******'* *********** ******* *** ********* ************, that ** ********, ***** ** * significant ******* **** ************ ****** *********.
** **********,****** ******:
****** *********** *** *** ****** ** percent **** ***** – **** ***** have **** ********** ****** – ** images **** **** **** ** *** most *********** ********** ********* *******... ***** aspects ***** *******pose ********** caused by head movement and/or camera movements, ************ ** ********** ** ********** ******* (such ** ***** ******* ** ****, hair, ** ***** ** ******* ****** in *** **********),illumination ********** (such as low contrast and shadows), bright lighting that leads to washed out faces, low ******* and resolution that leads to noisy *** ****** *****, and distortion from cameras and lenses themselves. [emphasis added]
**** ********* * ******* ** ***+ 3-second ***** *****:
***** ***** *** **** ****** * number ** ****** ****-***** *********:
- *** ***** (*** ***)
- *** ***** (* ***)
- **** **** (**** *° ** **°)
- **** **** (**** *° ** **°)
** ******** ******* ************ (**** ** 200 ***, **° **** ****, **° down **** ** * ***, **° side ****, **° **** ****, ***.).
** **** *** ***** ** ***** 100+ ***** ****** ****** ********* **********:
- ****
- ***
- ******** (************ *** ****-*********-******-**** ***** ** Intel ** *** ****** * ***** expanded ******** *** **** ****)
- ****** ***********
******, ** ******* **** ******* *** key ********* ** ***********.
Key ********
****** *********** ****** ********* ******** *** far ****** **** *** ****** ****** including ****** ** **** ** ********:
*** ****** *** ********* ***** '***' but **** ** *** ******** ** used **** ***** ****, ********* *** lightning *** *** ******.
*** *******, **** ** ******* *** scores ** *** ********** ****, **** for ****** ***********, ***** *********** ** performance ******* *** *******:
**** ******* *** *** ****** ****** lighting ***, **** '****' ***** *********** at ****** **% ***** *** ***** performance ** ***** **%.
***** *********** *** ********* ** ****** detection ********, ** ***, *** *** away, *** *******, ** *** ****** of ********* ****** ******** *** **** running ** ** **:
*********** ** **** ****** **** *** chart ******** ** *** *********** ***** service ******** *** ***** ** ** sent ***** ** *** ***** *** other ******** *** ** **** ******* / ** *** **** / ***** the ****** **. ** ******* ***** measurement ******* ** *** ***** ******* of **** ******.
********
*****, ** ******* ** ***% ******** for ****** ***********, ***** ** ****** strong *********** *** **** ** **° down *** **° **** **** **** the ******:
![[video-to-gif output image]](https://placeholdit.imgix.net/~text?txtsize=30&txt=Premium+Content&w=640&h=300)
****, ** ******* ** **% ******** (meaning ~* *** ** ** ****** correctly ******* * ****) *** ****** Rekognition, ****** * ***** ********* ** steep **** *** **** **** **** the *******'* **** ****:
*** ***** ******, ** *****, **** much **** *********** **** *** ***********. For *******, **** * *** ** every * ****** *** * **** accurately ******** ****** **** * ***** angle *** *** ****** / ********:
*******, *** ** *** *** **** performances *** *********** *** ** **** test ********, ****** *** *****, *** subject ****** ******** ******* *** ****** but ***** **** *** *** ******** at ***:
Accuracy ***********
*** ******** ****** **** ** ************** and * **************. *********** **** ********* evaluation **** * ****** ******"**** ******* *********" (***), ***** ******** ***********-**-******* ** ****** face ********* ******** ************** ** ****** **** ********-*** ******* (something ****** "************ **** *****" ** IoU) *** ******* **** *** ********* captured * ****. ** ****'* ***** library, **** **** ****** *** *** face (***** ***** *** * ****, and ***** ** **** ***). ***** that, ** *** *** * ****** heuristic *** ********: ** *** **** frames *** * **** ******** (******** / *****-***** = ********). **** ** not *******: ** **********, ** **** not ******* *** ***** ********* (* face ** ******** ***********, **** ** the **** ** ** *** *******'* shirt). **** ******* ****** - ** we ***** **** *** *********. ** allows ** **** ******* **** ********** (lux, *****, ***) ******* ****** ** label ******** ***** *** ***** ***** of *** *******.
FPS ***********
*** ******* **** ****** **** *** Rekognition ***:
- ****** *** ***** ** ****** **
- ***** *** *****
- ***** *********** (******** ** ** *** S3 ****, *********** *****->***********)
- **** *** *****, ********* ***
* **** ****** ******** *** ************ would ** ** ****** ****** ******** via*******->***********. **** ***** *** *** ********** overhead ** * *****-**-***** *****, ***** our ***** ***** *** ********** ******** from *** *** *********** ********. ** such, *** *** ***********, ******* **** low, ***** ** **** *****.
***** ** **** ************, **** ** a ***** ***** ******* ***********, ** others ** *** ** * *******. For *******, *** *** *** ***-***** hardware *** ****** ******* ***********. *** other ****** ** **** ******* *** on ****** * ** ***** ** devices (****-***) *******, ** **** *********** trade-off ** *********-*********. ************, *********** ** a ******* *******, ***** *********** * model (**** ********'* ****-******-****) ***** **** configuration *** *****. ** ***** ****-**** performance **** *********** ** ******** (****: we *** ***** ************* ** **** is ********), *** ***-****-**** ************, *********** could ** ***** ******.
*******
*** * ****-**** ***** ************ ***********,*********** ************ ** ***** **** *** *** other ************ ***** **** ********** ***** processing ** ******, ** ***** ** far **** ********** **** **-**** **********. For *******, *********** ******* *** **-**** (N. ********) ** $*.** *** * min ** **** ****** ***** ********. Even **** **** **% ******** ** analyze (*.*., *,*** ******* ** * month), *** ******* **** ***** ** ~$50 (*,*** * **% * $*.**) just *** *** **** *********.
** *** ***** ****,****** *********** ****** ******* ***************** ****** ***********, ****** ******** (***, gender, *******), ****** *** ********** *********, etc. **** **** ********* ******** ****** do *** **** ** ***** ** likely ** ******** ** ******* **** their ***********.
********
**** ** *** *** ** ****'* new ****** ** **** ******** *****, starting ********** ********* ******,***** ****** ******* ***** * / Movidius ** ******* *** ****. ** *** ******** a ******* ** *** ***** ** the ******** ******. *** ********, ******** or *********, ****** *** ** *** comments.
Comments (8)
John Honovich
For those of you interested in the fundamentals, check out our new class next week:
Tyler will be explaining fundamentals as part of our parallel effort to provide comprehensive training and education, in addition to our ongoing tests.
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Undisclosed Manufacturer #1
Was any testing done running the algorithms with IR nightvision on? Most cameras would switch to IR nightvision (if they have the option) at 1 lux
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Matthew Del Salto
12/03/18 03:12pm
Just wait until they integrate it with Ring if they haven't already.
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Undisclosed #2
Is there any way you can post all of your raw video used in the tests for IPVM users to download and run thru their own Analytics systems?
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Undisclosed #4
Aren't you considering the "10%" factor twice in this calculation? 4,380 minutes itself is 10% of total minutes in a month.
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