Lighthouse Deep Learning Camera Tested

By: Rob Kilpatrick, Published on Dec 07, 2017

A Silicon Valley startup, Lighthouse, with a Stanford PhD CTO, has released a deep learning AI camera with 3D sensors for just $300.

The company claims "False alerts, gone forever. Really" and more.

We bought one and tested their claims. Inside, we share our findings on:

  • Adult / Child / Animal Detection
  • Facial Recognition
  • Voice Search / Voice AlertSsetup
  • Home / Away Detection
  • Mobile App Usability
  • And More

* ******* ****** *******,**********, **** * ******** PhD ***, *** ******** a **** ******** ** camera **** ** ******* for **** $***.

*** ******* ****** "***** alerts, **** *******. ******" and ****.

** ****** *** *** tested ***** ******. ******, we ***** *** ******** on:

  • ***** / ***** / Animal *********
  • ****** ***********
  • ***** ****** / ***** AlertSsetup
  • **** / **** *********
  • ****** *** *********
  • *** ****

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

*******

*******, ********** ********* **** in *** *****, **** minimal ***** ****** **** object ************** *** ****** recognition ***** *** ****** what ***** ********/*** ***** offerings **** ******* *** failed ** *******, **** as**** *********** *******.

*******, ***** ****** ****** of ******* ********* ****** which ****** ** *** work (*******, *******) ** well ** ********* ****** recognitions ***** *** ****** nuisance ** ****** ******.

*******, *** ********** *** is ****** ******* ******** to **** ***** *******, with ******* ******* *** search, ********, *** ******.

Market ******

*** ******* ****** ** Lighthouse's *********** ** ** demonstrate **** * **** can ******* ** ********* / ******** **** ******** camera. ******* ** ** a ******* ***** ** the ******** *****, ** will *** **** *** immediate ****** ** *** broader / ****** ********** market ***** ** ******* their ******** ***** ** more ****** ******.

** *** ******** ******, Lighthouse **** **** ***** technical ***************, *** ** a ***** ***** ** $300 + $*** *** year ******** ************, ** will ***** ****** ** higher ********** ****** *****. On *** ***** ****, there *** ********* ****** well ** ** *********** who *** ****** **** that *** ******* *** grow ******* ******* **** that *****.

Key ********

** *** ******* ***** were ******* ******** ******* from **********, *** ** which *** **** ***** consumer ******* *** **** many ********** *********:

  • ****** ********* ********:********** *** ************ **** to ************* ******* ******, children, *** ****.
  • ****** *********** ******** (**** caveats):***** ****** **** ********* reliably **********, *** **** issues **** ***************** ** attempting ** ********* ******** not ****** *** ****** were *******.
  • ******* ******** ********** / voice ******:****** *** ***** ***** using ******* ********, ********* speech ** ****, ****** well, **** *** ******* multi-criteria ********.
  • ******** **********:********** ************* *******/******** ****** based ** *****' *********, with ** ****** ************* or ****** ******* ********.

***** **** ******* ************, as ****:

  • "*******" ********* ***** ******:***** ********** ****** ***** may ****** ***/** ******* upon ******** ******* **** running, *******, ***., ** our ***** ***** ******** were *** **********, **** only "******" ******* ********.
  • *********** ********* ** ******/******** subjects:********** ********** ********* ** recognize ***** ***** **** turned **** **** *** camera ** ********* ********, resulting ** "******* ******" notifications. **** ****** ******** for ***** *** **** alerts ** ******* ******* since **** **** ** nuisance *************.
  • ********** ******************:********* ******* **** **** rarely ********** ** ****** or ****, **** ** a ******* **** ***** classified * ****** ** a ***** ********** ** a ***. **** * few ** ***** ****** were **** ** *** tests (
  • ***** **** *******:***** ****** *****/****** ***** directly **** ***** ** the ***'* ***** ****, meaning **** **** ******** to *** ******** ***** they **** ** ***** by ********* *** **, which *** ** *********** or ********* *** ****** older **** *** ****** past.
  • ** ******** ********:***** ** ** *** to *****, ******, ** fast ******* ***** *****. Instead, ***** ****** **** start ** ****** *** loop, ******* ** ** animated .***.

