AI/Smart Camera Tutorial

By Ethan Ace, Published Feb 20, 2020, 08:58am EST

Cameras with video analytics, sometimes called 'Smart' camera or 'AI' cameras, etc. are one of the most promising growth areas of video surveillance.

IPVM Image

But what makes a camera 'smart' or 'AI'? In this 101 tutorial, we explain.

No *********

***** *** ** ********* nor ***** ** **** cameras *** ***** '**' or '*****'. ** ***** surveillance,****'* ****** ********* ********* *** ******* ***** to *** ***** ** what ***** *** **** not.

**** ** ****, **** because ******* **** **** have ********* ** ** or * ***** ******, that **** *** **** it ** ****.

VMD *****-***** '********'

***** ****** ********* (***) is *** ******** ***** used ** ******* ** try ** ****** ********. It ** *** ** nor '*****' *** **** may ****** ** ** such. ********, ** ** important ** ********** *** differences *** ****** ********.

** *** **** **** for ***, ** **** scenes **** **** **** still, ** ******* *** camera ** ********* ****** that ** ****** *** people, ***. **** *******. On *** ******** ****, VMD ***** ****** ** falsely *********.

*** *** **** ******* because ** ** *************** and ********** *********** ** do.

*** ***** ***** ***** a ****** ******* ***** simple *** ***** ***** and **** ***:

IPVM Image

*** ******* ** ********* rather ********** ******* ** pixels **** *** ***** to *** ****. ******* video ** **** ** of ****** **** ********* small ***** ** *** overall ***** / *****. If ****** ****** ****** by ****** ** * level, *** ****** ******** motion ********.

*** ***** ***** ***** how *** ***** '***' a *** ****** *** correctly ********* ******:

** ********, *** ***** below ***** *** ****** a ******* ******* ** does *** '****' ******* the ******** ****** *** a *** ** * shadow:

Filters / ******* *** ***

** ******* *** ***** minimizing *** *********** *** cost ** ********** *********, cameras ***** * ****** of ******* ** ******* to **** ********* **** false ******, **** **:

  • ****** ** ******
  • ******** ** ********
  • **** ** ********
  • ******** ******** *******

Amount ** ***** ******

****** ** ******, ********* simply ****** ***********, ** the ****** ****** **** differ **** ******** ****** in ***** ** ** considered "*******", ********* ** measuring *****/******** ***********. **** is ******* **, *** different ****, *** ********** of ****** ***** ******.

IPVM Image

Duration ** ********

******** *** ******** ** movement ******* *** ******* to ********* ****** ** pixels **** **** ****** momentarily, ***** ****** ** digital ***** ** ********* illuminated ** **. **** is ********* ****** ******* in *******.

IPVM Image

Size ** ********

*** **** ** ******** refers ** *** ****** of ****** **** **** change ****** *** ** triggered, ********* ******** ** as * *********, * percentage ** *** ****** zone ** **** ******* and * ******** ***** quantity ** ******. **** metric ** *** **** fundamental **** ** ***, with **** ************* ********* no ***** ********.

** **** *****, ******* provide **** * ******* and ******* **** ******* (shown *****) ** ********* both ***** ******* ** well ** ***** ***** changes ***** *** ** caused ** ******* ****** or ****** ******* **/***.

IPVM Image

Movement *******

******** ********, **** ************* have ********** ******* ***** target ******** ***** ** movement, **** ** *** swaying ****** ****** ***** in **************** **************. **** ****** ** intended ** ****** ******* which **** **** *** forth ****** * ******** range, ** ***** ****** on *****, *****, ** other ******* **** ********** motion.

IPVM Image

****** *** ***** ***** to *** ******** ********** to ***** **, ******* of *** ********** (*.*., only **** ****** *****, not *****).

Difference: ******* **** *** *** ****** *********** *** **

***** *** ******** **** that *** ** ******** using ********** ** **** it ***** *** ****** movements, *.*. - ****** and **** *** ******* sizes ** ****** ******* move *** **** **** a *** *******. **** may ****** *** ** right, *.*., * *** system *** **** *** VMD ****** ** * day *** ******* ** of **** *** ******** people ** ********. *** that ***** ***** **** false ****** *** ***.

*** **** *********** ********* of **** '*****' ** 'AI' ******* ** **** those ******* *** ******** effectively ****** *** **** object "** **** * person?", "** **** * car?", "** **** * bicycle?", "** **** * gun?" ***.

Basics ** ** *******

**/'*****' ******* ******* **** advantage ** ******** '********' to ***** **********. ****** put, ***** ******* ** valid ******* *** ******** by ***** **********, ***** decides ***** ******** ********* whether *** ****** ** what ** ** ******* as. *** *******, * person's ******, *****, ********, leg *** *** ******, location ** ********, ***., all *** ** **** as ******** ******* ** determine ******* ** ****** is * **** ******, instead ** ** ****** or *******.

