Axxon Behavior Analytics And Facial Recognition Tested

By Rob Kilpatrick, Published May 26, 2021, 11:10am EDT (Research)

*****'* ******** ************** ** "********* *********** ********* ********** by ********* ******** ***** ********" *** their****** ************* "**** ** *********** ****** ***** were *******" ** **** ***********. *** how ** **** **** ** *** real *****?

IPVM Image

** ****** ******** ********* *** ****** recognition *** *+ *****, ********* ***** issues:

  • *** **** ** ******** ********* ****** postures **** ** ****** *****, *******, or *******?
  • ** **** ********** ****** ****** ********** violations?
  • *** ** ****** ****** ****** ******** detection?
  • *** **** ** ******* ** ****-***** surveillance *********?
  • **** ****** *********** ******* ******** * person ** * ********* ******?
  • **** ** **** ***** ******* ******* the *****?
  • *** ** ***** ********* *** ***** of ****** ******* **********, ****, *** masks?
  • *** **** ** ******* ** ***** in *** ***** (~* ***) ** dark/IR (~*.** ***)?

*******

*****'* ******** ********* *********** *** ***** in *** *******, **** ******** **** as ****** ***** ********** ******** ***** man ****/**** ********* ******** **** **** misses *** ***** ******, *** ****** distancing *** ******* ********* ****** ********** only ** ******** ******.

*****'* ****** *********** ********* **** ** daytime, *** *****, *** ****/** ****** when ***** **** ************, ******** ***** angles ****, **** ** ***** ********* or ****** *********** ** ********** ********, but ********** *** **** ************* ******* confidence (****** *** *** ***** ******), while ***** ******* ********** *******, ******* frequent ******.

************, ***** ******** * ******** *** application ** ****** ********* (***** ****) and **** **** *** ********'* **** ****** ************ *** **********, ** ***** ** the ********* ****** ****** ** ******** in ******** *****, *** *** ******** be ***** ** *** ********* **** search.

****** *********** *** **** ******** **** most********* ** **** *********** **** **** *** *** ******* weighted. *******, *** *********** *** ********** inaccurate, **** *******'* **** ************ ******** as *-** ***** ****** **** ******, tested ** ******** ******* ** *** from ***** ** **+ ***** ***.

*******

*****'* ******* ** "***-****", ***** **** than ********** ****** *********** ********* **** as ********* ** ********, *** ****** than********'* ********** ****** **** ***($***). ************, ******** **** ** **** and****** ********** ************ ***** **** *** **** ** several ***** ********* *** ******* (******* ********* ********)

***** ******** ********* *** ****** *********** are ***-** ******* *** *** ***** Next ************ ***/** ***** **** ******** editions. ***** ********* *** ** ******** (all ******** *** *********, *** ************):

  • ***** **** ******** ****** *******: $*** USD ****
  • ***** **** ****** *********** *******, * video *******: $*** ***
  • ***** **** ****** *********** *******, ** video ********: $*,*** ***
  • ***** **** ***** ******** ********* (**** detection) *******, * ***** *******: $*** USD

*****'* ***** ********* ********* *** ******** at ** ****** ** ***** **** Universe *******.

Behavior ********* ********

*****'* ******** *********, *** "********" ** "stick ******" *********, *** ******* ** detect * *********, ***** *****. ** tested *******, *** ****, ***** **, active *******, *** "*****-******** ****** *********" (aka ****** **********), *** **** ****** applications.

IPVM Image

*******, ***** **** **** ****** ******* detection *** ****** ******* (******* ******* masking) *** ** ****** ******** *** will ** ******* ** ****** ********.

Man **** ******** ******** ***********

** ***** ** ******** ********* *** down ******** ********* *** **** **** draw ******** ***** ********** *** ***** of **** *** **** ** * person ** *** *****.

IPVM Image

Behavior ********* *** ********* ********

** *** *****, ***** ******** ******** the ******* ** *** ** **** arms (*.*., ***** ** ** * robbery), ***** ****:

IPVM Image

Man ****/****** ******* ********* *** ********

*****'* *** ****/**** ********* *** ********** in *** *****, ***** ******** ****** when ******** **** ****.

IPVM Image

***** **** *** ******** ******* ** this **** ******* *** ******* *** far **** ********, ***** ** *** typical ** ***** **************:

** ** **** **** * ****** deviation **** *** ********. ** *** experience, **** ***** *** ****** ***** in *** ***************, ******** ** ** not **** **.

*** **** ********* **** ****** ** detect ******** ******* ******** ****** ** away **** *** ******:

IPVM Image

***** **** ** **** ****, *** detector ***** *** *** *** *******'* legs *** *** ****** ** ********* position, ************ * ****** ****** *****.

***** *** ** **** ******** *** this ********. *** **** ** *** reason. *** ************** ** ** *** the ****** ****** **** * ********* angle ** ****** *** ***** ****.

