Hanwha Wisenet 7 Cameras Tested

By Rob Kilpatrick and Derek Ward, Published Nov 25, 2020, 07:47am EST

Hanwha has released their next generation Wisenet 7 cameras claiming "exceptional" resolution, "extreme" WDR, and advanced noise reduction. But how does this new series perform compared to their past generation models and competitors?

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We bought and tested the XNV-9082R and XNO-9082R, examining:

  • How does image quality compare in full light (~200 lux), low light (~1-2 lux) and WDR scenes?
  • Are noise and/or blur issues in low light scenes?
  • How well do Hanwha's new face/upper body analytics work and how do they compare to typical face or people detection?
  • How well does the camera integrate with VMSes?
  • How does bandwidth compare day and night?

*******

** *** *****, ******'* Wisenet * ******* ******** slight ** ******** *********** increases ******** ** ******** X *** * ****** models, **** *** ***** details ********** ********, **** IR ******** ******* ************, and ***** ******** ** all ******.

************, ******* * ******** features **** ** * tool-free ******** ****** ****** and **-** ************ ***** we ***** ***** ************ in ***** ****** ************** ********.

*** ******** ****/***** ********* analytics ********* ****** **** Hanwha's ****-********** ********* ********* (also ******** ** ******* 7 *******), **** ** false ****** ** ******* or *******, *** ***** alerts **** ********* ** animals *** ******* ****** and ****, ****** *** seen ** ***** ******-*********** ****** ** *********.

Compared ** ****

******'* ******* * ******* are *********** **** ****' high *** *** ******, with ******* ** ******** lower *******, ******* ******* in ******* *** ****/** scenes, *** **** ********* a ******* ****** (**** uses * ****-** ****** vs. ******'* ******** ******).

*******, *** **** *** did *** ****** **** motion **** ** *** light ** **** ** the ******* *, *** produced ********** ****** *** details.

Compared ** *********

******* * ********* ****** than *********'* ***** ****** in *** ******, **** especially ******** ***** ******* in *** ***** *** WDR ******. *******, ********* is ******* **** ********* (~$800 *** ****** *** the ** **-*********-** **. $1,100 ****** *** ****** Wisenet * **).

Strong ** ***** *******

** *** **** **** IR ************ *******, *** subject *** *** **** chart ****** ***** **** no ************. ******* * details **** ******** ****, but **** **** *** impact ****** ***** *******. The **** *****-*** ******** overall ******** ******, *** with ****** ********** ** usable *******.

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Even ** ************

*** ******* * *******' IR ******** *** **** from **** ** ****, with **** ****** ********* at *** ******* ** the ******'* ***** ** view, **** ** ****** overexposure, **** ** ***** range.

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Quick ***** ** **********

** *** ******* ***** towards *** ******, *** camera ******* ******* ****** to ***** ****** ****** overexposure *** ****** *** IR ************ ******* ** he ****** *** *****.

Low ***** ***** ******* (~*-* ***)

** * ~* *** scene ** ***** ****, the ******* * ******'* noise ********* ** ********** better **** ***** ****** cameras. *** ******* * camera ******** ******** ****** of *** *******'* ****, test *****, *** ***** chart, ***** ***** ** ~40' ********.

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** ****** ***** (~**'), the ****** ** *** test ***** ** *********** in *** ******* * camera, **** **** ******* letters *********. *******, ****** are **** *********** ** the ***** ***** **** other ******* ******.

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Low ***** ****** ****

** *** *******, *** Hanwha ****** ****** ******** from ****/******** ** *** light ****** (~*-* ***) due ********* ***** *********, ******** ******* *******. However, ******* * ** a ***** *********** **** other ****** ******, **** the *******'* ***** ******* and **** ******** *******, where ** *** ****** pixelated *** ******* ** others.

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** *** ******* ***** through *** *****, *** face ** ******* *** a *** ******* *** be ****, **** ** his ***** ****.

***** ***** ****, ****** explained:

*** *** ******* ******* random ***** ********* ********** to ****** ******* ** the ****** **** *** moving ******* *** ********* happen. ** ** * trade-off ******* ******* *** artifact. * **** *** configure **** ***** ** reduce ** ** ***** to **** **** **** in *** ***********.

** *** *****, ** found **** **** *** present **** **** **** (SSNR **) ********* ** minimum ******. **** ***** be ********** ** ***** disabling ***, ****** **** resulted ** **** ******* digital *****.