Pricing

********** *** ** ********* directly **** *** ************ for ~$*** ***, ****** preorders *** ********* **** out. ********** **** ******** a $***/**** ************ ****, not ********.

**** ******* *************** ****** **** **** DIY/consumer ******, ********* similar ** ******* *** **, $*** ******.

Physical ********

********** ** ************* ****** than **** ********/*** *******, using * ********/**** **** factor ***** *" ****, shown ***** ******** ** the **** *** **:

** ****** *** ******** features ** *** ****** in **** *****:

Lighthouse ********* ** *** ** *****

********** ********* ********** **** not ********** ********* *** system's ****** ***. ***** it *****, ** ** not ** * ******* or ******** ********* ** the ***.

*** *******, **** ****** that **** ****** **** it '***** **** ******* new ** ****' *** what **** **, ** reality, ** **** ** 'unknown' ****** *** ** practice ** ***** * known ****** **** *** matched, ** ***** *****:

**** *** *** ********* claim ** '*** ****** has *******', ********** **** send ** ******* ************ for ***** ***** ****** are ********** ** *** system *** **** ************ does *** ******* * picture. *******, ** *** dog ******'* **** ** registered, ******** *** *** walker ** ********** ***** notifications *** *******, * notification **** ** **** with ***** *******.

Object ***********: *****/*****/*** ***** ********

**** *** ****** ** a **** ** *******, in ** **** ****** as **** ** * typical **** *******, **********'* object *********** ****** ****, classifying *** ************ *****/******* adults, ***** **** ********, and **** **** *** incorrect ***************.

********** ********** *** ******** object ** * ********* color ********* ** **** it **, ***** *****:

Object ************** ******

********** *******, ** *** few ****** ** *********** objects, **-** ********* *************** out ** ***+ ******.

**** ********, *** ****** merged ***** ******* **** moving ******, **** ** the ***** ***** **** to *** ******* *****. Pets **** ************ ****** with ******, ** ****.

************, ********* ****** ******* were ********** ** ******, such ** *** ******* door ***** ****:

Facial ***********

********** ********** ***** ******** using ****** ***********, ***** worked ****** **** ** our *****, **** *** missed ** ***** *************** (an ******* ****** ********** as ***** ** **** versa) ** ***-*************** (*** known ****** ********** ** another).

** ******* ***********, ***** may *** ****** ***** Lighthouse ******** *** ** known ***** ** ******* or *********, ***** *****. Note **** ***** ****** do *** ******* ****** for *** ********* ******.

Occasional ****** **************

*** ******* ***** ** missed ************** *** ********** attempting ** ********* ******** which **** ****** **** from *** ****** ** otherwise ********. *** *******, in *** **** ***** the ******* ** ***** as ******* ******* *** camera ****** ******** *** his ****. ****** **** as ***** *** ********** to ***** ****** ***** in *** ******'* ***** accuracy *** *********** ******** unknown ****** ******.

Voice ******

********** ******** ******* ******** processing, ***** ****** ***** to ****** *** ****** or *** ** ****** using ******* ******* ******* of ****** ** ****** multiple ******** *** ****** through ***** ********.

*** ******* ** *** video *****, ** *** voice ****** ** ****** for ***** ** * specific ****** (***** ** facial ***********) ** * specific ********* (*********, ***-****).

*** ** **** *******, we **** ********** ** alert *** **** (***** they **** "*****") **** it **** * ******** person.

Natural ******** ***********

******* ******** ** ******* in **** ** *** show, **** ******* **** specific ******* (******, ********, kids, ****, ****, ****) and **** ******. *********/******** on ******* ***** **** running, *******, ** ****** do *** ****, *** do ******.

Gesture/Action *********** **********

** *** *****, *** only ******* *********** ***** worked ******** *** ******, shown *****:

**********'* *** **** *** waving ** *** * child ** ******* * notification ** ***** ******* who *** **** ******* / *** *** **** tot ** *****.

