

Our Loitering algorithm creates events when an individual has been in one spot for a long period of time. Some examples of the types of events that this algorithm finds are:
Individuals lingering
Crowds forming
Smokers congregating
The loitering algorithm is designed to automatically generate an event when individuals remain in a particular spot for an extended duration. A bounding box will be displayed around the specific area of interest.
Unlike standard motion sensors that trigger on any one movement, icetana’s AI is able to apply contextual intelligence to distinguish between normal waiting, for example at a bus stop or taxi rank, and anomalous lingering.
This transition from counting minutes to instead identifying intent allows security teams to intervene in potential illicit activities.


Identify individuals loitering, anticipate events and effectively de-escalate situations.
Proactive approach
Seamless integration
Enhance urban security
Secure remote sites
AI loitering detection is used in New Zealand across various industries including retail, commercial property, education and smart cities. It supports security teams in the rapid and accurate identification of suspicious behaviour.
icetana AI is a leader in intelligent behavioural monitoring, moving beyond basic "time in zone" rules to identify loitering that genuinely signals a security or safety risk.
To learn more about our loitering detection tools and our wider network of solutions, and to book a free, no-obligation demo, contact us today.
icetana AI’s loitering detection system uses algorithmic learning to identify when individuals have remained in a space for a set amount of time. It can apply contextual intelligence to determine whether the individual or group is lingering in an unusual spot for an extended period.
Book a free demo with us today.
Our Loitering detection system determines loitering as:
- Remaining idle
- Staying in or near a restricted or sensitive area for a period of time
Yes. Our solution works alongside your CCTV cameras, and will monitor and track multiple people across all cameras simultaneously.