Why Camera View Monitoring?
Each year,50% of cameraswill have a view problem
It might happen due to :
Can you afford not having these videos !?
Even the best security camera system WILL have view problems
The worst time to find camera view problems is after an incident!
Camera view goes bad without warning
With
automatically identifies problems and notifies you so you can be proactive about your camera view maintenance
identifies camera view problems

automation is fast
Automated verification saves you time by identifying the sliver of cameras with view problems for personnel to review. To review the cameras with view problemsprovides a systematized workflow in the graphical dashboard. Compare this with manual verification which involves:
  • Loading all camera images
  • Loading all reference images
  • Comparing each camera image to its reference image(s)
  • Problem reporting & resolution
  • Inspection training
  • Process quality control
  • Breaks / distractions
Use the tool on the right to estimate how long manual verification will take for your camera system
Calculate your savings
cameras
Manual verification
Time spent
Hours / Week
Staff required
Full-time employee

You can save
$
Every year
Each employee works 5 days per week while verification happens every day, 7 days per week
Based on an employee rate of $16/hour and includes employer costs such as taxes and health benefits

The Challenge of Camera Monitoring
Safety is compromised and liability is increased when camera conditions are not the same as the original desired image. To solve this problem, institutions implement a process of manually reviewing cameras, which is time consuming and error-prone. Furthermore, it is almost impossible to verify and audit if the task was really done and with what level of care.
The desired image can change due to many reasons:
▪ Moving of furniture ▪ painting over the cameras ▪ weather dirtying the lens ▪ bugs nesting inside the camera dome ▪ tilting because of car vibrations ▪ degradation over time ▪ and so much more…
With
Perfect picture
Get results, save time & money: Allowto find unusable surveillance images
Without
Unusable pictures
Each year – 50% of cameras will have a view problem

is AI (Artificial Intelligence) software developed for Duke University to automatically verify that security cameras continue to produce their intended video to improve safety and security on premises.

Corporate main offices
Las Vegas, Nevada
‪(702) 483-0870‬
Durham, North Carolina
(919) 249-8701
International offices
South Africa
sales@ai-rgus.co.za
+27 087 238 0603
Turkey
gurkane@ai-rgus.com
+90 542 637 7884
UAE
info@be-tech.ae
+971 58 590 6868
UK
garysykes@sourcepartnership.co.uk
+44 788 980 8752
' development and service are based in the U.S.A.