Strong *** ***** *******

******* *** ******* ** entrance/exit ****, *** ******* 7 ****** ****** ******* to ******** ****** *** subject, **** ***** ******* as ** ****** *** interior.

** ********, *** * series ****** *** **** shadowed **** ******* *, obscuring ******* ** *** subject's ****.

** * ****** ***** with *** **** **** open, ******* ****** *********, the ******* * ****** appeared ******** *********** ******** to ******'* * ****** or **** ***, *** details **** ***** ****** visible. ************, *** ******* was **** ******* ******* in *** ****** **** of *** ***** ** Wisenet * **** ******* P.

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Full ***** ***** *******

** **** ***** (~*** lux), *** ****** ******* 7 ******** *****, ****** exposed ******, **** ******* similar ** **** ****** models *** **** *** Hikvision.

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Face / ***** **** ********* (*** ** *****)

******* * ******** "****/***** body *********" *********, *** to **** ******. *** analytics ******* ** **** a **** **** ********, but **** **** ***** when * ***** ***** is ****, ****** **** similar ** * ****** of ****** *** **** detection.

**** **** ***** ********* are *** **-*****, ****** their **** ******* ****** ** *******. ******'* *****************, *********, **** ********, etc., ************ **** ********, ****** we ***** ***** ********* much **** ***** ** false ****** **** **** / ***** **** *********.

**** ***** ****** *********, users ****** **** ** enable *** ******** *** draw * ********* ****:

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False **** / ***** **** ****** ** ***** *******

** *** ***** ****/***** body ********* ***** ******* on ***** ******* ** the *****. ***** ****** were ********, ********* **** lasting *** *-* ******, but ***** ** ** way ** *** * minimum ***** **** ** avoid ***** ********.

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False ***** ** ******** *** **********

******* ******** ********* ********* a ***** ***** *** face/upper **** *********. ****: the ******** *** ******* behind *** ******* ** this **** *** ** its **** *****.

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************, *** ********** ******* in *** ***** ************ caused * ***** ****/***** body *****.

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Hanwha ******** ** ***** ******

****** ******* *** ********* feedback ** ***** *********:

*** *** ****/***** ********* works ***** ** **** detection ** *****(***** ****) detection. ********* ** ********* detection **** ** **** of ***-***** ****** ********* like * ****** ****** back ** * ****** at **/**/** ******* ** you *********. ** * trade-off, ***** ******** ******** increases.

**** **** ** *** testing **** ***** ********* were **** *****, ***** only *-* ******. *******, there ** ** *** to *** * ******* dwell **** ** ***** count ** ******** *****, so ***** ********* *** be ********* ** **** 1 *****. ** *** similar ****** ********'* ********* *********, ** ***** **** have ***** ***** * minimum **** *******.

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

*******, *** ******* ** false ****** ** ****** were *******, **** ** major ***** *******, *******, and ****** ** ******** rooms.

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

****/***** **** ********* ******** detected ****** ******* ** crawling ******* *** *****, though ******** ***** **** somewhat ******, ******* ****** running ********, ***** *****.

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Strong *** ***********

*.*** *** *.*** ********* and ************* ****** ******** in *** ***** ******: Avigilon, *****, *******, *********, and ******* *****. ****** side ****** ********* ********** to *** *****, ** well, ***** ******** ****** (IVA *** ****/***** *********) were ********** ** *** VMSes *** ******** ******* Center.

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Low ******** ******** ** **** ****** ******

******* * ***** ***** bitrates **** *********** ***** than **** ****** ******, such ** *** ****** PNV-A9081R ** ******. ******** in ***, *****, *** low ***** ****** **** all ***** * **/*, while *** * ****** camera ****** ** ****** 5 **/* ** *** light.

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Physical ********

*** ****** ***-***** **** a ******** ****** **** that ******** ** ******** to ****** *** ****** to *******. **** ****** installers ** ***** *** back ***, **** ************ connect *** **** ******** camera ****** **** **** hands ****. ********** **** do *** **** ** take **** *** ****** housing ** ************ ** return *** ***/***********, **** the ****** ******.

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

******* * ***** *** typical **** ***** *****, using *** **** ******* as ******'* ******** * Plus *** *** * series *****. ************ ** similar ** **** ** the **** ***, ** well.

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Made ** *******

******* * ******* ** tested **** **** ** Vietnam.

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Firmware ******** ****

*** ********* ******** ******** were **** *** *******:

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

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