Facial Recognition 101

By: IPVM Team, Published on Mar 18, 2020

Facial recognition interest, use and fear is increasing. This guide aims to teach you the fundamentals of facial recognition.

IPVM Image

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

  • **** *********
  • **** ***********
  • *:* ** *:*
  • *********** ** *************
  • ********** / ***** ************
  • ********** ****** ******* ** Facial ***********
  • ******** / *********** ****** Recognition - *****, ****, Sunglasses, ***.
  • ******* **** ** ***** Face ***********
  • ****** / ****-******* *********** Issues
  • ******** *********
  • ********
  • ******* ********
  • **** *********** *********

Facial *********

****** **** *********** *** be *********, * **** needs ** ** ********. Typically, * *********** ****** is ***** **** *** face. **** ** * relatively ****** ********, *** much ****** *** **** accuracy **** **** ***********.

*********** ****** ** * fundamental *******:

  • ***** ** *****: ***** it ** '****' ** detect * **** ******* directly ** *** ******, performance *** **** ************* depending ** *** * person ***** ***** **** (down, ****, *****, ***.)
  • ******** ** ***** - While ** ** '****' to ****** * **** looking ******** ** *** camera ** * ****-*** scene, *********** **** **** significantly ********* ** *** lighting ********** ** *** scene (*******, ********, *****, etc.).
  • ********* **** ** ****** faces - ******* *** determining **** ******* *** in * ***** *** whether ***** ******* *** a **** (******* ** a ****, * ***, a ***, * ******* ball, ***.) *** ** very *********** ***** **** video ************ ******* (*.*., IP *******, ****) **** limited ********** *****.

* ****-*** **** ******* directly ** *** ****** will ** **** ** detect:

***** *** **** ** a **** ** *** lighting **** ** **** challenging:

Facial ***********

****** *********** ******* *** question "***** **** ** that?", ***** ** ********* information **** ************* * crime ** ******** * suspicious ******.

IPVM Image

****** *********** ****** ****** unless *** **** *** already **** ********.

1:1 ** *:*

****** *********** ****** ******** a ****** ** * specific **** (*:*) ** identifies * ****** **** many ***** (*:*).

*:* ******** ** ****** Verification. * ****** ********* photo ** ********* ** the **** *********** ******, and ** ********** ** the **** ******** ******* that *****. *:* ******** is ********** ****:

IPVM Image

*:* ******** ** ****** Identification. **** ****** *** presented ** *** **** recognition ******, *** ** determines ** *** **** matches *** ** ***** photos. *:* ******** ** relatively ****, **** ****** than *:*:

IPVM Image

***** ************ **** *********** applications *** ********* *:* for **************.

Cooperative ** ************* **** ***********

*********** **** *********** ** relatively ****. **** ** when * ****** ***** and ******** ***** ******** at *** ****** (*.*., access *******, ******** ***********,******):

IPVM Image

************* **** *********** ** relatively **** ******* *** person *** ** ********* to *** ****** ** there ** ***** *** know *** ** ****** to ***** **:

********, ***** *** ****** is ********* *** ******** conditions *** ******** *** challenge, ********* ** ************* lower ********.

Logistical ****** ************* **** ***********

******* **** ****** *** unaware **** **** *********** systems ***** *** ************ cameras *** ********* ********* high ***** *** ****** to ***** **** *****, uncooperative **** *********** ** a *********** ********** ** real-world ************.

**** ***** **** ********* good **** *********** ******** with **** ************ ******* is **** ***********.

Resolution / ***** ************

**** *********** ******** ************* higher ********** ** ****** per ****/***** **** ******* person ********* ** **** detection. **** ************* ******* requirements ** "****** ******* the ****" ** "****** per ****". ***** *** specifications ****, **** ************* require ********* ******-***-**** (~*** ******-***-*****).

*** ******* ****-***** ************ cameras, **** ********* ***** short ********* *** ****** accurate ****** ***********:

IPVM Image

Mounting ****** / ****** ********

**** ************ ******* *** installed ** ******** ** above **' *** ****** so **** *** *** of *****. **** ***** that **** ******* *** aimed ***** ** ** the *** ** * person's ****, ***** ***** face *********** *********** *** a ****** ** *********:

IPVM Image

**** *** **** ** capturing ****-**** ******, **** facial *********** ******* **** specific ******** ************ **** minimum ******* ** ******* angle ** **** *******.

