Sighthound Transforms Into Enterprise AI Provider Profile

By: Sean Patton, Published on Jun 14, 2019

Sighthound is now rapidly expanding its R&D team, building an enterprise AI service. This may come as a surprise given their origins 6 years ago acquiring a small residential analytics offering (Vitamin D).

Why the change?

** ***** **** ********** to ********** **** ******* their ********* *********, *** they ******** ***** ********* and *** ***********, *** where **** **** ** grow ** ** ************ crowded ******:

  • *** ** **********
  • **** ******** ** **** Offer
  • **** ********* ** ********** Targeting
  • **** ** **********'* **-**-******
  • **** **** ** *********
  • *** **** **** ** Cost
  • ******* *** ****** *****

Sighthound ********

***** ** *******, ********** is **** **********/*** ******** ******************/*** ** *******, *** **-******* (**** others) *****, ** ********** interactive ***** ******** (***) SaaS ********, ***** *********** ** ****** ******** in **** *** ~$*** million. **** ********* **** speech ********* ** *****.

**** ***** ********** *** success **** **** ***** in ****** ********* *****, they *** ****** ** replicate ** *** ***** AI ******.

*********, **** ***** ** license ***** ********* ** Sighthound, *******, **** **** they ***** **** ************ available ******* ********* ******.

**** *** **** *** years, **** **** ***** their *** ******** ****, reporting ** *********, ~** in ***********. *** * video ************ **, **** is * ********** ******** team. ********, **** *** they *** ******** ** double ** **** ** the *** ** *** year.

********** ***** **** *** self-funded ***** ** ********** exits **** ******** *********, claiming * ***** ********** of ******** ********, ********* 18 ******* ************.

VMS / ********* / **** *********

********** ****** * ******** options:

  • ********** ** *********: **** ** **** to ********* **** ***-***** applications (*.*. ***, ***). Intel, ******, *** ********* AI-based **** ******** *********. Vehicle *** ****** *********, vehicle *** **** ***********, LPR, ******* **** **************, face *********.
  • ***** ***:***-***** ***: ****** ******, ****, gender, ***, *** ****** landmark *********. **** *** developers *** **** *** API **** *** ********** use.
  • ********: *** *** ********** channel ****, **-******* **-***** face, ******, ******* *** license ***** ************.
  • ********** ***** ***: *********** *** *** focused ***, ********** **** from ******* * ***********. Runs ** ******* *** Mac, **** ****** ** analytics *** ***** ****** support.

Significant **** ********* ******

********** ************** ***** ******* ******* product *** **** **** 1,000% ********* *** *******. ******** ***** ~$*,*** as ** ****** ************ (also **** ** * perpetual ******* **** ******** maintenance), *** ** ********* sold ** *** ******** and ******* ***********, **** only ***** ****** ****** agencies ********** ******. **** said **** * ** the * ******* **** wearable ****** ************'* *** Redactor, *** ***** *** disclose *****.

** *******-***** **** ** *********, *** ** ***** that ** ********* ****. It ******** *** ***** and **** ****** ** our **** *****. ** returns * **** ** objects ********, ***** ****** that **** ** *** faces *** ****** **** detected ******** ***** ** new *******. ** **** detected ****** *********** ** the ***** **** ** the ********:

** ****** ********* ** Faces, ******, ******* ****** and ********, * ********* types (*.*. ****, ********, Mosaic), ***** *********, ********* intensity. ****, ** ****** manual ********* ** *** faces ** ****** **** were ****** ** *********.

***** *** * ******* number ** ********* ************, compare ** *** ***** of******* ***************** ***** ********.

Enterprise *** *********

********** ******** ~** ********** ** object ********* (*.*. *******, person, ****, ***, *****, etc.). **** ******** ******** multiple *************** ***** ** each **** ******** *****:

  • *******: *****, ****, *****, classes, ******* *****
  • ******: ****, ***, ******, emotion, **** *****, ****

********** **** ***** ********* are ******** ********, ******* on *****, ***, *** NVIDIA, *** ***** *+ years ********** *** ********** the ****** ******** ** run *********** ** **** hardware ************. **** ***** that **** ** ***** model ******** ** ********* on ****** *** *** speed, *** ***** ***** Xeon **** **** **** equal ******** *** ***** when ********.

