I was asked to look at a 360 degree camera while in a wholesaler today.
Having given 360 degree cameras bad reviews in the past, I thought a fresh look might be worthwhile
First Impressions
As all 360 degree cameras have a wow factor, I let the salesman do his pitch on me of all the features and display modes before I asked for 2 simple tests
Can it identify a person
I asked one of the sales people to sit in a chair that was about 2 metres from the camera and then electronically zoomed in on them. Unfortunately you still cannot get an image quality suitable to recognise a person let alone identify them.
This has been the number one problem I have experienced with 360 degree cameras in general but given that this is a higher megapixel count than the others I have looked at, I was hoping for a better result. The sales push I see put behind these type of cameras is to use them in public area surveillance so one camera can cover a large open area. Unless you simply want to see if there are people in the scene, they will not do the job for you.
Work in varied light
The other problem I have seen in a 360 degree camera is they don’t tend to cope with varied light very well. This camera was mounted inside an office about 10 metres back from the south facing window. There was on light cast on the floor and not an excessively bright day.
Even so, the camera had little contrast of the vertical blinds along the window but the remainder of the office was a reasonable image.
My summary
I can see applications such as directly over cash register working but the camera would have to be mounted quite low if you hope to get the face detail and not just a head shot. If you take a close look at the image captured from the above Youtube video from Vivotek’s web site (25 seconds in), you can see they have left the area directly central to the camera free of people. I believe this is intentional because you cannot see a face in this position.
For other applications, unless you only want to know if someone is in an area as an overview, I would still put in other cameras for you identify image as they enter the area.
You should also checkout
How Many Megapixels does a CCTV Design need for Identification
Hi Rob,
How’s it going in the west? Lots of work?
What I don’t like about 360 degree cameras has nothing to do with the product.
It is with the people that sell them as a camera to recognise people in wide open areas, where they are installed 4mtrs high.
Every camera is good if used for the right application. Even the really cheap ones.
If you think of this type of camera as 4 individual cameras with a 90 degree lens on them, the 3.1MP becomes 0.7MP which is not much better than analogue.My maths me not be exact but you get the idea. Anyone know the formula for pixel density on these cameras?
This might help:
http://www.cctvforum.com/viewtopic.php?f=19&t=27620
Thanks for sharing the link.
It works for standard mega pixel cameras but I suspect there would be some additional losses in the 360 as a result of the electronics image correction.
Here are a couple of posts about vertical pixel density in CCTV that are similar to the link you posted
http://cctvdesign.online/how-many-megapixels-does-a-cctv-design-need-for-identification
http://cctvdesign.online/surveillance-camera-comparison-parameters
Nice stuff .. thnx for the share Tim
Hi, Tim
Actually, I did that calculation. You can check it at http://www.cctvinstitute.com.br/fisheyecamera.html
The best point to start is identifying what the areas requirements are. From that you can determine how many cameras are required based on their intended use. Identify, recognise or observe people. You can also determine if a mega pixel camera will be required.
After that look at the lighting performance that you require.
Take a look at this article for more details