Nvidia For Video Surveillance Examined

By: Brian Karas, Published on Aug 23, 2017

Nvidia is making a big push into the security market, claiming more than 50 partners, investing heavily in industry events, positioning their GPUs as the workhorses of deep learning applications.

However, Nvidia offers multiple product platforms, including Tesla, Jetson, etc., based on different GPU architectures such as Pascal or Maxwell. It can be difficult to understand how these components are used in video surveillance systems (e.g., what to use in a camera vs server vs the cloud, etc.).

In this report, IPVM reviews Nvidia's products related to surveillance, including where the various Nvidia product lines are most applicable, how they compare to alternative products, and their limitations.

****** ** ****** * big **** **** *** security ******, ******** **** than ** ********, ********* heavily ** ******** ******, positioning ***** **** ** the ********** ** **** learning ************.

*******, ****** ****** ******** product *********, ********* *****, Jetson, ***., ***** ** different *** ************* **** as ****** ** *******. It *** ** ********* to ********** *** ***** components *** **** ** video ************ ******* (*.*., what ** *** ** a ****** ** ****** vs *** *****, ***.).

** **** ******, **** reviews ******'* ******** ******* to ************, ********* ***** the ******* ****** ******* lines *** **** **********, how **** ******* ** alternative ********, *** ***** limitations.

[***************]

Training **. *********

*** ******* ******** ******* on ***** ** *** primary ***** *** *** is ***** **** ***:

  1. ******** - ********* * set ** ****** ** learn ************* ** *********** among ****
  2. ********* - ********* * given ***** (** ******* of ** *****) ** learned **** ** ******** an ******

******** ** **** ********* and ****-********* **** ********* in *** ******* ******** application, *** **** **** to *** *** **** processing *****. ** ******, any ***** *** *** be **** *** ****** function, ****** ******** ** more *************** ********* *** a *** ********* *** training ************ ***** ****** be ******** *** *********.

Product ******

*** ********* ***** **** Nvidia ***** *** **** are *********** ***** ******** for ************ ************:

**** **** ** *****, the ***** ***** ******** of ********** ******* *****, which **** ***** ** correlate ** ****** ****, higher ***** *****, *** larger *********.

GPU *************

******* ** *** ***** categorizes ********** ** ***** names/families (*.*.: *******, ****, Xeon), ****** *** ***** a ******* ********. ****** has ***** *** ************* commonly **** (****** **** latest/most ******** ** ******/***** powerful):

***** ******* ********* ***** come ** ******** **** use ********* *** *************. And ***** **** *** generally *** **** ** discreet **********, *** *** Intel ***** ****, *** instead **** ** **** as **** ** * larger ******* ******** ** final *******, ********* ** the ******** *** ****.

Product ********* - **** ******** **** ***** **********

*** ***-***** ******** **** applicable ** ***** ************ are:

  • *****- *** **** *** servers
  • ******- ****-***** *** *** cameras
  • ******* ***- ***-******* ******** *****
  • ******- ****** *********** *** graphics *****
  • ***- **** ***** ******** platform *** ********* **********

**** ****** ** **** of ***** ** ********* below.

Tesla - *******/****

*************** ** ********* *** most ****** ****** *** surveillance *****. ** ** generally **** ** * PCIe **** ** ** installed ** * ******, or ** **** ******** to *********** * *** card, ****** * **** factor **** ********** ********'* ****** ***, ***** ****** ****** interconnect ********* ** **** available *** *********** ************.

****** *** ** **** for **** ********* *** training, ********* ** *** model. *** **** ****** models ********* ******** ** surveillance ************ *** (****** indicates *** ********, *=*****, P=Pascal):

  • ****- ******* **********, ******* power, ******** ** ******** R&D ************ ********* *******-********* training. ~$**,***+
  • ****- ******** *** ******** use, ~$*,***-$*,***, ********* ** model/interface
  • ***- **** ******* ********/*********. Used ** **** ***** servers, ******* **** ***** do ******* ******** ** well ** *********. ~$*,***
  • **- ********* ************, **** common ** *** ******* or ********** ******** ****-******** applications (*.*.: *********** ******, advanced *********). ~$*,***

***** *** ********* *************** ***************, ****** ***** *** less ******** **** ** video ************, ************ *** Kepler ****, ***** **** positioned **** ** ******* compute ************ **** ******* learning/deep ********.

