A team of Missouri S&T researchers has developed an app that tracks classroom attendance using a smartphone camera.
The National Science Foundation Innovation Corps awarded Zhaozheng Yin, assistant professor of computer science, a $50,000 grant for the project.
Yin and his Ph.D. student, Yunxiang Mao, developed the original facial recognition algorithms. Here’s how it works: At the beginning of class, an instructor will sweep a smartphone camera across the room, taking a few seconds of video of all the students present. That initial video will be stored and then compared to subsequent classes, recording attendance automatically.