Angle ** ********* / ****** ********

******* **** ************ ******* are ********* ** ** next ** *****, ** they *** ***** ** much **** ** * room ** ********, **** do *** ********* ******* a ****** **** ** faces, ***** ********* *** side ** * ******'* head:

IPVM Image

***** **** ****** *********** systems **** **** ** match ***** ** * high ***** ** *********, even **** **** ******* a ***** **** ** so **** ************* ***** accuracy ** ********** ******** to ****-**** ******.

Lighting ******

***** **** ************ ******* are **** ** ******* enough ******* *** ****** detection ** *** *****, facial *********** ******** ************* higher ******* *** ***** clarity.

**** ******* *** ***** low-light ****** ********** **** facial *********** ** *** light **** ***********/**********:

**** ******* ******* ** LEDs ** ********** **** areas *** ******** ******* captured ** *** ******. However,** *********** ****** ****************** *** ******** ******* and ******** **** *********** confidence:

IPVM Image

Avoiding / *********** ****** *********** - *****, ****, **********, ***.

**** ******* ***** *** people ** ******** ** inadvertently ********* *** *********** of ****** *********** *******:

  • **** *** **********
  • *****
  • ******* **** / ****
  • ******

Hats *** **********

********* ** *** ******** (interior ** ********) *** region, **** *** ********** are ******** **** ******* reasonably ******* **********. *******, hats *** ********** ********** impact ****** ********* **********:

IPVM Image

***** **** ****** *********** systems ****** ***** ******* to ******* ****** *********** with ****, ********** *** even *****, ** ****, it ****** ******* *** confidence ***** ** ******* and ********* ********* *** probability ** ******.

*****

***** *** ******** **** common ** ****** ******, not **** ** ******* facilities, ** *** ****** of *********** *********.******* ***** ************* ******** match **********, **** ****** ********* not ********** ** ***:

IPVM Image

*** ******** ** **** recognition ********** **** **** not ******* *** *** decrease ** ***** **** are ******** ***** ******* masks, ***** ***** ******* compound *** *********.

Looking **** ** ***** **** ***********

******* **** ** * simple *** *********** *** to ********* ****** *********** systems. ** ******** ** the ********* ** ******* camera ************ *******, **** people **** ****, ** habit (*.*. ******* ** smartphones):

IPVM Image

***, ************* ********* ** other ****** *** **** to ***** *********, **** known *** ***** **** looking **** ***** ** harder *** ****** ** facial *********** ******* ** identify ****.

IPVM Image

Crowds / ****-******* *********** ******

**** ********* **** **** recognition ** ******** *** (e.g. ********, *******, ********) often ********** ***** ****** of ****** **** ***** issues **** **** **** detection *** **** *********** systems.

** ******** ** *** high ****** ** ***** causing ********, ***** ***** blocked/obstructed *** **** *********** can ***** ******** ********** for *** **** ****** in * ***** **** period.

Liveness *********

****** *********** ** ***** widely ******** ** * solution ** ******** ****** control. *******, **** ******* do *** ***** ******** detection, ***** ***** **** can ** ******* ** believe * ***** ** a ****** ** * real ******:

IPVM Image

******** ********* ** **** commonly ******* *** *** be ********* ** ******* specialized ********. *** ****, see:****** *********** ******* **** Simple ******** ********* ****.

Accuracy *** ****** ***********

********* ******** *** ****** recognition ******* ** **** hard. ******* **** ** market **** **********, **********-******** metrics **** **.*% ********:

IPVM Image

*******, ********** ******* ****** recognition **** ***********:

IPVM Image

***** **** ****** ** beyond *** ***** ** a *** ************, *******, it ** ********* ** understand **** ***** ****** express *** *********** ******** between ***** ********* (*.*., matching *** ***** **** to ******* ****) *** false ********* (******* ** match * **** ** a ****** ** *** watchlist).

IPVM Image****** * *.* ********** standards *** ********** ********** that ***** **** *********** algorithms ** **** ** their *********** *********** ****** ******* (FRVT).

****** **** ******* *** cited ** **** ************* as * ********* ****, however, ** *** ** difficult *** ***-******* ** understand *** ******* ** the *******, ***** *** abstract *** ********.

**** **** ********** ************, the ******* ***** ****** that ****** *********** ******** is ****** ********* ** the ****** ** ** being **** - *.*., how *** ***** *** camera ** ******* *** what ****** *** ******* or ***** **** *** undermine ***********.