*******, ***** ***** ** the **** ****** ****** now, ****** ** *********** the ************* ** **** learning ** ** *******.

Jetson - *********** *******

******** ******'* ****-************ ****, designed *** ******* ******* on-board ****-******** *********. ***** come ** *** ******, the *** (******* ************) and *** *** (****** architecture).

***** *** ****** ****** is ****** ********, ** is ****** ($*** - $500 ***** ********* ** volume), *** ****** ***** (50 ** * ** mm / ~*" * 3.5") ******** ** *** electronics ********* ***** ****** modern ************ *******. ******** seen ** ******'* ***** show ***** ***** *** Jetson ******* **** ********** larger **** ******* *******. The **** **** ******* the ****** *** *** even **** **** ******** cameras, ****** ** * very ****** ********* ** include ** * *****-****** market.

GTX - ******** *****

*** ******** *********** **** into ******** *****, *** are *** ******** *** deep-learning *** ********, ** Nvidia **** *** **** these *** *** **** performance *** ************* ***** as *** ***** *****. However, ***** ***** ***-**** (generally ***** $***), *** the **** **** *** the **** **** ** some ** *** ***** cards, **** ************* *** using *** ***** ** servers.

Quadro - ******** ******** *****

****** ***** *** * step ** **** *** cards. **** *** *********** intended *** ******* *********** applications, **** *** ******* market ***** *** ***** like *** ********* ** 3D ********. *******, **** are *** ******** *** more ********* *****, *** have * ****** ******** than *** *** *****, making **** **** ******** for ******* **** *********** closer ** * ***** is ********, *** ***** cost ** ***. ****** cards ********* ***** **** $500-$1,000, *** *** ** higher *** ******** ******.

******** ********** ****** ***** for *************** ****************.

DGX - **** ****** / ******** *&*

******-****** ** **** *** training **** ******* ******* of ******* **** **** to ** ********. ****** range **** ~$***,***-$***,***, ****** it **** ********** ** organizations ******* ******* ** deep-learning, *** ********** ******** models *** **** ******** than **** ** ********* seen ** *** ******** industry. ** ** *********** an ***** ****-***** ****** with ** ** * Tesla **** *******.

GPU ***** - ***** *********

****** ** **** ********* a *** *****, ***** ********* ******** of ** ****** *** product (***** **** *** Jetson *******) ** * server, ***** ********** *** run ************ **** ******* from *** ************. **** Amazon's *** *****, ** shared ****** ******* ********, users *** ******** ****** GPU ********* *** *****-**** or ****-**** *****. *** example, * ********* ******** an *********** ******** ** run ** * ****** module ***** *** *** Cloud *** *** ********* training *******, *** **** take *** ****** ** the ******** **** ** the ***** ** *** on *** ****** ****** for *********. ********** ***** also ***** ***** ********* platforms **** ******* ***** clips **** ******* *** object ********* ** ***** purposes, ********** *** **** for ********* **** ** the ******, **** ** the ******** **************.

Rival *** *******

***, ******** ********** ** both ****** *** ***** also *** ********* * line ** ***'*, ****** their ******** ** **** more ******* **** ******'*. AMD ********* ****** * versions ** ********* ********** **** ** * PCIe **** ******, ****** it ********* ****** *** centralized ********** ************ *** roughly ********** ** ****** Tesla *****. *** *** been * ****** ********** to ****** ** *** desktop ****** *** ***-***** video *****, *** ** have *** **** *** tests **** *** *** two ********* ***-******** ***** against **** ***** *** analytics ************.

*****'* *********** ******** *** ****-***** processing ******, ********** ***-***** GPU's *** *** ** smart *******, ******, *** similar *******. *** ******** chips **** ******** ************ for ***** ************, *** contain ***** ************ ***** at ******** *****, ***** the ****** ****** **** Nvidia ** * **** general ******* ******. ***** price *** ***** ******** footprint **** *** ******** chips * ********* ****** competitor ** ******.

Nvidia **********

****** **** *** ************ market ** ** *********** to **** ***** ******** into ********** ******** ********. However, ****** ** **** used ** ***** **** to ******* **** ****** for ***** ********, ***** is ********* ** ** in ********. **** *** price ** * ** card ***** ** ******* equal ** *** **** of *** **** ** the ******** *** *** server ** ** ********* in. *****'* ******* ** the ******** ******** **** relies ** ****-******** ********* finally ****** ******** **** have **** ********* **** over *** *****, ***** the ******* *** ****** direct ******* ****.

