recognize people from the side

joe55

n3wb
Jul 6, 2023
5
1
Europe
Hello

I am contemplating about buying a Hikevision NVR (Pro series with AcuSense) and would like to know:

How high are the chances that Hikevision NVR (Pro series with AcuSense) does correctly recognize a person from the side (among 20 known persons)?


Thank you!

Joe


PS
Not yet decided which cam and NVR to buy
 
I would guess it depends on how strong your model is. If you give it enough images to compare to, then it should have a higher probability.
 
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There are different forms of face recognition. On some models, face recognition simply means it sees a face and triggers on that - simply another form of human AI. But it won't ID them or compare to other faces.

Keep in mind that most of us have found that facial identification is more gimmicky and novelty than anything else. If you have to put in 5 or 10 or 15 or 35 pictures or more of yourself in the system for it to recognize it is you...then you shouldn't expect much.... My success rate was under 5% so I moved on to other things LOL.

It can work in certain situations like a business that requires everyone to stop in front of the camera and the camera is at head height. Outside of that, the percentage of being accurate is probably not going to be super high. You will get a lot of false "confirmations" doing a search.

Someone here posted once how horrible it was inside his house identifying his neighbors and others as him. Another guy his kids and wife were being tagged as him.

Unless you spend the big bucks that casinos and airports have LOL.

Heck even in ideal situations like a business with the camera at ideal height and optimal lighting it fails....

 
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Thank you for that helpful informations! In this case it's very likely that i have to review the recordings manually ...

1.
But is it at least possible to jump from frames with motion detection(a person) to the next frames with motion detection?

2.
Is for this requirement the Pro series with AcuSense needed, or is the Pro Series ok?


Thank's!

Joe