Video surveillance technology has become a tool of choice for organisations looking to protect their facilities and staff, with some estimates putting the number of installed surveillance cameras over one billion worldwide.
Value of recorded video
For the majority of these camera installations, the value lies in the recorded video, providing visual evidence of potential incidents, a shoplifter in a retail store, fraudulent activity such as insider threats or a faked “slip and fall”, an attempted mugging on a city street or a forklift accident in a warehouse.
Security, legal, and operations staff and law enforcement rely on recorded video for internal investigations of security incidents, to counteract liability claims, and to prosecute offenders.
Challenges with camera health
Fatigue and boredom, factors not to underestimate, affect the quality of the verification as well
Yet over one year, an estimated 50 percent of cameras will have a view problem, either impacting the clarity of the image, a change in the field of view of the camera to look in the wrong direction or obstructing the video that is being recorded. This is why it is important to regularly monitor the health of surveillance cameras, but this task can be impossible for a person to manage alone.
With many camera installations numbering in the hundreds, thousands, or more, the job can be tedious and take hours each day for a person to accomplish. Fatigue and boredom, factors not to underestimate, affect the quality of the verification as well.
AI for camera health
Using Artificial Intelligence to regularly monitor camera health is creating huge gains in this highly manual inspection process where security staff physically inspect each camera to ensure that the camera’s field of view is not askew, the lens is not dirty or blurred, and that the camera has enough storage capacity to capture these potential incidents.
Using new AI-powered software, this process can now be automated to immediately detect any potential camera issues without a physical inspection of the camera and alert security staff to correct the problem.
Automated camera inspection
“In the same way that you would not consider stepping into a car without airbags, deploying a camera system without reasonable measures of protection that the devices will function when you need them should be a thing of the past,” said Daniel Reichman, Ph.D., chief executive officer and chief scientist of Ai-RGUS.
“Automating the camera inspection process saves operator time and provides peace of mind to the camera system owner because they can be sure the task is completed each day and that they have complete visibility into the status of the camera system they depend on.”
Ai-RGUS solution
Software developed by Ai-RGUS monitors all cameras within a security system to alert users if the image is otherwise faulty
Originally developed and deployed at Duke University in 2017 to manage the school’s more than 2,000 cameras, software developed by Ai-RGUS monitors all cameras within a security system to alert users if the image is blurred, blocked, tilted, or otherwise faulty.
The Ai-RGUS solution also automatically catches other surveillance issues, such as low light conditions, potential camera/NVR/DVR misconfigurations or failures, incorrect video timestamps, and missing or not enough days of recordings.
Automated cybersecurity updates
The Ai-RGUS solution can also support an organisation’s cybersecurity programme by automating critical cybersecurity updates to maintain the integrity of the camera system.
Using the software, security staff can use the system to automatically execute firmware upgrades and remotely remediate an array of issues, including the ability to change out-of-date or insecure passwords and reboot devices and cameras. Integrated with more than 60 surveillance camera software platforms, including several ticketing and alert programs, the Ai-RGUS software is a seamless solution that works with a majority of manufacturers in the security industry.
