Alarm.com "AI" Video Analytics Tested

By Brian Rhodes, Published on Nov 30, 2018

Alarm.com has announced what it calls an "artificial intelligence (AI) architecture and video analytics service", touting that

Alarm.com's computer vision research team trained the AI engine with millions of frames of video donated from field-deployed cameras, and extensive feedback from service provider partners and beta program participants.

Indeed, this follows Alarm.com's 2017 acquisition of Object Video, the original, but much-maligned, video surveillance analytics provider.

How good is Alarm.com's "AI" Engine? We own an Alarm.com system (tested here), connected a supported camera, enabled the "AI" analytics and tested the system.

tested 2

In this report, we share our results including:

  • Analytic performance rankings
  • False alert resistance versus foliage, shadows, animals, lights, and more
  • Detection distances/PPF levels
  • Configuration/zone creation for each
  • How pricing compares, for cameras and cloud service

Key ********

*** ******* ****** **** the ****** *** ******* decent ******** ** ************ VMD *** *** ****** that ***********, ********* **** 2 **** ******:

  1. *** ****** *** ****** restrictive / *********** ************ 'recommendations', **** ******* ** - **° ********.
  2. **** **** *** ******** recommendation, ***** **** ***** false ********* (*.*., ****** being *********** **** ** people **** *******).
  3. *******, *** ********* *** restrictive ******** **************, *** false ********* **** **** more ***********.

**** *****, ******** ** conventional ***, ******* ***** alerts **** *****.

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

** *** *******, *****.***'* Video ****** ********* (***** Analytics) *** ********* ********* in ******** ****** ***** alerts ****** ** ******* foliage, ****** ******, *****, insects, *******, *** ****** which ********** ********* ************** ********* ** *** testing.

********** *** *********** *** customers, ***** *** ***** Analytics ****** **** *** down ** *** **** 'false *****' ******. *******, it *** ******* *** reliable ****** ** ********* all ******.

Classification ******

*** ******* ******** *********** is *** ******** ***-***-****, even **** ******* *** installed ********* ** *************. Some *******/****** **** ***** to ** **** ****** inaccurate **** ******. *** example, *** ****** ******** often ******** *** ******* 'people' ** *** **** scene ** ********:

** ******* ** ***** events, ** ****** **** present, ******* *** *****. The ******** ** ** LP-Natural **** *** *****, in *********** **** * moving *******, ***** ******** in *** ****** ********* the *** ***** ******** as * '******':

** ***** *****, *** system ****** ****** *** animals ********, ** ** this *****:

not all people animals detected

****** *** ********** ** the *** **** * person ******* ** ** classification ****.

Small ****** *********

*** **** ***** ******** the '******' ************** ** working. *** ****** *** not **** ** ****** and ****** ****** ******** accurately (** **** *********, dogs *** *******), *** the ****** *** *** classify *** ******** ** 'animal' ********* ** *** way ** ******* ****** and ********.

*** **** ***** ** an ******* ** ********, but *** **********, ****** movement:

********** *********** ***** ****** may ***** ********* ********, especially ** ***** *** rules ** ****** *** general ****** ****** **** a **** *****-***** ***********, but ******* ******* ****** to ***** ** ******* or **** **** *** be ********* ** **** that **** ****** *****.

** ***** *****, *** zone ****** ********* *** have ** ** *** as **** ** **** 'fast' ***** ***** ** 0.5 ******* ** **** an ***** ** ****** small ** ****-****** *******, but ***** ******** *** also ************* ******** ******** alarms ** *** **** time.

Steep ******** *********

****** **** *** ******** analytic ****** ** ******, Alarm.com *** *********** *********** requirements ** **-**° ********, mounted ** ***** * feet **** *** ** coverage ****** **' ** night:

steep downtilt setup recommendation

*** *********** ** ***** makes ** ***** *********** in *** ** *** be ***** *** *** far ** *** *****, even ******** ***** ** consumer *********.

Nonconformance ********* ******

******* *** ****** ** be *** ** **** shallower *********, ******** **-**° for ****** *** ** users ** ********** *** familiar **** ***'* **************.

*******, ** **** *****, we *********** ***** ******** errors ** * ******. For *******, ** **** case * ******* *** not ********** ** ** approached *** ******, *** was ********** ******** ***** the **** ** ** was *******:

**** **** ***** ******* was ******* ** ** activity ***** ** *** system, *** ********* *** clip ***** ** *********** movement ** *** ****** at ***:

***** ******** ******** ****** did *** ******* **** adjusted ** *** ******** specification *********** ** ***, but ***** ******** ***** are *** ***** ** highlighted ** ********* ********* during *****.

Rain/Snow ********* ******

** **** *** *** tested **** *** **** to *** **** ****** that ******. ** ****** to *** **** ** the **** ****** *** will **** ** ****** in *** ******.

******: **** ***********

***** * ~* **** period ** ****** **** in ******* *** *****, our **** *** *** record *** ***** ******** or ******** ****** ** classification.

Detection *********

*** ******* ************ ******** objects ********** ** *** levels ***** **** ********* in *** ***** *****. For *******, *** ***** disclaims ****** ********* ****** 25' ** *** *** 15' ** *****, *** the ****** ********* ****** at **** ** ***** ranges.

*** ***** ***** ***** ~50' ************** ** * vehicle ** ******* *****:

Good *** **********

******* ****** ******* ** VMD **** ***'* ********* overcomes ** ****** ********** due ** ****** *******, leaves, *** *******. *** ADC ****** *** *** trigger ********** ** **** nuisance ************* ** *** point ****** *** ****.

