Avigilon H5A Analytic Cameras Tested

******** *** ******** ****** ******** *******, ******** ** "****** more ******* **** ******* accuracy **** ** ******* scenes."

** ****** *** ***** and ** ****** ** the *** **** ** see *** **** ******* compared ** *** *** line ** ******** *******, tested ** *** ************** "****-********" ********* *** VMD ******.

******, ** ****** *** following *********:

• *** **** ** **** perform ******* ****** ******* false ***** ******* **** as ****, *******, *** foliage?
• *** ***** *** ******* classification ********?
• **** ********/*** ***** ** required *** *********?
• *** ** ***** ******* in ***, *****, *** low ***** ******* ** H4?
• *** **** *** *********** compare?
• *** **** ** **** integrate **** ***** ***** VMSes?

****: ********** ****** ******: This **** ****** *********** analytics *** ***** *******. We **** ** ********* our ******** **********'* ********** ****** *** UMD** ** ******** ******.

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

*******

***** ** *** *****, Avigilon's ** **** *** several *********:

• ****** ***** ***** *********:****** ******* ** ******/******* false ****** **** ******* such ** ******* *******, small/large *******, ***** ****, drastic ***** *******, *** shadows ** *** *****.
• **** ******** *********:** *** *****, *** H5 ******* ******** **** ~9-10 *** *** ********* of ******, *** ** the ****** ************ ** analytics ** **** ****** (*** *** ********). ****** **** ******** at **** ***' ******** in * **°+ ***** of **** ***** *** 4K ** ******.
• ******** ***** ******* ******** To **:******** ** ******** ** models, *** ** ******* produce ****** ******* ** all ******, *** *** night.
• **** ** ************:*** **'* ********** ** illuminator ****** *** *** scene, ********* ***** ***** on ******** ** *** scene.
• ***** ******* ***:** *******' **** ******* performance *** ****** **** average (*** *** *** Mega ********), ******** ******** to ** ****** ***** were ******* ** ***** in *** *****.

*******, ***** **** * few *********, ** ****:

• ***** ****** ** ****** Vehicles:****** ******** ** *** scene ********** ********* ******** alerts, **** ***** **** stopped ******, ******* ******* alerts. ******** **** **** issue ****** ** ***** in ******** ********.
• **** ***** *** ***** Performance (~* ***):**** ** ******* ******** weak ******* ** *** light (~* ***) *** to **** ****** ** digital *****. ****** **** brighter **** *** ** cameras ****** (**** *****) though **** *** *** deliver **** ****** ******.
• ****** **** ******* ********:** ***** ***** *.*** bitrates **** **** ******** to *********** ******, **** 4-5 **/* *** *** 4K ******. ** ********, competitors' ***** ***** ******** were ********** ***** * Mb/s.

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

********'* ** ****-******** ********* outperformed ***** ****** ********* we **** ******, **** false ***** ********* ******* to*****'* *********+ ****************'* ***** ****** *********, *** *** ********** in *** *****.

*******, ******** *** **** to ******** ********* ******* and ******** ********, ** issue *** ******* ***** analytics. ************, ** *** not *********** ******** ** animals ** ****** ** vice *****.

*** **** *********** ********* issue ** ***** *** the ********* ** ********** vehicles, ***** ******** **** will ** ******** ** firmware **** **** (** will **** *** ****** when *********).

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

*** ** *******' ********* were **** ** ********** detect *** ******** ******** objects ** **** ****** with ******** ***** ********** simultaneously, ***** ** ****** analytics ****** ******* ********.

*** *******, ** *** image *****, ****** ** bikes *** ********* ********** (both ****** *** ****) along **** ******** ******** in *** ***** **** objects ***********:

**** **** ***** ******** are ********* ******* **** vehicle ********* *** ****/***** use, *** *** ** specifically ******** *** *************** ******. ******** **** **** plan ** ********* ***** object ******* ** **** analytics ** ****** ******** but **** *** **** a **** **** **** might ** *********.

Main ******** ***** — ******** ****** ** ****** ********

** *** *******, ****** vehicles ** *** ***** frequently ********* ******. **** means **** ***** ******** regularly ********* ****-**** ****** using *******'* ******* ********, as *** ****** *** near ********** ******** ***** parked ** *** ******'* field ** ****. ***** alerts ***** *** ** completely ******* **** ******** changes, ****** **** ***** be *******.

******** ************ **** **** is * *********** **** the ******* ******** ******* and **** ** ********* a *** ******** **** fixes ****** ** ****** vehicles.

Accurate ****** ********* – ******* *** ******** ********

****** *******, ****** **** not ****** ******* ******* or ******* ******* *** scene **** *** *** night.

Partially ******** ******** *******

******** ** ********* **** detected *** ******* ******** behind ******* **** ********* obscured ***** **********, **** as *** ******* *****.

Common ******* ** ***** ****** *******

********** **** * **** of ******* *** ****** sources ** ******/******* ***** alarms **** *******, ********* those ***** ********* **** other *********, **** ** heavy **** ** *** scene/raindrops ** ***** ** the ****, **** *****.

