Self learning AI software that detects unusual or interesting events across large surveillance networks.
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.
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.
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.
After more than 12 years developing AI security analysis software, icetana understands better than anyone how AI can dramatically improve the active monitoring of security surveillance networks. Security teams working with icetana analytics 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.
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 company's network safer and more secure.
Machine learning determines which footage and what events are out of the ordinary, without invasive technology or privacy violations.
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 anomaly events are automatically flagged and saved for review.
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.
Be alerted to people or cars in unusual locations.
Identify people who have fallen within your scene and may require assistance.
Detect people and cars at unusual times of the day which may be suspicious.
Be aware of an unusual number of people or cars in your scene that may need attention or be a precursor to an event.
Tamdeen Malls - Kuwait
icetana was initially implemented to prioritise abnormal events and respond proactively, but I would say it is something beyond security as it has positively impacted capacity planning, risk mitigation & presented site efficiency improvements.
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