Anyvision Facial Recognition Tested

By Ethan Ace and Rob Kilpatrick, Published on Aug 21, 2019

Anyvision is aiming for $1 billion in revenue by 2022, backed by $74 million in funding.

But does their performance live up to the hype they have built?

IPVM Image

We tested Anyvision's Better Tomorrow platform examining:

  • How does it perform in real world surveillance scenarios?
  • Does it false identify a person as a different person?
  • Does it miss faces walking through the scene?
  • Can it still recognize faces of people wearing sunglasses, hats, hoodies?
  • How does it perform at night in low light (~2 lux) or dark/IR (~0.02 lux)?
  • Does it detect anything other than human faces?
  • Is the user interface easy to navigate?
  • Does it integrate with major VMS systems?

*******

*********'* ******** ** ***** to ** **********, ********* as **** ***** ** possible ** *** ***** of ****. ** **** 30 **** ** *******, this ******** ****** ** have **** *********, **** reliable *********** ** ***** PPFs, ********* ******** *****, and ** ******* ******, with *** ***** ************.

*******, ** ******* **** a ***** ****** ** false ********** ** ********* objects **** ** ******, puddles, *****, ***., (****** these ******* **** *** recognized ** ********). ************, it ************* *********.

********, ********** ** ********* had *********** ********* ********, both **** *********'* *** Windows/Linux ******* ** **** as *********** ****** **** third ***** *****, ********* out-of-date ******** *** ***********.

Detailed ********* / *********** ********

***** ** *** *****, Anyvision's ****** ******** ****** recognition *** ******* *********:

  • *********** ** ***** **** than ******:** *** *****, ********* was **** ** ********** recognize ******** ** ~**-** PPF ** **** *** scenes, ***** ***** ******* than **** ***** *********, generally ********* *** *** or ****.
  • *** ***** ***************:****** **** **** * month ** *******, ********* incorrectly ********** ******** times ****** *** *******, using ***** ******* ********** threshold ** *.**, **** a **** ******** ** large ** ***, **** more **** *** ******** passing ** ***** ** these *******. *******, **** is * ***** ********** compared ** **** ************* in ******
  • *********** ** ********* ****** solid ** **** *** scenes:*********** ** **** *** scenes *** **** ********, able ** ******* ******** with **** ********** ****** (0.65+) **** **** **** vertical ******** >**° ***/** horizontal ***** ** ********* of ** ** **°, greater **** ***** ****** recognition ********* ** **** tested, ***** *********** ******** with **** ****** ********.
  • *********** ******** **** *******, hats, ** *****:****** *********** **** ** hats, **********, ** ******* reduced *********** ********** (** 0.03-0.07) *** ***** ******** recognition ** **** *** scenes, **** **** *********** downtilt. *****, *******, *** other **** ********* *********** stopped ********* *** *********** altogether.

******** ********* *** *********** had *** ********* ******:

  • **** ****** ** ********** of ***-***** *******:** *** *****, ********* detected ***-***** ******* ** faces *********, **** ** wheels, *********, *******, *** other *****, ********* ********* hundreds ** ***** *** day. ***** ********** **** never ********** ** ****** and ******** ******* *** be ******* ** *** UI, *** ***** *** still **** ***** ********** to ** ******* *** reduce ********** ** *** system ******* ********.
  • ** ******** *********:** *** *****, ******* photos ** * ****** of ******** ** ****** displayed ** ****** ******* could ** **** ** trigger *********** **** ********** nearly ** **** ** the ******* ********** ******** the *****.
  • ********* *********** ** *** light:** *** ***** (~* lux) ******, ********** ******* noticeably, **** *********** **** reliable ** *******, ****** angles.
  • ******** ****** ** ****/** scenes (~*.** ***):********* *** *********** **** able ** ****** *** recognize ******** **** **** directly ******** *** ******, using ******* ******, ** the **** **** ********** IR ** (~*.**). ******* angles ** ******** ******* down ****** ******** ****** misses.
  • ****** ********* ******* ***********:** *** *****, ***-*** models ********** ****** ************ of ******** ******* ****** backlight, ***** **** *** models ********* ********** ******* to ********, ****** *** scenes.

