Executive *******
** * **** ** testing, ******** ** ******* most ***** ***** *******, such ** ***** ****, shadows, ******, *** *******, with ******** ********* ** humans (********* ******* *** crawling) ** ~** ***, ranges ********** **** *** performers ** ********* ********* ******** . ************, ***** ******* in *** ***** *** dark/IR ****** ******** **** the ******** ** ******.
*******, ** ******** **** occasional ***** ****** ** small/large ******* (*-* *** day) *** *** *********** was ****** **** *** G1 ******** ******, **** significant ************ ** ******** against ****** *********.
Non-Production ********
****** *******, ********* ******** us **** ******** *** yet ******** ********* (**.*.*** build ******) ** ******* animal ***** ***** ******. However, **** *** ******** introduced ***** ****** ** parked ******** (***** *****), not **** ** ********** firmware (**.*.*** ***** ******) — ****** **** *** a ******* ***** ** our **** ** ******** G1.
** ********* ***** ******* improvements ** ******** ** address ***** ******, ** will ****** *** ****** this ******.
Improvements **** ******** ********
******** ** *** ******* improvements ******** ** ** in *** ******** *******, including ********* ** ******* subjects, ****** ********* ** animals, *** ******** ************** of ****** (** ********** classified ****** ** ******** in ****
********* ** ******* ********: ******** ** ********** ****** running ********, *** ** accurately ******** ******* ******** in *** ******.****** ********* ** *******: ** ***** ******* ** animals ********** ***** *** basic *******, ********** *** target ******** ** "*******" improved *********** *** *** not ********** *** *** of *** ****** ***** still ******** ~*-* ***** per ***. ** ******** from ******** ****** ** animals ********** ** ********.****** *** ********** ** vehicles: ******** ** *** *** misclassify ****** ** ********. G1 ********** ********** ****** as ******** ** **** scenes.
*******, ** *** ** difference ** ***** ***** which ********* ******** ** improved ** ***** *********, such ** ****** ***-***** detection *** ****** ********* area. ** *** ** performed *********** *** **** in *** ***** *** both ******** ~** *** for ******** ***** ******* detection.
Vs. ********, *****, *****
******** ** *********** ** close ** **** ** top ********** **** ********* ********* ******** :******** *** ,***** *** , ******** *********+ . ***** *** ** analytics ****** **** ********** alerts ** *******, ***** issues **** *** ******** in *** *******, *** animals ***** ****** *** be ******* ** **** applications (*.*., ******* ** more ***** ** ******** areas).
******** *** ***** ******** models *** ************* **** expensive **** ******** **, selling *** ~$*** ** more **. $*** *** Acusense. ***** ****** ******* models ***** *** ****** similarly ** ******** ** cameras.
** *** **, ******** G2 ************ ** ******* to *** *** *** fixed **** ****** (****** G1 ********* ****** *** available). ** ***** *******, wider ******* ** *********, with **** *********** *** motorized **** *******.
Pricing **. ***-******** ******
*** ********* **-*********-* *** be ***** ****** *** ~$200 ***, ******** **** than *** ******** ******** line (~$*** ******).
**** ******* ** * small ** ******** ******* over ***-******** ******. *** example, * *** ********* Value ****** ****** (**-*********-*) sells *** ~$***-*** *** online, $**-** ***** **** AcuSense **. ******** ** a *** ******* ****** (~$*** online) , ***** ******** **** Hikvision's **** ********** ********* analytics, ******* ** **** slightly ******.
"Target ********" *****
******** ** ********** ** additional "****** ********" ******* not ***** ** *** original ******** ****. **** setting ****** **** "*****" to "*******", ***** ** effectively * ************** ********** level.
** *** *******, ** found ** ******** ** using "*******" ****** ********, with ** ****** ********* or ******* ***** ******** to ***** ********.
False ****** ** ******* ***** ******* ********
******* ******* *** **** an ***** **** ***** "Basic" ********. *******, ***** alerts **** ** ****** present **** ********** ** "Highest."
False ****** ** ***** / ***** *******
**** ***** ******* ******** ("Basic"), *** ********* ********** alerted ** ***** *** large *******. ***** ****** could *** ** ********** by ***** ********* ****** Validity ********, **** *-* alerts *** *** ***** occurring ** "*******."
