******* *********, ********** ******** ***** ** effectively **** ******** ** ****, **** just * ****** ******** ** *** overall ****** *** ******:

#1 - **** *******
** ****, ***** *** * *** number ***, ***** *** *** * material ****** ** **** ********** *******. The **** ****** ********* *** **** costs *** ***** *********, ** **** sampling ** ******** ********** ********* *********:
- "*** ******** ** ****** * ***** customer."
- "*** ******* *** ** *** ****."
- "****** *****'* *** *** ** *** they ******* ***'* **** ** *** the ****** ***** *** **. **** have *** ******* **** ** ********* happen **** **** ** **** *** just **** ** **********."
- "*****. **** *********** *** ********** ** lowest ***** ******* */* **** *** only ******* ** *****."
- "**** ***** ************* ****"
- "********* ** ****** ********* ** **** secure ********. *** ***** ******** **** us ******* ******."
- "****** *********** *** ****"
- "** ***** ** ****** ******* ** the ********* ****** ** ******* *** having ** *** *** ****."
- "*** **** ** ********* *** ******* requires ** **** ***** **** ******** recording."
- "**** **. ******** *********** ** ****."
- "**'* ***** ********* *** **** *** get"
- "**** ********* ** *** *** *** software ***** ***** *** *****"
- "** **** ******* ********* *** ********* have *** ******** *** ***** *****"
- "* **** **** **** **** **** to **** *** ********* *** **** from *** ********* **** ** **** really **** **** ** ***** ** helpful ** ***** ***** **********."
- "*** ***** ****** ********, ** ********* do *** **** **** ********* ** keep *** **** ****."
- "** *** **** **’** ***** ** too ****** ** *** ********* ******* and *** ****** **** ** **** to ** ********* ***. ******** **** more ********* (*****, ***********/****, *******) ***** edge *****, *** ****** **** **** back **."
Race ** *** ****** ****** ** ***** *********
**** ** *********** ***** **** ** that ******* ***** ******** ******* *** at ***** **** ****, ** *** somewhat ********* **** *** **** *** years. *** ************** ** **** ** that ** ** ** ******** ****** of *** **** ** *** ******. With ****** ****** ********* ** *******, it *** ************* **** ***** ********* look **** **** *********. ** *** integrator ********, "**** *** ***** ***** rather **** **** ****** ******** **** spend ******* ** *********." ** *** are ******* $*** *******, ****** ** ~$500 ***** ********* *** ******* **** more ********* *** *********** * ***** investment **** **** ****** **** ******* (at ***** *** ***** **** ******* camera ****** *** **** ******** *****).
Unrealistic ********** ********
*** ***** *********** ********* *** ***** customer *********** ************, ********* *********:
- "******** ************; **** **** *** ******* for ******* ******."
- "******** ************ *** *** *********** ** analytics ***** *** ******* *** ********* performance ** **** *********. ** ** can ******** ********* *** ********'* ************ for ***** ****** *** ******* ***********, then ** *** **** ******* ** deploy ******** ********* *** **** ********."
- "*********** ********** ** *** ****** **** is * *********."
- "** *** ******* ** *** ********'* expectations *** *****."
- "**** ****** ********* *** ****** *** than **** **** ****, * ***** don't **** ** **** ****** * customer *** ** ** ** *** performing *** **** ******** ** **** probably ***** **** **** *** *** analytic ******."
- "********* *********** *********** ********** ** *** you **** **."
- "******* ********* ** * ******** **** expects *** **** **** ** *** get *** **** * ******** *********. Even ******* **** **** *** ************ ahead ** **** *** ***** **** disappointed."
- "* ********* *** *** ******* *** to **** *** ********'* *********** ***** may ******* ***** ** *** *******."