********* *** ******* ****** showed *** ****** *** to ********** ********** *** movement ** *******:

********** **** **** **** to ******* **** ******* over **** *** *** more ******* *****, *** did *** **** * timeline.

Reliable ********* ***/****** **********

** *******, ********** ************* armed *** ******** ****** based ** *****' ****** phone ********, **** ****** sent *** *** ********** when *** ***** *** away. *** **** ***** required *** **** ******* is ******* *** ******'* location, *** ** ***** configuration ** ****** ****** changes *** ******** ** even *********. **** ********** may **** ** **** in ********/******, ** ***** may ****** "***** ** on ******* ****** **** John ** **** *** I ** ***" ** one *******.

Test **********

*** ********* ******** ******* was **** ** **** test:

  • ******* *.*.***

Comments (13)

********** *** ********* ** with ***** ******** ***** future ********/***** **** *** Lighthouse ******:

  • ***** ******** ** ********* we'll ** ********* ***** next ****.
  • **'** **** **** **** limited ******* ** ******** and ******* ********** ****** - **'** ******* ** a *** **** ****** be ******** *******.
  • ******* *** ******* ****'* fully ******** ***. ** fully ******** ** **** those ** ****** *** didn't ***** *** *****. It's ** *** **** near **** ******* ** deploy.

* ***’* **** ** it’s *** ***** **** or **** *** ** looks **** * *** of “******* ******” ***** on *****...

* **** **** ****** for ***** **** *** solution ** ******** ***** analytics ** ** **** multiple ****** *****. **** is *** ***** **** in *** ***** *********.

* **** **** ****** for ***** **** *** solution ** ******** ***** analytics ** ** **** multiple ****** *****.

** ** *****, *** additional ********** **** **** is * ****** ****-**-****** sensor ********* **** *** same ******* *** ** the ******.

*** ***** *** * commercial ******* **** *** and *** *******?

**********, ********** ******** ** your ********:

** *** ********** * lot ** ************* *** feature ********* ** *** enterprise *****. * ***'* comment *** ** ***** ones **** ** *****.

* ** *********** ** see *** *********** ** crowded *****. ** **** one ****** ** ******* in ***** ** *** camera ** ** **** .... *** ***** ** make **** **** ** bigger **** **** * -10 ****** ******.

*** ***** ** **** some **** ** ****** room **** * -** people ******.

**, ********** ** ******* and ********** ******** *** designed *** **** ******** where * - ** people ****** ***** ** atypical.

**** ****, * ** agree **** *** **** generally **** ****** ***** would ********* *********** *** such ***** *** *** a **** *********** ** this *******.

** **** *** ****** is ******* ** ***** of *** ****** ** is ****

* ******** *****. **** products *****, ********** ** otherwise, **** ******* ****** just ******** ******, *******, wind, ***. **** ** there ** **** *** or ** ******.

**** ** *** ******** that *** ****** **** properly ****?

**** ** **** **** - **** ** ** indoor **** ******, *****?

**** ** *** ******** that *** ****** **** properly ****?

** *** *****, *** camera ***** ***** *********** me ** * ****** (blue **** ****** ** body) ** ~**'.

**** ** **** **** - **** ** ** indoor **** ******, *****?

*******, **** ** ** indoor **** ******.

******-

"********** ********* ** *** It *****" ****** ******* to ********** ********* * "new ****" *** * "known ****" ************.

*** ******** "******* ****" image *** ***** *** security ************ ******** **** an ********** **** ** seen *** ** ****** of *** ****** *** considered "****". *** ***** was ******** **** * notification ******** **** ** owner ** *** ****** sets * **** ** to **** *** ****** notify ********** ** ** unknown **** *** ** app **** ** ********** "home" ** *** **********.

*** ******** "***** ****" image *** ***** * capture ** ** ***** and *** ******* ** a ******* ** *** push ************.

**** *** ********** **** documentation ***** *** **** on ****** *********?

********** **********, *** **** results, ******* **** ****** in * ****-*** ***** with * **** ****** of *******, *** **** no ******* ******** *** camera's ***** ** **** for ** ***** * feet.

************* "********** ****".

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