YCombinator AI Startup Visual One Tested

By: Rob Kilpatrick, Published on Apr 02, 2020

Startup Visual One, backed by Silicon Valley's powerful Y Combinator, aims to be "Your 24/7 Watchman" with advanced analytics and object recognition for people, children, pets, wildlife, and more, working with their own OEMed cameras and compatible with Nest Cams.

IPVM tested Visual One analytics with our Nest cam examining:

  • How does this object detection work in real world scenes with animals and common objects?
  • Does it ignore common indoor and outdoor false alert sources?
  • Does it misclassify people or animals?
  • Can it detect people crawling, running, and obstructed?
  • How hard is it to set up an event?
  • What PPF levels are required for detection?

We also obtained feedback while testing and prior to publishing from founder Mohammad Rafiee.

************* ***, ****** ** ******* Valley's ******** * **********, aims ** ** "**** 24/7 ********" **** ******** analytics *** ****** *********** for ******, ********, ****, wildlife, *** ****, ******* with ***** *** ***** cameras *** ********** **** Nest ****.

**** ****** ****** *** analytics **** *** **** cam *********:

  • *** **** **** ****** detection **** ** **** world ****** **** ******* and ****** *******?
  • **** ** ****** ****** indoor *** ******* ***** alert *******?
  • **** ** *********** ****** or *******?
  • *** ** ****** ****** crawling, *******, *** **********?
  • *** **** ** ** to *** ** ** event?
  • **** *** ****** *** required *** *********?

** **** ******** ******** while ******* *** ***** to ********** *********** ******** ******.

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

*******

*******, ** ***** **** has **** ****** **** term ********* ** ** delivered ******** ********* ***** accurately. *******, ** ** a *******, **** *** early ***** *** **** need ** **** **** they *** ***** *** the ****** *******, ******* it *** ****** ** to * ****** ****** (whether ****, *** ** enterprise).

***** ** *** *****, Visual *** *** **** to ****** **** ******* in **** ******** ********* other ********* ** ***, such ** ******* ** top ** ********* *** people **** ******** *****, without ***** ****** ** common ******* **** ******* foliage, *******, ******, ***, which *** ** ****** in **** ** ******* DIY ************.

*******, **** ********* **** support**** ******* ****** ***'* *** consumer/DIY-focused *******, *** *** not ********** **** ***** or **** *******, ******** their ********** ** ****** commercial ************ (***** **** do *** ****** ******* today ******. ************, **** currently **** ***** ******** notifications, **** ** *** to ****** ***** ******, and ****** *** **** stored *** ** *****.

Positives *******

****** ***'* *** ********* in *** ******* ********:

  • ******/****** **** ** ****** Accurate:******** ******/******** ****** **** as ****** **** ** car ** *** ** couch ********* ********** ** our *****.
  • ** ***** ****** ** Outdoor *******:******* ******* ** ***** alerts **** ** ******* foliage, *******, *** (*********) animals **** *******.
  • ** ***** ****** ** Indoor *******:****** ******* ** ***** alerts **** ** ***** changes, *******, *** ****** from ******** ***** ***** turned ** *** *** were *******.
  • *** *** *** ****** Recognition:**** * *** *** required *** ******** ****** detection.

Negative *********

** *** **** **** key ********* ******:

  • ********* ** ***** *********:** *** **** ** testing, ****** *** ***** not ****** ****** **** were ******* ** ****** they *** **** *** working ** ****.
  • ** *** ** ****** Past ******:**** * ****** ***'* worth ** ****** *** be ********, **** ** way ** ****** ******** day ***** **** **** say **** *** ******* on.
  • ***** ****** ***************:****** ** ****** ********, cats **** ********* ********** as **** ****** *******.
  • ******* ************ ****** ********* Frequent ***** ******:******** ************ ****** ***** alarms **** **** **** the ****** *** ***** in *** *****.
  • **** ****** *** ******** Public *******:** ***** ** ********* with **** *******, ****** the ****** ****** (******** by ****** **** *** provided ****) ** ********.