**** ******** **** *** optimal *********** *** ***, which ** **** ******** based, *** ***, **** recommend ~******, *** ***** their ******* ********* ** "can * ***** **** the *****?".

**** *********** ** **** recommended ** ~******, *** they **** ** **** detect *** ****** ******* on ** *** ** 40PPF.

Hosted ***** *** *********

**********'****** *** ******* (****** demo ********* ****)****** ********* *** * sales ***** ******* ******** ***********. ** ****** *** same ***** ** ********* as ********** **, *** is ****** *** ** sold ** ****** ** API ***** ** *** party **********. ********** ***** that ****** **** *** offer ******* ***** ********* or **************, *** **** Sighthound ****** **** ********** flexibility, ******** ****** *** on-premise *********.

***** ** * ****, non-commercial *** *******, ** addition ** * ***** of **** ********** ********:

**********'* ******* ** ******* to****** ************* *** ***** *** pro ****** *** ************* less ********* *** ********** (Rekognition ***** $*,*** *** 10 ******* *** *****, compared ** $*,*** *** Sighthound).

*** ********** *** ****** are * **** ****** of ******** ********* *** already *** *** ******* and *** ****** *** on ********** ******** **** Rekognition.

** **** *** **** comparative ******* ** *** two *** ********** **** need ** ***** *********** differentiators ** ******* ******* Amazon *** **** *****.

Neural ******* ******** *****

******** *** ********** ****** networks **** ******** ******* and ******* ******** ** critical ** *** *********** of **** ******** *********(*** **** ******** *******, read ******** ******** ******** *** Video ************). ********** **** ********* on *** ********** ** the ****** ** ******** detection ********, **** *****,*** - ***,*** ******** images, ***** ****** *** privately ******* ********. **** said **** **** ********** training ***** ********* ** 5-6 ******* ******.

**** *-****** ***** ************ training *** ******* **** recognition **** **********:

VMS ********* *********** / ***

********** **** *************** ***** *********** ** ********* **** in *********** *******, ** small/medium ******** ********. ********** Video******** *** ***** ** and *** ************** *****/****, *** ** not ***** ***** *** cameras. ************, ** ****** server-based ** ********* *** people *********, *** *** face *********** ** ***************. There *** * ******** of *** ***:

  • ****: ****** ******, ****** resolution ******* ** *******
  • *****: $** *** ******, up ** * *******, no ****** ********** *****, Dropbox/Google ***** ***********. *** and ********* ******* $** per **** (***** **** 1).
  • ***: $*** *** ******, same ** *****, ** licensed ****** *****. ******** SMA *** ********* ******* $50 *** **** (***** year *).

**** **** ~***,*** ***** all-time ************** ********** *****, **** * **-**% conversion **** ** ***** or ***.

**-**-******

********** *** ********* **-**-****** strategies *** **** ******, but ********* *** **** analytic ****** *** **** for *** ********:

  • ********** ***** *** ** free ** ******** *** sold ****** ******* **********'* website.
  • ******** ** ********* **** as ** *** ******** plugin *** ******* ***********, with **** ***** ****** safety ******** ********** ******.
  • ********** ** *** ***** API *** ********* **** as *** ******* ****** to ******** *************.

Roadmap ***********

********** **** **** **** be ********** *********** ** analytics ******, ******** ** upgrading ********** ***'* **** interface, ***** **** **** needs * *******. ********** also **** **** **** be ********** *** ******* capabilities ****** ****, *** **** ** increasing ***** ********* ********.

Risks *** **********

***** *** ******** ******** may ******** ** * niche ******* *** *** residential *** ***** ** a ***** ***** ********, the **** ****** ** the ******* ** ****** in ***** ****** *** SaaS ******** ** *********. Analytics **** **** ************ struggled ** **** ****** companies **** ** ******* their ***. *** ** video ********* **** *** been ********** ** ***** surveillance, ***** **** ******** to ** * ********* until ***-***** *** ******** are ******** ** *** market.

******

*** ** ***** *** upsides ** **** **** have *********** ***** *** experience ** ******** ***** services, ****** **** * structural ********* ** ******** this ********. ** *** video ************ ****** ******* to ******* **** *******-***** AI *********, ********** *** a ****** ** ****** a *********** ******.

Comments (1)

** *** **** *** API *****, *** *** save $* * ***** by ****** * * 2M *** ******** .  ,,😀

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