Significant ****** / *********** ********* ******

************, ***** **** **** key ********* ****** ** the ********* ****** *** its *** ************:

  • ******** ****** ** ******:*********'* ****** ** *** difficult ** ***, **** multiple ****** **********, **** as ******* ******, ************ terminology, ******* **** **** over ******* *****, ** elements ********* *** *** visible ****, ******* *********, and ****.
  • *** ************ *** ** date ********:*********** ****** ******** ** VMSes **** ** ********* or ******* ******** *** of **** ********. *** example, ** ****** ****, Anyvision ******** **** ********* XProtect **** ** *** 2018, **** **** ******* expected ** *** *** of *** *******. ************, Genetec ******** ****** *.* is *** **** ****** supported *******, ***** *** been ********** ** *.* since ***** ****.
  • **** ******** ******:** *******, ********* **** not ******** ***** ***** for ******* *********/***********, ********* in **-** ****** ****** prior ** ******* *****. There ** ** ****** to ************* ****** ****** for ******* *********, *** this ***** ****** ****** resources ** ****** ******* systems.
  • **** **** ******** ******:**** *********'* "**** ****" was ******* (******** ** blur ***** ***** **** the ****** ** ******** in *****), ******** *** download ** ***** ***** totally ******. ********* **** this ** ******** ** some ********* ***** ****** resources *** ******* *****, but ** ******** **** when **** *-* ******* were ***** ** *** server.
  • **** *********** ****/** *****:********* ********** ** ** cameras ***** **** *** does *** ******* ***** or *************.

******* ** ***** ******, and ***** ** *** discussions **** *********, ** is ****** **** *********'* technical **** ** ****** to ** ******* ******** in *** ************** ** properly ***** ***** *** address ***** ****** ** they *****.

*******

******** ** ****** ** $2,500 *** *** *******, not ********* *** **** of ****** ********. ************, NVidia **** *** ********, increasing **** ******** ** typical *******. *** *******, the ***** **** ********* in *** **** ****** sells *** **** ~$*,*** USD *** ******* ~* 1080p *******. ** ****** systems ***** ***** ***** add ** ******* ** multiple **** *** ****.

UI ********

*** ********* ** ** separated **** ******* ****:

  • ****: *** **** *** displays **********/************ ** **** occur, *** *** ** scrolled ** **** **** events. "****" ********** *** delayed ** *-** *******, depending ** ****** ********** load.
  • *********: *** ********* *** allows ***** ** ****** images, ****** ** ***** streams **** ***** ** integrated (*** *****) ** detect *** ********* ***** from ******* *******.
  • ******: ****** ****** ***** to **** ****** ** camera, ** *******, ** those ******** ** ******** image ****.
  • ***** ****: *** ***** list *** ** **** for ********** ** ***** lists, ***** *** ** manually ***** *** ** a ****, ** ****, or ******
  • ********: *******, *** ******** section ** **** *** adding/removing *******

** ****** *** ****** of *** ********* ****** in **** *****:

Configured ***** ********* ***************

***** **** ********* ***** an *********-******** ****** ***** their *********** ********. **** cameras **** **** ***** default ********, **** * threshold ** *.** *** recognition *** ******* **** size ** **. **** cameras **** ********* ** face ***** ** **-** to ******* *********** ******* as ***********.

***** ****** ***** *******, detection *** *********** ******* improved **********. ***** ******** were **** *** *** examples *****.

Relatively ***** ****** ****

** *** *****, ********* cameras ******** ***-*** ****** subjects **** *** ****** of **** **** * month ** *******, ********* 15+ **** ********* *** contractors, **+ ********* ** other ********** **** *** offices, *** ***+ ******** to ****** **********. *** known ******** **** ***** to *********'* *********, ***** with ***** ********* ******* from ***-*** ****** ****** of **** ********.

*******, ***** ********** *** relatively ***** ******** ** most ************ ********* ** likely ** ** ***********, such ** ******* **** several ******* ********, **** staff *** *******, ******* with ********* ** ********, and **** ******* **** thousands ** ****** ********. Results ** ****** *********** may ****, **** ***** recognition ****** **********.

