Avigilon "Self-Learning" Analytics And VMD Tested

By: IPVM Team, Published on Jul 23, 2018

Avigilon is a popular choice for video analytics, offering "self-learning" analytics built into their cameras as well as appliances.

We tested their self-learning analytics indoors and out on Avigilon's H4 dome cameras, as well as their standard camera VMD, to see how it performs in real applications.

Inside, we look at:

  • Self-learning vs. calibration
  • False alert performance
  • Detection range
  • Analytics compared to camera VMD

Note that this is the first of our updated tests of Avigilon's analytic offerings. Tests of Appearance Search and Unusual Motion Detection will follow in upcoming reports.

This report continues our recent series of updated analytics tests. Readers should also see our tests of Axis Guard SuiteAxis VMD4Bosch IVADahua Intrusion AnalyticsHanwha Wisenet X Analytics, and Hikvision Intrusion Analytics.

******** ** ******** ****** *** ***** analytics, ******** "****-********" ********* built **** ************** **** ************.

** ****** ***** ****-******** analytics ******* *** *** on ********'* ** **** cameras, ** **** ** their ******** ****** ***, to *** *** ** performs ** **** ************.

******, ** **** **:

  • ****-******** **. ***********
  • ***** ***** ***********
  • ********* *****
  • ********* ******** ** ****** VMD

**** **** **** ** the ***** ** *** updated ***** ** ********'* analytic *********. ***** ************ ****** *** ******* Motion ************* ****** ** ******** reports.

**** ****** ********* *** recent ****** ** ******* analytics *****. ******* ****** also *** *** ***** of **** ***** ********* ********* ******** ********* *************** ******* * *********, *** ********* ********* *********.

[***************]

*******

** *** *****, ********'* ****-******** analytics worked **** **** **** properly **********, **** *** ** no ***** ******.

  • ** ***** ****** **** common *******: ******* *****, ***** animals, ***** *******, *** shadows did *** ***** ***** alerts ****** *******, ******* or ***.
  • ** ***** ****** **** rain: ******** ******* ****** from *** ********* ** rain, *-* ****** ******* from ***** ** *****, one ** *** **** common ******* ** ***** alarms ****** **** *********** analytics.
  • ***** *** ******** ** well *** ******: ** *** *******, ******** ******** ******** human ******** ** ~*-** PPF, ************* ****** **** most ****** *********, **** as ******, *********, *** Dahua (**-** *** ** average), *** ******* ** slightly ***** **** **** Guard ***** (~**-** ***) and *****'* *********** ** (~10 ***).

******** *** **** *** shortcomings ******:

  • ********* ******** ********* ***** * lux: ********* ******** ** ******** cameras ******* *********** ** low ***** ****** (lux), **** ~***' ******** at ***** ** *** 5MP *** ** ****** (7/10 ***, ************) ** ~55' (~**/** ***). ********* were **** ******* ** the *** *****, ******** to ~***', ********** *** required **** ~* ** 10.
  • *********** ***** ******** *** best ***********: ***** **** *** ****** "self ********", ********'* ********* require ****** ******* ** ***** the ***** (****** ** vehicles). **** ***** ** static ****** **** ****** or ******** *** *** normally *******, ***** **** see **** *********** ** manually ******* ** ******* through *** ***.
  • ******* *********** ****** ******** period:*********** ** ******* ** these ******* *** *** present ** *** ***** for *** ****** ** learn, **** ****** ** small ******* ****** ** *** testing ****** **** ******.

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

******** ****-******** ********* *** available ** **** **********'* *** ****** *******, ********* ***,****, ******, ***,*** ******(**/** ****), ***, *** thermal *******. ********* *** not ********* ** *** SL ******,** **** ****, ******* ********** ** *********** (****** **** *** ********** ***** ******** ********* multi ******).

Calibration / ****-******** *******

***** ********'* ********* *** self ********, **** ***** require ***** *********** ** order ** *********** ******* desired ******* (****** *** vehicles) *** ******** ******, such ** ***** *******. According ** ********, **** amounts ** ***** *** *********** ** *******, .

******** ************* *** *** require *** ****** *******/******* through *** ***** ** many ***** ***** ***** is ******* ********. *******, in **** ****** ******, such ** **********, **** fields, "** ***'* ****" areas, ***., ***** ******** are ****** ******* ***** normal *************, ******** *** take *****, **** *********** reduced ** *** ********.

*** *******, ***** ** calibration, *** ******* ******* a ********* *** * vehicle. ***** **** ******* calibration, ***** ******* **** reduced ** **********.

Solid ******* ***********

******** ********* ******* *********** was ************ ***** ********** testing, ******** *** ********* of ******* ***** / foliage ****** **** *** weeks ** *******, **** during **** **** ****, below.

