* ******* ****** *******, ********** [**** no ****** *********], **** * ******** PhD ***, *** ******** * **** learning ** ****** **** ** ******* for **** $***.
*** ******* ****** "***** ******, **** forever. ******" *** ****.
** ****** *** *** ****** ***** claims. ******, ** ***** *** ******** on:
- ***** / ***** / ****** *********
- ****** ***********
- ***** ****** / ***** ***********
- **** / **** *********
- ****** *** *********
- *** ****
*******
*******, ********** ********* **** ** *** *****, with ******* ***** ****** **** ****** classification *** ****** *********** ***** *** beyond **** ***** ********/*** ***** ********* have ******* *** ****** ** *******, such ****** *********** *******.
*******, ***** ****** ****** ** ******* detection ****** ***** ****** ** *** work (*******, *******) ** **** ** potential ****** ************ ***** *** ****** nuisance ** ****** ******.
*******, *** ********** *** ** ****** limited ******** ** **** ***** *******, with ******* ******* *** ******, ********, and ******.
Market ******
*** ******* ****** ** **********'* *********** is ** *********** **** * **** can ******* ** ********* / ******** deep ******** ******. ******* ** ** a ******* ***** ** *** ******** space, ** **** *** **** *** immediate ****** ** *** ******* / larger ********** ****** ***** ** ******* their ******** ***** ** **** ****** valued.
** *** ******** ******, ********** **** have ***** ********* ***************, *** ** a ***** ***** ** $*** + $100 *** **** ******** ************, ** will ***** ****** ** ****** ********** income *****. ** *** ***** ****, there *** ********* ****** **** ** do *********** *** *** ****** **** that *** ******* *** **** ******* tapping **** **** *****.
Key ********
** *** ******* ***** **** ******* ******** results **** **********, *** ** ***** are **** ***** ******** ******* *** even **** ********** *********:
- ****** ********* ********:********** *** ************ **** ** ************* between ******, ********, *** ****.
- ****** *********** ******** (**** *******):***** ****** **** ********* ******** **********, but **** ****** **** ***************** ** attempting ** ********* ******** *** ****** the ****** **** *******.
- ******* ******** ********** / ***** ******: ****** *** ***** ***** ***** ******* language, ********* ****** ** ****, ****** well, **** *** ******* *****-******** ********.
- ******** **********:********** ************* *******/******** ****** ***** ** users' *********, **** ** ****** ************* or ****** ******* ********.
***** **** ******* ************, ** ****:
- "*******" ********* ***** ******:***** ********** ****** ***** *** ****** for/be ******* **** ******** ******* **** running, *******, ***., ** *** ***** these ******** **** *** **********, **** only "******" ******* ********.
- *********** ********* ** ******/******** ********:********** ********** ********* ** ********* ***** which **** ****** **** **** *** camera ** ********* ********, ********* ** "unknown ******" *************. **** ****** ******** for ***** *** **** ****** ** unknown ******* ***** **** **** ** nuisance *************.
- ********** ******************: ********* ******* **** **** ****** ********** as ****** ** ****, **** ** a ******* **** ***** ********** * person ** * ***** ********** ** a ***. **** * *** ** these ****** **** **** ** *** tests (
- ***** **** *******: ***** ****** *****/****** ***** ******** **** clips ** *** ***'* ***** ****, meaning **** **** ******** ** *** specific ***** **** **** ** ***** by ********* *** **, ***** *** be *********** ** ********* *** ****** older **** *** ****** ****.
- ** ******** ********:***** ** ** *** ** *****, rewind, ** **** ******* ***** *****. Instead, ***** ****** **** ***** ** finish *** ****, ******* ** ** animated .***.
*******
********** *** ** ********* ******** **** the ************ *** ~$*** ***, ****** preorders *** ********* **** ***. ********** also ******** * $***/**** ************ ****, not ********.
**** ******* *************** ****** **** **** ***/******** ******, ********* the**** *** **, $*** ******.
Physical ********
********** ** ************* ****** **** **** consumer/DIY *******, ***** * ********/**** **** factor ***** *" ****, ***** ***** compared ** *** **** *** **:
** ****** *** ******** ******** ** the ****** ** **** *****:
Lighthouse ********* ** *** ** *****
********** ********* ********** **** *** ********** represent *** ******'* ****** ***. ***** it *****, ** ** *** ** * clearly ** ******** ********* ** *** app.
*** *******, **** ****** **** **** notify **** ** '***** **** ******* new ** ****' *** **** **** is, ** *******, ** **** ** 'unknown' ****** *** ** ******** ** often * ***** ****** **** *** matched, ** ***** *****:
**** *** *** ********* ***** ** 'dog ****** *** *******', ********** **** **** an ******* ************ *** ***** ***** phones *** ********** ** *** ****** but **** ************ **** *** ******* a *******. *******, ** *** *** walker's **** ** **********, ******** *** dog ****** ** ********** ***** ************* are *******, * ************ **** ** sent **** ***** *******.