Accurate ********* ** **** *** ******

** ***** ******* ******, Anyvision *********** *** *****, with **** ********** *********** of ********, **** ** this **** *** *****:

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**** **** ******** ****** down ** *** ***** or ***** *****, *********** was ***** **** **** this ********** *********.

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*******, ******** *********** ** outdoor **** ******* ****** were ************ **********, ******* shooting **** **** ****** toward *** ******* (******* at ~*' ******) *** with *** *** ************ the *****.

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Accurate *********** ** ***** **** ******* ***

** *** *****, ********* was **** ** ********** recognize ******** ** ~**-** PPF ** **** *** scenes, ***** ***** ******* than **** ***** *********, generally ********* *** *** or ****. *******, ********* and *********** ******** ******* decreased ** **** ***** conditions, ******** *****.

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Recognition **** **********/*****/****

**** ******* ****, *****, or *******, ********** *** reduced, *** *********** ***** possible ** **** *** scenes. ********** ********** ****** from ~*.** ******* * hood ** ~*.** ******* sunglasses.

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Scarves/Masks ***** *********

*******, ** *** ***** Anyvision *** ****** ** detect ***** **** ******** wore ***** **** *** lower **** ** ***** face, ********** ** ***** conditions ** ********.

No-Detection-When-Face-Below-Eyes-Obscured

No *********** >**° ***** ** *********

***** **** **** ****** detected *** ********** **** only ***** ** ********* was >**°, *********** ******* only **** ** *** subject's ****, *.*., * person ******* ****** *** scene. **** *** **** in *** ***** ****** and ********** ** ***** settings.

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Reduced *********** ** *** ***** / **** **** **

******** *********** *** ***** possible ** *** ***** settings (~***), ** *** not ******** *** ** the ********* ******* ***** in *** *****. ****** walking ******* *** ***** were ********** ** *** tilt ******/******* ******** ** the ****** *** ********** dropped ~*.** - *.** points ******** ** *** full ***** ********. *********** at ****** ****** ** incidence/downtilt ****** *** ** the ********** ******* ***** threshold.

** **** ****** **** IR ** (~*.** ***), detection ** ***** *** only ******** **** ******* downtilt *** ******** ******** walking ****** *** ******. Confidence ****** **** ~*.**-*.** lower **** ******* **********, greatly ********** *** ********** of ***** ***** *********.

Wide ******* ***** ******

**** ******* ** **** dynamic ****** **** ** the ***** **** ***** in *** ******* *****, true *** ******* **** consistently **** ** ********* subjects. *******, ***** ******* true *** ** ********** poorly ***** ****** ** recognize *** ** **** cases ******.

*** *******, *** ********** below *** ***** ** the **** **** **** a **** *** ****** and * ***-*** *****. The ***-*** *****'* ********** score ** ****** *.** lower **** *** **** WDR *****, ********* ** a ****.

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Few ***** ***************

****** **** **** * month ** *******, ***** identifications **** **** **** when ********* *********'* *************** and ***** ***** ******* confidence ******* ** *.**.

***** ************ **** **** common **** ********** **** harsher **** ****** (**** as ********* ****** *****), resulting ** ********** ********** scores (*.*** *****, ********* 0.55).

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Pictures ** ***** ******* ***** *********

** *** *****, ********* consistently ******** * ******* picture ** * ***** recognition ** * ****** when **** ** ***** of *** ****** ** placed **** ******* ******'* face, ***** *****.

*** ********** ***** ** these ************ *** ****, in *** ***** ** normal ********** ** *** actual ****** ** ******** in **** ***** (>*.**).

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**** ***** ***** ****, Anyvision ****** ************ ************ *** **** ** the *** **** *** surveillance *** ****:

*** ******* ** *** Better ******** ****** ** to ****** *** ********* all ***** ** *** FOV. *** ***** ***-***** like ****** *******, ** have ******* ******** ********* sensors **** *** ******** by **** ******** *** hardware ** ********* ** a ****** ******** ** front ** * ****** is **** ** * printed/casted *****.

***** ******* *** ********* not ********* ********* *** are ** *** **** some ******* *** ***** of *******. ********* ****** that ***** ******* **** be ********* "****."

