19 Facial Recognition Providers Profiled

By Charles Rollet, Published Apr 23, 2019, 12:37pm EDT

IPVM interviewed 19 facial recognition providers at ISC West to understand their claimed accuracy, success and positioning.

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9 from China, where facial recognition has received the most significant recent support:

  • Dahua: "interest but not adoption"
  • Facego: Big parent company, poor marketing
  • Hikvision: Downplayed
  • Longse: Fac Rec "Just for Show"
  • Qualvision: "Frank Comments on NDAA, Face Rec Hype"
  • Sunell: Bold Claims
  • TVT: "that's gonna piss our customers off"
  • ZKTeco: Claims World’s Best Facial Recognition, Calls Hikvision “Cheap Chinese”

Note: China's most prominent facial recognition providers, SenseTime, Megvii Face++, and Yitu did not attend ISC West.

And another 11 outside of China, mostly US, with one each from Australia, Japan, Russia, South Korea and Taiwan:

  • Avycon: ''It Can Detect A Face"
  • Axxonsoft: Frank Comments on 'Accuracy' Ratings
  • Ayonix: Emphasis on Speed
  • Ever AI: Positions Itself As China/Russia Competitor
  • Deepcam: Selling $59 'Facial Recognition' Cams
  • Faceron: Obscure Operations
  • Geovision: 3D Face Map And Gender Recommendations
  • iOmniscient: "20x Cheaper", Touts Chinese Army as Client
  • Panasonic: 'We Beat NEC'
  • Real Networks / SAFR: US Based Facial Recognition for Schools Solution
  • Tough Dog: Tough Time Selling Face Rec Solutions
  • Virdi: World's Best / No Evidence

Inside this report, we provide detail and analysis on each one plus trends found.

Executive *******

** ***** *********** *********, such ** *** *******'* positioning, *****, ********, ***********, and ******* ** **** its *** ****** *********** software. * *** ****** stood ***:

  • Inaccurate ******** ******: many companies said their face rec software had "98%" or "99%" accuracy but were unclear about how they derived them or what that meant in real use. Given the vagueness, we would be skeptical.
  • Sourcing: While most firms claim their software is entirely their own, one white labeler told IPVM this was not always the case; OEM-ing is quite common across facial recognition providers.
  • GDPR: several companies stated their facial recognition solution was "GDPR compliant", an inaccurate claim since no products can be **** *********.
  • Unsure ***** *** ****: IPVM heard frank comments from some distributors that most average customers didn't need facial recognition, with one describing it as more of an "industry trend" rather than a client-driven one.

** ***** ** ******* trends:

  • Education: in China, facial recognition firms are increasingly eyeing the education access control market - Sunell, for example, has launched face rec-integrated thermal cameras that detect when specific kids get sick. IPVM also interviewed a subsidiary of a controversial Chinese company 'scoring' students using face analytics to tell whether they're paying attention. The field is smaller in the US but still present with firm SAFR, who we also profiled.
  • Less ** **** **** *** ******* *******: Dahua and Hikvision's facial recognition displays were notably muted, with both booths giving significantly less play to the technology than in the past.
  • Wider ************: IPVM found one China-US company pushing face rec for retail at rock-bottom prices ($59 per camera with an $8 per month subscription) and another selling facial recognition recorders for less than $1,000, signs that a race to the bottom mentality has infiltrated facial recognition as well. However, how well those super low-cost facial recognition recorders work is questionable.

*****

Dahua: ***** ** **** ***

***** *** ***** ** facial *********** ** *** West, ******** *** ****** from**** ****'* ** ****, **** ** ********** a ****** ******* ** a *****. ***** *** only *** **** **** rec ****:

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* ******** ***** **** analytics ********** **** ** 'angry' (*** *****, ******** 'hungry' ***** **** **** more ********):

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*** *** ********* ***** and ***** ** **** identified ** '*********' ****** their ***** *** *** show **** *******.

* ***** *** *** told **** ** *** seeing "******** *** *** adoption" *** *** ****** recognition *********, ****** **** the ******* *** ******* promoting ***** ****** ** the **.

FaceGo: **** *********, ************* ****** *******

******* **********/***********:******** * *******-***** ****** recognition *** ****** ******* firm **** ***** *,*** employees. ***** **% ** FaceGo’s ******** ** ** China. ********, *** ******* orients ****** ** * mass-market ********* ****** ******* solution.

****** ******* ******* ** Scrutiny: ******'* ****** ************** ************ ******** ****** ** China, *** ******** *** the ******* ** ****-***** ********** *** ********* ********* product, *** "***** **** System" (***). *** ******* film ******** ** * schools ****** ***** *** use ********* ** ******** them **** **** **********: listening, *********** **** ******, talking, *******, ********, ** asking *********. ***** ** this, *** *** **** scores *** ********, ******* that *** ****** ** teachers *** *******. *** system *** **** **** $200,000 *** * ** classroom ****** *** *** Chinese ********** **** *** bill *** ** *** AI ********* ********.

*******: FaceGo sells small tablet-style face rec ************* *** ** ******* on ***** **** ** entrances:

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*****: The devices run anywhere from $200-$600 each.

***********: According to a promotional display, the company has 1,000,000 installs across the world. The terminals can store up to 15,000 faces – contrast that to ZKTeco’s claim of being able to match up to 1 million.

*** *****: Overseas sales manager Heidi Shaw said the terminals are sold to facilities like schools, hospitals, museums – its *********** ***** *****’* ******** of ******* ******* ** a ********. **** ****** many ************* ** ***** use ****** *********** *** access ******* ** ******* parents *** ******* ***** kids ****’* *******.

********: Shaw also stated that FaceGo has an accuracy of 99% and can distinguish between an actual face and a photo of one (‘liveness detection’).

