*****'* *** ****** ************** was **** ******** **** cars *** ******. ** low ******** ******, ********* and ******* ************** ** these ******* ****** * ~190' field ** **** *** ********, missing *** *******.
********* ** ****** *** less ********, **** ******** cars ******* ******** ********** as * *****, *** some ******* ****** ********** as ****.
******** **** ********** ***** reliably, **** ****** ******* **** strollers ** *** **** cars ******** ** *****. Actual ******** **** ************ missed ** ********** ** another **** ** ******.
*** ******** *********** *** object **************, ********* ***** to ******* ******** **********/******** lines, ** **** ** one ** **** ****** for ****** *********. *********** was ****, ** ***** measurements *** *****, *** roughly ******** ** *** size/distance ***********.
***** *** ****** ********** with ******* ******** ****** and ********* ********, **** distinct ***** ******** ********** (e.g., ****** ********* **. vehicle *********, ***.).
***************/******
**** ***** ***** ***** object ************** *********, *****'* IVA ********* **** * step ****** ** ******** to ****** *** ******** providers **** ********/******* *** AgentVI, ***** **** ******* these ************ *** **** time.
*******, ***** ****** ** careful ** ***********, *** limit ***** ***** ********* are ********, **** **** activity ****** ********** ******* objects ** ***** *** be *************. ************, ** recommend ******** ************ ** people **. ******** (**** cars *** ******), ** proper ********* ** ******** performed *****.
Firmware ************
***** ************ ** *** are ********* ******** ** firmware *.**, ********* *** most ******* ** ******* in *** ***** ****. Firmware ** ********* *** download **** *** ***** Security *******.
VMS ***********
*** ******* ****** ******** events ** ******* ******** Center *** **** *** rule ******* ** *** camera. **** ** ***** in *** ***** ****, here, **** ****, ******, and ******* "****** *** object" ***** ***** **********.
********* ******** ******** ** to ** ******** ***** analytics ****** **** ***** IVA *******, ****** **** names *** *** ****** from *** ****** *** must ** ********** **********.

******** ******* ****** *** Exacq *** *** ******* these ******** ******, **** basic ****** *********.
Calibration *******
*********** ******** ***** ** mark ***** *********, *******, and/or ****** ** *** camera's ***** ** ****. We ********* *********** ***** Google **** ************ *** angle ********* *** ***** it ** ** ****** accurate, ****** * *** feet ** ****** ************.
**** ******* ** ******** in *** ***** *****:
Detection ***********
**** ****** ******** ** the *****, ****, ******, and ****** *** ********** correctly >**% ** *** time. *** *******, ****** flags *** **** *** people *** ** **** correctly ******** ** *** respective ******* ** **** image:

********* *** ******** *** people, **** **** ******** objects ** *** *****.

**** *** ****** **** correctly ********** ** *** majority ** *****, ****** there *** **** ******* with ******, ********* ** size (*****):

*******, **** * **** (bicicyle ** *********) *** present, ** *** ********* classified ** *** *****, such ** *** *** seen ****:

Misclassification ******
*******, ****************** **** ****** for *****, *** ** a ****** ******, ******.
******* ******* ** "******"
**** ********, ****************** **** caused ** ******** ******* grouped ******** **** ***** was **** ******** ** the *****, ********* ** a ****** ****** ****** to *** ******. **** was **** ***** *** to * ***** ** cars ********* ** * truck, **** ****:

** *** ************* *******, the *********** ******* **** and ****** ** ****** most *****. *********, ***** want ** **** ******* a ******* ** *******, regardless ** *** ****. However, ** **** **** specialized ************ (*.*., ******* or ******* ***** ****** are **********, ****-**** *********, etc.), ********* ** *** distinct ******* ** *********.
***** ******* ********* ** Bikes
***** **** *** **** common *********** ****** ****, with *********** ***** ***** object **** ********* ** a **** ** *** camera ** *** ***** or *******.
*** *******, * ***** subject **** * ********:

** ******* * ******:

**** ** **** ** these *****, *** ****** is *******, ** * similar ******* ** ******* riding * ****, ****** the ****** *** *** misclassification.
*******, ** *** ***** case, *********, * *** was ********** ** * bicycle ** ****:
Cameras ****
*** ******* **** **** for **** ****:
- ***** ***-*****: *.**.****
- ***** ***-****: *.**.****
******* ******** ****** *.* SR9 *** **** *** recording.
Comments (14)
Undisclosed #1
I'm curious how it would work with a different FOV. Two things I notice:
1) The camera seems relatively low, it looks like maybe 8-9' high. I would expect improved results from a higher vantage point with a little more downward tilt of the camera
2) The FOV seems exceptionally wide and you appear to be getting barrel distortion from the lens. Looks like a ~3mm lens. I'd suggest trying something no less than 4mm to get a flatter image and to keep the overall horizon line and geometry more squared up.
What was the logic in using this FOV? Was it more or less random in the sense you picked a "typical" scene, or did it conform to some recommendations from Bosch?
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Undisclosed Integrator #2
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Itamar Kerbel
I think that Bosch is trying to do too much.
Avigilon approach of people/cars is much more reliable as I don't see any tech today that can really detect a the difference between a person and a bicycle.Its better to do less in a good way than to do more poorly.
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Undisclosed #3
Meaning other types were commonly misclassified as bikes, since no bikes were actually misclassified?
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Michael Miller
Ethan could you post some video clips from the intersection shot showing objects being detected? Also could you show images/video of the calibration setup for the intersection?
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Michael Miller
Just following up with the request for some video clips from the street shots.
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Luis Carmona
I would really like to know detection ranges in day and night scenarios, with the lens length or angle used. That to me are the most important numbers along with reliability. Getting an idea of reliable ranges gives you an idea of how many cameras are needed for coverage.
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Undisclosed Distributor #4
The cameras tested here don't support The Bosch CPP6 platform on which this IVA version is supported, therefore tests are i"not really relevant. Re-test on the Starlight 8000 and would be interesting to see results.
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