Ethical ********

**** *********** *** ******** mainstream ***** ********* ******* of *** ******* ******** of **** ***********, ******* mass **** **********, ******************. ********, **** *********** systems *** ** **** by *********** ** ****** minorities *** ********* ******* for **** ********* *** intrusive ************ (*,*,*).

***** ** ******** ** **** ********* *** *** ********* ** *** ** due ** ****(******** *** ****** ********), companies ************* ******* **** *********** ******* with ****** ***** ********, to ******** *** ***** of **** *********** *** public ******/****** *****.

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

***** ** * **** of ******* **** *********** providers, ****** **************:

  • ******: ****** *****-*****************, **** ************* **** cheaply ***** ***** *** facial *********** *******.
  • *********: **** ****-****** *** controversial ******* ****** **** recognition *** ************, ****** control, *** ****** ************ (**** ****)
  • ********: ***-**-*** ************ ************, recently ***** **** *********** (**** ****)
  • ********: ***** ********** ********* developer, ******** ***** **** recognition (**** ****)
  • *****: ***** ***** ************, offers **** *********** ******* and **** (**** ****)
  • *********: *****'* ******* ************ manufacturer, ****** **** *********** cameras *** **** (**** ****)
  • ******/****++/*********: ***** **** *********** specialists ** *****, **** little ******** ******* *****
  • ***: **** ******** **** for ********** ****** *********** projects *** **** ***********, requires ********** *****.

Comments (9)

*** ***** **, ******* we **** ** ** not, **** **** ********** genie ** *** ** the ****** *** ** unlikely ** **** ** put **** **** **. Face *********** ** ******** more *** **** **********, one **** *** ** look ** ****** ***** and *** ***** ** Facebook ** *** *** indifferent ******** ** *** identification ** ****** ** their *** ******, ** the ****** ** ******.
******** ** ********* ** the ****, ***** ** pushing ******* **** *** "social ******" ******, ***** appears **** *** ******* to **** ******* ** what ** ***** **** public ***** ****** ***********. Yet, ** **** *** seem **** ********** ** this ** ******* ******* are ************ **********. ********* this *** * *** to ** **** ********** themselves, *** *** *********** must ** ********** **** people ******** ***'* ****.
**** ** *** **, certainly ** ** *****, use ** ****** *********** systems ** * ****** environment ** ******* ************ traction. **** *** ***-**** perspective *** ******** ** deploying **** * ****** appear ** ******** *** other *******.

* *** *** ***** of ******** ********* ***** this *******. ***********!

******, ******! ** **** a ****** ** **** -****** *********** ******* **** Simple ******** ********* ****. **'* ** *********** read. *'** ***** **** link ** *** **** of *** ******.

** ****,

*'** **** ******* **** and **** ***** ***** facial *********** *** **** hearing **** ***** ********** can ****** **** ************ reads **** *** ***********. Have *** ****** *****?

** *** ******** ******* to **** ***** *** about ***** ****** ************ about ****** *********** **** masks **. ** **** not ****** **** *** but ** **** ****** with **** ***********.

***, *** *** *** hearing **** ***** *****?

* *** ******, **** customers *** ***** ***** them *** ***** **. In ****** ***** **** their ***** ****** *** a *** **** ** company’s **, **** ** Europe. * *****’* **** or ***** ** *** actual ******** ****** *** wanted ** ***** ****.

** ***** * ******** for ******* ** * camera ************ *** ****** recognition? * ******* *** mounting ****** *** *** other ******* ******* ** this *****.

** ******* ** *** face *********** **********, **** vendors ***** *** **** to ** *******, **** can **** **** ** 45, * ***** **** vendor *** **'* ******/**** points, *** **** ** find *** *** **** suit **** *****, **** are **** ********* ** light ********** ** *** them *** **** * better ****** ** ******* the ************

***** **** ***** ******* IPVM. *** ***: ************ need *** ** * single ***** *** *:*. It ****** ******** **** the **** ** ********** through **** ***** ******** (e.g., **** *** **** or **** *** ****). So ** ** ****** control ***********, * **** may *** * **** or *** ***** *** then *** **** *** can ****** ***** **** lots ** ****** ** the ****** ** ****** the ********.

Read this IPVM report for free.

This article is part of IPVM's 6,536 reports, 881 tests and is only available to members. To get a one-time preview of our work, enter your work email to access the full article.