Live **** ********* **** ***-***** *******

***-***** ******* **** ********** detected ** *****, ********* wheels, *****, *******, ****, mailboxes, *** ****. *******, these ******* **** ******** with *** ********** *** never ********** ** * subject ** *** *****.

********* ***** **** ***** lower ******** *** ********* faces ******* ***** ** be ******** ** **** difficult *********, **** *** trade-off **** ********* ***** will ** ******** ** inanimate *******.

********* ********** **** ********* objects ** ***** ** the ****** **** (** clicking * ****** ** the ********* ****), **************** ****** ********** ** the ****** (****** ** times ******* ***** *****).

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*******, ** **** *** prevent ******* ******* **** being ********, **** ** tires ** ****** **** different ********, *** **** it ****** **** ********* of *** ****** **** the **** ****, ** users **** ******** ****** every ******** ********.

UI ******

*************, *********'* ****** ** was ********* ** ***, with ******** ****** ******** at *** ***** ******, such ** ******* ******, inconsistent ***********, ******* **** tips **** ******* *****, UI ******** ********* *** the ******* ****, ******* functions, *** ****.

***** ********* *** ****** to ******* ******** ** an ********* *******, ***** issues *** ****** ** cause *********** ***** ********** users ** ***** *** to *** ******.

** **** ** **** of ***** ****** ** this *****:

Playback ****** ***** ******* ********

** *******, ********* **** not ******** ***** ***** for ******* *********/***********, ********* in **-** ****** ****** prior ** ******* *****. There ** ** ****** to ************* ****** ****** for ******* *********, *** this ***** ****** ****** resources ** ****** ******* systems.

** **** ** **** issue ** **** *****:

GDPR **** ******

********* ******** ** ****** for "**** ****", ** which ***** ** ******** other **** *** ****** of ******** *** ******* when *******/*********** *****. *******, we **** ****** ** test **** *******, ** our **** ****** (********* and ******** ** *********) would *** ****** ***** when **** **** *** enabled. *******, ***** ********* simply ******, **** **** error ******:

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Current *** ******* *********** *** *********

*** ** *********'* ******** to ** ****** ********* above ** ***** ***** VMS *********** ** ******** VMSes, ********* **********, *******, and ****. *******, ** were ****** ** **** these ******** ** ********* does *** ******* ******* versions.

** *** **** ** our **** ** ****** 2019, ********* ******** ********* XProtect **** ** *** 2018, *** **** *** yet ******* **** **/**. Additionally, ******* ******** ****** 5.7 ** *** **** recent ********* *******, ***** has **** ********** ***.* ***** ***** ****.

************, *** *** *********** is ******* *** ****** challenging *** **** *********** integrators. *** ********, *** Milestone *********** ******** ******** components **** ** *** XProtect ***** ******, ******, and ****, ***** *** not ***** ****.

RTSP *********** **** / ** *****

****** *********** ** ********* is ********* ***** **** streams ****. **** ** not ******* ***** ** any ********* *********. ***** must ***** *** **** stream ***, ********, *** password *** **** ******.

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Versions ****

********* *.** *** **** in *** *****.

******* *** ********* ***** cameras **** ********, ****, Bosch, ******, *** *********.

Comments (33)

** ****** ********* **** this **** ******. ** bosses **** ***** ********* with **, ** *** I *** * *** no ******** ********** **** Facial ***********.

** **** *** ***** five ********* ** *** watchlist, *** **** * series ** ***** ****** subjects (**, * *****?). Tried * *** ** identical **** *****. ** seemed ****** ********, ****** would ************ *** **** up. ** ** ******** I *****. ********* ***** flag **** ** ******* on *****, *** ** the ***** **** ** exit.

* **** * ******* beard, *** ***** * got *** **** ***** hits. ***** ** *** winter (*** ******* **** are ****) * *** of ****** **** ******* or *****. ** ****** like ********* ****** **** glasses *** ****** ******/***** beard *** ********** ** me. *** ** ** bosses *** ********** ****** all ********. *** * think ** ****** **** through **** ******** ** settings.

**'** ***** ***** ******* our **** **** *** slow ******** ******* *** ordering, *** ** ***** like *** ******* ** going ***** **** ******** for * **** ** our ****** ******.