*** **********?**** **** ****** **** uses “*** *** **** technology”.

** ******* ********* **** to ******* ***** *** software, ******* ********* ********* have ********* ****. **** can *** *** *** to ******* ***** *** software ** *** ***** market

*******, **** ****** ** was ****** *** ***** companies ** ****** *** third-party ** **** ****** face *********** ********** *** resell **** ** ***** own:

***, **** ********* ** that

**** *********: ****** ******** **** shoddy *********. *** **** poster ******* ** *** “Trusted” ****** ** **** to * “** ********** Patent,” *** **** *** unable ** ******* **** that ****** ******** ***. Additionally, *** ***** *** an ******* *********** ***** with ***** **** **:

  • * *** ******* **** system **** *********** **** your ***********
  • * ** **** *** all *** **** ******* you *** ******* ** rest
  • *** *** ********** ****** alive
  • *** **** ******** ****** instantly
  • ****-***** ****** ****** *** turned **** * ********* in ** ****

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Hikvision: "*** *******" ** **** ** ****

**** ********* ** ********* someone ** ********* ***** its ****** *********** **********. A *** ******** ** to * ***** ********, who **** ** **** were "*** ******* ** talk ** [****]" *** walked ****. ****'* ***** attempts ** *** ******** from *********'* ****** ************** manager****** ************** **** ************. ****** at*************** **** ****, ** attempts **** **** ** follow ** **** **** IPVM **** *** *****, however.

*******, *********'* ****** *********** demonstrations **** *******, ********* in * ****** ****** of *** *****.

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Longse: *** *** '**** *** ****', **** ***********

******* **********/***********: Chinese manufacturer Longse's booth had a run-of-the-mill facial recognition display, which was mostly notable for a glaring typo highlighting its "artifical" intelligence series of cameras:

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*****/********/*** ****:***** ****** ******** *** "artifical ************ ******", * sales ******* **** **** they **** *** *** available ** *** ** and **** ****** *********** was "********* **** *** the ****" ******* ** "looks **** ** *** booth."

**** **** ****** ** answer **** ******** ********* on *****, ***********, *** beyond ******* **** ****** would ** ********* ** "AI ****** **** ** chipset [***] ******* ***" sometime **** ****, ********** that *** ******** ***** be *********.

**** **** ***** *** the **** *** ****, it **** *********** ******, identifying *** *** (*** right) ** ****** ******* when ** ******* ****'*, and *********** ******* **** glasses ** *** ****** any **** ** ******* did:

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Qualvision: ***** ******** ** ****, **** *** ****

******* **********:************ * ******* ************ with*********** *** **** ** distributor. ** ** ****** focused ** ************ *** does *** *** ****** as * *** ****** in *** ****** *********** field, **-******* *** ** told ****, ******* **** wall *******:

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*******:********** ***** ******* **** "embedded ********" **** ******* facial *********** *********, ** said. *** ******* *** HiSilicon ********, ******* **** are ******** ** ******** due ** *** **** “to ***** ********* **** the ** **********”, ** added, ****** **'* ***** concerns ** **** *** topic **** ** **********, ***** *** "**** many ******* [****] ********* [chips]." (*** ****, ********* ********* ******* ******** Tens ** ******** ** Western *** *******).

*****: ~$**-$** *** **** ‘facial ***********’ ****** **** no *********** ***.

********:"** *** ***** ****** 95% ********* ** *** lighting," ** ****.

*** **********?*** **** ********** ****** the ********** *** **** by ********, ** ****, which ***** ** ***** with *** ********.

******** ** *********/***** **** rec: Wu made interesting comments on Hikvision and Dahua, stating that Hikvision keeps its facial recognition mostly in-house but that Dahua was much more “open” about using systems from other companies. Both firms are increasingly competing with SenseTime and Face++ for big government projects, he said, claiming SenseTime was “very powerful” and likely offered the best facial recognition system in China. "Most [of SenseTime's R&D employees] are scientists, not engineers," unlike Hikvision, Wu said.

********* ** **** *** Trend:** **** **** ***** comments ***** *** ********** of ****** *********** *****, sounding *********:

* ***** ****** *********** is ******* **** ******* but ****** ***** ***** to *** ** *** how ** *** **. We *** ** **********, but *** ** ***'* know.

Sunell: '****-*********' ** ********, ********* '*****' *******+**** *** ******

******* **********/***********:******* ********************** * ****** ** pitch **** ********* ** Dahua **** ****, ******* itself * "****** ** video ******** ********:"

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*** ******* ** ******** on "**** ****-********* ** products" **** ******* ******* Ann **. ** *** keen ** ********* **** while *** ******* ********** "encourages ********* ** ****** in **", ** ****** "we ****** ***** ** commercial" *** ***-**** *******. "Hikvision *** ***** *** more ******* ** ********** projects," *** ****.

*******:** *** *****, ****** showed *** *** "** Camera *.*" ******, ******* the*** ******** ******,***** **** * ******* imaging + ****** *********** camera ****** *****-**.**** **** **** "**** 20,000" ** ******* *** shipped ********* ** ***.

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*** *****:*** **-** ******, ***** looks **** * *****, is ***** ** ** used ** ******* ** automatically ****** *** ******** which ******** *** **** based ** * ******* of ***** ********:

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** *** ** **** about ***-*** ** *** cameras **** **** *********, mostly ** *****. *** other ******* *** ***** for *** ****** *********** facial *********** ************ **** airports *** ** ********** for ***** ********** ** factories. *** ****** *** said *** ** ******* were **** ** *** Chinese ******** ******* ****** were ******* ****** ***** punchcards.

