ISS SecurOS Person, Vehicle, And Animal Tracking Analytics Test
*** ****** ****** ********* ** ******** to *** **** *********** ****** *** vehicle ********* ** ************ ******** *** *********. *** *** **** **** ** work ** ****-***** ******?
** ****** *** *** ******, *******, and ****** ********* *********:
- **** *** ********** ****** ******, ********, and ******* ** ****** *** ******* scenes?
- *** *** ** ***** ******* ********** classified?
- *** ****** ******** *******, ********, **********?
- **** ** ****** ****** ******* ***** alarm ******* **** ** *******, *******, lights, *** ****?
- **** ** ****** ****** ****** ***** alarms ******* **** ** ****** *** shadows?
- *** ******, *********, **** ********, *** direction ********** ********?
- *** **** **** ******** ****** (*****, size, ****** ****) **** *** **** limitations **** ** ****?
- **** *** ** ******** *** ******** person *********?
*******
** ~* ***** ** *******, ***’ SecurOS ******** *** ********** ******** *** classified *** ******, ********, *** ******* (birds, ****, ****), **** ***** ******** accurately ******** **** ******** ** ********* obstructed, *** ******** ****** ** ******* subjects.
*** *** ********** ***** ***** ****** were ***** ******** ** ***** ********** both ****** *** ******* ***** ********** and ****** ********* ********* ***** ****** on ******** ** ** ***** ****** than ********** ** ***** *****.
*******, ***** *** ****** ******** ****** (object ****, *****, *** ****), **** a ****** ****** ** ********** ** a ****, ****** ****** **** ****** across ******** *******, *** ***** ****** was ********** ** *** *******, ********* objects **** ****** ***** **** ***** searched.
Vs. *********** *********
***** ** *** ***** ***** **********, detection ********, *** *** ******** *** detection, ***' ******* ******** *** *********** is ***** ******* ******** ** *********** analytics ********* ***********'* ******* * **. *******, ***** ****** ** **** droplets *** *** ***** ** *******-********** *********** *** *****, **** **********'* *********' **** ******** ****** *********.
************, *** ****** **** ************ ***** others ** ***, **** ** ******** alerts ** ******* ****** *** ********* of *******.
*******, ******* ******** *** ****** ****** be ********** **** *****-***** ***. ********* are ** ******** ****** ***** **** ISS' *** ***.
People ******** ********, *******, **********
** *** *******, ******* ********** ******** and ********** *******, ********, *** ********* obscured ***** ********:
************, ******* ******** * ******** "*******" alert ** ******, ************** **** ***** moving ** ****** ******.
False ****** *** ******* ****** ** **** ********
*** **** ********** ***** ***** ****** in *** *** ******* *** ******** collected ** *******' ***** ********** ***** person *** ******* ******. ** **** cases, ***** ****** **** ********* ** the ********** ** *** ******'* *** IR ** *** ********.
Update: ** ***** ****** ** **** **** "********** ****** ****** ** ******" ** *******
** *** ******** *******, *** ** an ************ ***** *** ********** ****** filter ** ****** *** *** ******** working ***** ******** ** **** ***** alerts ** ***** ****/**** ***** ** dome. **** ****** ************ *** *** additional ****** ****** ******* ***** **** no ***** ****** ****** ***** ****.
No ***** ****** ** ******* ******* ** *******
***** ****** ********* ******* ***** ***** sources **** ** ******* ******* *** not ******* *** ***** ******, ****** on ****** ** ********:
*** **** *** **** ** ******* caused ** ******* *******:
No ***************** ** *******
*******, ***** *** ***** ******* ** the *****, *.*., *** ***** *** small **** *****, **** *** ********** as ****** ** ******** ** *** tests.
Accurate ****** *********
*** ******* ******** ******** ** ****** to ***** ** ******* ** *** scene ***** ********** ******** ****, ****, and ***** ** *** *****.
*******, **** **** ****** ********* ** a ******** ******** **** ******/******** *** SecurOS ****** **** * ****** ******* to ** *** ** **** ******. Because ** ****, ***** **** ****** to ****** ****** *** *****************, *** ****** ****** *** ***** simultaneously.
No ***** ****** ** ****** ****** *******
****** ****** ******* ** ***** ****** were ******* ** ******* ********, **** as ***** ***** ******* (****** ***** turned **/***).
************, ******* **** ****** ** *** scene ******** ** ****** ******* **** not ******* **.
Other *********: ******** **** ********, *********, ***** *********
*** ******* ******** *** ******** ********** analytics, **** ** **** ********, *********, and ***** ********* *********, ***** *** based ** ***** ****** *** ******* detection.