**** ****!

*************, **** ** *****, I ********* **** *** lowest ********** ** ****** in *** ******. ***** people **** ****** **** but *** **** *** length * **. * usually *** *** ** about *.**-*.** **********. ***** people **** ******* **** and ***** ***** *** at *.** *** *****, and *'** **** **** of **** ** *.**+.

** *** *** **** for **. * ********* always *** *** ****** confidence. *** *** ***** hits **** ****** **** barely **** *** *********. I ***** ** *** point ** *** **** up ** *.**, *** we'd *** * ***** hit *** ** ** like *.**, ** **** 0.575

*************, **** ** *****, I ********* **** *** lowest ********** ** ****** in *** ******.

* ****** ******* **** beard ***** ******** ********** perception ;)

****** *** ******** ** "lowest **********" ****!

**** ***** ** *** week ******** *** **** a ******** *****

******* ****** *********** ****** you *** *** ******* is *** ********* ****** recognition ******.

***** ****, ****! ******* if ** **** *******, you ***** ******* *********'* claim ** ***** ******* that ** ***** ** "any ***** *** ** any ***** *********" *** that **'* "**** *** play"?

****, ******* ** **** IPVM's ******** ***** *** GUI ******* ******** ********* from ****'* ********** ** their *******.

******, *** ** *** think ***** ****** ********* from ****** **** ****** the *********** ** *********?

********* ******* *** ********** In ******* ****** *********** ‘Spying ** ************’

* ******'* *** ** works ** *** ********** *** ***** *********. Low ***** *** *** conditions *********** ******** ******** to ** ** * shallow ***** ** ***** to ********* ********. ***** harsher ******** *** ** a *** ** ****** in ***** **********. **** being ****, ** ** capable ** ******* ** harsher ****** *** ** lower ***** **** ****** we **** ****/******.

** ******** ***** ** that *** ******* ******* is ******** ** ****** Microsoft's *********** ** ***, but *'** ***** **** to ******* **** ************* in **** **********.

***** ****! ** ****** be ********* ********* ** the **** *** *****, and **** **** ********** help ** ** **********.

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

****** **** ************* ********** To ****** ************ ** The **** ****

****** **** ************* ********** To ****** ************ ** The **** **** : NPR

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

*** *** **** ******* how *** ** *** hardware ********* **** ********* cameras, ***********, *** *** setting ** *** ***** scenarios, ***/*****, ******/******* ****** and *** ********** **** views ** ******* ******** changes?

****: * **** *** got ** ***** ** Anyvision ** ** ***. Do **** **** **** streams *** **** ******? such ** ****** *********** or *** *********?

****** *** *** ********. /thumbsup!

** *** **** ****** for **. ** **** told *** ****** *** resolution *** ***** **** the **** ****** ** would ** ** *** system. *** **** *** with * ****** ******** by ****. ***** *********** specs **** ****** ****.

****** *** *** ***** UI#1, * ********* *** experienced **** **** *********** on * ******* *********** analytics ******.

**** *** *** "*** of *** ********" ** you **** ****** ********? Are *** ******* *** CPU ****?

** ***, * *** not *** *** **** change ** *********** ** the ****** ******** ***** on ******* ** **********. We ****** **** ********* framerates *** ****'* *** much ********** ** ****** handling, ****** ** *** not **** ** ** in *****.

*** ****** *** ******** by ********* ** ** wanted ** *** **** spec *** ******** ** its ************* *** *** a ***** ** **********. The *** ** *** server ** ** ****** 1080 ** *** ********* to ********* ** ****'* to ****** *-* *******, which **** ******* ** our *********** ** ***** or ***.

*********** ** *** ****. You *** *** ******* one ** * **** or *** ***, *** you **** ******** ***** the **** ****** *** credentials.