*****:****** ******** ** ******* on *** ***** ** its ** *******.

********:**** ******* **-**% ********.

*** **********?** **** ****** "***** with * *** ********* providers ** *****".

TVT: "****'* ***** **** *** ********* ***"

**** ********* ** **********, *** ******* ************. However, ******** ***** ******** Tank *** **** ** repeatedly **** **** *** not ******** - ******* ever ********** ***:

** **** **** ** focus ** **** *******

** ****** ***'* **** you **** ** ****** on **

[*** ********* ** ** will] **** *** ********* difficult

****'* ***** **** *** customers ***

**'* **** ***********

************, **** *** **** to *** * ***** from ****** ***'* ***** of *** ****** ** makes *********** *** ****** recognition:

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ZKTeco ****** *****’* **** ****** ***********, ***** ********* “***** *******”

******* **********/***********: ******** * ******* **********/****** control ****. ** *** West, ** ******** ****** as * "********, ********** and *************" ********, **** particular ******** ** ****** analytics.

**** *** ****** ** Accuracy, *****, ***:**** ***** **** **** Fitzwater, ** ********* ***** executive *** ********** ** ZKTeco *** *** **** a ****** ** *********** claims ***** ******’* **** recognition **********, ***** ** used *** ****** ******* and ** *** *******'* “smart ******” ** ***********/******/***:

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**’** ***** ** ** the ***** ****** ** facial ***********.

** **** **.**% ********.

*** ********* ** ************. There’s *** *********** ********** [****** ***********] **** skin, ** ***’* **** any ** ****.

** *** **** ** [facial *********** ***** ******] on *** **** ** your ****.

*** **** ********** *****. ***** ******* ***** five ***** **** **** ours.

******** ** ******* ** for **** ******. [* smart *****]

********* **** ******* ****** could ** **** *********** on * **** ***** (such ** * ******* faces) *** * ***** like ****’* ** * concert. ********* *** ********** uploaded ***** ****** ** the *****/*******’* *** ***** simply **** **** * camera ******* ** *** be ******** ** ****, then ***** *************** ***** on ******** *********, ***.

**’* **** ** **** Minority ******!

*******, ** **** *** explained, **** **** ** recognition ** **** ********* to **. **** ** China, ***** ****** ** is **** **** ******, payments/retail *** ****** ************ not ****** *********** – you **** ** ***** both **** **** *** phone ******, ** *** system ***** ******** *** to ********* ** ***** faces. (****** *****’* *** ** Facial *********** *****.)

********* **** ******* ****** recognition *** ********* ********** because “*** ***’* *******-******** your ****.” *******, ****** recognition ******** *** ********* be ****** ** ******** a ***** ** ******* else’s **** *** ******* it ** * ******, as ****** ****** ** **** video.

USA *** ** *********: When IPVM returned to the ZKTeco booth to film a quick video of it, ZKTeco USA’s CEO ***** ********** ** ***, **********, stated **** ***** ** appreciated ****’* **********, ** was ************ **** ****** being ****** ** **** other ******* *************, ************ Hikvision:

********* ** * ***** Chinese ****** ************ *** to ** ********** **** that ** ****… *[******]*

***-*****

Avycon: '** *** ****** * ****'

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**** ********* ** *** basic *****/***********/******** ********* ***** US *** **************'* ****** ***********. *** rep ** **** ******** to *** ****** ** answer, *******: "** *** detect * ****, ****'* the **** * ****," he ****.

****** *** **** ******** been * (*****) *** re-labeller.**** **** **** ********* facial *********** ** ******* videos*** ********* *** ** much ** *** ****.

AxxonSoft: ***** ******** ** '********' *******

******* **********/***********:******** ******** *************** ************* ** ******, where ** *** ***** 50-60% ** *** ******, according ** *** *** Shimirzov. ********* ** *********** itself ** * ******** provider **** ***** ***** AI-enabled ************ ******** **** a ******* **** ** smart ******, ********* ****.

*******:********* ***** **** ***-*********** *** *** *********- **** *** ***** a ***** ****, ***** previous **** **** **** successfully *******, ********* *** partially ******** **** ** an *****:

********:**** ** ******** *********** Igor ******** ******** ** give * ***** ******* face *** ******** **********, stating *** "**** ********" results *** **** **** rankings ***** **** '********' ratings *** **** **-***** in ***** **********, ****** them ********** *** ****-***** use. ********* **** *** claim ***** **** *** "more ********" **** ******, performing ****** ** *** angle *****.

*****:$*** *** ****** ***********-******* channel *** $*,*** *** a **** ******** ‘******* limit’.

*** *****:********* **** *********** *********'* use ** *** **** Mexico **** *******, ********* 200 ******** *** ****** recognition *** *** *******'* 2,500 *******

*** **********?********* **** ** ***** its *** **** *** had *** ***** ** Russia, ******, *******, *** Australia.

Ayonix: ******** ** *****

******* **********/***********:**** “***% ****** ***********” software ******* ** ********, Virginia *****, **** *** Michael * *******, *** was ********** **'* ** Tokyo, *****. ** ** positioning ****** ** * “core ****” ******* **** speedy ****** *********** *** is ***** ** *** Western *** ******** ******. 85% ** *** ******** is **** ******* *** US, ******* ******, *** Middle ****, *** *****.

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********/*****: Ayonix's website ********** *** ******** ***** less **** '*** ************' to ***** ******* ** a * ******* ****** database **** * **.*% accuracy *****. **** ** in ***** **** ****** to *** "******** ** recognition ******" ***** ** 1kb *********, *** ******* states. ****** ******** #* ranking *** ******* * **** **** competition.

***********: One server can support "1,000 cameras" and each camera can support 10,000 records, Broggie said. "Scale is virtually unlimited."

*****:******* **** ****** **** too ******** ** ***, although *** ******* *** "competitively-priced" *******. ******'* *************** ******** ** ****-*********** because ** *** *** server ************:

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************* ****** ** ***** and ***** ***** ******* in **** ******* *** virtually ****** **** ****** recognition, ** ******* **** are *********** ********** ** premium ****** *********.