People ********** ******** *******, ********, **********
******** ** ********** ******** people *******, ********, *** obstructed **** ** ****** of ****** ** *** scene ****** *******.
No ***** ****** ** ***** **** ** *******
***** ****/******* ********, ***** rain *** ******** *** not ***** *** ***** alerts ** *** *****. Objects *** ******* ** seen *********** **
******* ****** ** *** scene **** **** *** alarmed **.
No ***** ****** ** ****** ****** *******
** *** *******, ****** indoor ******* ** ***** alarms **** ** ***** light ******* **** *******.
************, ******* ****** ********** the ***** **** **** ignored ** *** ******** G2 ******.
Human *** ******* ********** ****** *********
******** ** **** **** human *** ******* ************** to ****** *********, *** found ** ***** ********* models. *******, **** ******** effectively ******* ** ********* Detection ***** "*****" ****** Validity ********, ********* ** false ****** ** ******* and ******* *******.
~10 *** ****** *** ****** *********
** *** *****, ******** G2 ******** ******** ** ~180' ********, ~** *** in *** *** **-*********-* camera ** ******. ***** PPF ************ *** ***, comparable ***** ********** ********* ** our ********* , **** ********** *** ******* *** .
Improved **** ***********
**** *********** ******** **** the **, ******** **** chart ******* ** ~** PPF.
Improved *** ***** ***** *******
*** ***** ***** ******* improved, ******** ******* ***** details ** ~** ***'
Slightly ****** **** ***** ***********
** *** *******, **** light *********** *** ******** better, ********** ** ***** PPF ****** (~** *** below), **** ******** ****** facial ******* *** ****** text **********.
Poor *** ***********
** *** ***** *** performance *** ***** **** the ** ******** ******, overexposing *** ******* ******* of *** ***** *** drastically ******** ****** ******* against ****** *********.
VMS ***********
The ********* ** ****** ******* ********** ****** **** ***********, *********, *** ** ******* *** *** *** ********* **** ******* ** ********.
Unknown ***
*** ******** ** **** a *** **** ** branding, **** *****.
**** ******* **** ******** G1 ***** **** ** Ambarella *** ***** **** a ******** ****** ****** Processing **** (***).
Versions ****
*** ********* ******** **** used ****** *******:
**-*********-*: **.*.*** ***** ******
Comments (16)
Undisclosed Integrator #1
**** **** ***** **** a ***** ***?
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Undisclosed Manufacturer #2
*********** ** *** ***.
***** *** ******* *** NDAA, ******* ** *** a ********* ****** *** for *** ***** **** insight **** ********* *** stock ********** ** *** near ****.
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Undisclosed Integrator #4
*** *** **** ******** eventually *** *** ** the ***** ********* ** animals ** *** ** only ********* ***** ********* on ****** ****?
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Undisclosed Manufacturer #5
** *** ***, **** IPVM ***** **** *** made **** *** ********** or *** **** ****** that ** ** ********* else?
** *** **** *** SoC **********, ***** **** indicate *** *** *********** very **** ** ********* an *** **********?
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Chris Chambers
* **** *** * MP ******, ***** **-*********-*, and ****** ** ** miles ****** **** *** higher ****** "*****" ****** from *** ** ***** of ** ***********. **** you ***'* ******* ** this ******, *******, ** that ***'* ******** ***** on ********** ****** ** vehicles *** ***** **** large ** *****.
***** ****** ** **** a **** ******** **** drawn ** * ******** when *** *** ** in *** ******, *** example. ** * ****** correctly, **** ******* ** Bosch **** ******** ***** much ******* ** *** object ***** ********, **** that **** ***** *** happen. * ***** ******* that *** **** ** include **** **** ** information ** **** *******. Hik's ******** ***** *** also ****** **********, ***** again * ****** ****** others **** **** **** than * ******* **** that **** *** ****** follow ******** ** *******. Unless *'* ******** **** fact ***** ***** ***** is ****** ** ****, and ******** ***** *** Avigilon.
*** ***** ******** ** available ** *** **** below, *** * **** not ***** ** *** to *** ** ** makes * ********** ** bounding *** ****.
******** ** ******
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