Avigilon Presence Detector Tested

By Rob Kilpatrick, Published Nov 04, 2020, 12:20pm EST

Avigilon claims their Presence Detector offers high accuracy person detection, "even if the object is hidden or obstructed by objects such as blankets, cardboard, wood and drywall."

IPVM Image

We bought and tested the APD-S1-D Presence Detector examining:

  • Does it detect people at its max range?
  • Are people detected walking, running, or crawling?
  • Is presence still detected when there is no movement?
  • Can the sensor detect people through cardboard/wood/drywall?
  • How well does the UWB technology it uses work?
  • How well does it integrate with ACC?

*******

** *** *******, *** Avigilon ******** ******** ********** detected ****** *******, ********, running, ** ********* ***** within ~**' ** *** device, **** ******* *******, wood, ** *********.

*******, ** ****** ********* (up ** *** ****** specified *** ******** ** ~29'), ******* *** ***** subjects **** ******. ************, presence ************ ******** ********* for ~* ****** **** a ****** **** *** scene, ********* ********** * dwell ***** (*********** * loitering *****) ***** ** by ****** * "**** off" ****** ** **** sure ****** *** *** in *** *****.

Vs. ******** ****** *********

********'* ******** ********'* **** advantages **** ******* *** or *****-**** ****** ********* are *** ******* ** detect ***** ******* (*** possible **** ******* ****** sensors) *** "***" ******* walls ** ***** ********* which *** ***** *********, e.g. *********.

*******, ** ** ************* more ****** **** ******* motion *******, ***** ********* are ** *** $***-*** range ******* ** ~$*** for *** ******** ********.

UWB ***********

******** ******** ******** ** one ** *** ***** security *** ************ ******* to *********** *** **********. It ********** ******** ******** from *** ****** ******* to *** ******* **** and *** ** ***** the ******* *** ******.

*******, ********'* *** ************** only ****** *** *** away * ******* *** from *** ****** *** in **** ********* ** was, ** ***** *****:

IPVM Image

Avigilon ********

******** **** ** *** following ******** ** ******** Detector *********** *** ***-*****:

*** ******** ******** *** designed ** ******* *** need *** * ****** to ****** ******** ** stationary ***** ******** (****** and ********) *** *** optimized *** **** ***-****. PIR ******* *** ******* with ****** ********* **** not ************ ******** *** scenarios ***** ******* ******** still *** ******** ******* of ****, ** ***** objects **** ******* ********. It *** *** ******** to ** * ******* purpose ****** ******** ** we **** ***** **** plenty ** ********* ********* on *** ****** *** that *******. *** ******** detector ** ********* ** detect *****-********* **** ** breathing ****** **** ***** movements **** ** *******.

** ******** ** *** concerns ***** ******** ****** remaining ********* ***** ******** left *** ********* ****, potentially ********** ***** ***** alarms:

*** ********** *** ****** towards ****** ** ** absolutely **** ** *** is ***** ** ***** is * **** ** 'cool ***' ****** ****** it ** **** ******* actually **** ***** *** take ** ** ** seconds.

*******

*** ******** ******** ******** (APD-S1-D) *** ** **** of $*** ***. **** is ******* ***** *** price ** ******* ****-******* PIR/multi-tech ****** *******, ******* $100-200 *** ******, ****** typical ****** ******* ** not ****** ******* ***** or ****** ***** ********. Pricing ** ******* ***** than****' *****-** ******* *****(~$*,*** ******), ****** *** Axis ***** ** *******-***** and ******** **** ************* of ******* ********.

Simple *****

******** *** ** *********** requires **** *** ******** to ** **********, ******* distance *** ***** ****. Dwell **** ** *********** a ********* *****, *** minimum ****** ** **** a ******* **** ****** present ****** * ****** alarm ** *********.

***** *** **** *** the ***** **** **** to **** *** ******** that *** ******** ** detecting ********. ***** ***** is ** ******** ** the *** ** ** the *** ********* ** the ******.

Accurate ********* ** ~**' *****

** *** *****, ****** were ******** ******** *******, crawling, ** ******* ******* the ***** ** ** ~13' (**).

IPVM Image

Subjects ****** ******* ** ****** *****

*******, ******** ******* ******* the ***** ** ****** ranges **** ********* ******, starting ** ~**'.

IPVM Image

Presence ******** **** ******** *****, ******* ** ****** ****

****** ** *** ***** were ***** ******** ** present ** **** **** not ****** ** *** scene, ********* ****** ********, sitting, ** ****** ****. Detection ** ********** ******** was ******** ** ** ~13'.

IPVM Image

*******, ******* ** **** range, ***** ******** **** no ****** ********.

IPVM Image

Presence ******** **** ********** ****** ****, *******, *********

** *** *****, ******** was ********** ******** *** continuously ******* ** **** the ******* *** ****** wood.

IPVM Image

************, ******** *** **** accurately ******** ******* *******.

IPVM Image

*******, *** ******** ** a ****** *** ********** detected **** * ****** was ****** *********.

IPVM Image

Presence ********* ***** *** ~* ****** ***** ******* ****

****** *******, ******** *** detected *** ~* ****** after *** ******* **** the *****, ********* ** some ***** ***** **** alerts. ***** *****, *** detector ***** ***** ******** of * ******* *** over * ****** ***** he **** *** *****:

IPVM Image

ACC ***** ** ********* ***********

*** ******** ******** *** be ********** **** ******** Control ****** *** ***** to *** ***** ** attention ***** ** ****** a **** ******* ** other ******** ******.