*** *****: ******* **** ****** was ** *** ** Softbank ** ***** *** malls ** ******* *** Dubai.

*** **********?“** *** *** ** our **********, ** ***** party ************ – ****-**-****,” said *******. ******** ******* age, ******, *** **** analytics, *** *** ******.

DeepCam: **-***** ******* ******* $** '****** ***********' ****

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******* **********/***********:********* ********** ** **** China *** ********, **** its ** ** *** latter, **** ******** *** Liu. **** ** *** company’s ******** ***** **** China's ****** ******** *** retail ******, *** *****. The ** ***** ** on "**********" ****** *********, as *** ** **** from *** *******, ************* **** *** ** a ***** ************* ****** ***********' "behavior" *** *** **** across ******** ******.

*******/*****:*** ‘**** *******’ ****** is * $** "*** HD ****** ***********" **** camera **** * ****** recognition *** (******) ************ *** $* a *****:

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**** **** **** * bullet ****** *** ***** $150. "** **** ** really ********** *** **********," Liu ****, ** **** by ******* **** "* dozen *************" ** **** the *******, ***** ** said **** ************ ******** by *******.

** **** ****, ******* automatically ********** **** ***** we **** * ******, pulling ** *** ******** hits.

***********:*** ******* *** *** store ** ** **,*** faces, *** ****. "*** systems **** **** ****** to **** ********** **** large *********** ** *** millions," *******' ** ******* Don ****** (*** **** did *** ****) *******.

********:*** ****** *** ******** had ******** ** "** to **%", *** **** "our ********* *** ****** double ******** [** ******] as ****" - * common ******* ** ******-******** cameras ** ******, ***** double ***** ****** *********.

*** **********?******* ****** **** *** facial *********** ******** *** its ***, *************-********* **********.

Ever **: ******** ** ************* **** ********, ********* ****** ** *****/****** **********

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******* **********/***********:**** ** ***** ****** "the *****'* **** ******** facial *********** ********." **'* a **-***** ******* ***** provides ****** *********** ********** for "*******-********" ********** ************.

******** ** ***********:*** ***** ** **** AI’s ********* ** * database ** ** ******* faces **** **** *** million ****** **** ** garnered ** * ******* consumer ***** ***** *** called “****”. ******* *** vast ******** ** ***** people ***** ******** ***** photos ***** *** ** being **** ** ***** face *** **********, ******* Magazine ****** *** **** AI ** *** ******* *** ******** ** **** Face," ******* * ****** Ever **** *** **** "Nothing ** ******* ******* and **** **** ****** the **** *** ** me.”

**** ****, ******’* ***, responded ** *** ******** coverage ** ******* ** IPVM **** ****** ***** originally ******** ** *** Ever *** ****** ***********, something ** ******* ******* implied ** *** *******. “This ****’* **** ************ notion **** ** **** going ** ** ****** recognition,” ** ****. **** conceded, *******, **** *** lack ** ***** ****** to ***** *** * “fair ********”, ******** ********* that ****'* *** *** always ******* *** **** a ********.

***********:******* *** ************* *******, Ever ** ** **** to ******** ****** ** a ********** ** *** Chinese *** ******* ******** which ******************** ** **********'************* ** ****** *********** algorithms: "* ****** ** the **** ******* ******* to ********* ***** *** Russia ** **** *********** accuracy"***** * ****** ***** release.**** ** ******** ** list ********* *** *** pitch ** ******* ***** at ******* ********** ********* - ***** ********* *** governments, ********* ******** *** law ***********.

********/*******:**** ** **** *** first ** *** "**** Faces" ******** ** *** NIST ******** **** ****, i.e. ***** ********** '** the ****' ** ************ cameras ** ***-***** **********. On **********, **** ** ****** it *** ******* * wide ******* ** *********, including **** *** ****:

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*******:****-**-**** *****.

***** ********:**** **** ********* ** IPVM **** **** '**** recognition' ********** ******** ** have ***** *** ********** software ******** *** ** from ***** ******* ** open ******:

*** ****** *****, *** you **** *** ***** and ***'** *** *,*** companies ***** *** **** demo.

***********, **** **** '**% accuracy' ****** **** **** companies *** **********, ** these ******* *** ***** on **-***** ******* ** only ** ***** **********. Aley **** **** ** the **** ******** ****** rather **** **-***** ******** ratings: "** ****** ********* the ***** **** *** chaff."

Faceron: **** *** ******** ******* **** ******* **********

******* **********/***********:*** ** ******* ** based ** ** *** New **** *** ***** facial *********** ********.

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*******’* ********* ****-*****; * ***** labeled ‘***** ** ***********’ is ******* ***** *****.** ******* *** **** the **** **** *********** business ** "***** *******" but ******** ** ** more ********. “** *** focused ** ****** *******, industrial *** **********”, ** said, **** ** ********* and ******* – *** governments.

*******:*** ******** ******* ** a “**** ********” ****** recognition ******** ***** **** has ****** ********* *** “over ***” ********* ***** of *******, *** ******, such ** ******, ********, dogs, ***.

*****:*** ******** ** ******** any *******, ****** ****** it *** **** “*******-*****” and “************-*****”.

***********:*** ******* *** ******** could *** ****** *********** for ****** ** *-* million ****** **** “*********” of *******.

********:*** ****** **** "******** is **** **** **%, can ** ** **.*%"

** *** ****** **** in * ******* ** [firefighters] *** **** **** a ******** ** ****** earlier

*** **********?*** **** ******* ********* its *** ****** *********** technology.

*****:*** ** *** *** face *** ***** **** spoke **, ******* *** the *******. ***** ** also **** ****** *********** about *** ******* ******.

