At Ayra Analytics, we are constantly testing the boundaries of technology to automate and innovate Australia’s schools into learning institutions of the future.
Our team is currently solving one of the big challenges of student management – tracking attendance. Manually checking off names on a register is time-consuming for teachers and is prone to errors. After putting our collective heads together, we hit upon the perfect solution – facial recognition!
Here’s how it works. We initiated this technology using Python OpenCV, which is an image processing library that can be processed with pictures and video. The student pictures are saved in the library. School cameras are then able to sync with this image library to match student faces to the pre-loaded pictures, which happens via advanced machine learning algorithms.
This sophisticated technology can also be applied to identify students on school buses, to cut down on truancy. In addition, with surveillance camera integration, schools can quickly pinpoint the presence of unauthorised persons within school premises. Our number one priority is ensuring student safety, and new advancements in facial recognition software create a safer, more secure learning environment for students, educators, and staff.
But we are not stopping there. We are moving through faces to investigate the possibilities of the human brain and nervous system as the logical evolution of facial recognition technology.