IPVM Image

*** **** ** ******** a '********' ***** *** does *** **** *** far **** *** ****** is *** **** ** provide *** ****** ******* or ********** ** ***** the '********' ************ **.

Versions ****

*** ********* ******** **** used ****** *******.

  • ******** ***-**-*: * *.**.*.**

Comments (14)

#**** (**** **** *** Again).

**** *** **** ****. John **** **** *** fog ********, ******* *** digital ***** ****** *** background ** *** **** session ** **** ** up * *** *** keep ** ***********. ***** make ** **** * "Laser" *** **** ***** with *** **** **** space, ***** * *** 'obstacles' ** **** ******. A ******* ** *** for ***** ** *** for ****** ****** *** and ******** **** ********, a ******** *** **** of **** *****.

****** *** **** **** work ** ********* **** a *** *********** ** help **** '**********' *********.

****** *** **** **** work ** ********* **** a *** *********** ** help **** '**********' *********.

*** *** ********* *********** is ******* **** **** was ********* ***** ***.

*****,

********** ***** ** ** a ****** ***** ** non-vestibule/controlled ****** ********* ** I ** ******* *** well ** ******** ******** in ******* ******** ** detect '*********' ** *** ATM ******. ** ******** combat ********** ** * real **** ********* *** need *********** ******* *** ATM **** *** *** the ***/****. ** ** case **** ** * proprietary ** *** *** something **** ***+ ** 91X ***. *** **** to ***** ****** ******** ATM ************ **** *** same ****** ** *** systems ***** ** **** to **** *****.

**** ** *** **********? I *****'* ***** **** term **** ******, *** a ***** ****** ****** doesn't **** *** ********** results.

******* * **** ***** that *** ********* ********* to ****** ****** ***** becomes ********* ******* *** have **** ****** **** take ******* ** ** a ****** ** ***** things, **** ****** ***** is ** ***** ********.

*****,

********** ** *** **** a ****** ***** ** an *** ** *** multiple ******* ******** **** they **** **** ***** and **** **** ***. The ******* ** **** is ** ***** *** accounts *** ** **** as ******** ** * single ***********. ***** ***** the ************ **** ** over * ***** ************/********* before **** *** **** at **** ******** *** move ** ** *******. To ******* ********** *** need * ******** ** monitor *** ****** *** you **** ****-**** *** data ** **** ***** are ******** ************ ****** a ***** **** *****. The **** ** ** detect *** ********* ********** before ** **** ******** are ******* ** ******** the *** ****. *** there *** *** ********* that *** ****** ********** transactions *** **** ******** real **** ***** ********* the ***** ** *** two *** **** ****** the *****.

** * ********* **** tend ** ***** ********** where ****** ** ********** even **** * **** w/o ****** ******* ** outside ********* **** ** drive ** **** *** often *** ***** ******.

** ****** **** * better ******** ***** ** to ********* ** *** person ** *** *** changed ******* ************, ******* of **** ********* *** general *********. ** ***** do **** **** *** face *** *********, ** maybe **** ****** **** a ******* ** ********* *********-************** **************.

**** ***** ***** * search ** **** ***** instances ** * *******, but **** ** **** an ******* ** * common *** ****. ** could **** *** **** and ******* ********** ** the **** ***** *** transaction **. *** ******** transaction, *** *******. **** can **** ** **** in *** ***** ** you ***'* **** **-**** hardware, **** * ***** (~10 ***) **** ** the ****** **** **** new ***********, ** ********* like ****. *** *** also ** **** ****** multiple *****, ** ** theory ** *** **** a ***** ** **** you ***** ** ********** comparisons ****** *** ****** transactions ** * ****** to *** ** *** person ** ******** ******. Of ******, ** **** are ***** ** **** from ********* ********* *****, it ******'* **** ****** they *** ****** ******** in **** **** ** anti-fraud *********.

**** ** ** *****, this ** ******** *** indoor ***:

**** ****** ** ******** for ****** ********* **** as *** ***** *** other ****** ****** ********** within *****, **********, ****** stores, *******, ****** **** facilities *** ***** ************ where ******* *** ****** accurate ********* ** ******.

* *** **** ** outside **** ********** * corner ** *** ******** and ** ********** ******** my ******** *** ** dwell **** ** *** area ******* ******** ******** within ~**', ******* ** indoor ***********. *** ******** detector *** *** * presence ***** ** **** leaves ******* ****** ***** under ** ******.

** **** ***** ******* drywall......

** ****, ** *** test *****. **'* ***** RF, ** ** ***** penetrate **** ***-******** ********, though ***** ** ** obviously ***** ** ****** overall *****.

*** ** ****

*** ** *** ********* bleeding ******* **** **** as ************/*******, ******* ********* is ******* ** ***** false ******. **’* * great *******

*********** ************** ** *** tech.

****** *** *** ******* team!

* ********* ** * high ******** **** *** a ******** ******** ** an ******** ** ******* a *** **** ***** called ** * ****** floor **** ** *** secure ***** ** ******* was ******* ** *** cab.

* ***** *** **** being **** *** **** end **** **** ********* buildings ***** **** ******** floor *******.

*** *** *** **** of ********* & ******* has ******* ******* ** hit *** ******. *** of **** *** **** criminal ********** ** ***** start ** *** ***** new ****** ** ********.

Read this IPVM report for free.

This article is part of IPVM's 6,660 reports, 897 tests and is only available to members. To get a one-time preview of our work, enter your work email to access the full article.

Already a member? Login here | Join now
Loading Related Reports