Geovision **** *** ***** *******, ******** ****** *********

******* **********/***********:*********, *** ********-****** ********* firm ***** *** ************** ********** *****, *** * booth ***** ******* ****** up ****** ***********:

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********* ********* ***** ***** said *** ******* ** positioning ****** ** ** end-to-end ****** *********** ******** for ***-**** *** *****:

**’** *** ******** *** the ******* ********* [***] niche *******: ******, *******, correctional **********. **’** **** in *** ****** ** years, ** **** ******** markets ****.

*******:*********’* **** ****** *********** camera ** *****-****** ****. *** **** **** sells ****** ********************.

*****:***** *** *** ********* on *******, *** *** dome **** *** ****** typically******* ****** $*,***. * terminal *** ********** ***** $***.

***********:***** ****** ********* ******* typically ******* **,***-**,*** ***** in *** ********.

********:***** **** *** ****’* facial *********** ******** *** an ******** ** ***** 95% ** ****-******* ************. However, ** ****** **** only **% ******** ** often “**** ******” *** non ******-******* *********.

*** **********?********* ******** *** *** facial *********** ********/**********, ***** said.

*** *****:********* ********* *** *********** application: * ** *** tracking ****** ** ** office ** ***** ****:

**** **** *******/******* *** a ****** **** ****** analytics **** **** *************** on * ******: **** for ***, *********-******* ************ for *****.

iOmniscient ****** "*** *******", ***** ******* **** ** *******

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*UPDATE (****** ****): iOmniscient's CEO, ****** *****, **** **** **** iOmniscient *** **** **** to *** *** ******** once, ** ****, *** this *** ** ****-***** "inventory **********" **** ********* to ****** *********** ***** also *** *** *********** of ***** ******** **** firms, ****** "** **** not **** **** *********** in [********] *****". ***** also **** **** ****, separately, *********** **** ****** recognition *** *** ** the **** **** ****** 6-7 ***** *** ** "perpetual ********" *** "** do ******* **** **** an **-***** *********** *******."

******* **********/***********:*** ****** *********** ************** ***** ** ******, Australia, **** * ****** in **** **** ****** “Wild *****”. *** ******* has ********** ****** “*****” ********* ** IPVM ******.

********:***** ** ******** ******* told **** **** ***********’* tech ******** ** “**********, crowded **********” *** **** it *** ******** ********* “35 ****** ******” ** one *****. ****, *** system *****’* **** * full **** ** **** - ** ** ** degree ****** ***** ***** for ******** ***********, ******* said.

*****:******* ******** *** *****’* claim **** ***********’* ******* is “*** *******,” ********** that **** *** ******* of “***** ***********” ********** that **** **** *** distance ******* ******’* **** to ********* ****, ******** required ********** ***** ** 90%; ******* **** *** firm’s ******** **** ****** about ** ****** ******* the **** ** **** an ******** **, *** even ** *** ** 12 ******. ******* **** prices ****** **** $*,*** for * ** **** license *** * “*** end” ******* ** $**,*** for “**** ***,” ******** this *** ******* ** considerable *********.

*** *****:******* ****** ************ *** a **** ******* ***** of *****, **** **:

  • *** ******* ****
  • *** ***** ******** ******* Police
  • *** ***** ******
  • *** ****** ***** ********

******* ******* *** ******* Army ** * ****** was * ***** ** the ********** *****, **** most ********** **** ***** to - **** ******* ones - **** ** distance ********** **** *** Chinese ********** **** ************* scrutiny ** ******* ***** surveillance ** *** ****. When *****, ******* *** not ******* ******* ******* on **** *********. (August **** ******: *********** **** ** **** **** ** *** *** ******** ****, ** ****, ** * **** ********* ** ****** ***********. *** ****** ***** *** **** *******).

*** **********?******* **** *********** ******** all *** *** ********** and *** "** *******" worldwide.

**** *****:*********** *** “**** *********” stated ** *** **** booth, ******* **** ** misleading ** ***** ** no ******** ********* ** certify **** **********. *** more, ******** ******** *** *** GDPR *********, ** ******** Can **.

****sonic: ***** ** **** ***, '** **** ***'

******* **********/***********:*********,*** **** ******** *********** firm, *** **** ** promote *** ******** *********. Senior ******* ******* ********* told **** **** ******** only **** ** ***** 1% ** *********'* ********, although ** *** **** a **% ****** ***** in ********* ******* ** Japan. ********* ** *********** itself ** * ***-*** enterprise ****** *********** ******** for *** ******* *** Japanese *******, ********* ****.

*******:*********’* ******** ****** *********** product ****** ***, * “**** ******** facial *********** ******” **** was******** ** **** ****’* ISC ****.

**** ** ****** *****,***** ** * ***** of *** **** ** ISC ****:

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*****:********* ****** **** * FacePro ****** *********** ****** with **** ******* *** requisite ******* ******** **** 5 ******* *** ** about $**,*** – ******** this *** * **** price ***** ***** ** considerably ******* *** * large *******.

********* **** *** ****** is *************-****** ******* *** servers *** ******* ** to ** *******, ** opposed ** **** *-* cameras ******. **** ** ****** to *********’* ***** ********* requirements, ********* ****: *** security ****** ****** ************* sends **** * *****, 10kb ******** ** *******’ face ** *******, ******** processing *****.

*** ****** **** **% of *** ***!

***********: * ****** ****** *** support * ******** ** up ** **,*** *****, although **** ** ** upgrade – ******** ******* can **** ***** **,*** faces, **** **** ****.

*** *****:********* **** *********’* ****** recognition *** **** ******** in **** ***** ******** in *****, ********* *****’* two **** ********, ******* hometown ***** *** ** the *****:

** **** ***, ** NEC ** **** ******* about ****

****: *************, *** *** not ******* ** *** West ******* ************ ***** a ********* *** *********** marketer ** ****** ***********.

