Summary: ******** ****** ***** ******* ** ****** ********
***** ** *** *****, Axxon ****'* **** ****** worked ****** **** ** default **% ********** ********, with **** ******** ******** matched, **** *** ****** face ********** **** * week ** ******* ** a ***** ****** ** ~30-40 ******. ***** **** Search *********** **** **** time ******** ** **** specific ******** ****** ******** cameras.
************, ********* ********** ****** in ***** ***** *** WDR ********** **** ***** face *** ************ ** past ***** (*** *** test *******'* **** *** ******), **** ***** ***** usably ********** ** * <1 *** *****.
Some ******* **** *** *********
*******, ***** *** ******* key ****** ** ** aware **:
- **** ***************:**** ******** **** ********** mistaken *** ****** ** Axxon's **** ******, ** high (>**%) ********** *******. This **** ***** ******** with ******* *** ** our *****. ***** ***** similarity ********** (~**-**%) ******** more **********, ** ****, but ***** ****** *** below *****'* ******* (**%).
- ******* ***** ****** **********:** *** *****, **** other **** *** *********, face ****** ********** ********* by ~**% ** **** when ******** ****** **** or **** **** *** camera, ************ ******* ******* missed ******** (~*-**% ** the ****).
- ***/*** ***** ********** **********:************, ********** *** ******* by ~**-**% ** *** light (~*.* *** - 2 ***), ***, ** when ***** ********** **, similar ** ***** ********* in **** *****.
Upcoming **** **** *** *********
***** ***** ****'* ****** recognition ** ******* ** forensic *** ** ******* versions, ********* *** ***** to ******* **** ********* in *** **** *** months. **** ****** ** early ******* ** ***** analytics *** ***** *********** fairly ******* ** **** Search, *** ** ** unknown **** *******/************ **** be ** ***** ********** versions. ** **** ** retest **** ******** *********.
*******/************
**** ****** ** ******** at ** ********** **** with ***** **** ******** licenses (~$*** ****/*******) *** as ** ***-** ******* when ***** ***** **** Professional. ***** **** ***** does *** ******* **** Search. ****** **** **** recognition ********* **** ******* additional *********.
Face ****** *** ********
**** ****** ** ****** to ***, **** ***** selecting *** ** **** cameras, ********* * ********* image ** *** *******, and ********* ********** ********* (if *********). ********** ******** to **%, ***** ** found ********** ******** ** our *****, **** *** mistaken ************ ** ******** aside **** *-* ********, discussed *****.
*** ***** ***** ************ how ** *** *** Axxon **** ****** *******.
Configuration ********
**** ****** ******** **** detection ** ** ******* for **** ******, ***** essentially **** ******** *** rule ** ** *****, analysis ********** *** **** width/height ******** ** *********, and ********* *******.
**** **** ******** ********** may ******* ****** *** usage ** ******* ***** 1080p. *-*** ****** ** our ***** ****** *********** CPU ******, ********* ******* below ** **** ******.
*** ********* ***** ***** you ******* ************* ** face ********* ** ** individual ******.
Solid ****** *********** ***** ******* ** ****** **********
***** *****'* ******* **% similarity ** ******, **** subjects **** ******** **********. For *******, *** ******* below *** ************ ********** with >**% ********** ****** multiple ******* ** ******** conditions *** ** ******** angles, **** ** ***************** at ***** ********.
Bearded *** *************
*******, ******* ******** **** frequently ********** ** **** other ** * **** similarity *****. *** *******, the ******* ***** ** recognized *** **** ** himself ** **% **********, but ** ******* ******* man ** *** **** level. ******* ******* **** seen **** ***** ******* men ****** *******. **** that ** ***** ****** features **** ** ******* or **** ****** ***************** in *** *****.
Lower ********** **** ***** ******
*** ******* ****** ** Face ****** ********** *** head ****. *** *******, when ******** ****** **** or ** *** **** (as **** ** **** walking ********), ********** ******* by ~**-**% ** ****. However, ****** *** ****** test ** *****'* **** Rec ******, **** ****** caused ******** ****** ****** detections, ********* in * **** ** testing.
<1 *** ********* ********, *** ******* ******* **********
***** ******** *** ********** faces ** ~*.** ***, although ********** *** ******* by ~**-**%. **** ** also ** ******** ** the ***** ******, ***** failed ** ******/********* ******** at
CPU **** ******
*****'* **** ********* ********* increased **** ** ~*-*% per ***** ****** ***** analyzed ** *** *****, using ** ***** ** 5557U *********. **** ******** in ~**% ***** *** usage *** **** ***** cameras, * *********** ******** over ******* *** ******* Face *********, ***** ******** only *-*% ****.
*******, *** ***** ****** extreme **** ******* ***** 1080p **** ********. ****** two **** ***** ** view *******, * *** 5 **, ********* *** usage ** **-**%****, ********* ** **%+ CPU ***** *****. ***** using ****** ********** ******* or ***** **** **** motion ***** ****** ****** of ***** *********. ***** resolution ******* *** ** analyzed, ****** **** ********* range *************** *********.