**'** ***** **** ** the ******, ****** *** asking!

***********!

***** ***!

***** ****** ***** *** very ******! * **** been ******* *** **** to ******* ******* ********* FacePro - ******* ** irrelevant ***-****** ******* *** all. *** ******* *** not *** **********. *******, FacePro *** *** ******* of *** ****** * bad ***... *****, *** not ***********. ** ***** flesh *** ******** *** and ********. ** *** down **** ** **** works **** ** *** Genetec *** ******** * very ******* *** ** Panasonic *******. *******, *** cost ** ********* ********* and ********** ************ *** greater. **** *** ****** is ****** */* *** price ** *********. ******* does **** * **** more ******* *** ** features ******** ** ********** advertisements.

**** ** *** ** ad *** ******* ** all ****** *********** ******** a ********* ***... ******* this ** **** *** all ********* ** ******* at **** *****. ********* makes **** **** ****** which * *** ********** to *** ****** ** a ********* ***** *****.

**** * *** ****** of ******** ***** ** the ******* ** **** done **** *********:

... ** *** ***** Anyvision *** ****** ** detect ***** **** ******** wore ***** **** *** lower **** ** ***** face, ********** ** ***** conditions ** ********.

** ***** **** ****** the **** ******* ****** to ** ***. **** the **** *******, ** detections. ***, ** ***** cover *** ***** *** chin *** ** ***** work, ** ***** *** eyes *** ******** *** it ***** ****.

...*** **** ****** (********* and ******** ** *********) would *** ****** ***** when **** **** *** enabled.

** **** *** *********** this *****. *** ****** operates ****** **** **** mode ** ******* (***** can ** **** ** the ***), *** ** has ****** ******** *** us.

** ***** ****** ************ were ******* ** ** added ****** ******* ********* images *** ********. ***** clear, **** *** ****** taken **** ****** ** from ****** ***** ** reference ****** ******** ****** results ** **** ********* circumstances **** ********* ** image **** *** ** and ******** * ******* based ****** ****. ******** can **** ******** ********* images, ** *** ***** start **** * **** face ******* ** *** system *** *** ****** images ** **** ****** available. (****** ******* ********* of *** ** ** that **** ***** *** several ********* ****** *** a ****** *******, ***** appears ** ** ** way ** *** *** ones **** ***'* *** on *** ******.)

* ***** * ******** the ********* ******** ****** something ***** **** ** have * **** **** quality *******, ** *** said **** **** ****** media ** ***** **** a ****** **** ****, and **** ** ***** one ******* **** *** on ******* ******.

** *** ****, ** had *** ******** *** we *** ** *** system *** * ******* from * **** *****, and **** **** ***** a ******* **** *** entrance ****** *** ** always *** *** ****** capture ****. **** **** head ******, ******* ** phone, ******* * ***, so ** *** ** forth.

* ** ***** **** the ** ****, ** way ** ****** ***** reference ****** ******. **** all **** **** ** build **. * **** they ****** ****. **** we *** *** **** the **** *** ** remove * ********* ***** was ** ****** *** subject *** **-******.

******** **** ***** ******* FR ******* ** ****, i.e.*****************************(*** ****** ******** *********). I ****** **** *** open ****** *** **** is ** **** ** anything, *** ******* ********** ****** ***** ** serviceable.

**** *** **** ****** for **** ** ** good ** ********

* ***'* **** *** even ** *** **** source *** ** ****, a *** ** *** premium **** ****** *** is *** * ******* solution. ** ***** ** open ****** *** ** simply ****** ***** ** good ** ******* *** Milestone? ***** *** ***** is * *** ** value ** ****** ** easy ** ***, ********** with ******** ********, ****** on ***************, ***.

* ***** ****, **** I *** ******** ****** is * ******** ** FR **********, *********** * "retail" *****, ** *** an **/********* ******, * was *** ******* ***** video ************. ** *** a ************ ** *** oft ****** ***** ** better **/*********.

** **** ***** ** impacts ******* *************** ** a **** ***. ** (when * *** ******** FR ** * ******** life) **** ** ******* on ********* (************, ***** processing ************) *** ********** ( ****** ****** *** correlation), **** ** ******* towards ********* . ***** makes *****, ** ** should **** **** ** usability, *******, ******** *** interoperability *** *** *** and ******* ******** *** the ****.

***** ***** *****, **** is ** ******* **** recent **** ******** ** an ******* ***** ****-****** shifts *** ***** ** development.

