Dahua Face Recognition Camera Tested

By: Rob Kilpatrick, Published on Oct 15, 2018

Dahua has been one of the industry's most vocal proponents of the value that AI creates:

As part of this, Dahua has released a facial recognition camera, the DH-IPC-HF8242FN-FR, claiming:

Artificial Intelligence at the edge – performing complex real-time facial recognition and facial feature comparison

But can this new model really deliver face recognition in real-world scenes? We bought and tested the HF8242 to find out, answering these questions:

dahua face recognition ipvm

  • How many false negatives or positives to expect?
  • How well does the camera handle subjects looking down or away from the camera?
  • How does recognition perform in low light?
  • How does recognition perform in <1 lux with IR?
  • How does recognition perform in WDR scenes?
  • What imaging and environmental issues impact recognition performance?
  • How well did the camera capture demographics such as age, gender, facial hair, and others?

***** *** **** *** of *** ********'* **** vocal ********** ** *** value **** ** *******:

** **** ** ****, Dahua *** ******** * facial *********** ******, *****-***-********-**, ********:

********** ************ ** *** edge – ********** ******* real-time ****** *********** *** facial ******* **********

*** *** **** *** model ****** ******* **** recognition ** ****-***** ******? We ****** *** ****** the ****** ** **** out, ********* ***** *********:

dahua face recognition ipvm

  • *** **** ***** ********* or ********* ** ******?
  • *** **** **** *** camera ****** ******** ******* down ** **** **** the ******?
  • *** **** *********** ******* in *** *****?
  • *** **** *********** ******* in IR?
  • *** **** *********** ******* in *** ******?
  • **** ******* *** ************* issues ****** *********** ***********?
  • *** **** *** *** camera ******* ************ **** as ***, ******, ****** hair, *** ******?

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

Good / *****

*** **** ******** ****** of *****'* ****** *********** camera ** ****, *** small ******* *** *** traffic *****, *** ****** generated *** ***** ********* minimizing *** ************** ****** in **** ********** ****** recognition *********. **** ** did ********* * ****, overwhelmingly ** ********** ** accurately, *** *** *** recognize ********* ******* ** faces ** **** ***** "AI" ******** ****, *.*.,********* ********** *********** ******* as **** ******.

Bad / ******

*******, *** ***** **-***-********-** had ******** ****** ****** it **** ********* ** recommend *** ******/**** ********** use.

  • *** *********** ****:*** ****** ****** ** recognize ~**%+ ** ******** whose ***** **** ********, due ** ******** ******, with ***** ** *********, subjects ******* ****/****, *** low ***** ******* *** majority ** ********.
  • *********** ********** ********** **** looking ****/****:** *** *****, ****** confidence ********* ** ** least ~*-**% **** ******** looked **** ** **** from *** ******, ****** it *** ******* ***** in ******** *******.
  • *********** ***/*** ***** ********** reductions:************, ********** ******* ** least *-*% ***** **** difficult ******** **********, ********* simple *** ******, *-* lux *** *****, ** dark ****** **** ** on.
  • ******* ** ** *********** under * *** (******* IR):***** * ***, *********** became ******, **** *** majority ** ******** ******. At ~*.* *** *** below, ********* *** *** work ** ***.
  • ******** ********* ** ******** recognition:*** ****** ******* *** person *** ******* * times **** *** ***** of ******* ** ******** scenarios, ***** * ***** database ** ***** ** people ** * ***** office. ** ****** ****** installations, ******** ** ****** to ********, ** ********** subjects ******** *** ********** that *** ****** **** look *****.
  • ******** ********* *********** ***********:*********** *********** ** ******** was ********** *****, **** male/female, *******/** *******, *****/** beard, *** ***** ******* incorrect **** ** *** time.

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

*******

*** ***** **-***-********-** ***** for ~$*,*** *** ******, not ********* ****.

Adding ****** ** *** ********/*********

********' ***** *** ***** to *** ******'* ******** through *** *** *********. Users ****** ** ***** for **** ****** ** be **********, ***** **** and ***** ***** ***********, and **** ****** ** to *** ******.