- "***** *** "*** ******" ** **** had **** ********* **** ** ** with ***** ** ***** **** ***** the ****** *** ******** ********* **** can ** ********** ******** **** ***% accuracy *** ** ****** * **** deal ** ********* ** ********* *** customers ***** *** *******"
**** ** *********** ***** **** ** customers **** **** *** *** ****** when ** ***** ** ******* *** resolution *** **** ** ****** ** objection ** ******* ** ******* ******* as ***** ****** **** ** ***** integrators ********* ** *** **** ***** analytics, *** ** **** **** ********* cameras.
*** ************** ** ****, ****** ** cameras, ***** ********* *** **** **** some ******* ***********, *** ******* *********** of ***** ********* (*.*., ***** ********* and ****** ******) *** ***** *** high ** ******* ****** *** ***** for **** ** **** ************.
***** ****** / ******** ******** *******
** *** ****, ***** ****** *** accuracy ******** **** ********* *** **** commonly ***** **********. ** ****, **** declined, ****** ***** ***** ** ******** integrators. How **** ** **** ** *** to *********** ****** ********* *** ******* better ** *********** ********* **** ** pricing ** *** ***** *** ** is, ** *****, ******** ** * positive ****.
Demand ** *****, ****** ** ***
*** ******** **** *** ***** ********* is **** *** ****** ** *****. Integrators **** ** *** ***** *********. *******, the ******, ******* *** ****** ** offerings *********, ***** ******* *** ********** are ***** *** *** ******* *** levels **** *********** ****.
*** *** ******** **** ******* ******* and **** *** ***** ********** ** deep ******** ********* ****** ****** ****** (readily *********, ********** ******, **** ****** quality) ** ***** **** ******** ** video *********.
Vote / ****

Comments (14)
Undisclosed Integrator #1
You mean I can’t hit the “CSI video enhance” button to get the LPR software working correctly to get that car 200ft away travelling 50 miles an hour from the reflection of this tea spoon? Geez we can put a man on the moon...
Create New Topic
Undisclosed Manufacturer #2
Very difficult to answer that question because "video analytics" means many different things to many different people.
I ask the question all the time to integrators and end users both, "what is your understanding of "video analytics?" The answers are wide and varied;
"that's bag left behind, right?"
"analytics are used to report license plates to law enforcement"
"it's just a virtual trip line"
"glorified motion detection"
"it can tell you age and gender and count people"
etc
A camera is a verification device (live or after-the-fact when recorded). Video analytics is fundamentally using software/hardware to allow a camera to act as a detection device. What you're "detecting" can be wide varied as noted above.
In order for "video analytics" to achieve mass adoption there must be specific use cases that solve a real world problems and provide real world, verifiable benefits. Analytics must have a very high probability of detection/accuracy and a very low nuisance/inaccuracy rate for the given use case or it will fail (as demonstrated in the past).
All the talk about deep learning, machine vision, artificial intelligence, etc is gibberish to the masses when it comes to real world business cases and justifications for investing in it.
The world first needs to understand where a given analytic engine can be used to either detect events to prevent crime, provide intelligence to improve operations/efficiency/sales or significantly reduce investigation time, et al.
When those business/use cases can be clearly defined and substantiated, there will be wide adoption for a given analytic function. Until then, not so much. Get the right information to the right people at the right time to succeed.
Create New Topic
Rafael Oneda
I'm not a enthusiastic of IVA... actually I think that it is a great way to do a frustrated end user!
The most embarrassing situation is when a concurrent integrator or manufacturer makes the customer's expectations high, claiming that they can get a high accurancy in any conditions, using a low-price camera, etc... I need to disagree with this and frustrate the customer, so, some customers think about me: "your solutions are bad, becouse cant do the amazing things showed to me by other company and, besides that, is more expensive... get out of here!!"
Sure, after deployment, he probably will be frustrated, but, I've already lost the deal.
Is almost a ethical issue.
Create New Topic
Undisclosed Manufacturer #4
They all seem to work great in sample videos and PowerPoint. In the field, not so much.
Create New Topic