Zensors ********
******* ** ****, ******* was ********** * ******** project ** **-************* ****************** ****. ******* ******* ** employees ** ********** *** San *********, ********* ******* development ******, *** * 20 ****** *********** **** in ***** *** ******* labeling. ******** ** ** Assistant ********* ** *****-******** Interaction ** ******** ****** University, ********* ***** ****** Interfaces *****, ***** **** earned * ******* ****** in *****-******** *********** ** Carnegie ******, ** **** as ********** ******* *********** and ** ** ******** at ********.
******* ******* $*.* ******* in *******. **** *** not ******** *********, *** they *** ******* *************, *** *** * partnership **** ***, *** 2 ****** *********** ****, ******* ** ***** city ********** ***********.
***** ********* **** ******* Into *******
******* ** ******** ***** AI-based ***** ********* **** uses ******-********* ****** ******** that *** ********* ******* to ****** ****** *** vehicles, *** ***** **** 500 ****** ** ******* detection *** *********.
******* **** **** ***** their ****** ** *** customer's ******** ******* ** generate ************ ****** ***** on ****-***** ***** (*.*. real-time **** ********, ******* tracking, **** *********). ****, they ***** **** *** developing ****** ******** ** analytics, ***** ** ****** needs ****** ********* (*.*. Smart **** *******, ************** Terminals).
**** *-****** ********* ***** shows ******* ******-******** *** queue ********** ** ****:
One ***** *** ******
******* **** ******** ****** are ******* *** ********* per ******. **** ** atypical **** **** ***** analytics, **** **-***** ******, which *** ******* ** public ** ****** ******* sets ** ****** ** detect *** ******** ******* (for **** ******** *******, read ******** ******** ******** *** Video ************). ******* ****** **** contributes ** ****** **** are **-**% **** ******** and ******** ******** **** poor ********, ***** ****, and ****** *********. **** noted ***** ** * baseline "********" ****** ******* model *** ***** ******** per ****** ** *** a "**********", *** ******* it **** *** ******* as **** ********* ** training *** ****** ****** network.
******* **** ******** *** training *** ******* ***** publicly ********* ***** *******, customer ****** ***** *** images ****** **** ******* installs ** ***** ******** sites.
****** ********* ** ****** Questions
******* ****** * *** dashboard *** ***** *******, searching *** ****** ************. Their ****** ** ****** on ***, *** ***** it *** ** ********* on-premise, ******* **** **** have **** ******** ******.
******* **** ***** ********* is ******** ** ***** high *****, **** ** digest ****** ** ***********, by ******** *** ***** analytic ****** ** ****. To ****** *** ******, a **** **** * question (*.*. "*** **** cars *** ** ****?", "how **** ****** *** here?"), *** *** ********* specific ***** ** *** video ** ******:
**** ** ******* ** functionality ******* *******'* ******* ******** ********** (IPVM ****). *** ******** *** be ******** **** **** Zensors ***** "********* *****" Reports, ***** ******* ********** summaries ** *** ****** in ******* ******* *******:
** **** *********** ** Unusual ********
******* **** **** ***** not ** ******* **** recognition ****** ** ****** classifications, *** ******* *** abuse ********. **** **** said ***** ********* *** not ******* ** ******* anomaly ********* (*.*. ******* behavior, ******* ** * library) ** *******, *** instead *** ********** ****** training ** ******** ******* behaviors.
Targeting ***** ******, *********, ***** **********
******* **** **** *** targeting ***** **** ********, transportation **** (*.*. ********, train *********), *** ***** facilities **** ***** ******* of ****** *** ******** (e.g. **** ******** *******, urban ******* *******). * differentiator ****** ****** ** the ******* ** ******* vehicle ******** ********, ***** they **** ****** **** to ********** ****** ********, and ******** *** ***** of ********. **** **** they **** ********* **** their ********* *** ***** parking ************, *** ****** and ******* ********.
******* ****** ** ******* city **** ******* * IP ****** ****** **** an ********** ******** *** connection, ********* **** ** city *******, ***** ***** $1,500 - $*,***. **** said **** *** ***** by * ***** ******** in **********, **** ***-***-***** components.
Per ****** *** ***** *******
******* **** **** ******* pricing *** ******** ******** models (*.*. ****** *** vehicle ********) ** $** per ****** *** *****. Subscriptions *** *** *****, so * ****** ****** counting ****** *** ******** would ** $** *** month. ******* **** *** volume, ********** ********-***** ****** cost $** *** ***** per ****** *** *****. They **** **** ***** are ******* ***** *********, which ****** ** *** amount ** ********** ********, based ** ***** ******** and ******** ***** **********.
3rd ***** ****** *******, ********* ***** *******
******* **** **** ******* 3rd ***** ******* ***** multiple ********* (*****, ****, FTP ********), *** ********** to *******. ******** *** many ***** *********, ******* said **** ** *** require **** ***, *** noted *** ********** (*.*. people ***** ********), * frame ***** ** ******* is ******. ******* ******** and ******** ***** ********* require ****** ***** *****.
** ******* ******* ** Zensors *******, **** ******* an **-******* ******* **** 6 ****** ** ****** contracts.
Direct ***** *********, **** ** *** ****
******* ***** ****** ** end ***** *** ***** they *** ******** ** build ** ********** *******. They **** **** ************ an *** ***** *** integrators ** ***** ******* sales ****, *** **** are ********* ****** * sales ***********/******** *******,** ******** ** **** development ********* *** ***********.
Only *** *********** - **********
******* ***** ***** **** VMS *********** ** ************** ************ **** **** ***** be ********** **** ************ as **** ** ***** development *******. ************, **** said ****** ************ **** being ********** ** ******** connect *** **** ********* direct **** *** ****** to ****** *******.
Potential **********, ** ** ****** ***** ****
***** **** ******** ****** is * ****** ** AI ********, ** ******* that *** ********** ** leading ****. *** ********* we *** ** **** it ** *** ***** what ******** ****** **** are ** (** **** a ****** ********? ***********? transportation?). **** ******** ***** may **** ***** ** a **** **** **** who **** ** ****** work *** **** (******* example****** ***** **** ****** Analytics ****). *******, *********** ********, they *** ******* **** a **** ****-*** *********** specific ******** **** ** easier ** ********** *** to ****.
Comments (1)
John Honovich
Update: Pittsburgh International Airport Partners with Artificial Intelligence Startup Zensors to Provide Live Accurate Wait Times for TSA Lines
From their press release, an image demonstrating it in action:
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