**** **** ******** ****** must ** ********. ***** is ** ***** ** simply *** ****** ** tagging **** ** *****, for *******.

****** *********** ****** *** be ******** *** *** NVR, *** *** ******** on *** ****** ******, since ******** *** ****** on *****'* ****. ***** recommends * ******* ****** of ***, *** **** series (*** ******), ***** allows ***** ** ****** for ******** ********' ****** images. ******** **** ***** searching *** *********** ***********, but *** ******** ******.

demographic information search via nvr

Missed *********** ******

****** *** ******* *** camera ****** ** ********* about ~**% ** ********** subjects **** ****** ******* the *****, **** ***** Dahua's ******* ********** ****** of **%.

*** **** ******** ***** of ****** *********** *** subject ****** *****. *** example, **** ******** ****** down (** **** ** when ******* ********), ********* was ****** **** **** 50% ** *** ****.

frequent missed recognition due to head tilt

************ ** *** ******** face **** ****** **** missed ************, **** ** indoor, *** ******, *** when ***** *****'* **** exposure ******* ***** ******** to ********** ******** ** faces ** *** *****. For *******, ** *** image *****, *** *******'* facial ******** *** *********** by ****** ****** ******** in ***** ** *** with **** ****** *** in *** ****** ****** (though **** ******* ***** still *******).

https://user-images.githubusercontent.com/11630256/46947956-a23f3500-d0a6-11e8-824a-01a3d7015b21.png

~90% *********** ********** ** ***** **********

****** *********** ********** ******** about **% ** ***** conditions, **** *** ******* looking *******, *** ***** evenly ***, *** ****** mounted ** *** ***** recommendations (~*' ****, ~**° downtilt).

Head *******/******* ~*-**% ********** ********

****** *******, *** ********-** consistently *** ~*-**% ***** confidence ****** **** *** subjects **** *** ****** down ** ** *** side, ******* * ******* for ****** ******* ******* the ***** ******* **** at ***** ***** ** feet ** ******* ***** head **** **** *** camera.

head titled

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

*******, ******* ********** ******* confidence ** **** *******. For *******, *** ***** scenes (~*-* ***) ********* confidence ** ~*-*%.

low light

** *** ****** ****** (<1 ***) ***** ******** integrated **. ** **** scene ********** ******* **** ~91-93% **** ****** ** and **** ** **-**% with ** **.

external ir illumination

*** *** ******* *******, dropping ** ~*% ** a *** ***** **** a ********** *** ** ~3000 **. *** ******, shown *****.

wdr

Frequently ********** ************

*** ***** **** *** camera ******** ** ******** various *********** *********** **** faces *** ********, *********:

  • ***: * ******** *** is ********, *** ** searchable **** ** ***** categories (******, *****, *****, middle ***, ***)
  • ******/****
  • ****** **********: *********, *****, happy, ***.
  • ******* ****: ***/**
  • *** * *****: ***/**
  • ******* * ****: ***/**

** *** *****, ***** identifiers **** ********** ********* on *** ******, **** performance ******* ****** *** mounting ********* ******, ** various ******, ***** ******, WDR ******, *** *****, etc.

*** *******, *** ******* below *** ********** ***** as **** ** ***** old (****** ***: **), with *** ******* *******, and **** *** ******* a *****.

age beard

glasess

**** ******** **** **** frequently ********** **** ******** as ****** *** **** versa:

female

Multiple ***************

**** *** ****** ** ~2 ***** ** *******, the ****** ********** *** registered ****** *** ******* four *****, ***** * database ** ~** ****** in * ***** ******.

** ****** ******* **** more ********** *****, ***** issues *** ****** ** increase ** *** ******* two ****** ****** ******* increases **** ****** **********.

