AI Video Analytics in New Zealand

To protect the people in front of the camera

icetana AI are experts in AI video analytics

After more than 12 years developing artificial intelligence video analytics software, icetana AI understands better than anyone how AI machine learning can dramatically improve the active monitoring of security surveillance networks.

icetana AI video analytics company has proven to produce better results for both the active security teams in front of the cameras, and those monitoring the surveillance networks from the control room.

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

The Challenge

24 billion hours of CCTV video footage are generated every day

While collecting video surveillance footage is an inevitable part of surveillance, responding to an incident is where a security professional's strengths lie. The challenges faced by today’s security teams are numerous:

- Screen fatigue – one person in charge of a large number of camera feeds
- Remote sites – difficult to maintain safety while monitoring from afar
- Pressure – on teams and budgets to deliver
- Missed events - due to human fatigue and distraction

How Security Currently Works

Security issues are identified after they occur

Even the most thorough security personnel underachieve due to the increase in cameras to monitor and decrease in team members. While there is current technology to assist with basic object identification, this focus is often on past events rather than real-time threats. 

Pressure increases exponentially with growing scrutiny from the media and the public, and can feel as though protecting people and preventing crime are unachievable. This should not be the case.

How Security Could Work

With AI video analytics, problems are detected before they happen

Ideally, a security team could identify and deal with an event or threat before it happens. With advances in AI video analytics, cameras can be trained to detect unusual events and behaviour to signal a potential security issue as it happens or even before.

Not only will your team be able to respond in real time to a live threat, but the intelligent video analytics software will constantly be updating its learning and recognising trends and patterns for each environment, so it will automatically become smarter and better informed over time, with little input or modification required.

Who does this really well?

Why Choose icetana AI?

Our AI video analytics technology is proven to product better results with:

- Real time threat detection
- Reduced false alarms
- Improved accuracy
- Faster investigations
- Cost reduction
- Reduce operator fatigue

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

Icetana AI SURVEILLANCE SOFTWARE

Set Up Video Analytics Software in 3 Steps

Our video analytics solution is compatible with conventional surveillance platforms and connects seamlessly to your existing system. Upon installation, it will activate and within 24 hours it will begin making your property safer and more secure.

Step 1

Learning

Without sacrificing privacy by using invasive technologies, video analytics can identify what events and patterns are unusual.

Step 2

Recognition

Video feeds are displayed only when an unusual event takes place, and is otherwise hidden automatically. All events detected are instantly saved and flagged for future review.

Step 3

Improvement

The more footage it processes, the more it will learn about specific environments, and what precursors to threats or events look like. 

Demo AI Video Analytics in New Zealand

icetana AI is dedicated to creating innovative AI video analytics for security in New Zealand. We’re supporting security personnel in retail spaces, government buildings and at more remote locations with low footfall.

To learn more about our suite of products and see how your organisation could benefit from AI video analytics, contact us today for a free demo.

Campus

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
See more testimonials →

Our Partners

Nvidia
Milestone
Genetec
Rasilient
NIT
BCD Video
Prosegur
NX Witness
Macnica
360 Security

Want to learn more? Get in touch—we’d love to hear from you.

Frequently Asked Questions

How does AI video analytics work?

AI video analytics uses artificial intelligence to automatically examine, understand and analyse video content. It’s able to identify patterns, detect objects and categorise content as unusual based on its learnings.

Is icetana AI video analytics compliant with privacy regulations in New Zealand?

Yes – our core products ensure regulatory compliance. Our video footage retention is also fully configurable, so it can align with your organisation’s unique security policies.

Where can you use AI video analytics in New Zealand?

Security personnel in the following sectors might find AI video analytics particularly useful:

- Smart cities
- Government buildings
- Sports facilities
- Remote locations
- Construction sites

Can AI video analytics be integrated into existing video surveillance systems?

Yes – our services are designed for seamless integration into your current systems. We are camera diagnostic and provide easy configuration, with systems ready to use within 24 hours.

What makes icetana AI different to other AI Video Analytics in New Zealand?

icetana AI is different as it has been trained on 700 million hours of real-world video and continuously learns what’s normal on every camera. This self-learning approach reduces false alarms and delivers more accurate, real-time detection than traditional rule-based systems.

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