PAIMCOS Quarantine Monitoring System
Brought together by the NSSN, researchers from the University of Technology Sydney (UTS) and the University of Sydney are working with Pandemic Impact Control System (PAIMCOS) to further develop the company’s quarantine monitoring technology.
The Challenge
The system addresses privacy concerns voiced in response to other quarantine monitoring applications currently in use across Australia by interacting with users through their smartphones, without storing data that could be used for mass surveillance.
The project aims to strengthen the system by using Machine Learning (ML) and Artificial Intelligence (AI) to optimise the sequence for fraud prevention, high scalability and protection against cyber-attacks.
In addition to home-quarantine monitoring, PAIMCOS has boundary management functions allowing for effective management of hotspots (areas people may wish to exit illegally) and honeypots (areas they may wish to enter illegally, such as sporting events).
The Solution
The project aims to strengthen the system by using Machine Learning (ML) and Artificial Intelligence (AI) to optimise the sequence for fraud prevention, high scalability and protection against cyber-attacks.
Researchers from the UTS Data Science Institute are using advanced AI algorithms optimising the timing of compliance checks, based on the circumstances of each individual, which minimises the risk of non-compliance and ensures interruption for the users is minimal.
Researcher from the University of Sydney’s School of Computer Science have brought their expertise in cybersecurity and data privacy to the project, ensuring the data is collected securely and it’s permanently destroyed after sometime.
About PAIMCOS
Allows for immediate, electronic ring-fencing of individuals, households, housing blocks, suburbs or neighbourhoods.
Easy-to-use among people from linguistically, culturally and social diverse backgrounds.
The system does not require a download or opt-in procedure.
Operates on smart phones (iPhone or Android) without the use of face recognition.
Monitors the user with unscheduled calls that require a response. The frequency of calls can be scaled up or down.
Recorded contacts are automatically discarded after each week of monitoring.
If quarantine is breached, the system will notify a central point automatically (local health services, police or both).
Designed to provide a sense of community security as vaccination proceeds.
Highly cost-effective and instantly scalable.
Read more about the project here.
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