********:********* *** ***** ** talk ** **** ***’* accuracy, *******:

**’** **** ***** ****** recognition *** **** **** 20 *****. *** ****** update ** ***** **** learning, *** **’** *** able ** ****** ****** even ** ****’** ******* sunglasses ** **** ********* obscured ***** **** *****… I’ve **** ******* ****** this ********, *** *’** never ***** ** **** kind ** *****.

**’** **** ** *** a **-****-*** ***** *** match **** ** * person.

** **** ******** ** over **%

*** *********** ** ***** [of] **** ** *** a *******

** **** ****** #* in **** ** **** [while ** ****’* ****** first, * *********-******** ********** of ********* **** *** score **** ********* ********** ** *** 2017 ****]

*** **********?********* ****** **** *********’* face *** ******** *** completely **-*****, *** *** training *** ********** ** conjunction **** *** ********** at *** ******** ********** of *********.

**** '*********' *****:********* **** **** **** FacePro ****** “** **** compliant”, *******, ** ********* for ***********, ***** ***** is ** ******** ********* to ******* **** ********** this ** **********.

SAFR: ** ***** ****** *********** *** ******* ********

******* **********/***********:****[********** '*****'] ** * US ****** *********** ****** control ******* **** * "*-** *****," **** **** ** product **** *****. (******: in * ******-** *****, Vance *** **** **** that **** ********* ***** is *******, ** **** also ****** * **************** ** *** ******* security ******** **** *********/******* integrations.) ** ** ***** by *******-*****************.

*******:**** ** ******** ****. Its **** ******** ****** schools *** ***** ************ to ********* ****** *********** access ******* ***** ** matchlists.

*** ****:****** ******/*******, **** **** not ***** ******** ***** on *** **** **** are *********: *** ***** use **** ** *********** teachers *** *******' ****** to ****** **********. *******, Vance **** **** *** looking **** ***** ****** recognition ** ****** **********, bus ***, *** ***** areas. ***** **** *** such *** ***** ** "opt-in", *.*. ******* *** don't **** ***** **** to ** ******** ********** can *** **** *** of *** ****** ** they ****. (*******, **** is *** *** **** for ******* ** *****, where**** ******** **** **************** **** ***** **** on ****.)

********/***********:****'* *************"**.**% ****** ********". ***** said *** ******* *** "2-4 ***** ****** **** same ********" ******** ** other **** *** ****** control *********.

*** ********:***** **** ****'* **** is **** *********** *******, **** ******* ******* in *******.

*** **********?"*** ********* ** ***********, there's ** ***** *****", Vance ****.

ToughDog ********: ***** **** ******* **** *** *********

******* **********/***********: ********** * *****-***** *********** of ****** ***** *** products. ** ** ****** a ******** *********** **** oriented ******* ********** / retail *********.

*******:*** ******* *** * facial *********** ******* ** its *****:

IPVM Image

*** ****:****-******** **** *** ******** is ****** **** *** VIP ******** *********** ** detecting "*********** ****** ******** a ******** ********." ****-******** said *** ********** ** "more ** ** ******** trend ****** **** ********* customers *** ****** ***". "It's *** ** **... we're ****** ******** ** move ***** *********," ** added.

*******?** ******* ********* **** facial *********** ********* ** the $*,*** *****.

*** **********?*** **** *** ******** is ***'* **** *****, Diaz-Gonzalez ******.

Virdi: ****** "*****'* ****" **** *** **** ** ********

IPVM Image

******* **********/***********:*****(*************** ********* **.) ** * ***** Korean ****** ******* ********** manufacturer, *** ** ****-****** oriented.

*******, ***** *** ***** claimed **** **** *** "world's ****". *** *******'* website ************* ****-* *** ** powered ** "*** *****'* highest-performance **** *********** *********."

***** ******* *** **** said **** ***** *** based ** ******* ********* devices "**********" ******* ******* "we ****** **** ***** brands". **** ******** **** proving **** *** *** available. ***** **** *** appear ** **** **** any **** ********, *** widely-accepted ************* ******** *** facial *********** ***********.

*******:***** ********* ******** *********, ********* ********* ** main *********, ***** **** more *********** ****** ******* products. **** **** *** company ** *** ******* of *** **** ** South *****, ***** ** is *** *** ****** control ****** *** *** government *** ********, ********* to ***.

*****:**** **** **** *** end *****, *** ********* are ****** $*** ** $800.

********:**** ****** *** ******* had "***** ** **%" accuracy. *********'* **************** ****-* *** ******** can ******* ***,*** ***** within * ******.

GDPR ‘*********’ ***** ******

**** ******** * ****** of ****** *********** ***** at *** **** ***** they **** “**** *********”. This ** * ********** claim, ******* ** ********** products *** ******** **** compliant. ***** ** ** official ********* ** ******* GDPR **********, ***** ********** states **** ****** *** sort ** ***** ***** certification *** ** ****** on ***** **************. *** more, ******** ******** *** *** GDPR *********, ** ******** Can **.

  • ***********: **** *** “**** compliant” ****** ** *** main *****
  • *********: ****** ******* ******* Sekiguchi **** **** *** FacePro ****** “** **** compliant”

** ******, *** *** majority ** *** **** attendees **** *** **, EU **** ********** ** not * ********* ******.

More ********

**** ***** **** ******** of ****** *********** *********. If ***** *** ******** companies, *** ***** **** to *** *******, ****** ask.

Comments (37)

Charles, good work!