Object ***********: *****/*****/*** ***** ********
**** *** ****** ** * **** of *******, ** ** **** ****** as **** ** * ******* **** setting, **********'* ****** *********** ****** ****, classifying *** ************ *****/******* ******, ***** with ********, *** **** **** *** incorrect ***************.
********** ********** *** ******** ****** ** a ********* ***** ********* ** **** it **, ***** *****:
Object ************** ******
********** *******, ** *** *** ****** in *********** *******, **-** ********* *************** out ** ***+ ******.
**** ********, *** ****** ****** ***** objects **** ****** ******, **** ** the ***** ***** **** ** *** subject *****. **** **** ************ ****** with ******, ** ****.
************, ********* ****** ******* **** ********** as ******, **** ** *** ******* door ***** ****:
****** ***********
********** ********** ***** ******** ***** ****** recognition, ***** ****** ****** **** ** our *****, **** *** ****** ** false *************** (** ******* ****** ********** as ***** ** **** *****) ** mis-identifications (*** ***** ****** ********** ** another).
** ******* ***********, ***** *** *** images ***** ********** ******** *** ** known ***** ** ******* ** *********, shown *****. **** **** ***** ****** do *** ******* ****** *** *** suggested ******.
Occasional ****** **************
*** ******* ***** ** ****** ************** was ********** ********** ** ********* ******** which **** ****** **** **** *** camera ** ********* ********. *** *******, in *** **** ***** *** ******* is ***** ** ******* ******* *** camera ****** ******** *** *** ****. Issues **** ** ***** *** ********** to ***** ****** ***** ** *** system's ***** ******** *** *********** ******** unknown ****** ******.
Voice ******
********** ******** ******* ******** **********, ***** allows ***** ** ****** *** ****** or *** ** ****** ***** ******* phrases ******* ** ****** ** ****** multiple ******** *** ****** ******* ***** controls.
*** ******* ** *** ***** *****, we *** ***** ****** ** ****** for ***** ** * ******** ****** (based ** ****** ***********) ** * specific ********* (*********, ***-****).
*** ** **** *******, ** **** Lighthouse ** ***** *** **** (***** they **** "*****") **** ** **** a ******** ******.
Natural ******** ***********
******* ******** ** ******* ** **** it *** ****, **** ******* **** specific ******* (******, ********, ****, ****, dogs, ****) *** **** ******. *********/******** on ******* ***** **** *******, *******, or ****** ** *** ****, *** do ******.
Gesture/Action *********** **********
** *** *****, *** **** ******* recognition ***** ****** ******** *** ******, shown *****:
**********'* *** **** *** ****** ** for * ***** ** ******* * notification ** ***** ******* *** *** they ******* / *** *** **** tot ** *****.
********* *** ******* ****** ****** *** events *** ** ********** ********** *** movement ** *******:
********** **** **** **** ** ******* this ******* **** **** *** *** more ******* *****, *** *** *** give * ********.
Reliable ********* ***/****** **********
** *******, ********** ************* ***** *** disarmed ****** ***** ** *****' ****** phone ********, **** ****** **** *** all ********** **** *** ***** *** away. *** **** ***** ******** *** this ******* ** ******* *** ******'* location, *** ** ***** ************* ** manual ****** ******* *** ******** ** even *********. **** ********** *** **** ** used ** ********/******, ** ***** *** search "***** ** ** ******* ****** when **** ** **** *** * am ***" ** *** *******.
Test **********
*** ********* ******** ******* *** **** in **** ****:
Comments (13)
Rob Kilpatrick
Lighthouse has contacted us with their feedback about future features/fixes with the Lighthouse camera:
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Undisclosed #1
I don’t know if it’s the frame rate or what but it looks like a bit of “Charlie Hustle” going on there...
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Patrick Hart
I have been saying for years that the solution to accurate video analytics is 3D with multiple camera views. This is the right step in the right direction.
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Abdelhamid Metwally
Any plans for a commercial version with VMS and PoE support?
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Undisclosed Manufacturer #2
I am interesting to see the recognition in crowded areas. If only one person is walking in front of the camera it is easy .... How about to make some test of bigger room with 5 -10 people inside.
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Itamar Kerbel
What is the distance that the camera work properly with?
Just to make sure - This is an indoor only camera, right?
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Rob Kilpatrick
Update-
"Lighthouse Marketing vs How It Works" images changed to accurately represent a "new face" and a "known face" notification.
The original "unknown face" image was using the security notification received when an unfamiliar face is seen but no owners of the camera are considered "home". The image was replaced with a notification received when an owner of the camera sets a ping up to have the camera notify themselves of an unknown face and an app user is considered "home" by the Lighthouse.
The original "known face" image was using a capture of an event and was updated to a capture of the push notification.
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Undisclosed Manufacturer #3
Does the Lighthouse user documentation offer any tips on camera placement?
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Rob Kilpatrick
Lighthouse recommends, for best results, placing your camera in a well-lit place with a good amount of traffic, and with no objects blocking the camera's field of view for at least 3 feet.
Seen here under "Additional Tips".
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