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

** ***** ** ****** all ********** ******** ** the ******, *** ***** IVSS *** ** ******** (~$4,500 ****** *** *** channel/1TB). **** ******** ********* for *** ********* ** a ******** ********** ******, specific ********** *******, *** more. ********* *** ** done ** * ***** NVR **** *** ********* tab, *** ** ******* to *********** *********** ****, with ** ******** **** search.

***** **** **** **** capability **** ** ******** in * *** ********, not *** ********* ** North *******.

Typical *** ****** **** ******

*** ********-** ** ******* to ***** ***** *** models, ****** ******** ****** and ******* ** *********** additional ********** ** *****.

similar construction to other box models

Versions ****

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

  • ***** **-***-********-**: *.***.*******.*.*, ***** Date: ****-**-**

Comments (21)

* *** **** ****** this ** ***** ********* testing, *** *** ***** facial *********** ** ****** of *****?  ******* ** and ****** *** ****** them ******, *** ** Asia, ***** *** *** less ****** ** ***** and ******* **** ******* of ****.

****, ****** ** ***** in *** *****......* ****** have ***** ********** ** much ****** ** "***."

** *** *** **** this ************, *** **'* a **** ***** ** consider. **'* ********* ****'* come ** ** *** past, ** ****.

****** *** *** **** committed ** ***** ****** ya ****.....:)

******* ** ******* ***** unhelpful, *** ** ****?

**** ******** **** ******* heavily ** ******* ****** a ******* **** ** capturing ****** ******* ******. There's **** ****** ** photography *********** ********** **** prerequisite *****.

******* *********. *'* ******* to **** ** *** were ** **** ****** at ********* ****** *** then ****** ***** **** the ******** ** *** would *** **** ******* say **** ****** *** looking ** *** ***** or **** ** **** walked **** *** ****. 

**** ***********, ***** ** I *** ** **** shirt?

****** ******** ********* ****** with * ****** ******* their **** ** ******* directions **** **** **** compared ** * ****** reference. ****** *** ******** structure ******* ******** ****** may ** ** *****.

*'* ******* ** **** if *** **** ** take ****** ** ********* angles *** **** ****** those **** *** ******** if *** ***** *** more ******* *** **** people *** ******* ** the ***** ** **** as **** ****** **** the ****.

* ****** **** ***** a ******* ** ** head ****** **** *** a ******* ** ** looking ** *** ****** and ** ****'* **** a ********** **** ********* image * ****, ** would ***** **** * ~90% ********** ****** ** my **** *** ******* seen ****** *** ****.

head tilt vs straight 1

**** **** ******* **** the ****** **** ** head ****** ****, ********** rating ******* ******* ** what ** **** ** the ****** *** ** was *** **** *** both ******.

head tilt vs straight 2

* *****, ** ** just ** ** ** the ****** ***** ****** divergent ** ***** ********?

****, *** *** **** to **** ** *** Facepro ****** ** *********.  The ******** **** *** mentioned ** *** *********.  Facepro **** **** ******** AI ******* ** ******* learning.  *****, ** ** able ** ****** **** variations ** **** ******.

** ** ************* *** *** not ****** * ******** person *** *** **** to *** *****.  *** need * **** ***** to *** **** ** the *****.

 

 

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

*'* ******* *** **** stacks ** ******* ***** companies ***** **** (*** Hikvision ****** *** ********** enlightening), **** ** ********* or *******.  **** *** Axis ***********, *** ******** on * *********** ***** out?

**** *** *** ***** Amazon ****** *********** ***, I'm ******* ** *** what ****** *** "*******" in *** ********.  *'** dealt **** ********* **** are ******* *** **% accuracy **** ** *** security *****'* *********, *** other ********* ***** ***** 90% ** *******.