**** ** ** ******* clip ******* ****** ******** that ***** ******* *** but *** *** ***** Analytics *****:

Motion/Analytic *************

** ******, *** ** offering *** ********* *****, a ***- ** ************* 'tripwire' ** * '****** zone' **** ******* **** objects ***** ****-******* *****:

** ******** ** *** rules, ***** *** ********* assign *** **** ******* must ** ** ********* of *** **** ****** an ***** ** ****, or **** ** ***** arm/disarm ****** ** **** of *** ********** ********. The ******** **** ****** assigning ** ***** ** objects ***** ** *** direction ** *** *****.

*** '****** ****', *** detection **** ***** ** flexible *** *********** ****** scenes ******* *********** ********* areas:

Camera *********

*****.*** ****** ~* ***** camera ******, *** **** 2 ** **** *** supported ** ***** ** analytics, *** ****** ***** w/IR (***-******) ********* ******** (***-*****). ** ****** *** (Vivotek ***'*) ******* ****, shown ** *** *****.

Camera/Service *******

*** *** ******* ******* a ******* ************ ** order ** ******* ********/***** alerts ***/** **** ***** video. ****** ******* ** ~$1 **** *** ***** added ** *** ~$*/*** four ******* '***' ***** plan ** ******** *** AI *********. *** ********* package **** **** ******** clips, ******** *** ***** to *,*** *** * cameras ** **** *,***. Camera ****** *** ~$*** for ***-*****.

Versus ******/****

****'* ********* **** **** accurate **** *****.*** *** does *** ********* **** installation ************. ***** ****** detection ********* ** *** require * ************ ** receive ******. *******, ***** video ******** ** *********** without ***** ***** ************, ******* **** $*/***** per ****** (* ****) through $**/***** *** ** days. *** **** ******* IQ ** ***************** **** **** *** $349.

Versus ****

*******'* ****** ********* *** more ***** ****** *** require **** ****** ******** distances/higher *** **** ***. Arlo ****** ********* ********* require * ************ ****** *****, ******** ** $*.** per ******, ********* * days *******, *** ** to $**.** *** ** days *******. **** ******* and **** ******* ***** at $*** *** *** original**** ****** $*** *** ******** **** *

Versus ******/****

** *******, ***'* ********* are ****** ********** **** Amazon/Ring, *** ******* ***** quality *** **** ** not **** *** ***** made ***** ** ******* WiFi.

****'* "******** ****** *********" motion ********* **** *** require * ************ *** motion ******, ******** * subscription ** ****** ** view ******** ***** ******** at $* *** *****.**** ********* ********** *** $*** *** can ** ********* **** the **** *******.

Comments (13)

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

******* **** ** ** more ******** *** ************ about ***** "**" ** marketing, ** ******** *********** like **** ** ***** to ********** *** ********* *** confidence ** "**" *********.

** *** *** ****, since ******* ******** ** generally ********** **** ** AI *** ****** *****.*** is ***** **** **** of ******* ********, **** could *********** **** *** case **** ** ** "AI".

*** ******* ** **** most ****** ****** "**" to **, ****, *********** or ** ***** ** intelligent ** * *-****-***. For $* * *****, this ** *** * bad ******** *** **'* not **** ****** ** be ******* *** **** accuracy ** ** ** marketed ** "**".

*** *********** ****** ** the '**' ************** ** that '********' ** ****** coarse *** **** ******* without **** **********.

***** ***, ** ***** learning ******* ** *** video ** ******** **** ADC's ***** *** ** opt-in ******* *******:

*****.*** ********* ** ** in * **** **** plan ** *** * self-reporting ******* ******** ***** to **** *********** ********** objects.

*** ******** **** *** currently **** **** ** any ****** ** ******** 'teach' ** '*****' *** system ***** ** **** feedback.

***** ***, ** ***** learning ******* ** *** video ** ******** **** ADC's ***** *** ** opt-in ******* *******...*** ******** does *** ********* **** this ** *** ****** to ******** '*****' ** 'learn' *** ****** ***** on **** ********.

******* ********, ****/*** *** it ***** **** **** the ***** ***********?

*** **** ******** ** general *****, **** ***** 'internal *******' ******* *******.  The ******* **** *** describe ******* ******* ******** is *********, ***** **** checking, ** **** ***** refinement ******.

********* ****** *****! ****** for ***** ****, ** saved ** * ******* amount ** ****.

****** *** *** ******** report.  ****** ****** **** you **** **** ******* a **** ****.  ****'* going ** ** *** real ****.

** *** **** * rough **** ** *** number ** ***** *** get ** * ******* day?  *** **** **** the ********** **** ****/***** recommendation **** *** **** up?  **** ***** /**= 33 ***** *** *** or *.* ***** *** hour.  ***** ******** *** would ** **** ** have **** **** **** clips *** *****.

*'* ********* ***** ******** now.  ** ***** **** our ****** **** ****** averages ** ***** *** day (*=* ****, *** clips).

************* **** ***, ** clips/day * ** **** = *** *****/*****.

*******, *** **** ****** was ******* ** * fairly ***** ********.  * busy *****, **** * residential ***, ***** ****** 1000 *****/* *** ******.

 

*******-********** ** ** ****:*** ******

***** = */**

******: **** *********** (***** above ** ******)

***** * ~* **** period ** ****** **** in ******* *** *****, our **** *** *** record *** ***** ******** or ******** ****** ** classification.

...*** **** *** *** record *** ***** ******** or ******** ****** ** classification.

*** ** **** ****** ;)

****** ****, *****'* *** possibility **** ****** ** already ** *******'* *******...

**** ***** ********** *** video

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