ** ** something ****'* ******** ** *** ***** it *** ** ********** ** ** app *****, *** *** **** ** to ******* *** ****** **** ** GitHub ** **** ** ********.

U
Undisclosed #3
Oct 17, 2022

****.***** *****.

NE
Nikita Ermolaev
Dec 05, 2022
IPVMU Certified

******: *** **************-************ ******** ******* ******* * ******* ******* ******* *** - ****.