Calculating 180 and 360 Camera Coverage

By: John Honovich, Published on Nov 11, 2014

The key challenge in designing and using 180 and 360 cameras is to determine how far can they deliver meaningful details.

Their upside is that they can see 'everywhere' or, at least, an incredibly wide area. But the downside is that, spread out such a large area, discenible details fall off much faster than conventional cameras lenses.

**** *** ***** * new ******* ** ************* calculate ******** ***** *** estimated ******* *** **** 180 *** *** ****** cameras.

***, ****** **** ** 360 **** *** *** field ** *** **********. For *******, ** ***** at **** **', *** PPF **** ** * terrible **.*, ******* * special *** ******* *** the *** ******* ** the ****** ***** (***** on ***** ** ****** calculator ** ***°).

*** **** ******** ***** for *** *******, ** shown *****:

*** **** *** *** / *** ******* ** different **** *********** ******. Those ********* ****** * triangle *** *** ** essentially * ******** **** and *** *** ** 'lines' ** '*****' ** the ********** ***.

*** ******** ** *****, verified ** **************** *******, *** ** use *** ******* *** the ************* ** * circle (*.*., *∏*, ** 6.28 ***** *** ******** the ****** ** **** the ******). **** *** enters ** *** ** 360, ** ****** ********* used ** *********.

*** ******* ** *** you **** ** **** way ** *** *** limitations ** *** *** 360 *******. *********** ************* already **** **** *** and *** ****** **** even ****** *********, *** you *** ****** ********* and ***** ***** *******.

*** *** *** *** out ** *** ********** now.

Comments (12)

Hello John,
For typical high ceiling room 9 feet and AoV 360 with most comment camera resolution 1080 the width of scene = 6.28 x 9 = 56.5 and PPF =34. Also same result of Aov 180 when we increase the resolution and same data input just the PPF will increase

The question what is the dimension of each wall in the room (square, rectangular). For example, we have room with dimension of 12L x 12W x 9H it is covered.

Hi John,

Is it possible to update the calculator to differentiate between regular fisheye and Immervision Panamorph (the latter is assumed to produce more resolution at the edges...).

Also camera positioning information should be used in the calculation : mounting height and orientation (ceiling or wall mount).

We are looking at how to best incorporate camera height. This is especially important for 360 cameras where a camera mounted 30' high, is minimally 20 something feet away from people/cars, which will ensure poor quality video even if an object is directly underhead.

Filip, as for the Immervsion vs Fisheye differentiation, Immervision claims better quality at the edge. If there were any benefits, it would be a slightly different / wider effective FoV. We have tested Immervision and Fisheye lenses head to head (see here) and Immervision is better than some but worst than other fisheye, when testing regular, non edge areas. As such, it would not change the calculation / equation, only the potential area it was used over.

Great article; if I have a 180 20MP camera with 4 5MP imagers I would use the 5MP in the caculator?

Joel,

Yes, it would be (4) 5MP cameras with 45° FoV each, like so:

Help! I'm totally confused...

What does the field width refer to in 360 mode?

In regular mode the width meant:

the width of the object that would exactly fill the FOV horizontally at the specified distance given the specified AOV.

What does it relate to now?

Width in 360 mode is the circumference of a circle, so any given distance, the width of the fov is 6.28 x that distance.

Thanks!

Is the PPF number you give an average for the whole width, or at the edge, or center? It seems like it would vary greatly between the center and the edge of object.

Sorry, but still having trouble. Here is a practical problem:

Assuming 360 mode and using your fisheye round picture of the parking lot, how would I go about determining the PPF of where the bushes are on the left?

Would I measure the distance to the bushes disgonally down or just the horizontal component of just the vertical? Thanks.

How high are you mounting your cameras? 10', 100'?

I was using your parking lot picture as an example, it looks to me like maybe 15 feet high? It doesn't let me change the picture in 360 mode.

But what do you want to do in reality? What's your actual application you are working on?

Btw, it's not 15 feet high, it's ~10, which means that diagonal vs horizontal won't make much of a difference for monitoring.

Login to read this IPVM report.
Why do I need to log in?
IPVM conducts unique testing and research funded by member's payments enabling us to offer the most independent, accurate and in-depth information.

