Scylla AI Video Analytics Company Profile

By: Sean Patton, Published on Aug 29, 2019

Scylla, an AI analytics startup, says they are targeting 1 Billion dollar valuation in 5 years and it "is not rocket science" to detect weapons and threatening behaviors with AI video analytics.

** ***** **** ****** to ****** ********** ***** offerings, **-**-******, *** *** they **** ********* *** trained ***** *********.

** **** **** ** look **:

  • *** ** ******
  • **** **** ** ***** Analytics
  • **** ********* ** ****** Targeting
  • *** **** **** ** Cost
  • **** ** ******'* **-**-******
  • *** *** ***** ********* Trained
  • *** ** **** ******** False *********

Scylla ********

******* ** ****, ****** was **** *** ** an "********** ***",**********, ***** *** ~** employees ******** ** ** platform *********** *** ********. Scylla *** ********** **** both ******* ***** ****** *********, *** ******* *********** software *********** *** ********* startup **********, ** ******** to *** * ***** as * ******* ********* for *** ******** ******** of *******. ****** **** they **** ** *********, in *** **, *******, and *******, ********* ******* on ******* ***********, **** multiple ********* ******* *********** in **** ******* *** machine ********.

****** **** **** **** initially ****** ** *********,****************** ****-***** ********, **** * ~$***,*** investment, *** **** ****** a ****** *********** **** of $* *******. **** said **** **** ****** half ** *** ****** round ** *******. **** are ****** *** * billion-dollar *********, ***** ** $100 ******* ** ******* by ****-** ***** ********* to ** ** ***** for $***,*** ** ******* from **+ ********* ** 2019.

***** *** **** ******* is ********* ** ****** to ** **** ***** $1 *******, ** **** be * *********** ********* to ***** $*** ******* in *** **** * years.

Not ********** - ***** ***** ********

***** ****** ********* ****** "we *** ** ******* active ******** ******", **** said ***** ******* ******* do *** ******* ********* but ***** ** ******** the ***** *** ****** for ***** **********, ***** would **** *****.

**** *-****** **** ******** Scylla's ***** *** ***** real-time ****** *** ******* behavior ********* *******:

****** **** **** *** working **** ****** *** behavior *********** *** ********/******** risk *********** ** ******* a ****** ** "******** the ****** ***-****** ********* and ******* ** ***** alarm". ***** * ****** like **** ***** ** a *********** ************ *** actually ********** ** ****** shooting *****, ****** **** "it ** **** ******" and ******** *********** ********** development *** ********.

Real **** ****** *********, ******* **************, **** ***********

******'* ****** ****** ****-**** preventative ****** ********* (***), ******* ************** *** tracking (***) ********* ********/**** ***********. ****** **** ****** detection ** * *********** of ****** ********* (*.*. knives, ****) *** ******** pattern ********. ****** **** supports ********* ****** *** vehicle ******** ******* ******** cameras, ***** ****** **** does *** ******* ********* a ****. ****** ********.**% ******** **** ******** people *** *************** *******. ** **** few ********* ***** ** offer **** ***** ** cross-camera ******** ******** ** production *** **** *** not ****** ******, ** are ********* ** **** figure.

**** ***** ***** *** Scylla ********* **** *********** scores *** ****** *** violent ********:

****** **** **** ***** vehicle ************** *** **** recognition *** ********* ********* features ** ***** ******, noting **** **** ** not ***** ************* ****** vehicle ************** ** **** recognition *********** **** ***** manufacturers.

**** **** **** ******* were **** ********** ** face *********** *** ******** to ******* ******* ****** the ********, ************ ** close ********* ** ********.

****** **** **** ** not ***** *** *****, images ** ****** ** default, *** **** **** store **** ** ********* by *** ***-****.

"Millions ** ******" *** ********

* ******* *************** ****** noted *** ******** ***** neural ******** ***** ******** of ******, ***** ****, prior ** ***** **** out ** **********. **** said **** ***** ****** image ******** ******** ** public *** ******* ******. These ***** ** ****** are ****** *** ** developers ** ******* ****** image **** *** ****** available, *** ********* *** quality *** ***** ************ training. ****** **** ***** datasets **** **** ******* over **** ***** ** AI *********** ** ********** and ******* ***** ******* to ** *** ** production ******* *** ******** retraining ***** *** ********'* cameras, ****** *** **** recognition.

**** **** **** ***** 2+ ***** ********** *** updating ***** ****** ** decrease *****-******** ***** *** smartphones, ******, ***** *******, etc.

************, **** **** **** trained ***** ****** ***** thermal *** ********* ** black-and-white ******* ***** ** use **** ********* ******* cameras ** ****** ********/******* deployments.

VMS ******* ******* ** *********

****** **** **** **** have**** *** *********** **** Milestone, *** ***** *** supported ** ********** **** streams ****** **** ******* or ***** *****. ********* systems *** **** ****** alerts ****** *** ******** Smart ******, ** *** the ****** *** ****** and ****** ***. ***** with **** ** ***** VMSes *** **** **** to ******* ****** **** the ****** *** *** mobile ***. **** **** they *** ********** **** deep *** ************ ** 2019.