********'* ********* **** ******* alarms **** ***** *******, another ****** ******* ** many *********** *********. **** that **** ******* ********* were ***** **** ** properly ********* (*** *****).

*******, ***** **** ***** analytics ********* ********** ** rain/droplets ** ****** *****, Avigilon *** *** ***** during *** ******* ** rain **** *** ****** of *******.

Indoor ***********

*******, *** ********* ******* false ****** **** ******* such ** ******* ***** changes, **** *****.

***** *******, **** ** light ******* ** ***** rooms *** ******** ******* on/off **** **** *******.

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

** *** *****, ****-******** analytics ****** ************ ********'* standard ****** ***, ***** Avigilon ***** "***** ****** Detection", ***** ******* ** practically *** ******** ** the *****, ********* ******* cars, ***** *****/*******, ***. Sensitivity *** ********* *** be ******** ** ****** these ******, *** **** caused * ***** ******* to ** ********** ****** walking ******* *** ***** (shown *****).

Detection ******** ******* ***** * ***

******** ********* ************ ******* on *** ******* ** ~7-11 *** ****** *** day *** ********* *** drastically ******* ****** ***** testing ** ~**-** *** which ******** ** *** following ***** ** **** widths / *********:

  • *.**-***-***-** (***/*:*): ~***' ****/~***' Distance ** ******** *** ~250' ****/~***' ******** ** night
  • *.*-***-***-** (***/*:*): ~***' ****/~***' Distance ** ******** *** ~90' ****/~**' ******** ** night
  • *.*-***-***-** (**/**:*): ~***' ****/~***' Distance ** ******** *** ~95' ****/~**' ******** ** night

********** **** ******* **** using **** ****** ** view, ****** ****** ** view, ******** ** ** and ***, **** ***** filtering ** *** ***, sensitivity *********, ***. ******** changes *** ** ********* effect ** **** ********* range.

** ******** ***** ********** with ******** ******** *********** who ********* **** **** either **** ********* ** brighter ****** (*.*. *** parking ****) ** ***** supplementary ********, **** ** external ** ************ ** additional ******* *****.

**** ******** ** ******** was *** ******* ** other ******* ******, ***** saw **** ****** ** moderate ********* ** ********, but *** ** ****** as ** **** ****. For *******, ****' ***** Suite ********* **** **** to ****** ** ************* the **** *** ****** *** *** night (************* **-** ***), as *** ***** *** (~10 ***). 

Only ********* **** ***

********'* ********* *** ********* when ***** ***** *** Avigilon ******* ****** ***, which ** ******** *** event *************. ***** ** no *** ********* *** event ***** *** *** camera ** ** ****** in **** ***** ****** analytics. ************, ******** **** not ********** ********* ***** analytics **** *** ***** party *****, ****** **** point *** **** **** use *** ***** ***** framework, ***** ** ********* to ****** ** ******* these ******** ******. *******, ACC ***** ***** ** required *** ************* ** ***** cases, ****** ******** ********* and ***** ***** *** an ******** ***********.

Versions ****

*** ********* ******** **** used ****** *******: 

  • *.*-***-***-**: *.**.*.**(*****)
  • *.**-***-***-**: *.**.*.**(*****)
  • ******** ******* ******: *.*.*.*

Comments (26)

**** ****** ** **** consistent **** *** ********.

** *** ****** ******** has *** **** ********* system *** *****.

*** **** ******** *** price *** *** ***** integration...

***** ****** ******.** ***** be *********** **** (* know ** ****** *****)** "test" *** *** ****** performs ***** ****** ***.** happens ** ********** ** the **** ** *** supervised ** **/* ***** that **** ****** ********** spiders *** ***** ***** web ** ******'* *****.********** in ****** **** *** that ***** **** *** hours ****** ******** ****** it. ****'* *** **** challenging ***** *** ********* especially ** ***** **** with ** ** *** i've ***** **** * camera ******* ******** ** false ****** ***** **** condition

**** *** *** ********** in *** ******** ********, I *** ******* **** spiders/ ****** **** ** combination **** ** *** wind *** *** **** any ******, ***** ** was ***** ******* ** detect ******* *** ********. The ****** **** *** a *.**-***-***-***-**. 

** **** * *** that ***** ** **** risk ** ******* *** insects, * ****** ********* to ** ********* ** install ******** ** ************ 50 ** ** * m **** **** *** camera, *** ** ****** use *** ****** ** turn ** ** ** bullet ******

**** * ***'* **** if **'* ******* **** we're ** *** *********** but ***** ******* ************ sooner ** ***** *** problems **** *******.*'* ****** choose *** ****** (**** for ****** *********** ******** to *******) *** ****'* a **** ****** (*********,*****,******* range ** ********,***. ***.)***** as ** ****** * personally ***** ***** ******'* body **** **** ******* spray (*** **** *** use ** **** **** out ** *** *****)...** works *** * ***** then ******** **** **** care...