****** *** ***** ** they *** ******* **** adding ***** ****** *** longer ***** ******* ********, and *** ** *********** with ***** ****** ************* to *** ********** *************.

*******

****** *** *** * monthly *** **$*.** *** ***** ****** ******, ******* ** Nest's *** **** ***** plans ($**/***** *** ***** camera, $*/***** *** **********) which *** **** **** limited ********* *** ****** term *******, ***** ****** One **** ***.

Event ***********

** ****** * ****** event, ***** **** *** objects, **** ** *** and ****** *****, *** select *** ******** ************ that **** **** ** be ******** **, **** as **, *****, **** to, ***. ******* ***** such ** ****** ** vehicle ********* *** **** possible.

**** **** ****** *** includes *** **** ****** type *********** **** **** analytics, **** ** *****, clock, ****** *****, ******** bat, ****, ****, ***.

Object ** *** ** / **** ** / ***** ********

********* ******/******* ** *** of, *****, ** **** to ******* *** ******** in *** *******, *** example, **** **** ********** detected ** *** ** a ****** **** *****.

**** *** ****** **** also ********** ******** **** to * *** ** truck.

Animals ********* *************

************, **** **** ************* as ****, *** **** was ********, ********* **** a *** ***** ** several **** ** *****.

No ***** ****** ** ******* *******

****** ******* ******* ** false ****** **** ******* such ** ******* ******* and ******* ** *** scene.

Common ******* ** ****** ***** ****** *******

*******, ****** ******* ** false ****** **** ******* such ** ****** ******* on *** *** ** a ****:

** ******* **** **** other *****:

People ****** ********, *******

*******, ***** **** *** key ********* ****** ** our *******. *****, ****** One ****** ****** ******* and ******** **********.

****** *** **** **** plan ** ******* ***** issues ** ****** *******.

Objects ************ ***** ******** ***** ******

**** ********** ************ ******* in *** *****, ******** "Object ***********" ****** ******** while *** ****** ** still ******* ** *** scene. *****, * ******* and ******** *** ** be ******* ** ** they ***** *** ***** but ******** ****** *** sent **** **** *** still *******.

****** *** ************ ***** issues *** **** ** improve ****** ************* ****** in ****** *******.

Low *** ****** *** ****** *********

****** *** ********* **** needed * *** *** person *********, ** *** testing, ***** *** **** IQ (***° ***) **** meant * ********* ******** of ~**'. **** *** level *** ***** *** compared ** **** ******* commercial ********* **** **********'* *********** ***.

App ******

*********, ***** *** ** recordings ** ****** **** using **** ******* ** the ***, **** ********* included **** *************. ****** One ***** **** ********* they *** ****** ************ recording ***** ***** **** Nest **** *** *** working ** ********* **** issue.

************, *** *** **** saves *** **** ****** events, *** **** ****** see *** ** *** past ******. ****** *** noted **** ******* **** alerts **** ** ***** soon.

Nest ******* ******* ****** *******

** ***** ** *** Nest ******* ** *** Visual *** *** ****** sharing ** *** **** feed ** ********, ******* anyone **** *** **** to *** **** *** view *** ******. ****** One ***** **** **** are ** *********** **** Nest ** ****** **** requirement *** ******* ** other ****** *******, ** well.

Version ****

*** ********* ******** **** used ****** *******:

  • ****** ***: ******* *.*.*

Comments (2)

**** ** **** ****, amidst *** *** *********** craziness. * **** ****** see ****. * **** hope *** ******* ****** hard ***** ******** ** the ********** ***** ***** I ***** ***** ******** would ** **** ****** valued.

**** **** ****** *** includes *** **** ****** type *********** **** **** analytics, **** ** *****, clock, ****** *****, ******** bat, ****, ****, ***

******* ******* ** *** kitchen **** * ****** ;)

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