We obviously did not get every facial recognition provider. The most notable, in terms of marketing at the very least not covered was Anyvision. However, we are setting up a test of Anyvision currently and have covered them previously - AI Startup Anyvision Raises $28 Million (Now $43 Million) Led By Bosch and Sales Turnover At Anyvision

Other facial recognition providers that you want to be covered, let us know.

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I would like to see more about Face First. One large customer in my region in particular uses them and their director of HR said they were very impressed by it.

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I would like to see Facefirst testing as well.  Thanks.

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VisionLabs who are the algorithms behind NX Witness/DW Spectrum FR offerings.

Nirovision who are offering a mobile only subscription service

Both of whom were in Vegas this year.

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Nice work but I would prefer to see your take on BriefCam, AnyVision and Blue Line Technologies.

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I did try to interview AnyVision but their PR guy left Vegas early. We do have a short booth profile of them on our main show report.

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  • Inaccurate accuracy claims: many companies said their face rec software had "98%" or "99%" accuracy but were unclear about how they derived them or what that meant in real use. Given the vagueness, we would be skeptical.

Many folks derive this metric from their performance on the Labeled Faces in the Wild dataset.

And if anyone is looking to build their own functionality, I recommend taking a look at: https://github.com/ageitgey/face_recognition . face_recognition has 99.38% accuracy on the labeled faces in the wild, and is most likely within spitting distance of anything proprietary. 

 

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I did read at least through Avycon ;) 

Nice work on this, this type of overall coverage has been missing in the Facial Recognition arena. 

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We just made a payment and have now removed the last line of this comment.

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Great article! Would like tests or reports on Face First, Herta, and BlueLine. 

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In related news: 

Teenager sues Apple for $1bn, claiming facial recognition led to false arrest

Sounds like total nonsense to me; Apple claims they don't use facial recognition in stores.  Just more confusion about security in the general public.

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Suprema has a facial recognition reader called facestation 2 and also had a new face lite which was introduced at isc west. Surprised Suprema was not on this test 

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Indeed, that is not a great mistake, but I would have been pleased to have the Suprema new FaceLite reviewed as well. I am sure we have good reasons for that, either on IPVM or on Suprema side

 

Now, Charles (congrats for the article btw), if you want to have a quick wrap up about Suprema FaceLite:

 

1- There are two main technologies for Face Recognition:

   - Optical solutions (CCTV based): these are based on algorithm/pixel performance only. It can be used as black listing (Stadium, Retail, Vandalism) but it is not enough for white listing (ie: access control)

- Infra Red Solutions (Suprema and others): these are based on Light emission + IR sensors + Algorithm + processing power. Advantage of IR are: distance 15cm  to 1.5m (it filters background and all related issues), works in any light conditions (unlike CCTV that can take a face with sun from the side), makeup/painting on face, Face Face/Images detection (easier than Optical). These ones are safe enough to be used for white listing (=access control).

 

2- FaceLite is working same as Suprema FaceStation2, with Infra-Red templates (it's compatible).

Cool stuff: FaceLite is 43% smaller (size) than FaceStation2, and the price follow the same 43% off trend. That brings the Flite IR face recognition reader to the price of Fingerprint reader (= BioLite Net : BLN2-OAB). But still you have the high performance/reliability/security. No sacrifice on this!

Limitation: Face template is too big to be encoded on a card (>8KB) and Suprema Face Models are "evolutive" (maching learning: each time you check your face on a reader, it is updated). The related drawback is that Face cannot be stored on RFID cards (EV1/EV2 / Seos). Instead it is stored in Central Database or in Reader itself (my preferrence). The # of face models are limited to 3,000 (1:N, Identification) and to 30,000 (1:1, Verification, that case you need to swipe a card or input an ID before authentication). Compared to FaceStation2 (FS2), you also lose the second optical camera (that I like for user interface or Picture logs), you lose the large touch screen, you lose Android OS, you lose the Video Intercom possibility. But that's in line with the 43% off in price point!

Privacy: Face templates are stored on central server (encryption: AES 256) or on readers (AES 128), with possible "Tamper secure" option => if the reader is removed from wall, it factory resets and loses all memory (Users, Face Models, Logs, Encryption keys, ..). Face Models are being transported from Central Server <=> Readers via TCP, using TLS 1.2 encryption/certificate.

 

https://www.supremainc.com/en/hardware/compact-face-recognition-terminal-facelite.asp

 

Sorry because if it is me making the technical pitch (me=Suprema employee) then it is less neutral/critical in the description. But feel free to further question me (you guys have my email, @IPVM).

 

/Baud

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Just in reference to Axxon who claimed they made their own technology.

That's in complete contradiction to their own information which states that they use the Cognitec SDK.

Comparisons are based on Cognitec's face recognition technology.

and Cognitec and Verilook for their facial search.

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You are right. We use Cognitec, but not in Axxon Next. We have the second product - Axxon Intellect. This product is an integration platform and, for example, we have also VisionLabs engine there. Verilook has not been used in Intellect at least for the last several years.

And thank you very much for finding this. I'll pass this information to our marketing team to fix this.

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Manufacturers, take note, Axxon's response to criticism is the way to handle it - address it directly, explain your position, be polite.

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IPVM TEAM, we are interested in receiving an analysis or feedback of the brands FACE FIRST, HERTA and NEC.

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Same here, would also like to see these three and Panasonic in comparison.

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Re: If there are specific companies, you would like to see covered, please ask....

What about INAXSYS ?? I visited them & saw a demo at ISC WEST which amazed me. Photos of the person sideways and old photos when the person was younger could be enrolled/compared with the faces captured and showed in the query results as positive results.

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Thanks for mentioning Inaxsys.  We've reached out for more details and will follow up.

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I would like to see a full test of a few of these, specifically SAFR as i work with a local school district who are hyper-aware of access control at the moment.

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Curious why BriefCam, Anyvision, NEC, Vintra and others were left out from this writeup.