Comments (8)

Undisclosed Integrator #1

08/23/17 06:16pm

***** ******* *** **** technical ** ******. * was *** **** ***** of *** ***. ** you **** ***** ** a ****** ** **** learning *** ************ ** is ****** **** ** this *****? *** *** out ** *** ***** it ** ****** ********* truly ****** ** *********?

Avatar

Brian Karas

IPVM | In reply to Undisclosed Integrator #1 | 08/23/17 04:38pm

*****, * ** ***** there *** "***** ******" products ******* *********.********'* ********** ******, **********'* ***,****'* ******** ******, ***. **** ** these **** **** ******* disruptors ** *** ********, but **** *** *** "useful" *** ***** ****** applications.

******, *** **** ************ are ****** ***** ** come, ** *** **** of **** *** ****/**** stream ********, ** ************ that ** **** *** yet ****. **** ******** itself ****** **** ** solve **** ** *** object ************** ******** (******* out *********** ***** ** the ***** **** *** non-interesting). ******* **** ******** is ******* ********** ** so **** ***** ********** and ************ ********/************ ******** are **** ** **** that *********** **** *** benefit **** **, *** it ** ***** ******** of * *******-**** ******.

****** *** ****** ***** are **** ********* ******* on ******* ******** (*.*: this ** * ******* of * ***, **** is * ******* ** a ****** ****, **** is * ******* ** a ******), *** ******* those ******** ** ***** companies *** ********** ************. Couple **** **** *** general "*****'* ***" **** of ************ ** ****, and ** ***** ***** to *** ***'* **** come ***-******* *** ****** surveillance ************. ****** ** possible *** ********* **** very ****** *********-********* *&* people ** **** *** products **** ***** ******** currently ********* *** * fraction ** *** ****. Much **** *** ***** you *** *********** * camera **** * ********** of *******-********* ********** **** will **** **** **** performance *****.

Avatar

Steve Lewis

In reply to Brian Karas | 08/28/17 04:47pm

******** *** **** ********* to *** ******** ** NVIDIA's ***** ****. ** have ***** *** **** few ****** ***** *** heavy ******* ** ********* CPU ***********. *** **** runs ** ****** **.** supporting ***, ***, ***** P100, ****** ****, *** 1050 *** ***** ****** GPUs (*****://*********.******.***/****-****).

Undisclosed Integrator #2

08/23/17 11:20pm

********* ** *** ** mentioning **** ********* *** Nvidia/HikVision ************** ***********, ** HikVision's *** "**** ********" NVRs.

** ********* ******* ******* of ********** ****** ********* at ***** ** ***** be ******* **** ******* for *** ********** **** of *** ******** ********.

---

*****://****.***/*******/*********-******

*****://****.***/*******/***-****

Avatar

Brian Karas

IPVM | In reply to Undisclosed Integrator #2 | 08/24/17 02:04pm

********* ** ***** ********* ***** ** ** their **** ******** ***, according ** ******. ***** the ***** ** **** part, **** **** ****** discounts, *** "** *****" part *** ** ***********, especially **** *** ******** Hikvision *** *** ********* on * ***-**** ********, and *** ***** ** adds * *********** **** to *** ****, ********** speaking.

*** ******/********* *********** ** less *********** *******, *** DGX-1 **** ********* ****** can ** **** ** accelerate ******** *** ***'*, but ********* ***** *** to ** *** **** software ***********, **** ** the ******** ****, ***. Much **** ***** ***** "partnership" *** *** ********** make ***** ******* **** secure, *** ****** *********** does *** ************* **** their ******* *******, **** still **** ** ** the ***** *******.

Undisclosed Integrator #2

In reply to Brian Karas | 08/24/17 02:17pm

* ************* ***** **** you. ********* ***** **** to ** * *** of *** ***** ******* before **** **** **** off *** ******. **** being **** ** **** seem ** *** **** in * **** ***** for *** ******.

Marty Calhoun

IPVMU Certified | 08/24/17 10:12am

***** *** # *

Dennis Ruban

08/29/17 05:18pm

**** ******* **** ** Hikvision **** ******** ******** GPU ** ***? **'** about ** *** ******* agent *********, *** *'* wondering ** * ****** pick *** ******** ******** card ** **** ** embedded ***** ***

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