Empowering the team behind the camera

To protect the people in front of the camera
The Challenge

24 billion hours of CCTV video footage are generated every day

Collecting video footage is one thing, but security professionals shine when they can act in the moment of need. Unfortunately, too many security teams are stuck in an endless cycle of watching monitors.

The number of monitors one person has to manage is multiplying at alarming speed. Security teams are being tasked with monitoring remote sites, which adds to the challenge of keeping the public and property safe. It’s a lot to expect.

How Security Currently Works

Security issues are identified after they occur

With far too many cameras and a shift towards smaller teams, even the most diligent security people fail more often than they want. Technology helps with simple object detection, but it’s often not focused on real-time events.

Add increased scrutiny by the media and the public, and pressure mounts quickly. It can feel like preventing crime and protecting people and property are impossible tasks. It shouldn’t be this way.

How Security Could Work

Problems are detected before they happen

Recognising and acting on an issue before it happens are the optimal goals. Adding more staff to monitor more surveillance cameras has been the only feasible way to improve real-time outcomes. With advances in artificial intelligence (AI) technology, cameras can be trained to detect unusual events and behaviour, to signal a potential security issue.

This puts your team in front of a problem, instead of reacting to an event that’s already occurred. The best part is AI continuously learns about each environment, so it gets smarter over time without the need for continuously defining or modifying rules. Even a small team sees their prevention rates improve and security breaches decrease.

Who does this really well?

icetana are experts in AI Security Detection Software

After more than 12 years developing AI security software, icetana understands better than anyone how AI can dramatically improve the active monitoring of security surveillance networks. Security teams working with icetana software experience better outcomes for both the people in front of the cameras and those working behind the cameras.

When security incidents go down, morale and approval ratings go up for your team. The best part is the software does the heavy lifting for you, with little intervention and no need for rules or specialised training.

Why not book a demo right now and see for yourself?


How icetana works

icetana seamlessly connects to your existing system and is compatible with widely used video surveillance platforms. Once installed, it begins a simple 3-step process that immediately makes the people and property in your network safer and more secure.

Step 1

icetana learns what normal looks like for your environment

Machine learning determines which footage and what events are out of the ordinary, without invasive technology or privacy violations.

Step 2

icetana displays only the unusual events or events of interest

Typical surveillance footage is automatically hidden, revealing video feeds only when an unusual event occurs on camera. This reduces screen fatigue for security staff. All detected events are automatically flagged and saved for review.

Step 3

icetana gets better over time

Over time, and as it processes more footage, icetana gets smarter. You’ll see less on your surveillance monitors but what is shown are more important events and potential risks. Your security team has the relevant data it needs to make better decisions in real time.

Events of interest

Unusual Location

Be alerted to people or cars in unusual locations.

Events of interest

Trip & Fall

Identify people who have fallen within your scene and may require assistance.

Unusual events

Unusual Time of Day

Detect people and cars at unusual times of the day which may be suspicious.

Unusual events

Unusual Number

Be aware of an unusual number of people or cars in your scene that may need attention or be a precursor to an event.


Curtin University

  • An expansive network of cameras in operation to monitor a large and busy campus
  • 24/7 Security Operations Centre with limited resources made it impossible for operators to monitor every camera
  • Essential areas of our campus were left unobserved due to our limited monitoring capacity

As an existing customer for nearly a decade at Curtin University, we faced the challenge of an expanding CCTV network that couldn’t be constantly monitored. icetana seamlessly filled this monitoring gap. Its versatility in monitoring vast areas on our campus is unparalleled.

Christopher Hall

Security Operations Coordinator
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