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We've covered them in other posts, e.g., Vintra "AI-Powered" Video Analytics Startup Profile

We will be doing more coverage of facial recognition companies across the board.

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Anyvision's PR guy left Vegas early, so we were unable to conduct an in-person interview. And NEC was not present at the show at all. As for BriefCam and Vintra, I'll definitely keep an eye out for them next time.

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iOmniscient

"Excelled in “unfriendly, crowded conditions” and that it can facially recognize “35 moving people” in one frame. Also, the system doesn’t need a full face to work - up to 30 degree angles still allow for accurate recognition, Huntley said."

Some conditions and or limitations of note based on the claim above:

1.  Faces must be "enrolled" using actual video footage captured from an video surveillance camera that is used in the iOmniscient deployment to achieve the results stated above.  While this is viable in a situation where you may be looking to exclude someone from your property, or alert you to someone coming back to your property, it is not viable when you are trying to match faces from a "watch list" that uses a single still "2D" facial image (typical of law enforcement).  In most deployments this is the real use case. If you are matching from a single still image the match success rate drops to 50% or less.  The company will argue that this is a much higher success rate than a human operator responsible for watching many cameras for 8-10 hour shifts.  And, while this is true, the marketing materials and presentation made by their own sales representatives omit this important detail resulting in an end user that can never achieve the success rate in the use case they expected.

2.  This company does not understand camera lenses. Plan and simple. To achieve the partial face/"30 degree angles" the subject must walk directly toward the camera for nearly 10 full steps.  In order to meet this requirement, cameras must be placed at a long (extremely long) distance from the focal point or ideal target defined by iO.  This results is risk of obstructions prior to the subject reaching the required number of steps or "time" spent in front of the camera, due to the distance and height requirements of the cameras. Even when the near impossible is achieved with camera placement and subject "walk time", the statement of achieving match success without full face / 30 degree angles was still not achievable in test deployments.  The only deployment in which this statement may hold true is a stadium environment in which the camera is placed across the stadium and watches the seats (still subject) from a very long vantage point, but we did not test this theory.

3.  Unfriendly crowded situations. See #2 above.  Crowded, maybe.  Unfriendly, no.  Situations must be ideal, near perfect, for success.  Anything defined as unfriendly or chaotic did not perform in our testing.

For instance, to capture a set of doors in which the subjects cannot be forced down a specific path through environmental design will require a minimum of three cameras but ideally four cameras to ensure that any path of walk is within the acceptable parameters.  And remember #1 above?  The subject must be enrolled from video from each of the three or four cameras in order to meet success rates described by the company.  Enrollment and matching from a still image will be met with much lower success rates, if match success rates are achieved at all.

Pricing:  While per channel pricing is less expensive (but still in the thousands), facial databases are extremely expensive. Average database pricing runs $15,000 for 4,999 faces (this does not include SQL licensing or hardware).  So if your use case is a college campus and you want to alert to an "unknown" person entering student housing after hours and your database consists of students and staff you will easily exceed the database capacity (think white listing vs black listing).  

Architecture: Each server can manage roughly 4 facial cameras. However, even when operating within that limit we saw significant video tearing.  iO evaluated and recommended that we "reduce frame rate and resolution".  We did, however lower frame rate results in a longer time the subject must be within the ideal capture zone (or a longer "walk time". 

Each server is essentially its own entity when looking at this from the global use and reporting perspective of an end user. When running a report from the iQ Client, reports can only be run from the server that is actively selected. When you combine this with the fact that only 4 facial cameras can be supported by a single server, running global reports across as few as 12 cameras requires operators to run three different reports which then need to be exported to excel and combined to create a single report. Many features of the software are buggy such as GUI resizing based on monitor resolution, freezing client GUI, auto login issued when accessing facial recognition servers, etc. None are deal breakers and are reportedly going to be addressed in the next software release.  A more difficult issue to address quickly is the outdated GUI look and feel.  A refresh is needed.

 

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#10, thanks for so much, very informative! I've interacted with over the years and found them to be super aggressive in marketing but less forthcoming with technical details.

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Great Reviews, many thanks for that.  We are questioning the GDPR side with a few Facial pattern companies, also talking to UK government and councils.  We agree with your startement "GDPR ‘Compliant’ False Claims" and feel this is a bit of a sweeping statement.  GDPR covers the collection of data - Camera - the process of data - facial pattern, the storage of data etc.etc - Legitimate use of AFPR is not just covered by GDPR but by lots of other regs such as, DPA 2018, PERC2019, ECHR, Human Rights Act 1998, civil liberty etc.  We post a fail bit on LinkedIn and have also written a 20 page document around data protection and Facial pattern - just in the process of adding to that document.   

Further discussions needed around the use, i believe ;)

https://www.linkedin.com/feed/update/urn:li:activity:6534427465450876928

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Just realized there are 8 Chinese, and 12 other brands in the report.

So I guess this makes it "20 Facial Recognition Providers Profiled"?

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Youngmu, you are correct! After we published, we realized we had one more than we thought :) 

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Please test Ultinous. A Hungarian Ai-based technology company.

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Just in case someone was interested in interviewing also TechnoAware about its new TFace,
...well, I would be at disposal.....:)

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Interested to know why StoneLock was not reviewed?

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Bennett, StoneLock was not listed as an exhibitor at ISC West.

This post came out of Charles walking the show floor and visiting booths. That noted, we certainly did not cover every facial recognition company even at the show due to limits of time.

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Hi

I know that Tiandy was also in Vegas, displaying their new series of facial recognition cameras. It would be interesting to learn how they compare to others..

 

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I didn't interview Tiandy, unfortunately - will look out for them at the next conference.

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Herta BioSurveillance NEXT seems to work ok

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Anyvision vs FaceFirst ?

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