IPVM Image

**** ******** ** ********* automatically, ******* ** ******** defining *** ** ***** aspects ** *******. *** algorithm '******' ** *** own, ******** ** ****** ********.

AI ****** ******** *********

** ******** ** ****** increased ********, ** **** allows ******* ** ****** more ******** ****** ***** than ****** *** ** other *****-***** *********. *** example, ******* ** ****** classifying *** ******* ***** as ********, *** ** is ***** ****** ** classify **** ** ******, with ****** ********** ** cars, ****, *****, ***.

IPVM Image

**** ******** ****** ********* allows *** **** ******** detection ***** ** ** used (*.*., ***** ** when * *** ** parked ** *** *** lane) *** *** ** searchable, ******** ********* ** find ******** ******* **** quickly **** ******** ******* numerous ******* '*******' **********.

Beware: **** ** ********* **********

********* ***** **** ******** object ***** **** ****** for ************** ** ***** subjects' ******, ***, ******** style, ***. *******, ** our *******, **** *** best ********** ********* ***** incorrectly ******** **** *********** information, **** *** ********** as *****, ******** ********** as ******, ***.

IPVM Image

Deep ******** ** *** ******* ** *******

****: *** ****** ************* is **** **** ********/** cameras ******** ** ***** after ************. **** ** possible ** **** *****, such ** ********'* ****-******** H5A *******, ***** ******* to ***** *** ***** they *** ****** **. However, **** ******* *** a ***-******* ***** **** does *** ****** ***** analysis **** **** ***** on *** *****.

Upgrading ********

** ***** ** ******* the **** ******** *****, a ******** ****** ** typically ********. ** ** is ******** **** ** one's ***** ****** ** making ******** **** * firmware ******* ***** ******* performance.

*******, *********** *********** ** what *** ** **** with ******** / ******** are ******* ** ******** constraints ** *** *******.

Hardware *********** ** *******

*** ******* ********** ** doing ** ****** ******* has **** *** **** of *** ******** ** run ** ****** *** camera. **** **** ** AI ******* **** ************ been **** *********. ******* of ****, ******* **** VMD *******, ******* *** deficiencies *** ********* *** tradeoff ** **** ****** cost *** *** ******.

*******, ******** ****** **** begun ********** *** *********** increasing *************, ******* ** a **** ** ***-**** models ******** "**", **** varying ******* (*** ********* ********* ******** ****).

********* **** ******* ****** (********),********* ** *****, ****** *********, *******, and ****** **** ******** many ******** ** *** past *** ***** **** support **** ******** ** chips ****** *******.

Outlook ***** ******* *******

****** ** ********* ******** capabilities, ** ****** ** see *** **** ***** cameras ** ********* ** 2020 *** **** *** next *** *****.

***** **** ******* ***** perform ****** ** * 'VMD" *****, **** ***** hardware, ** ****** *********** increases ** ***********. ** more ******* **** **** smart / **** ******** performance, **** **** ************ become *** **** ******* to ******** ** *********, H.264, *.***, ***** ******, etc.

*** ***** *** ******** cameras *** **** ***** likely **** *** *****. By *** ***-*****, ** would ****** ****** ******** people *** ******* ********* to ****** * ********* (i.e., ***** ****** ****** this) *** **** ******* elements **** ****** ***********, vehicle **************, *** ******** classification ***** **** *** longer ** ****** ********** at **** ********.

Comments (4)

*********** *******. * **** not *** **** ******** to **** **** ********* beyond ***. * ** recall ****** ** "*****" an ******** ****** * few ***** ***. **** deep ******** ** * camera ******* ***** ********?

**** ******** **** *** "require" ***** (****) ******** other **** ** ** engineering ***** ***** ******** can ******* ********. ***********, Avigilon's "***** ** *******" "allows" *** ***** ********. Play **** ****** ***** and *****, "****** ****", "person *****", "******* ****", "vehicle *****" ** * classified ******.

*********** #* **** * lot ** **** * was ***** ** *** first. **'* **** ***** noting **** ****************-*****, *** ** ***** several ******* ******, ** I ****** *********, ** be ***** *******. ** areas ***** **** ***** take * **** **** time, **** ** *** traffic ****** *****, *** teach ** ******* ******* is **** ** ***** training.

**'* **** ***** ******** out **** **** ** Avigilon's ****-******** ** *********** what ** ********** ** the *****. **** ***'* have ******** ****** *********** settings **** **** **, where *** **** ** measure ****** ** *** camera's *** ** ********* distance *** ****** *** where *** ******* ** in *** *****. *** self-learning ** ******** ** figure **** *** *************.

**'* ****** ********* ********* to **** ***** *** of *****'* *****!!! ***!

Read this IPVM report for free.

This article is part of IPVM's 6,817 reports, 914 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
Loading Related Reports