CPU ****/*** ******* *******
*********, ***** ********* **** detection *** *********** **** on *** ******'* ***. However, **** ***** **** they **** ** ********* Intel's ******** ******** ****** toolkit ** *** **** future ** ******** **********, with ***** ******* *** GPUs.
Wide ***** ** **** / *** *** *** **********
**** **** ***** **** Search *** ** *** on *** ****** **** Face ********* *******, ***** with **** ****** ** view ****** *** *** provide *** ********* ******* in *** *****, *.*., in *** ***** ** view *****.
***** ********* ************ ** 50 ****** ******* *** eyes *** *********, ** roughly ***-*** ***. ************, even ** *** ****** are **** ****** *** analysis, ***** ****** ****** of *** *** ****** of ***** ***** *******, as ***** ****** ****** levels *** ***** *** usage ******.
Versions ****
*** ********* ******** **** used ****** *******:
Comments (13)
Undisclosed Manufacturer #1
Are you sure about this? Information I have is that it is included in their Universe version (most expensive version), is optional in their Professional (at an extra cost making this equivalent in cost to Universe) and not available in the least expensive Start version.
It is certainly not "free" if you have to go to the most expensive version if this is the primary feature you want. I guess it would be "free" if you already needed the Universe version for some other features and got this included automatically.
See https://www.axxonsoft.com/products/axxon_next/versions.php
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Sergey Bystrov
10/26/18 08:24pm
Axxon team, nice CPU usage results!
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Richie Perna
As the Master Sales Representative for Axxon in the US, we have had positive feedback and response from our clients on this great technology. The Face Detection and recognition technology is second to none. We have recently deployed this technology in serval mission critical environments and are receiving excellent feedback from our partners around the country. The technology is currently being used in large K12 Environments as well as many large scale deployments.
It is critical to install the correct hardware to support this exciting technology. when setup correctly we have found incredible accuracy. We are also the Beta site for Live Face Search results including Age / Gender classification and we are having impressive results and are looking forward to partnering with Axxon to release this shortly to security community.
These videos displayed in this article are a great depiction of how the technology works and the process to set it up. Kudos to the IPVM team on a great review with detailed test results.
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George Skouras
Couldn't agree more with Mr. Perna.
Being the distributors of AxxonSoft in Greece and Cyprus, we have had the chance to assist many of our integration partners/resellers in setting-up this advanced feature -among others- with great success and enthusiastic praise from the end-customers and the security managers who used it. Hotel entrances, critical checkpoints in buildings and other large-scale infrastructure like ports, shipping companies, gold mines, military facilities, to give some examples.
First of all we use the right cameras (140dB WDR IP cameras and sometimes also Super Starlight 0.0004Lux@colour) to overcome almost any extreme conditions. With the necessary study on the maximum distance (for the faces to be recognized) and the minimum resolution required to do that, we calculate the appropriate hardware for the servers (AxxonSoft provides a very handy tool to do so: https://sale.axxonsoft.com/calc/calculator.jsf). The results are amazing.
Note 1
Congratulations to the IPVM team for one more very detailed test. Fantastic work, once more.
Note 2
Regarding the bearded men misidentification, if you didn't refer that these two men are not really the same person (probably at a different point in time, with a longer beard, from a different angle and camera within the building premises etc.), I wouldn't be absolutely sure either that the faces belong to a different man. In my opinion, at this close face similarity, if I were a security manager searching for a suspect, I would surely like to have an opinion of my own and not let the algorithm decide.
@Undisclosed Manufacturer #1
This feature is indeed included in Axxon Next Professional Version as an extra cost per camera needed ("Extra Feature Package"). With this feature you can search for a face in a camera. And indeed can't be included in the Start Version.
And yes, this feature is by default included in Axxon Next Universe Version with no additional cost, but also as a "Multi-camera face search", which means that you can search for a face in many (or all) cameras simultaneously and also have the exact spots (where the faces are recognized/found) pinpointed on a 3D map. This feature is extremely helpful for the operators.
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Undisclosed #2
Would a person who had a full beard in the reference shot, but then shaved it completely, not be recognized at all, until re-doing the ref?
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Undisclosed Manufacturer #3
I used to work for a manufacturer that placed a little white light LED on their dome cameras that flashed every second or so. It was just enough to capture people's attention and make them look up at the dome, but not so bright or fast that it was bothersome.
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Igor Falomkin
IPVM team, thank you for this thorough test.
The mentioned high similarity between two guys with a beard was a new fact for us. Thank you for that. I think that the reason is that we do not have enough number of men with a beard in our training set for face recognition algorithm. As for every deep learning algorithm it may be fixed easily - we are going to add more appropriate images into the training set.
To decrease CPU consumption we are going to use Intel OpenVINO toolkit that provides highly optimized implementation of deep learning inference engine. I hope it will let us to process more channels on the same server.
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Nabil Reigber
Thanks to the IPVM team, very objective article! The latest free version of Axxon Next for four channels, which includes all the new features listed, can be downloaded from the AxxonSoft website. It must of course be taken into account that Axxon Next is a client server application and therefore we must choose its hardware platform with our appropriate calculator where we find the necessary recommendations for both servers and clients. Here is the link of our hardware calculator:
https://sale.axxonsoft.com/calc/calculator.jsf
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