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Picture quality of a 12MP camera - can't even read plate num

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Hi there,

 

I have a Dahua IPC-EBW81200 whic is a 12 Beg Pixels installed at home, and as far as I can see, I can't even read plate numbers of cars parked at a few meters from the camera.

This is even worst as you can imagine for moving cars ...

 

 

298443_1.jpg

 

298443_2.jpg

 

Is it normal or are there settings to set to enhance picture quality ?

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I'll have to say that your picture doesn't appear to be what I might expect from 12 MP camera. My own are 2MP, and on a decent day at that distance, I could probably read about the same quality - maybe better. But, there's more to reading plates - as Jerome points out.

 

Good luck.

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It is a fisheye camera ... that maybe explains.

I was taking the example of plate numbers just to show the quality was "bad" ... not necessarily to read plate numbers.

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You have posted a 0.2MP cropped screenshot, so noone will be able to tell how good/bad the image is from that.

 

If you want opinions, post a full 4000x3000 screenshot from the camera.

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it's a Fisheye (so think pixel density) and the 12mp you got is one with a 1/2.3 sensor...

 

I find the Dahua 1/1.7" sensor is way better than the Hik one, there are quite a few 4k cam's running around with 1/3 or near enough sensors which are absolute junk

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I have a IPC-HFW4830E-S 8MP IR Mini Bullet Network Camera with a 4mm fixed lens and can capture plates a fair distance away day and night.

 

Original

298560_1.jpg

 

100% crop

298560_2.jpg

 

Night

298560_1.png

 

298560_3.jpg

Edited by Guest

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Yes that does show the plates pretty clearly however those look like European plates.

 

In the US you have all kinds of fancy designs and artwork and not all states require a plate on the front of the car. US plates are also smaller and do not have the same

black block letters and numbers

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Being honest, I wasn't excepting it to be as good as it is from a 8mp sensor.

 

Daytime quality I'm happy with for a £130 camera.

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a very long time ago I asked some industry professionals about their thought's on the Fisheye's, generally they came back and said they were crap

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It's a fisheye camera and you expect to get license plates?

 

When used in the right application fisheye cameras are fantastic solutions. This is a classic case of using the wrong tool for the job.

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Sorry I have to disagree. Covering areas where you don't want any blind spots which with schools, hospitals, arenas, restaurants and warehouses this is very important and we have seen a lot of traction with them. You get a complete view of the whole area without having to jump from camera to camera so you can track and objects better. Casinos call them chase cameras for a reason.

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here is the 3000x4000 full picture of my fisheye ... as you can see you can forget reading plates ...

 

20170412_203312.bmp

 

 

Over 50% of the image is wasted looking at sky. Wrong camera for the application.

If that camera was mounted horizontal on a Pendant mount it would be much more effective.

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I agree about the 50% waste, but this is the only way I could have a not too thick camera installed on my house facade and covering 180 degrees.

Issue is not the 50% waste going to the sky, issue is the bad performance on the remaining 50% ...

 

Do you really think this camera which would have been mounted on a parking ceiling would have been able to read plate numbers ??

no

 

So the picture quality has Nothing to do with the mounting .... it has to do with the camera capabilities

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I agree about the 50% waste, but this is the only way I could have a not too thick camera installed on my house facade and covering 180 degrees.

Issue is not the 50% waste going to the sky, issue is the bad performance on the remaining 50% ...

 

Do you really think this camera which would have been mounted on a parking ceiling would have been able to read plate numbers ??

no

 

So the picture quality has Nothing to do with the mounting .... it has to do with the camera capabilities

 

 

This is a very simple math calculation. You do not have enough pixels on target to ID licenses plates because the pixels are spread out over a 180 FOV. Wrong camera for the job.

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