Using ********** **** ****** ****** ********

****** **** **** *** not ******* ***** *** neural ********, *** ******* use ****-****** ********* (*.*. YOLOv3, ****** *-***). **** said ***** ********* *** able ** ****** * weapon ****** ***** ** being **** ** ******, at ~**'/*** *** ~*****. They ***** ***** ********/******** detection ** ******* *** behavior ******** *** ** not ***** **** *********, claiming **** *** *** resources *** ************* ****** for ****.

******* ***** ****-****** ****** the ***** ** ***********

** **** ****** ** a ****** ** ** startups ***** **** ****** models. *** ******** ** how **** ******** / modifying **** ****** ****** can ** ** **** proprietary *******. *** *******, the *********** **** ********* YOLO, * **** ******* open ******* ** ****** detector **** ******* * company,****, **** ** ********* proprietary ********, ***** **** claim ** *** **** efficient. ** *** ******* on * ******* ***** them ** ****.

***, ********** *****, *** others *** ***** *** tech ** ****. ** use ***** * *** open ****** ***** **** Eidola *** *** ***** is **** ** *** in ***** ** *********, reporting, *** ********* ************* and *********** *'* **** to ***** *** **********. I ***** ** *********** comparison ** *** ************* leverage **** ********** **. researchers. ******* **** ******** open ****** ** ** something ** ******* *** understanding ** *** ***** of *** ****. **** the ********** ** ****** AI ** **** ** be ****** ***********, ****** engineering, ******* *** *** like? *********** ***** *** thanks *** ********.

***, ********** *****, *** others *** ***** *** tech ** ****. ** use ***** * *** open ****** ***** **** Eidola *** *** ***** is **** ** *** in ***** ** *********, reporting, *** ********* ************* and *********** *'* **** to ***** *** **********. I ***** ** *********** comparison ** *** ************* leverage **** ********** **. researchers. ******* **** ******** open ****** ** ** something ** ******* *** understanding ** *** ***** of *** ****. **** the ********** ** ****** AI ** **** ** be ****** ***********, ****** engineering, ******* *** *** like? *********** ***** *** thanks *** ********.

********* ** ******* **** they *** **** **** 30 ******* *** *** - **** ** *** away **** **** **** results **** *** ******* - *** *** ******* this?

** ***** ********* ***** about ***** *********** **** BVMS - **** *** a **** ******** **** AnyVision.

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

  1. ** *** *** ** video ******* ***** ********** GPUs **** **** ** our ********* **** ********, and ** ******* ** the ********* ***** ** analytics *** ***** **** to *** ** **** of *** *******. **** testing *** ********* ** a ** "*** *** shelf" ******** (**** ** offer *** **** *** demos) **** *** **** to *** * *******, much **** ** ******** on * ****-******* ******.
  2. ** **** **** *********** with ****.

***** ** *********** ** what ** ********* *** how **'* *** ** in *************/**** ***** *****(*** ****), *** ****** in *** *** ** screenshots ** ***'** ****** to **** *** ******** to **** ** ***** like ** ****.

***** **** *** ********* the **** ******* ******** that ** *** **** we ****** ** **** year. **'* ** ************* that *** *** *** and ******* *** ** supposed ** ******** ****.

** **** * **** on **'* ********** *** use.... ******* ** ***** AV ** **** * face *** ******, ** are ********* ** ** an "************ ******" ****** as ** ******* ** standard ****** ******* *******. AV *** ******* ************ with ******* ****** ******* systems (********, *******, ******** House, ***..) **** **** pass ******** **** "****" to *** ****** ******* system ** *****/**** ******. After * ****** ******** and **** ******, *** systems **** ****** **** reliable. ** **** ******** AV ** *****, **********, and ******* ***** *** the ********* ********** **** it!

** **** ******** ** on *****, **********, *** parking ***** *** *** customers ********** **** **!

****, ****** *** *** feedback! *** ***** ** someone ****** ********? **** or ** ** ** rare **** ** ** not ** *****?

** ****,

*** *** ***** *********'* Better ******** ******** *** the "********-**** ******" *********** you ********* ** *********'* Abraxas ********? ** *** can *****, * ***** like ** **** **** VMS *** *** ***** this ****.

******,
** *****

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