*******, ** **** *****, ***** **** not ******** ****** *** ** *** detector ********** *******.

IPVM Image

****** ******* ********* **** ******* **** viewing *** **** ** * ****** sitting ****.

IPVM Image

** ***** *** ****** * ****** sitting ****** *** ******.

IPVM Image

Social ******** ****** ***** ******** ** ******* ******

****** ********** ********* ************ ******* ** people ******* **** *****. ***** ***** two ****** *** ~**' ***** *** Axxon ****** ******** **** *** **** than *' *****.

IPVM Image

**** **** *** **** ** ****, Axxon **** *** *****.

IPVM Image

Active ******* ********* ***** ******

****** ******* ********* ***** ******* ********** when * ****** ****** ***** ****.

IPVM Image

***** ******** ** **** **** ** not ******** ******* *** **** ** taken *** ** ****** ********.

Face *********** ****** ****

***** **** *********** **** ****** ****** when ****** ** *** ******* (********* or *********) *** ******** (***** *****). Unlike **** ***** **** *** *********, it **** *** ***** ***** ** search *** * ******** ******* ** the ******* ** ****** * ****** of ******* ***** **** ** *****.

IPVM Image

***** ****** * ******** ******** ***-** (**** ******) ***** ****** ***** ** ****** faces ** ******** ***** ** ****** photos ** ****** (*** *** ****). However, **** ****** **** * ********* UI *** **** *** *** *** same **** ******* ** **** **** rec.

***** **** *** ********* ******** **** asked ** ***** ***** ****** ***** in *** ******* ** **** **** rec ******:

**’* **** ******. ****** *** *********** process ** *** ******* ** *** Face *********** ** ***** **** ****** for ****** ********. ** **** **** you **** **** ** **** **** a ****** ******* ** * ******** list. **’** ***** ** ********* ********** user ********** ** **** ******** *** other ***-*****.

No ***** ********* ** ~* ***** ** *******

** ~* ***** ** *******, ***** were ** ***** ********* **** ***** Axxon's ******* ********** (**) ** **** lowering *** ********** ********* ** **-**. This ******** * **** ******* ** ~100 ****** *** ~*** ****** ***** detected ** ******** *******.

IPVM Image

False ********* ********** ** **-**% **********

***** ********* ******** *** ********** ********* to **-**% ** *** **** ********* to ******* *********** ** *** ***** or **** ********* ******** *****. ** our *****, ******** *** ********* ** 65-70% *** *** ***** ******** ******.

*******, ******** ** *******, ** **-**%, would ************ ******* ***** ************.

IPVM Image

Reliable ******** ** **** ***** **** ** ***** ********* (~**°)

**** *********** ********** **** ******* ** ~5 ********** ****** ** **** ***** (from **** ***% ** ***/*** ***), even **** ******* **** ******* **** with ***** ******** (~**°).

IPVM Image

**** **** ******* ** * ***** angle ** *** ****** ** **** downtilt, ********** *** **** ******* ** ~5 ********** ******.

IPVM Image

No ********* ** **°

***** **** *********** *** *** ****** faces **** ****** ******* ** *******, which **** ********* *** ******** ********.

IPVM Image

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

***** *****'* *********** ********** *********, **-**%, subjects **** ******** ********** ** ~* lux *** ***** ***** **% ********, though ********** *** ******* ** ~** percentage ******.

IPVM Image

*******, ** ~* *** ***** ********* angles (~**°), ********** ******** **** ******, dropping **** ** ~*-** ******.

IPVM Image

Dark (~*.***) ********** ****

******* ** *** *****, ************ ** the **** (~*.***) **** ***** ******** with **° ******** ***** *** *********** 65-70% **********, ******** ********** ********* ******* by **-** ********** ******.

IPVM Image

** **** ** * ******* ***** of ~**° ********** **** ******* ** ~10-15, ***** **** ***** *** ********* during *** *****.

IPVM Image

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

*** ********* ***** *********, ** ********* to *** ******* ******. *** ***** presence ******** *** *********** *******.

Sunglasses *** **** ************* ****** **********

* ****** ******* ********** *** ***** recognized ** *** ******* ***** *** recommended ********* ** **-**, **** ** downtilts ** ~**°, ****** ********** ******* by ~**-**.

IPVM Image

*********, ******** ******* **** **** ********** at ********* ** **° **** ***** walking **° ****** *** ******, **** a **** ** ********** ** **-**.

IPVM Image

************ **** ******** ***** * ****** was ******* * *********** ** *** and **********, *** **** ** ******* angles ** **° **** ********** ******* by ~**-**.

IPVM Image

***** **** **** ***** ******* **** expected **** ********* ******** *****.

Masks ***** ****** ***********

****** *********** ********** ******* ** ~**-** points, ********** ********** ******* ****** ******** in *** *****.

IPVM Image

***** **** **** **** ******** ****** recognition **** *** **** **** *** will ******** ** ******* ** ****** faces:

* **** ** *********** ******* **** covering * *********** **** ** *** face ** * ****** *********. *** even ***** ***** **********, ** *** trying ** ******* *** ******* ** recognition ******* ********** ******** ** ****** faces. **** **** ** ******** ** reduce *** ***** ** *********** ** people ******* ***** ** ~ ** times **** *** **** ****. ** the **** ****, *** ***** ** face *********** ******* ***** ** *** times ****. ** ******** ** **** on ********* *** ********* ** *** face ** * ********. ** *********** improve *** *********’* *********** *********** ******** conditions.