**** *** **** ****. This ********** ***** *** as * ****** ********** 2D ******** **** *** the ******** ********* ** uncontrolled **** *** ********. For ********* ************ ************, I ** ****** ******** simple ** ** ** viable. *** **** ********** and ********** **********, ******** by ******** ****** ** same ********** ******? ****. But * ** ********* that **** "**** ********" and "**" *** ******* a *** *% *** in ** ************* ************ engagement. ****** ******* (*.*., RGB-D) *** ******** ** achieve *** **** ** results **** **** ** acceptable *** *********. 

**** ******! * ***** like ** *** * comparison ******* ******** ****** recognition *********, **** *****, Hikvision *** **** (**** Ayonix). ** ***** ** great!
****** ****** ** ** 3D ** ******** ** any ******* **** ******.

 

***** ***********...***** ***.  ** it ********* **** **** that ****** *********** ********** is ** *** ******* and *** *** ***** for *********?  ** *****'* technology * **** ***** step ** *** ***** direction?  **** ********** ********** follows *** "********** ***" theory, *** ** **** the ***** ***** ******** by ***** ********? 

**** **** **** **** this ** *** ****** of ****** ********** ***********?   When ********* ******* ** come ** ***, ** became **** ******** *** easier ** ******, *** it ***** **** *** appear ** ****** ***** confidence ***** **** *** users. 

** *********, ******* **** facial ***********, ***** **** confidence ******, **'* *** hard ** ******* **** every ****** **** ******* these ********.

*********** ****** - *** highlights **** ****** *********** (applied *************) ** ******** coming **** *** ********** if *** *** *** get * ******** ** limited ********** ** * $1k ****** **** * vendor **** *****.

**** ** *** ****** here (**** ** ***** confidence *** ****** *****) are **** *** **** of ******* ********** ** lower-end ****** *********** ***** fairly ******** ******* - and ****'* ***** ** comes **** ** **** application, **:

- ** *** **** cooperative/ ********* ******** ** an ***** ******* **** (who *** ** ******** to **** ** ****** in * ********** ***, eg. *** ******** ****** to *********), ** ***-*********** / ******* ******** (****** capture, *** ******** ********* and *** ******* *********)?

- ** *** ******** purpose **** *** *********** / **** ********** / general ******** (***** ***** negatives ****'* * *** deal, *** *** *** play **** ********** ****** - ** ** ** for * ********* ************** / ************** ***** ***** positives *** ***********)?

** *** ***** *****, even *** **** ****** recognition ****** *** ** defeated ** ** ************ scene ** ****** **** the ****** ** ***** or ****** **** ** avoid ****. ***** *** some ***** ********** *** drawing *** ********* ** the ******* ** **** at *** ****** (*** most ******* ***** ******** *********** ********!) **** *** ******* this ** **** ******.

** *** ****** *****, you'd ***** *** * camera **** **** - or ****************-***** ****** *********** ******* - ** ********* *** a ******** ********* ************** application (*'* ****!).

**, * *** **** test **** **** ***** in ***** ****. ******* my ******* ** * bit ***** ******** **** I *** ** *** Kilpatrick ****.
******* ******* *** *******. What ** *** ******* is *****. *** **** show ***** **** ***** will ** ******** **** will *** **** ********* systems, ******* **** ** IPVM ***. ** **** my **** *** **** under ********** ********* ** understand *** **** ******* so ********* **** *******. Main ****** ** **** users ******* **** *********** works ***** *** **********. Unfortunately ***, ** *** quite ******** ******* ***** for **********/*******/*****/**** ** *****/*********.

** **** * ***** agree **** **** ****** comment - ********* **** kind **** ** ***** minimal ********** ***********.
** **** *****: * have ** *** **** I *** **** ********* how ****** ** **** be ********. ** *** my **** ** * have ** ******* **** under ********** *********** **** AI ****** *** ***** 1% ***. ******* ****** under **********. *.*. **** of ******** ******* **** face ***** * *** different ********** **** **** sense *** ******** * lot ******.


