The NSW Smart Sensing Network 2022/23 Annual Report is now available for viewing.

Novel biosensors and robot swarm systems for the detection of chemical, biological, radiological and nuclear environments were just some of the unique capabilities presented at a symposium co-hosted by the NSW Smart Sensing Network and the Centre for Advanced Defence Research & Enterprise at UNSW last week. 

Members of the sensing industry and researchers from across the sensing ecosystem attended the popular NSW Smart Sensing Network Industry Connect at UTS this month.   

This month help us tackle some of the most complex challenges by applying for our Grand Challenge Fund. Read how representatives of industry, government and researchers are trying to identify smart sensing solutions for hospital textile waste. And learn how a neuromorphic camera is helping a recycling waste project in this month's intriguing thought piece.

The NSSN is now accepting applications to support innovative, collaborative research projects that respond to the NSSN Grand Challenges. 

In this thought piece, Dr Alexandre Marcireau, a researcher in Neuromorphic Engineering from the International Centre for Neuromorphic Systems at Western Sydney University (WSU) describes the application of the neuromorphic camera, technology that has been inspired by biology to accurately observe fast-moving insects such as flies.

A project led by the UTS Institute for Sustainable Futures in collaboration with the NSW Smart Sensing Network and the University of Newcastle’s FASTLab seeks to understand older Australians’ attitudes to using sensors and robots in their home.

The purpose of an NSSN co-design workshop was to get a clearer understanding of the barriers and opportunities to introducing circularity to textile waste generated by hospitals, and understand how smart sensors can help the process.

Professor Julien Epps will lead the largest engineering faculty in Australia.

A NSW Smart Sensing Network Grand Challenge project has finetuned a sensor to detect the component of lightning responsible for ignition and most likely to start a fire in Australia.

A simple, cheap and non-invasive blood test could help predict a person’s risk of developing Alzheimer’s disease up to 20 years before symptoms show.   

The Connectivity Innovation Network (CIN) in collaboration with the NSW Smart Sensing Network (NSSN) is calling for proposals to develop innovative disaster sensing technologies in the fields of physical and information sciences and engineering.