Separate ******** **** *** **** *******

** ***** *** **** *********** ** perform *** **** **** ******* *** set ** *** ***** **** ********, the **** *** **** *** ***** to *** ******** ** ****** ******* a *** *********, ***** ** *** below *****.

Mask ********* **** ** ******

***** **** **** ********* ************ ****** to ****** * ****** ******* * mask ** **** *** * *****.

IPVM Image

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

**** ** *** ****** **** ** that *** ********* ******’* *********** ***** the ***** ****, *** *** ******* mask ******. ** **** **** ************ train *** ****** ** ***** **.

************, **** ********* ***** ** ******* by ******** *** ***** **** ** a ******** **** **** *** ***.

IPVM Image

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

***** **** *** ********* ***** ** tricked **** *** ******* ** ******* only **** **** ***, ** **** case, ** ***** **** * ****, please ***** **** *** ***:

IPVM Image

~130-135 *** ****** *** ****** ***********

****** *********** ****** ~***-*** *** ***** was ************* ****** **** ********* **** as ******** **** ****** ** *********.

IPVM Image

Gender ********* *** ******** ** **** ****

***** ****** ********* **** *** ******** toward ****** **** * ****** *** long **** ***** ** ***** **** gender ********* ** ** ** *** testing, ********* ** **** ******** ****** detection.

IPVM Image

***** ********* **** **** ******* ** men **** **** ****:

*** **** *********** ****** ** ***** on ****** ****** *** *** ****-**** contain ******** ** *** **** **** hair.

Age ********* **********

*** ********** *** **********, ********* ******** the *** ****** **** *** ******'* actual *** ** *-** *****.

IPVM Image

***** **** **** *** ******** *********** and **** *** ********** *** **** for ***********/****** ********, *** ******** ****:

*** ******* ** **** ******** ** to ****** *********** **** ****** **** individual *** ************ (***** *** ** inaccurate). *** ********, *** *** ********** feature ** ****** *** ****** ***** statistical **** ** **** ******* **** in **** ******.

Human ********* ********** ******* *******, ********, **********

** *** *****, ***** ********* ********** alerted ** ****** *******, ********, ** obstructed.

IPVM Image

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

*******, ***** ********* ********** ********* ***** alerts ** ***** ** *** ***** of ****, ***** ****:

IPVM Image

No ***** ****** ** ****** *******

****** ** *** *** ***** ***** on ****** ****** ******* **** ** major ***** *******.

IPVM Image

************, ** *** *** ***** ***** on ******* ** *** *****.

IPVM Image

*****

*** ** ** *** ******** ******** multiple *****, *** **** **** ****** the ******** ** *** ********* ******** and **** ******* ** * **** and ******* ** ** ** *****, shown ** *** ***** *****.

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

*** ********* ******** **** **** ****** testing:

  • *********: *.*

Comments (7)

*****; ****, **** ******* *** ************* article. ***** ***.

"***** ******** ** **** **** ** not ******** ******* *** **** ** taken *** ** ****** ********."

*** **** ********* ** ** ***?

Agree
Disagree
Informative
Unhelpful
Funny

***, ** ** ***** ***** *** of ****** ******** *** ** *** prone ** *** ** ***** ******, a ****** **** ******* ***** **** up ** ***** ** **** ***** most ****** ******* ** ****** ******* alert ** *** *****.

Agree
Disagree
Informative: 1
Unhelpful
Funny

"***, ** ** ***** ***** *** of ****** ******** *** ** *** prone ** *** ** ***** ******, a ****** **** ******* ***** **** up ** ***** ** **** ***** most ****** ******* ** ****** ******* alert ** *** *****."

**, * ******* **** ***** **** developed **** * ******* **** **** would **** ********* ** ******** * firearm ** *** ******'* *****. ***** sense *** ** **** **** **** looking ** **** ********.

Agree
Disagree
Informative
Unhelpful
Funny

**** ******** ******* *** *********. * question ********* *** ***** ******* - it *** *** ***** ** *** write ** (** *'* **** *** missed **!) ******* *** ****** **** for ** ****** ************ ** ********* licenses. *** *** ****** ****?

Agree
Disagree
Informative
Unhelpful
Funny

**** *****, **** ** **** ************ models ****** ***** ****. **** ******* is *********.

Agree
Disagree
Informative: 1
Unhelpful
Funny

****** *****. **** ********* **, * had **** ******** **** **** ************ prices.

Agree
Disagree
Informative
Unhelpful
Funny

** ** *** ********* ********. *** can ** ** ****.*** ** *** more ***********.

**********: **** ** * ***** *** for *********

Agree
Disagree
Informative
Unhelpful
Funny
Subscribe to IPVM Research to read the full report.
Why do I need to subscribe?
The IPVM Research Service includes products tests and shootouts plus competitive and financial analysis, helping decision-makers better evaluate purchasing, partnering, developing, and/or competing against companies in physical security.
Already have an account?
Loading Related Reports