**** **** * ***** idea.  ** **** **** problem *** * ***** though ** ****.  ** fact, * ***** **** make * ****** ***** like *** ***** **** you ***** *** ** the ****** **** ***** last **** ****** **** the ***** ***** ******* issues.  *****

**** **** ***** ** an ****...***** ***** ** but * ***** **** sun *** **** **** that ***** **** *** less ****** *** ***** day...spray ***** **** *** point ** *** ***'* put ** ** *** glass ** ***** ** the **** *** * think **** *** ***** of **** ***** *** over *** ****** ** just ****** ** **** the ******* ***** *** away...the **** **** **** my ***** ******** *** is * ********** ** automatic ***** * ***** that *** *** ****** with ****,******* *** **** small *********** ** *** control ***** **** ** usually ****** ***** ** ground *****...*** ***** ***** is ******* *** ** take **** ** * periodic *********** **** ** terms ** ******** **** you ***** *********** ** the *******

***** ********** ******,*** *****.

**** ** ********** ******* for ***** ********* ************ including ********.

**** *** **** ******** with ******* *** ****** webs **** ***** ****.

*** *** ******* **** the ** ********* **** below *** ****** *** you'll ********* **** ** not *** ** ***** problems.

 

*** *** * *** camera **** *** *** just **** *** *** IR ** *** ****** and **** *******?

**** * ******* ***** the *** ******/*** *** camera ***** ** *** even ************...* ** ** this ****** ***** ** years * ******* **** cameras ***** **** *** black *** ***** **** 300 ** *****. *'* personally ****** *** ****** on ***** **** ***** i ******* **** *** the ******** ** ***** a *** ****** **** separate ** *** **** is….box ******* **** **** outwon ** ******* *******.***** in **** ******** ************* end ******** ***** ***** the ************ ** * box ****** *** *** cameras *** ,*************,***** ***

***'* ***** **** ** use * ******** ** light **** *** **'* saying *** ** ***** the ******.  *** ******'* just **** *** ** and *** *** ***** another *** ** *** won't ******* *** ******* that ***** *** ** use *** ** ************* to ***** ****.

*****, * ******* *** adding * ******** ** unit *** * *****. 

******** ********* ******* ** be ******** *** *** fact **** ** ** compasses ***********/**** ******** ********, this ****** ** ***** tool *** ******** ***** alarms. **** *** ******* and ****** *********** ** the ***** ***** ***** are ***** ********** ** they *** ******.

***** *** *** **** interesting ******. * ****** of *********:

- *** *** ******* CPU **** ** ******** motion ******** *** **** algorithm (****** *** **** learning ******* *** ***** it)?

- **** ** ******* GPU ** ***?

*** ********* *** *** actual. *'** ****** **** this ******** ***** **-***** of *** ******.

***** ***********, ********!

*******!

**** * **** ******* of ******* ***** **** effective ******* ********* *********.

** **** ** ***** if *********** **** *** party ******** ****** ** transmit **** ****** ** server *** ******* ******* and ********* ****** ******* investigation.

*** ******* ******* ** that ****** ********* ** too **** *** ********** - ***** *** *********. If *** ******* *** provide **** ******* ******, than ******* ******!

* ***** **** ** see ******** ***** *** classification ** "*****", "*******" or "*****" ** ********* of *** ****. * run **** * ****** of ************ ***** ******** on "******* ** **************" are ***********. ******* **** a ****** ** ****, or **********, ***** *** damage ******** *** **** interesting ** **** *********.

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

*** **** ***** ******** camera (/* ****-******** ************) pricing ****** ********* ** legacy *** *******?

**** ** *** ******** a '****** *** ******'? Old ******* **** * few ***** ***? *** Dahua *** ********* ******* with ****** ********** ********* or?

*** ***** ** ***** on ***** ******* ******* any "********" ************. **** you *** **** ** almost ***** ************ ******.

******** ** ******* ***** run **** ***** $***-*,***, depending ** *** **********. That's ********* ****** *****, not ****** *****. 

*'* *** ****'* ****** comparable ** *** **** outdoor ***** **** ***** past, *** ** *** high *** ** ******* in ****. *** *******, you *** *** ******* ******* * *** dome**** ********* **** *** no ********* *** ~$***-***. But, ** *** **** at *** ******* * series,***** ******** *********, ******* ** **** comparable, ** *** $***-*** range.

*********'* * ****** *****, their ****** *** ******, are ******* **** ********* (~$*** *** *********** ***** *** **) *** ******* analytics (****** *********** ** ************ in **** ******). 

***** *** *****, **** helpfull?

***** , ***** **** helpfull!

*********** **** **** **** use, ***** ****** **** learning ************** ** ****.

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