*** ****** ****** *** alert ***** ** ***** of *** *******, **** a ********** *****/******** *****, in ******** ** *** links *** ********** ** Scylla's ********/**** *********** ******.

Using ********** **** ****** ****** ********

****** **** **** *** not ******* ***** *** neural ********, *** ******* use ****-****** ********* (*.*. YOLOv3, ****** *-***). **** said ***** ********* *** able ** ****** * weapon ****** ***** ** being **** ** ******, at ~**'/*** *** ~*****. They ***** ***** ********/******** detection ** ******* *** behavior ******** *** ** not ***** **** *********, claiming **** *** *** resources *** ************* ****** for ****.

******* *** **** ***** analytics, **** ***** **** sufficient ***** ******* *** good ******** *** *** biggest ********** ** *********.

On-Premise ********* ** ******

****** **** **** ********* performing ***** ********* **-*******, with ****** *** ******** to ******* *** *********. They ** *** ********* offer ******** *** ***** that **** *-**** ********* they **** ********* ***** hardware *****.

**** **** **** *** NVIDIA ******** ************ *** dependent ** *** ********* analytics ** ***, *** noted *~$*,*** *** **** ****** ******* ** *******. They **** *** ****** with *********** **** ******* the ***** ******** ***** on ******* ****** ******, automatically ************ ******* ********* weapons *** ******* ********.

**** **** **** ***** a ****** ********, *** primarily **** *** *******, that ***** ******* ********** system ***** **** *** many ******* ** *** a ***** ********.

*******

****** **** *** **-******* systems, ******* ** ***+ camera *******, ** **********, education, ********, ****** *******, the ******* ** ****** based ** *** ********* required *** ****** ** the ********, *** ********* cost $** - $** per ****** *** ****. Under *** ****** ******* would ******* $*** *** camera *** ****. ***** is ** ********* ********* option, *** ****** **** many ********* *** ********* multi-year *********.

****** **** ***** ***** monthly ************ ***** $** per ****** *** ***** and ******** *** * analytics.

Channel *********

******'* **-**-****** ** ********* with ******* ********, ********** outside *** **, *** they **** **** ****** to *** ***** ***** on ********** ******** ************. They **** **** **** significant ******** ********** ********* and ********** **** ********* AI ********* ********* *** the **** * ***** at **********.

Comments (4)

***********, ****** *** ******** startup(********) ** **** ****** month **** ****** .

****** **** **** *** not ******* ***** *** neural ********, *** ******* use ****-****** ********* (*.*. YOLOv3, ****** *-***).

*******, *** ***** *** need **** ** ***** networks? ****** *-*** *** Yolov3 ** *** **** thing ********* ***** **** v3 ***** ** ****** and **** ******* ** tests *******.****** *********: ***** *** accuracy ********** (****** *-***, R-FCN, ***, ***, ********* and ******)

**** **** ***** ********* are **** ** ****** a ****** ****** ***** of ***** **** ** camera, ** ~**'/*** *** ~10PPF.

** **** **** *** would ** ***** ****** and ** ** **** stronger ***** ** ********** to **************** *** ********* ************** **** ****** ******:"*** ******* **** ***** we **** ******* *****/*****".

**** ***** ***** ********/******** detection ** ******* *** behavior ******** *** ** not ***** **** *********, claiming **** *** *** resources *** ************* ****** for ****.

***** ** **** ** get **** **** ** behaviour ******** *********. **** is **** **** ** itself ! ***** ******* (resource ****) **** **** estimator ***** ** ********** interesting.

******'* ********* ** $** in *-* ***** ** $100M ** ******* ** right ***** ** *****-**** with *********'* $** ******* pipe ***** ** ****. These *** ********* **** grossly ************* *** ******* potential ***** ********* ** an ********* "*******" ** what **** ****** ***** stakes *** *** ****** companies ** * *****.

** ** ********* "*******" of **** **** ****** table ****** *** *** camera ********* ** * years

* ********* ***** **** this *********. ** **** devil's ********, ******, **** at **** ** ********* in ***** - ******** focused ******** ******* ***** AI ******* ******** ** governments, ********** ******* ******* plus ******* ******* *** year (*.*.,****** ********** *** ****** Examined).

** ******,***** ******* ***** **** virtually ** ****** ****** China*** *** ***-***** ****** for **** ** ****** much ******* / **** less **** ** **** larger ***** ********* ** governments.

** **** *** ******** assumption **** *** *** start-ups ****** **** **** the **** ** **** and ** ********** ***** investments ** ******* ***** products/service/competence.. *** ******** **, which ** *** *******? Claims *** ** * product ********** ** * certain *****, ***’* ****?... I **** * ******** see **** *** **** often, **** ********* ************ than ********** ********... *** necessarily ******* ***** **** case, ** ******..

*** ** ******, * am ******* **** ****** by ****...🙄😅

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