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Please note: This post is from our website archive. Some of the information within this post may now be out-of-date.

Nurrunga

From the Director of IT, Innovation & Campus, Simon Potter

Earlier in the year, ³ÉÈË×ÛºÏÍø commenced a trial of new technology that used facial recognition to identify and match students to images that were collected in the classroom. The aim was to see whether facial recognition could be used to streamline the attendance taking process and provide teachers more time to engage with students at the start of class. Initially, six facial recognition sensors were installed in the High School and the intention in 2020 is to broaden by adding six more classrooms and the teaching spaces in the Junior Campus. At the start of 2020, we will also be using mobile kiosks to register students into the system. There is also the potential for this system to help with recording student attendance at Music lessons, checking in/out of the Library or visiting the health centre.

Throughout this evaluation process, the privacy of our students has been a high priority. The following resources provide information about how the system works and how the data is handled.

LoopLearn Privacy –

How LoopLearn works (video) –

LoopLearn FAQs –