** **** ** ***** and ***** *******, ***** here:

*******, ****** ******* *** shadows ********* ** ***** alerts ** *** *****.

Faster ********* *******, *********** ******* ** *****

******** ****** **** ***** H5 ********* ****** ******* faster **** **, ********** detection ** "****** *********." However, ** *** ***** we ***** ******* ********** in ***** ******* ** and **, ** **** 100-200ms. **** *** **** a ********* ********** ** some **** *****, *** in *** ***** **** H4 *** ** ******* detected ******* *******, **** vehicles ****** ** ~**-** miles *** ****.

Nighttime ********* ******* ********

**** *** ******** *.*-***-***-** and *** *.*-***-***-** ******** people ** ~*-* ***, which ******** ** * ~210' ********* ******** ** the *.*-***-***-** *** * ~115' ********* ******** ** the *.*-***-***-** ** **** day *** *****.

**** ** * *********** improvement **** *** ******* which *********** ******* ********* distance ** *****, ********* ~25+ *** *** *********.

Image ******* ************ ******** ** **

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

*** *******, ** ******* images (~*** ***) ** near *****, *** *** 4K ****** ******** ******* details ** *** ******* than *** ********** **, which ******* **** *** somewhat ****.

** ****** *****, ** the ** ** ******, the *******'* ****** ******* are ******* *******, *** his **** ******* ******* by ********* ** *** H4.

Improved ****/** *********** (~*.** ***)

** ****** ********** ** performance ** * **** (~0.02 ***) ****, ***** here. *** ** *******' illumination *** **** ****** the ***** ** ****, with ************ **** ** very **** ***** (distance), ********* *****.

**** *** ******* ***********, the ****** ****** ******** and ** ***** ** compensate, **** ** ************ until *** ******* ******* very ***** ***** (~*' distance).

** ** ******* *** much ******** **** *** H4 *****, **** ***** subject ******* *** **** exposure ** *** *****. The ** ****** **** not **** *** **** detail ** *** ******* at ***, *** ** high ****** ** ******* noise. *** ***** ** camera ******** ****** ******* of *** ******* ** this *****.

** ~**' ********, *** H4 ******'* ***** ** more ********** ***** ***** details *** ***** ******* in **** ** ******.

*******, ** ~**', *** subject ** ****** ********** in *** ** ******, but ***** ******* ******* in **** **'*.

Weak ***** *** ***** ***********

***** ****/** *********** ** solid, *** ** ****** produced **** ***** ******* in * ~* *** scene, **** ***** *** artifacts ******** *******.

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

** ****** *** *********** against ** ******** *** door, **** ******* *** ~2,500 *** ******** *** ~100.

** **** *****, *** H5 ******* ******* *********, with ***** ******* ** the ******* ******* *** backlit **** ***** ****** are ********** ****** ** the ********, ****** ***** recognizable. **** ******* ********** the ** ** ****** which *********** *** ********** and ***** ******* ******* of *** *******.

** ******, *** ******* are ****** *** ******* as *** ******* ***** the ****, *** ******* usable ******* ** *** subject ** ** ******.

Bandwidth **********

** ******** **** ****** than ******* ******** ** other ** ****** ** have ******, **** ******* birates **** * **/* common *** ****** * Mb/s ******* ** ***** with ** **. ** contrast

***** ************ **** ***** with ********'* **** ***** codec ** ***** ******* settings.

Camera/Analytics ***********

** *******' *.*** ****** was ****** **** ** Avigilon ******* ****** *** Genetec ******** ******, ****** H.264 ****** ******* ****** in *** ***** ******. In *** *****, ********'* analytics ********** **** *********, Genetec, *** ***** *** Avigilon ******* ******.

****: (**** **** "****** **" these ****** ** ***** parties *** ******* *).

Installation ********

*** ** ******* ******* two ***** ************ ********. First, **** ******* * mounting **** **** ** integrated ***** ***** ****** the ****** ** ** hung ***** *********** *** made, ******* ** **********' hands.

******, *** ******* ******* a ******-******* *** **** that ******* * ******** adapter. ********** *** ******* to **** ******** ******* to *** *** ***** the ****** ***** *** camera ******** ***** *** PoE. ** ****** ******** a ******* *******, ****** in*** ******* **** ********.

** ****** ***** ******** in **** *****:

Size **********

*** ******** ** ******* are ******** ******* **** some *********** ******, **** as *** ****** * series ** ********* ***** series ******* ***** ****.

H5 *******

*** ** ** ****** has ** ********* ****** price ** ~$*,***-*,*** *** based ** **** *** typical ******. **** ** similar ** ******** ****** than ***** ******* ** models, **** ** ******** ********* *********** *****-***(**** ~$*,***).

********* ****** ***** ** the ** ***** ****** is ~$***-*** ***, ***** than **** *********** ******, such ** ******* *****-***(~$***-*,*** ******) ******* ********* *****(~$*,*** ******).

Made ** ******

**** ** ******* **** made ** ********'* ******** facilities:

Test **********

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

• *.*** *** ****
• **** ********** *** ******* (15 ***, **** ******** Interval: ***, ********** *******: 14)
• ******** ** ************ *** enabled
• **** ******* ***** *** enabled

*** ********* ******** *** software ******** **** **** in **** ****:

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

Note: ********** ****** ******

**** **** ****** *********** analytics *** ***** *******. We **** ** ********* our ******** **********'* ********** ****** *** UMD** ** ******** ******.