Provides metrics and analysis of deploying video analytics for perimeter violation - Editor's note
For the past 3 years, my organization, C3 Shared Services, has been deploying video analytics for many facilities with the highest level of risk in South Africa. This report shares 3 key lessons we have learned:
- Our customers demand very low levels of false alerts
- Significant differences in performance exist between different video analytic manufacturers
- Optimizing the on-site setup is crucial to performance
Low Levels of False Alerts
For our customers, it is common that a fee is charged every time a responder is dispatched to follow up on an alarm. The money for these fees can add up very quickly. In fact, one of customers used to joke how false alarms from previous systems doubled the responder's salaries. Unfortunately, high level of false alarms are not acceptable by customers - both from a cost and organization basis.
Significant Differences Between Vendors
We have been participated in numerous tests with many vendors offering video analytics for perimeter violation. The poor results can be alarming. For instance, one test had harsh environment shadows from smoke stacks and pedestrian shadows cast through concrete palisade into detection zones. We had 3 analytic vendors tested with 2 cameras each for 1 week. The results:
- 6,000 alarms
- 16,000 alarms
- 175 alarms
As you can imagine, the first two (generated by two of the most respected European manufacturers) were totally unacceptable.
We went with ioimage
and have been using them for many projects over the last 2 yeras. We have deployed ioimage systems along extensive perimeters in adverse environments.
Across all of our deployments, the probability of detecting a true intruder is essentially 100%. This is actually tested by most of our customers every day and night.
False alarms have been low with the amount of false alerts depending on the environment. In our best performing environments, we rarely have more than 1 false alerts per camera per month. In our most demanding environments, with rain and reflecting light, we do not average more than 1 false alarm per camera per night. In all cases, the operators find this manageable.
Optimizing On-Site Setup Crucial
On-site system optimization is crucial and consists of two major components: camera optimization and analytic configuration.
Camera optimization is the most important and significant part of our installations. The cameras must provide clear images and a wide depth of field both day and night to allow for optimal alerting.
For perimeter violation, we place cameras on posts looking down the fenceline. The distances between cameras depends whether it is a color/IR or thermal camera.
- For color/IR infrared cameras, we place cameras every 60 meters. Our tests demonstrate that the cameras can reliably alert up to 70 meters. We provide 10 meters overlap of camera coverage to ensure that there are no deadspots and to detect anyone attempting to tamper a camera.
- For thermal cameras, we place 75 mm thermal cameras every 400 meters. Our tests demonstrate that thermal camera can reliably alert up to 450 meters. We provide 50 meters overlap between each camera (because thermal cameras have a deadspot for the first 50 meters in front of the camera).
For all cameras, we position them 5 meters to 7.5 meters high. This height ensures depth perception. Short heights make it more difficult to detect movement.
The positioning and the projection of light is important. We always seek to have lighting in front of the camera rather than behind. Specifically, we want to avoid aiming the camera directly into the rising or setting sun. If we use artifical light (such as an IR illuminator), we want to ensure that the light is projected in parallel. If the light is projected too far downwards, the auto iris may reduce light entering the camera and therefore shrink the depth of the FOV.
We budget 3 or 4 hours for optimization of each camera, with tuning done during the day and a final tuning at night.
As part of this, we setup the analytics in the appliance's web-based setup. The key element in the setup is to ensure that the depth perception is accurate because cameras provide 2 dimensional images of a 3 dimensional world. A demonstration of this can be seen in the video below:
Finally, we make sure of monthly maintenace so that the lenses are clean and that the cameras are not moved. Dirty lenses or shifted cameras can both undermine performance so this is crucial.
While video analytics requires field expertise and care in selecting of manufacturers, we have had great success deploying video analytics.
Hikvision's ImageNet Win Analyzed
on Nov 28, 2016
Hikvision is pushing hard to move up market and win at video analytics.
One notable sign is Hikvision touting their #1 ranking for an ImageNet...
Dirty Dome Camera Test
on Nov 28, 2016
Dome cameras are the most widely used type professionally but many note that dirt, dust, rain, and scratches can cause image quality problems,...
Hanwha Wisenet P 4K Bullet Tested
on Nov 21, 2016
Hanwha Techwin (formerly Samsung) continues their push into H.265 cameras, now with the high-end P series, including 4K resolution and smart...
Longse vs Dahua and Hikvision Tested
on Nov 16, 2016
For many, even $100 cameras are too expensive. That is where spam king Longse comes in with their relentless offer of ~$20 cameras.
In our past...
Samsung Wisenet Q 4MP Tested
on Nov 03, 2016
The 4MP trend continues, now with Hanwha Techwin / Samsung in their latest Wisenet Q series.
We bought one of these models, the QNV-7080R, to see...
FLIR Security Revenue Reviewed
on Oct 31, 2016
With acquisitions of Lorex, DVTel and ISD, adding to their core thermal offerings, FLIR has been building up its presence in the security / video...
Sony 35mm Super Low Light Camera Tested
on Oct 31, 2016
Sony is making a big push for their SNCVB770 camera, touting its low light capabilities that they claim can deliver true color in pitch black...
Most Recent Industry Reports
Pelco Favorability Results
on Dec 02, 2016
This is the first in a series of studies of manufacturer favorability. 100+ integrators rated and explained their views of each manufacturer.
Down to $50 IP Cameras From Honeywell
on Dec 01, 2016
$100 IP cameras are literally old news.
And you do not need to buy from spam email vendors anymore to get $50 ones.
CODEC Guide 2016
on Nov 30, 2016
CODECs are core to surveillance, with names like H.264, H.265, and MJPEG commonly cited. How do they work? Why should you use them? What issues may...
Selecting Wood Drill Bits For Installers
on Nov 29, 2016
Running cables through studs is common for roughing in residential and some older commercial installs. To do this, you will need to drill holes in...