Hanwha AI Object Detection Tested

Executive *******

** **** * **** of *******, ******'* ** produced ******** ***** ******** (person/vehicle, *****, *******, *****, etc.), ****** ** ****** to ****** *** ******** objects ******** ** ****** video ******. *******, *** and ****** *********** *** inaccurate, **** *** ******** as *****, ******** ** adults, *** **** *****.

************, ******'* ******* **** VMS ****** *** ****, with ** ********* ***** of ******** * ******, requiring ***** ** ****** and ***** ******* ****** to ****** *** ****** types, ******, ** ***** specific ***********, ***** ******* and ********* ************ ******* users ** ***** ** choose ***** *******.

Vs ******** ********** ******

********* *** ******** ****** in ******* **** *** more *********** ************'* ********** *********** ***** **** ***** specific ****** *** ********* identifiers. **** ** ******** in ******* *** ********* integrations ***** ***** ***** to ***** ** ****** specific ******* *******. *******, none ** ***** ************ allow ***** ** ****** click ******** ****** ** live ** ******** ***** to ****** * ******, a *** ********* ********* of ********** ******.

******'* ******** ********* *** search ** *** **** the *** ************ ** Appearance ******, ***** ******* hardware ****. *******, ******** analytics *** ********* **** in******'* ** *-****** ** cameras***** ***-**** ******, ***** ********'*** ************ ********* ** * broader ********* ** ******* and ***** ******.

Complex ****** ** ******* ****

******'* ** ******** ** integrated ** ******* ****, with ******** ********* ** the ***** **** ***** tab **** ********, **** their ******** *********** ******. Bounding ***** ****** ****** objects ** **** *** recorded *****, **** **** showing *******/****** ******** *** descriptive ****, ** ****, shown ****:

*******, **** ***** * simple ***** ** ********* anything ***** **** ***** criteria (******, *******, ***.). In ***** ** ****** colors, ****, *******, *****, etc., ******** **** ******** enter *** ****** ****** into *** ****** ***'* search, *.*. "***: ****", shown *****. ***** ** no *** ** ***** to ****** ***** ***********.

Genetec *** ********* ******* ******

** ********, ******* *** Milestone **** ******* ****** dialogs ***** ***** ***** to ***** ******** ** clicking, ********* ****** ****, color, ******, *** ***** descriptors, ******* ** *** text ****** **** ** Wave. **** ****** ** more ******* ** **** is ***** ** ********'* Appearance ******.

** ****** *** *********** between **** *** *******/********* in **** *****:

Accurate ******* ******** ***** ******

** *** *****, ********* upper *** ***** **** clothing ****** *** ******** during *** *** *** in ******** *** ***** (~1-5 ***).

******** ****** **** **** accurate (***, ******, ******, blue). ****** ******, *.*., brown, ****, *** ***** were ********* ******** *** could ********* ** ******** if ******** ******* ******** areas.

Integrated ** *** *******

** *** **** ***** IR, *** ******** ****** either ***** ** ****, limiting *** ****** ******** to ****** *****, ****, or ***** ***** *** lower **** ********* ******* IR *****.

**** **** **** ********** is ******* ********* **** color ******, ******* ** Hanwha, **** ********** ********** ****************.

Clothing ****** ********* / ****** ******** ** "****"

******'* ********* ****** ******* subjects ** ******* **** sleeves *** *****, **** when ***** ****** ****** or ****** **** ****. This *********** ** ********* only ***** ** ******* Wave.

****** **** **** ** a ***** ********** *** will ** ***** ** future ********:

** ** ***, *****/***** clothing **** *** ******* hats *** *** ******* yet. ** ******* ****** long / ***** ** this ******. ** **** be ***** ** *** camera **** ****. ** is ******* ***** **********.

Reliable *******/**** *********

******** ******* ******* *** scene **** ******* ** a **** **** ********** identified ** **** ** our ******* *** **********. Avigilon ********** ********* ** ***** H5 ****** ****** (*** our ****), *** ** ** not ******** ** ********** Search **********, *** **** do *** ****** *******.

Accurate ******* ****/***** ******

******* ************** *** ********, correctly *********** ****, *****, trucks, ********, *** ***********.

*******, **** **** ********* identified ** **** **** and ******, ***** ** the ******* *****, * few ******* *****:

***** ****** *** ******** was **** ******** ****** the ***, ***** *****. Nighttime *********** *** ******** by ** *****, **** vehicles *** ******** ** white/black/grey, ********* *****.

*******, ** *****, ******* color ****** *** *** same ****** ** *******.

Dumpsters ********** ** ********

******** ******* ****** *** generally ********, ********* *** dumpsters **** ********** ** blue ****:

Parked ******** ************ ********

******* ** ***** ** analytics ** **** ******, Hanwha's ****** ********* ******** constant, ********** ********* ** parked ********, ********* ** frequent ****-******** ***** ********** as **** ** ******** were ****** ** *** field ** ****.

*** **** ******** ** this ***** ** ****** clutter, ** ******* *** quickly ***** ** ******* each *****, ****** ********** more *********. ******** *** still ********** ** ***** these ****** ** *** stop ***** ****** ******** from ***** ****/******.

Searching ***/****** **********

**** ********* ***** ********, searching ** *** *** frequently **********, **** ******** almost ****** ********** ** adults.

************, ****** ****** *** inaccurate, ********* *** *** women *** ***** *** men.

Camera ******** *****

***** ** ****** ********* for *** *-****** ******* is ******, **** ***** simply ******** *** ****** types **** **** ** see (******, *******, ***.). Object ******** ** **** to ********** ***** *** search.

*******

******'* ****** ******** ** included ** * ****** AI ******* (~$*,***+ *** online) *** ***** ** TNB-9000 (~$*,*** ***, *** including ****). *********** ** Hanwha ******* **** (*** Nx *******) *** ********* requires ** ******* *********. Genetec *** ********* ******* are ********* **** ****** at ** ******.

Versions ****

*** ********* ******** **** used ****** *******.

• ****** ***-******: *.**.**
• ****** ***-****: *.**.**
• ****** ******* ****: *.*.*.*****