Related Reports

Axis Perimeter Defender Improves, Yet Worse Than Dahua and Wyze on Sep 19, 2019
While Axis Perimeter Defender analytics improved from our 2018 testing, the market has improved much faster, with much less expensive offerings...
Vivotek "Neural Network-Powered Detection Engine" Analytics Tested on Sep 17, 2019
Vivotek has released "a neural network-powered detection engine", named Smart Motion Detection, claiming that "swaying vegetation, vehicles passing...
Panasonic 4K Camera Tested (WV-S2570L) on Sep 13, 2019
Panasonic has released their latest generation 4K dome, the WV-S2570L, claiming "Extreme image quality allows evidence to be captured even under...
Uniview Pro 4K Camera Tested (IPC3238ER3-DVZ) on Aug 29, 2019
In our 8MP / 4K Fixed Lens Camera Shootout, Uniview's low end 8MP was firmly in the middle of the pack. Does their higher end Pro Series 4K camera...
Anyvision Facial Recognition Tested on Aug 21, 2019
Anyvision is aiming for $1 billion in revenue by 2022, backed by $74 million in funding. But does their performance live up to the hype they have...
Dahua 4K Camera Shootout on Aug 20, 2019
Dahua's new Pro Series 4K N85CL5Z claims to "deliver superior images in all lighting and environmental conditions", but how does this compare to...
Verkada People And Face Analytics Tested on Aug 16, 2019
This week, Verkada released "People Analytics", including face analytics that they describe is a "game-changing feature" that "pushes the...
Axis 4K Camera Shootout 2019 on Aug 14, 2019
Axis' 4K Q3518-LVE claims the "best video quality possible", with Lightfinder super low light performance, Axis' high end Forensic WDR, and...
Dahua Analytics+ Tested on Aug 07, 2019
Dahua's analytics have performed poorly in past shootouts. But now, they claim their new Analytics+ "algorithms significantly improve accuracy and...
Bosch Starlight 8000i Cameras Tested on Jul 23, 2019
Bosch has released their new Flexidome IP Starlight 8000i cameras, claiming "exceptional detail even in extreme low-light situations." To see...

Most Recent Industry Reports

ONVIF Suspends Huawei on Sep 20, 2019
Huawei has been 'suspended', and effectively expelled, from ONVIF so long as US sanctions remain on the mega Chinese manufacturer. Inside this...
Open Access Controller Guide (Axis, HID, Isonas, Mercury) on Sep 19, 2019
In the access control market, there are many software platforms, but only a few companies that make non-proprietary door controllers. Recently,...
Axis Perimeter Defender Improves, Yet Worse Than Dahua and Wyze on Sep 19, 2019
While Axis Perimeter Defender analytics improved from our 2018 testing, the market has improved much faster, with much less expensive offerings...
Directory of 68 Video Surveillance Startups on Sep 18, 2019
This directory provides a list of video surveillance startups to help you see and research what companies are new or not yet broadly known. 2019...
Uniview Prime Series 4K Camera Tested on Sep 18, 2019
Is the new Uniview 'Prime' better than the more expensive existing Uniview 'Pro'? In August, IPVM tested Uniview 4K 'Pro' but members advocated...
US Army Base To Buy Banned Honeywell Surveillance on Sep 17, 2019
The U.S. Army's Fort Gordon, home to their Cyber Center of Excellence, has issued a solicitation to purchase Honeywell products that are US...
Vivotek "Neural Network-Powered Detection Engine" Analytics Tested on Sep 17, 2019
Vivotek has released "a neural network-powered detection engine", named Smart Motion Detection, claiming that "swaying vegetation, vehicles passing...
Schmode is Back, Aims To Turn Boulder AI Into Giant on Sep 16, 2019
One of the most influential and controversial executives in the past decade is back. Bryan Schmode ascended and drove the hypergrowth of Avigilon...
Manufacturers Unhappy With Weak ASIS GSX 2019 And 2020 Shift on Sep 16, 2019
Manufacturers were generally unhappy with ASIS GSX, both for weak 2019 booth traffic and a scheduling shift for the 2020 show, according to a new...