** ******* (****** ** shorten ** ********):
******** *********** (*** ****** in ********):
**** ******* ** *** frontal ***** **,*%. ***** up ** ********** ***** 22,5deg ***** **%.
******* ****** ** *** or ***** ***** **** the ****, *** ** compare ***** ****** **** angle ** *** ** nonsense.
(**** ** *** ***** that *** *** ******* left ** *****, * deg ** ******** **** camera).

******** *********** (**** ** recognized ****** ** ********), 452 *****: **% (**** 18 ***** *** ******* detected ** ****** ** database).

**** ******** *** ******** depends ** ********* *** Similarity *********. ***, ***** has ** ******* *** 82, *** *** ***** application *** **** *** your ***. ** ** VERY ********* ****** ** get ********** *******. ******* above *** **** **** 85. ***** **** *** clear **** ***** ***** to ******** ******** *** positive *********** **** ** 87.
**** *** ******* ***** you **** *** ** Similarity ****** ***** *** high ** *** ***:
******** *********** (**** ** one **** **** ** display *** ** ********):
**: **% - **** 80% *** ******* ******** as *** ** ******* fro **** *********.
**: **%
**: **,*%
**: **,*%
**: ***% - ******* this *** ****** *** for ********* *********** ***** threshold *** ****** ** DB ****** ** ** hig.

***, ** *** **** person ******** **** ******** resolution ****, *** ** must ** ****** **** increasing ********** ********* ** reach ****** ******** ****.

** *** *** **** test ** **** ***** 90% ??

**** ** ***** * found **** *** **** significant ****** ***** ******: resolution, *******, **** ** scene.
********** ** ******** **** really ****** ** ****** recommended *******. ** *** forget **** ****** ** just ***** ** **** recording ** ****** ******** to *** **** ******* part ** ***** ** not ****. ** **** it ******* **** ****** must ** **** *>****. This **** ******* **** scene ****** ** *** this ****** *** ***** 2,9-3,3m.

******* - ********* *** influence ** ******** ****. Found **** ***** ***** blur **** ******** **** influence ** *******. ** fact ******* ***** **** using */*** *** ******* is *********! ** ** will *** **** ***** IR *** ******* *******. However *** *** ***** reason, *** *** **** reason ***** ** ***** working **** **** ****** shutter.

** **** ***** *** things *********** *********** ** use ****** *** **** than ***** **** ******** axis, ***** ****** ********** between ******* ********* *** camera ****** ***** **** much *****. ******* **** camera ** ********* ** ceil **** ** ********* low. **** ** ***** why *.*. ***** ** current ******* ** ****** for ** **** ** problematic. ***, *** **** cases *** *** **** datasets ** ****** **** top.

*** ** **** **** database ** *** ** complicated ** ** ******* people ****** (**** ***** can **** **** ******* there, * *****). ***** are ****** *** ******** in **** ******** ** far ** *** **** opened *** *** **** you *** **** ****, sort, ***** *** ****** into ********. ****** ****** solving **. ** ** you **** *** **** people **** ** ******** from **** *** **** to *** ** ******** all **** ******* ****.

**** **** ** ***** plays ****. **** ****** is **** ** ***** at *** **** ** faces, **** **** **** to **** ** ******* minimally *,**. *.*. ** means **** **** **** must ** ****** **** time ****** *** (**** again...shutter/iris/light)! ** *** *** have ******* ***** (** any). ****** ***********, ******* time ********** *******.


****** **** ** *********** of ** ******* ** not ** **** ** to *** *** **** motion *********, ** ***** unbelievably ******, ********** *** Police. * **** ** note **** ********* **** and *** ****** ****** have *********** **********. **** I **** ** **** especially *** ******** *** - ******** *** **** provide ****** *** ** NO. ** ******* ****** also ** ******** - "Show ** ****** ******* to **** *** ** my *****" *** ******** can ** ******* ****** similarity ********* *** ***** number ** *******. ** then ** *** ********* if *** ******* ********** on **% ** **%, cause ** *** ************ limit ****, **** ***. and **** *** ******* set ** ******* ****** similar ******** ***. ** then ***** ******* ** thousand ***** ** ***** just *** **** ********* is ****!

