This facial recognition app is supposed to improve class attendance, specifically in college. Instead of the old method where roll call happens and people raise their hands or verbally indicate they are here or present, the unavailable app enables professors, university lecturers and tutorial teaching assistants to make note of who is there by simply taking a picture.
Invented by Zhaozheng Yin, a computer science assistant professor at the Missouri University of Science and Technology, the idea is also designed to make the beginning of class time less tedious. With help from a National Science Foundation Innovation grant, the class attendance app will hopefully be paired with learning management software.
To use, instructors simply take a photo of their class at the beginning of term and again at the beginning of every class to match who is missing. This is logged automatically.
Class Attendance Apps
This Facial Recognition App Invented by Zhaozheng Yin is in Development
Trend Themes
1. Facial Recognition Attendance Tracking - There is potential to expand the use of facial recognition technology beyond attendance tracking, such as tracking student engagement and participation.
2. Integrated Learning Management Systems - The development of facial recognition attendance tracking could lead to a greater integration of learning management systems, creating a more streamlined and efficient learning experience for both students and educators.
3. Privacy Concerns - The implementation of facial recognition attendance tracking raises concerns about privacy and the ethical use of student data, creating an opportunity for the development of privacy-enhancing technology and policies.
Industry Implications
1. Education Technology - The facial recognition attendance tracking app has the potential to disrupt the education technology industry by streamlining classroom management and reducing administrative tasks.
2. Facial Recognition Technology - The development of facial recognition attendance tracking could lead to increased adoption of facial recognition technology in a variety of industries, such as security and retail.
3. Privacy and Cybersecurity - As facial recognition technology is implemented in more industries, including education, there is a growing need for privacy and cybersecurity professionals to ensure the ethical use and protection of personal data.