Nuisance Analytic Alarms Causes Veteran Security Professional To Ignore Theft Alert

This is an interesting example from 'the Security Guy' Chuck Harold:

He blames himself for missing the alarm, thinking it was an animal:

This really underscores the importance of minimizing false alarms. Even a veteran like him, after a while, reasonably ignores analytic alerts because of poor accuracy. If his system did not bother him with animals regularly, he would have taken it more seriously.

The image quality of the suspect is not bad though there's clearly some blurring that undermines getting more details:

Thoughts?

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

******** ********* ******.... ****, there *** * **** when *** ********* *** to ***** **** ****** camera ****** ** ****** without ****** *** **** from ****, ******* **** only **** **** ******* or **** ** ******* by....

****, ** **** ***** the *** ***** ********* of *******? *** **** of **** *** ******* and ***** ******** **** night? **? ***?...

** ****** “*** * have ******** *******”: **** it **** **** ** got * ************, *** an ******** ******* *** not **** *** **** to ****** ** ****** what *** **** ***? In **** **** ** course ** *** **** unlucky.. ((

*** ***** ******* ****, anyway * ***** ** curious ** **** ***** “analytics” *** **** *****; not **** ** ****** targets **** **** **** size *** ******** ** visible ******** ** *** image?...

*******, ***** * ******* stolen ****** ** **** the ******* ***** - why *** ** *** a ******-******-********* ******** ******* of **** ** *********-********* one? ** ***-***** ** intrusion (*** ******* **** turning ** * ******** light ** *** ***** as **********) *** ********** alarm ************ ** **** of ****** ******?..

****, ***** *** * time **** *** ********* had ** ***** **** single ****** ****** ** second ******* ****** *** eyes **** ****, ******* that **** **** **** coyotes ** **** ** passing **....

*****'* * **** **** people *** ** ***** their *** ***** **** time **** ****** ****. So ** **** **** breaks ***** ***** ***, just **** **** ** mind. ** *** ****. [sarcasm]

******, ** * ***** analytics ********, **** ******** puzzles **.

*** **** ** * good ******* ** *** high-quality, ******** ********* *** important, **?

****, ** **** ***** the *** ***** ********* of *******? *** **** of **** *** ******* and ***** ******** **** night? **? ***?...

*** **** ***** ********* reliably *********** ******* ******* and ******? ***'* *** think **** ** ****, you ****** *** *** being **** ** ** that?

*** ** ****** ** all ***** *** **** to **** ****** *** better “*****”; *** **** break ******* ** **** door **** ** ***** that....)) **** ***** ******** was **** * ******** warm ******** ***** *** fact **** ****** *** level ** ********* ******** to ** ******** ** much ***** **** ******, even **** *** ***** oven; *** ** *******’* anyway ** **** **** lower ** **** ***** a *****..

** **** ****** **** in **** *** ***** next ****:

*** **** ***** ********* reliably *********** ******* ******* and ******? ***'* *** think **** ** ****, you ****** *** *** being **** ** ** that?

****’* ******* **** * meant **** * ***** *** ***** ******* ****, anyway * ***** ** curious ** **** ***** “analytics” *** **** *****; not **** ** ****** targets **** **** **** size *** ******** ** visible ******** ** *** image?...”. **** ***** **** of ****** ** *******’* definitely ** ** ***** to ********** ****’* ****** and ****’* ****, **** without ********* *** “*** fashion *****” ** **** learning & *******... **** they *** ** ** to ******** ******* *** persons ********, *** **** targets ** *** **** and **** ** **-** pixels, ****..... *** *** imagine ** ******.... *** in **** ****... * would ** ********** ******* to ******* **** ******* from *****...

*** * ***** **-******* that * ******** ****** object ********* ***** ******** help ** **** *****.