*** ***** ** ******** about **** ***** ** race - *** **** you **** ** **** not **** *** ****. It ** ****** ** training ******* *** ****** network *** ******* ******** are *** *** ** all *****. ***, ****** can **** ***** * lot ** ****** *** this ** *** ****.

*** * ******: ***** datasets **** ***** **/** community, *** *********. ******* above ********* *** ********* FERET ********. ******** ****** on *******, ****** ******** to ****.

******* * **** ***** test ***:
****** **** ***-*******-**
****** ******* *.***.*******.*.*, ***** Date: ****-**-**
*** ******* **.*.*.******
***** ******* **.**(**.*.*.******)
********* ******* *(*.*.*(**.*.*))-*(*****)
**** ******** ******* **.*

*******, ****** *** *** detailed ********. *** *******:

*** **** **** ***** real ***** **** ** mistakes **** **** *** such ********* *******

**** ****** ** **** users ******* **** *********** works ***** *** **********. Unfortunately ***, ** *** quite ******** ******* ***** for **********/*******/*****/**** ** *****/*********.

***** * ***** **** enforcing '******** ******* *****' will ******* ***********, ************** 'real *****' *** *** going ** ****** ****. Confining ** *** '******** limited *****' ********* ********** and **** ** ***** and ******** *** *** where ** *** ** used. **** ********?

** ****,

******* ***** ** ********* is ******** *** ** interested **. ** * guess '**** *****' *** those *** ***** **** system **** **** ****** for **** *****. ** opinions ** ** **** others **** ********** ** in **** *****, *** has *********** ******. ***** is ** ****** ** inflate ** ******* *** on ***** **** ** no ****** ** *** the ***** ** ****. Simply **** **********, ** for ***** *** *******, should ** ***** ***** about ************ ******** *** it. *** * **** it *** **** **** of **** **** ** application ********.

** **** ** **** for *** ****** ****** called "**" - ********* dep. *** ****** *** able ** *** ******* of ************ ***** ** not ********** **** *** documentations ** **** ****, sometime ************ *** ** frighten ******** ****...

*.*. ** ** ***** that * *** *** get **** ***** **** Hikvision ** ****** ***** you **** ****** ** unsucesfull. **** ************* *** the ******** **** *********** and ******* ****** ******** I ** ********* **** it ** ******** ** make ** **** **** ;-)) ***, *** **** answer **** ****** ****** be **** **** ******** - ************* ** ***** in ** **** ***/*** power, ***** ***** ****** cost. ** ** *** where ** ***.

** ******* *** **** engineers ****** ******** ******* should **** * *** how ** ********* ** reasonable ***, ****** ** get **** "*******" *** what *** ******* ******* called '**'.

*** ***** *** ** stop ********* ***. ** inflate ************ ** **** systems ** ************ "***** cuts".

*** ***** *** ** stop ********* ***. ** inflate ************ ** **** systems ** ************ "***** cuts".

*******, * ** ***** with ****.

* **** ***** **** this ********* **** ***:

******** ************ *** ** frighten ******** ****...

*** * ** ******** here:

** ******** ** ** tell ****** **** ********** is ** **** *****, but *** *********** ******. 

** *** ********** *** 'in **** *****', ** would *** **** ***** 'application ******'. *** **** these ******, *** ****** is ******* ** **** few ********* **** *** willing *** **** ** conform ** ****.

Login to read this IPVM report.
Why do I need to log in?
IPVM conducts unique testing and research funded by member's payments enabling us to offer the most independent, accurate and in-depth information.