Already a member? Login here | Join now

Related Reports

Herta Facial Recognition Plus Masks Tested on Aug 19, 2020
Masks increase face recognition errors, but facial recognition developer...
Face Masks Increase Face Recognition Errors Says NIST on Aug 04, 2020
COVID-19 has led to widespread facemask use, which as IPVM testing has shown...
Exacq "Facial Matching" Facial Recognition Tested on Sep 03, 2020
Exacq is claiming "Accurate Recall of Every Noteworthy Person of Interest"...
The US Fight Over Facial Recognition Explained on Jul 08, 2020
The controversy around facial recognition has grown significantly in 2020,...
U.S. Government Accountability Office Urges Facial Recognition Regulation on Aug 27, 2020
The US Government Accountability Office (GAO) is urging facial recognition...
Gait Recognition Examined on Sep 14, 2020
Facial recognition faces increasing ethical and political criticisms while...
Bias In Facial Recognition Varies By Country, NIST Report Shows on Jul 15, 2020
While many argue that face recognition is inherently racist, results from one...
FLIR Screen-EST Screening Software Tested on Jun 30, 2020
In our FLIR A Series Test, the cameras' biggest drawback was their lack of...
Avigilon Face Mask Detection Tested on Jun 24, 2020
Face mask detection or, more specifically not wearing a face mask, is an...
Face Detection Shootout - Dahua, Hanwha, Hikvision, Uniview, Vivotek on Jul 30, 2020
Face detection analytics are available from a number of manufactures...
Trueface Presents AI Face Recognition, Mask and Temperature Detection on Jun 10, 2020
Trueface presented its AI facial recognition, mask and temperature detection...
Clinton Public View Monitor (PVM) Mask Detection Tested on Jul 09, 2020
Face mask detection, or more specifically not wearing one, is expanding...
Facial Recognition: Weak Sales, Anti Regulation, No Favorite, Says Security Integrators on Jul 07, 2020
While facial recognition has gained greater prominence, a new IPVM study of...
Hanwha Face Mask Detection Tested on Jul 01, 2020
Face mask detection or, more specifically lack-of-face-mask detection, is an...
FLIR A Series Temperature Screening Cameras Tested on Jun 04, 2020
FLIR is one of the biggest names in thermal and one of the most conservative....

Recent Reports

New Products Show Fall 2020 Starts Tomorrow! on Sep 27, 2020
Tomorrow, IPVM's sixth online show will feature New Products from over 25...
OnTech Smart Services Partners With Google and Amazon To Compete With Integrators on Sep 25, 2020
A pain point for many homeowners to use consumer security and surveillance is...
The Future of Metalens For Video Surveillance Cameras - MIT / UMass / Immervision on Sep 25, 2020
Panoramic cameras using 'fisheye' lens have become commonplace in video...
Hikvision Sues Over Brazilian Airport Loss on Sep 24, 2020
Hikvision was excluded from a Brazilian airport project because it is owned...
China General Chamber of Commerce Calls Out US Politics on Sep 24, 2020
While US-China relations are at an all-time low, optimism about relations...
Verkada Disruptive Embedded Live Help on Sep 24, 2020
Call up your integrator? Have someone come by the next day? Verkada is...
IP Networking Course Fall 2020 - Last Chance - Register Now on Sep 23, 2020
Today is the last chance to register for the only IP networking course...
Drain Wire For Access Control Reader Tutorial on Sep 23, 2020
An easy-to-miss cabling specification plays a key role in access control, yet...
Norway Council of Ethics Finds Hikvision Human Rights Abuses "Ongoing" on Sep 23, 2020
Hikvision's involvement in "serious human rights abuse" in Xinjiang is...
IPVM Camera Calculator User Manual / Guide on Sep 23, 2020
Learn how to use the IPVM Camera Calculator (updated for Version 3.1). The...
Installation Course Fall 2020 - Save $50 - Last Chance on Sep 22, 2020
This is a unique installation course in a market where little practical...
SimpliSafe Business Security Launched Examined on Sep 22, 2020
SimpliSafe has launched "SimpliSafe Business Security" that the company...
FLIR CEO: Many New Fever Entrants "Making Claims That The Science Just Won't Support" on Sep 22, 2020
FLIR's CEO joins a growing number calling out risks with fever / screening...
China Bems Temperature Measurement Terminal Tested on Sep 22, 2020
Guangzhou Bems (brand Benshi) is the manufacturer behind temperature...