Vintra "AI-Powered" Video Analytics Startup Profile

By Sean Patton, Published on Nov 27, 2018

Vintra is a Silicon Valley startup focused on AI-based video analytics. They had booths at IACP and ISC West demonstrating their hosted or on-premise solutions.

We spoke with Vintra, to better understand their approach, and how they position their analytics to differentiate themselves in an ever-crowded market.

In this note we look at:

  • Who is Vintra
  • What Customers is Vintra Targeting
  • How Much Does It Cost
  • What is Vintra's Go-To-Market
  • What Type of Video Analytics
  • What VMS Integrations Does Vintra Support
  • Developing Image Datasets
  • Compared to Avigilon
  • Challenges to Growth

Vintra ********

******* ** ****, *** US-based **-***** ***** ********* company ******* ** *********, 12 ** **** **** computer ******/******* ******** ***********. Vintra's ******** *********** ** lead ****-******* *** *** ***** Amato*** ***** ~** ***** of **** ** ******** vision ******** *** ***********.**-******* *** *** ***** Boekestein, *** * ******* capital *** ***** **********, including ** ********-**-****** ****** and *********** ******** ********** system ************ (******* *******,***** *** ******** ** CommScope ** ****).

***** ******* ******* ** currently *********** *** **** be ********* ** ***** 2019.

Security / ****** ****** *****

****** **** **** *** targeting ********** ******** *** public ****** ************* ** 200+ *******, ********* **************, universities, *** **************.

**** **** **** *** not ******** ** ******, SMB, *** *********** *******. This ** ******** *** many ****** ** ***** analytics ********, ***** ***** on ****** *** ******** process *********, ********* ** increased *** *** **** information.

**** *-****** ********* ***** pitches *** ********:

Mobile ***** ************

* ******* ********* ************** Vintra ***** ** ********* video **** ****** *******: drones, **** *********, ***********, vehicle-mounted *******, ***. **** expect ****** *** ***** analytics *** ****** ******* to ******* ****** **** the **** * *****.

****** **** ***** ********** does *** **** ** background *********** *** ****** their ****** *** ****** any **** ** ********* video (********* ***** **** video).

*******

****** ****** * ******* models *** ***** ******:

  • * ********-**** **** ******** for $** *** ****** per ***** (*** ****** minimum) - ****** ******** supplied ** *** ********.
  • ***-****** ***** ******** ******** at ~$*,*** *** ***** for *** ***** ** video ******** (~**,*** *** year *** *,*** ***** of *****).

****** **** *** ****** solution ***** **** *** law *********** ************* ********** hours ** ***** **** multiple ******* (****** *******, private *******, ********** *****, etc). **** ***** **** many ** ***** ******* customers *** ********** ****** of *** ****** ***** the ****** ******** ****** making * ****** ********** in ******** *** *********.

Real-Time *********

****** ******** ****** *** CUDA ***** *** **** they *** ******* **-*** cameras ** *-** *** real-time ** * *********** * ******** ****(**** ***** $*,***).

***** ********* **** ******** objects **** * **********: 4-wheel ********, *-***** ********, people, *****, *** ****.

**** ** ****** ** categorized, **** ******** *************** of *** ****** (******** color, ******* ****/*****, ****** identification, ***)

***** ****** *********** ******** 24 ****** ***** ******* the **** *** ~ 40-degree ******* ***** ** incidence.

Custom ****** ********

****** **** **** ****** built ***** ********* *** classification ****** ******* (******-***), because ****, ***, *** SSD-based ****** ******** *** not ********* ****** *** real-time ***** ********** ** affordable ********.

****** ****** ~** ****** recognition **** **** ****** neural ********, ****** * unique ******** ** ********* and ****** ** **% higher ******** ** ******** available ***** *********.

16-bit ** **-*** **********

****** ****** **-*** **** learning ****** ********. *******-*********, 16-bit ********** ** **** desirable **** **-***, ** long ** ******** ******* unchanged. **-*** ******** ******* 50% **** *** ** process *** **** ****** of *****, ****** ***** on ******** ***/** ********** more *******.

****** **** ***** ******* has ***** ****** * **** **** supports **-*** ****** ********, *** ******* **** 600fps. **** **** ***** no ******** ********** **** running ***** ********* ** a **-*** ** **-*** environment, *** ***** ******** goal ** ** ******** for ** *-*** ***********.

Web ****** / *** ************ *******

****** ** ********* **** with * *** *********** for ******* **** ***** with ******** *** ******** plus ********* ******* ******** video.

****** **** ***** ***** true *** *********** **** be *** *******, ******** object ****** *** ***** overlays ** ******** ****. They **** ***** ***** they *** ********* ********* integration, ** ** *** available *** *** **** only ** *** **** into ****** ********.

Developing ****** ***** ********

** ******** ** ******** their ********* **** ****** datasets, ****** **** *** created ***** *** ** working ******* **** ************** to *** ****** ** large **** ** *****. Vintra **** ******* *******, range ** ******** *** data ******** ** ** issue **** ******** ********* datasets. **** ** * typical ***** ******** ** AI-based ***** ******** ********** IPVM *** ***********.

Channel *********

****** ** ********* ******** on ****** ******* *****, but **** ***** **** are ******* ** ********* integrator ********.

Compared ** ********

****** ** ********** ****-**** video *********, ******* ** generating **** ****** *** alarms, ***** ********'* ********** Search ** *** ********* recorded ***** *** ******, vehicles, ** *******.

******** ****** ******* ****** Detection ** * ****-**** analytic *** ** **** capable ** ******** *** odd ****** ******** ** a ******, *** ******** people, ****** ********* ** people ********.

****** ****** * *****-****** system ***** ***** *********** scale ****** **** ********, however, ******** *** ** recurring **** *** ***** software, ******* **** ***********, and ********* ************.

Challenges ** ******

******'* ********** *** ******* of **** **-***** ***** analytics ********, ******** ** developing "*******" *********, ******* investment ********, ********** *********, and ******** * ***** channel.

Comments (5)

******* *** **** ***** "Challenges":

**** *** ** ***-**, but *** ****** **** sounds **** ****** *** gives ** * **** against ****. ****** ******* India ** ******** ********** with ***-**** ** ******* and ******** *** ******** code **** *** *********** houses, *** *** **** of ********** * ***** expect ** ******* ******** analytics.

...*** ****** **** ****** very ****** *** ***** me * **** ******* them.

** *** **** *** bias ****************?

**** ***** **** * somewhat ****** ***** ** say ***** * *******. It **** ***** ****** ignorant *********** *** *** name ****** ** ***** and "******" ***'* ** actual ****. 

 

**** ***. 

** **** ***** ****** ignorant *********** *** *** name ****** ** ***** and "******" ***'* ** actual ****.

******.

****, * ***’* **** much ********** **** **** support ** *****, *** I **** ***** ** least * ***** ****** programmers **** ***** ** the *.*. ** **** visas, **** **** *** as ***** ** **** come.

******* *****, *** **** is *** * *****. The ***** * **.

****, **** *** ******* around * ******* ******* a *****. 

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