Related Reports

Mobotix 7 Line Camera Tested on Mar 12, 2020
Mobotix is attempting a turn-around, struggling for years, then releasing the OEMed Move line, Mobotix is aiming for its new 7th generation line to...
Dahua Smart Motion Detection Camera Tested on Mar 03, 2020
Dahua has introduced Smart Motion Detection, AI-based VMD, claiming to use an advanced algorithm to differentiate human and vehicular shapes within...
Camera Analytics Shootout 2020 - Avigilon, Axis, Bosch, Dahua, Hanwha, Hikvision, Uniview, Vivotek on Jan 22, 2020
Analytics are hot again, thanks to a slew of AI-powered cameras, but whose analytics really work? And how do these new smart cameras compare to top...
Bosch Budget 3000i Cameras Tested on Dec 05, 2019
Bosch has long had a hole in its lineup for, as it describes, "competitively-priced cameras". Now, Bosch has released its 3000i series cameras...
Hikvision Dual Lens Face Recognition Camera Tested on Nov 19, 2019
Hikvision's Dual Lens Facial Recognition camera, claims that it "adopts advanced deep learning algorithm and powerful GPU to realize instant face...
Avigilon Appearance Search Tested on Oct 30, 2019
Avigilon Appearance Search claims that it "sorts through hours of video with ease, to quickly locate a specific person or vehicle of interest...
Hikvision Acusense Analytics Tested on Sep 23, 2019
Hikvision touts "The Magic Behind It All" in their new Acusense line are 'deep learning algorithms' inside these cameras and recorders. But how...
Yi Home Camera 3 AI Analytics Tested on Sep 10, 2019
Yi Technology is claiming "new AI features" in its $50 Home Camera 3 "eliminates 'false positives' caused by flying insects, small pets, or light...
Dahua Analytics+ Tested on Aug 07, 2019
Dahua's analytics have performed poorly in past shootouts. But now, they claim their new Analytics+ "algorithms significantly improve accuracy and...
Hikvision DeepinView Camera Analytics Tested on May 08, 2019
Hikvision is expanding its 'deep learning' offerings with a new camera series called 'DeepinView' claiming false alarm reduction and improved...

Most Recent Industry Reports

Viakoo Presents Cyber Hygiene for Cameras on May 28, 2020
Viakoo presented its 'Cyber Hygiene' and 'Service Assurance' products at the April 2020 IPVM New Products show. Inside this report: A...
Seek Scan Thermal Temperature Screening System ReTested on May 28, 2020
Now that IPVM has tested Dahua, Hikvision, and Sunell, we are returning to Seek, the first blackbody system we tested and retested it with our...
Directory of 106 "Fever" Camera Suppliers on May 28, 2020
This directory provides a list of "Fever" scanning thermal camera providers to help you see and research what options are available. There are...
Fever Cameras Are Medical Devices, Per The FDA, Dahua, Feevr, Hikvision, InVid Contrary Claims Are False on May 28, 2020
Fever cameras are medical devices, despite what euphemisms various sellers use. The US FDA clearly categorizes them as medical devices and...
Wyze Raises $10 Million And Seeks Services Expansion on May 27, 2020
Wyze has raised $10 million, the company's first disclosed raise since the $20 million announced at the beginning of 2019. Inside this note,...
Startup Videoloft Presents Cloud Storage on May 27, 2020
Videoloft presented offsite cloud storage at the May 2020 IPVM Startups show. A 30-minute video from Videoloft including IPVM...
Directory of 300+ Fever Camera News Reports Globally on May 27, 2020
This global directory tracks 300+ articles about thermal cameras used to detect fevers in response to the coronavirus pandemic. Articles are...
Integrators Rising Against Coronavirus on May 27, 2020
IPVM integrator statistics make it clear - Coronavirus's impact on business is lessening and many are anticipating even better news in weeks...
Netposa Stock Surges 46% After US Human Rights Abuse Sanctions on May 27, 2020
Last Friday, the US government announced it would sanction PRC video management provider NetPosa for being "complicit in human rights violations...
LILIN Presents NDAA-Compliant P2 Cameras on May 26, 2020
Merit LILIN presented its NDAA-compliant P2 camera series at the April 2020 IPVM New Products show. Inside this report: A 30-minute video...