DVTel ioimage HD Analytic Camera Tested

Four years after acquiring ioimage, DVTel has released new HD analytic cameras, with the promise of higher probability of detection and lower false alarm rates.  

Now, the question is whether these new models can fill the gap left by Avigilon's acquisition of VideoIQ.

We tested the ioimage HD camera day and night to answer the following questions:

• How common were false alarms and from what causes?
• What FOV width can the camera cover?
• How well does calibration work?
• How does it compare to Avigilon's built-in analytic cameras?

**** *** *** *** findings **** **** ****:

• *********** *****: ***-***** *********** ******* ****** vague ********** *** ******* feedback, ********* ***** *** error ** ******* ******** calibration. *** **** ** making * ******* ** high.
• ******** **********, *** ***** alarm *****, **** **** 1-2 ******* *********** *** day.
• *** ***** ******: ****** ******* ** ***** alarms, **** ** ****** branches, ***** *******, ******, and ********* ****** ****** few ***** ******.
• **** ***** ********* ** branches *** ********** ********* false ******, *** **** only ****** **** ******** shaken, *** *** ** normal ******/****.
• ********** ***** ****** ****** by ******** ******* (********* cars) ******* ** *** same ****, ******* ** one ******.
• ********* ******* ******** ***** ~300' ********** *** **** subject ******** *****, ******** to ~***' ** *** Avigilon *** *****.
• ********* ******** ***** **** subject ******** *** ***** was ~***' **** **. 150' ** *** ******** camera.
• ********* ***** *********** ******* (over **%) **** ******* approach ******, ******* ** crossing ***.
• ******** ****** ********** **** DVTel's *** ***. ***** claims ***** ***** *** receive ****** *** *****.
• *******, ** ***** ****** (Exacq, *********, *******, ** Avigilon) ********* ***** ****** in *** *****.

*******

**** ** *** ***** CF-5222 ** $**** ***, not ********* ****. 

***************

*****'* ******* ** ****** provides **** ******** ********* combined **** *** ***** alarm *****, ******* ** Avigilon's ******** *******. **** should ** ***** ** orient *** ****** ** subjects ***** *** ***** of **** ******* ** toward *** ****** ******** possible, ** ********* ***** when *********** ** ************* reduced.

*******, ****** ********, ***** cameras ******* ****** ***********, a ******* ***** ** often ** **** ** an *** ** * science. ***** ****** ****** trial *** ***** ** verify *** **-****** ****** calibration, ** ******* *** be ******** ********** (****** as ********, ***** ******* as ******) ** *** at ***.

*******, *** *********** *** be ** ***** *** those ***** ********* ***** than *****'* *** ******** line. ***** ***** ********* events *** *****, ***** few ***** **** *********.

***********

******** *********** ** * 10-15 ****** ******* ***** ******** a ***** ******* ** walk ******* ***** *****, used ** ********* ****, as **** ** **** distance ************, ****** ******** and ******* ******. 

***** ********** *** ***** at **** **** ** the *******, *** ******* this, ** ********* ******** error ******** **** *********** was *** ***** *** should ** *********. ************** human ************ *** ********* distance *******  ***** ******* this **, *** *** always. ***** ** ********* adjusting *********** ** ****** this ******* **** ********, we ***** ** ******** cases **** *** ****** still ********* **** **** with ******** ******* ***********.

**** ***** ******* *** full *********** *******:

*************

**** ***** ** ******* to **** *********, ******** users ** ****** *** detection ****, ****** ** objects ** ******, ******* delays, *** *******. ************, ******* allows **** ****** ** object **** *** ******** traveled, **** ** ******* terms (*****, ******, *****) as **** ** **** specific ****** ******* *****, more ******* **** **** analytics ** **** ******.

**** ***** ******* **** configuration:

** *******, *** ******* HD ****** ****** ******** boxes (***** ****** ******** objects) *** ********* ** travel ****** ** *** video. ***** *** ** configured ** ******* ** specific ******, *** *** color, ******** ******, ***., with ***** ****** ************, depending ** **** ********** and ***** ** *******. The ****** **** ******** alarm *********** **** ** tampering, *** **********, ***., directly ** *** *****.

**** ***** ******* ***** of ***** *** *******:

Event ***********

** *** **** ** our ****, ******* **'* analytic ****** *** ********** only **** *****'* *** Latitude *** [**** ** longer *********]. ***** ***** may ********* **** ********'* ***** ********* *******, *** **** ** the ***** ***** **** done **. ***** ***** ** they *** ********* ******* with ***** ***** ***** to ***** ********, ****** no ******* ***** **** given.

Test ***********

**** **** ***** *** selected ** ** **** represented *** ** *** above ***** ***** ******, with ***** *** ******* traffic, *******, *** ***** animals ******* ** * typical ********** ***********.



*************

** ********** *** ****** in **** ***** *****, as *********** *** ********* poor. ***** ************* ** found *** *** ****** which **** ** **** impact ***********.

*****, **** ****** **********, we ******* * ***** marker ** *** ********** was ***** *** ****** plane *** **** *** deep ** *** ***. Though **** ********** ***** very ******, ** **** distance ** *** **** the ******** **** ** a ***** ******* *******.



******, ******** ********** **** not ***** ********. * measurement ** *** ****** of *** ******** *** slightly ***. ** **** the ***** ******, ***** even * *** ****** off ** **** ******** (this ****** *** ~***') can **** ******** ********** and ****** ********.



***** ********* ***** ******, with ******* *********** ****** the *****, ********* ******** improved *******, **** *** false ***** ***** *** much ****** ******** *****.

False ***** ***********

*** ******* ** ****** produced **** *** ****** over *** ****** ** our *******, ******* ** or ***** **** ********'* H3A ******** ******. ****** sources **** ** ********* lights *** ******* ******** triggered *** ***** ******, about *-* *** *** in *** **** *****. Small *******, ******, *** dust ********* ** ******.

*** ******** **** ** the ********** **** ****** triggered ***** ******, **** once ****** ******* ***** normal **** **********. **** manually ****** ** ****** greater ********, ***** ****** were *********, *** **** would ******* ********* ****** winds ** ***** *********.



************, ******** ******* **** seen ** ***, ********** an ***** *** ** the ****** ******* **** of *** ******. **** was **** ****** ** 



Analytic ********

***** *********** *** ********* configuration ** *** ******* HD ******, ** *** capable ** ********* * human ******* ****** ~***' HFOV *****, ***** **** the ******** *** ******, which ******* ~***' ****. This ********* *** ******** when *** ******* *** crossing *** ***** ** view.



********* ***********

** *****, *** ******* HD ****** ***** *** greater ***** **** *** Avigilon *** ******, ******** ~230' **** **. ~***'.



Crossing **. ***********

********* ***** ** *** ioimage ** ****** *** drastically ******* **** *** subject *** ******* ****** the ****** ******* ** across *** ***. ***** issues *** ****** ** analytic *******, ****** ********* not ** ******* ** seen ****.

*** *******, ****** *** day, *** ******* ** camera ******** ******** *** subject ** * ***' HFOV ***** **** ** was ******** *** ***. However, **** ** *** walking ******** ****** *** camera, ********* ***** *******. In **** *****, ******** width *** ** ****** as **' ****, ***** in ****** ** *** up ** ***'.



Firmware ********

******* *** ******** ******** used:

• ***** **-**** ******** ********: 2.1.1.245
• ***** **-**** ****** ********: dt20141126NSX
• ******** *.**-***-***: *.*.*.**