** *** *******, ******** *** ****** crossing ***** **** ********** ********, **** no ****** ** ********* **********.
********* ********** ******* **** * ****** remained ** *** ***** ****** * preset ****:
*******, ***** ********* ****** **** ********* accurately **** * ****** ** ******* traveled *** ***** *** ** *** scene, **** ** *** *** ********* to *** **** *****, ******* ** to *** *****.
False ***** ********* ******
******* ******** ***** *********, ** ****, but ** *** *****, ** ***** frequent ***** ****** ** ******** ******** the *****:
************, *** ******** ********** ******* **** fewer ****** **** ********** **** ** the *****. *** *******, ******* *** analytic ***** *** ** ***** **** on ****** ** * ** ****, it ****** ** *** ****** ** the ******* *****.
Update: ***** ****** ******** **** "********** ****** ****** ** ******" ** *******
** *** ******** *******, *** ********** neural ****** ** ****** *** *** properly ********* ***** ******** ** ***** alerts ** ******* *** ***** ***** alerts ** **** ****** **** *** in *** *********. **** *** ********** neural ****** ********* *** ******* ********, there **** ** ***** ***** ****** on ******** ** *** ***** *** the ****** ****** ** ****** **** alerted **. *** ******* *** ********* for ***** ****** ** *** ** three ****** ** *** ***** ***** and ********** ******* **** ***** ****** were ** *** *****.
Forensic ****** **** ********* ** *** ******
*** ****** ******** ******, *** ****** competitors **** ********** ********** ****************'* ******* ********** ******, ***** ***** *** **** ** search ****** ******** *******, ******* *** only ****** * ****** ******.
*** ******** ** **** *****:
****** ****** ******** ******* (*** *** SecurOS ******** *** ******) ** * known ******* *** **** ** ********* in ** ******** *******.
Searching ** ***** ********* **** ***-******** *****
********* ** ***** *** ********** *** found **** ******** *** ******* *** specified *****. *** *******, ***** ** found *** ******** ** ******, *****, it **** ******** ******** ******* ***** shirts *** **** *****.
*********, ******* ***** ***** *** ******** of *** ******** *****, *** **** found *** ******* ***** ********* ********* that *****. *** *******, ********* *** black ******** ****** * *** *** truck **** ***** ****, ****** **** were ******* ***** ******.
*** ********:
*** ****** ********* ******* * ****** per ****** ** ******. ** ** the ****** *** ****** *** ** the ******, ** **** **** ** in *** ******.
Reliable ****** ********* ** ~** ***
****** **** ******** ******** ** ~** PPF, *********** **** ***** ********* **** as ******** *** ********. **** ******** in *** ********* ********* ***** ***** a ***** ******.
*****
***** *** ****** *** **** ******** the **** ** ****** ***** ********* analytic ** *** *** **** * region ** ********, ***** *****.
Versions ****
*** ********* ******** **** **** ****** testing.
- *******: **.*.***
*****, ** **** * **** ** the *** ***/*** **** *** ***** detection ****:
*****,
** *** ***** **** ** *** the ******** ** ****** *** ******** please ******* ** *** * **** arrange * **** *** ***.
**** *******,
******* ** *****
******
** *** ******** ******* *** "********** neural ****** ** ******" *** *** properly ******* *** ** ** ************ error.
**** ******** ** ***** ****** ****** heavy **** *** ***** ***** ********* alerts ** ******** *** * ***** amount ** ****** **** *** *********. After ******* **** *** ********** ****** filter ** ****** ******* ******** ***** were ** ***** ****** ****** ***** rain, ***** ***** ********** ** ********, and ***** ****** ********** ******** ** amount ** ****** ****** **** *** set *********. * ***** ** ****** to **** ******* ********** *** *** results.
************, * ***** *** ******** ** the ******** ***** ****** ***** ***** was *** *********:
*** ****** ********* ******* * ****** per ****** ** ******. ** ** the ****** *** ****** *** ** the ******, ** **** **** ** in *** ******.
*** ******** *** **** ***** ** the "******** ****** **** ********* ** a ****** ******" ***** **** *** following:
****** ****** ******** ******* (*** *** SecurOS ******** *** ******) ** * known ******* *** **** ** ********* in ** ******** *******.
** ***** **** * **** ****** software ** ** **********, * ***** like ** **** *** **** *** it ******* **** *** ******* ** vehicle ******* ******