Mahindra University’s student, Kartikeya Bhardwaj (Mechanical Engineering Student, Class of 2020), has created a deep learning app, Chakshu Face Attendance, to provide employers/institutions/organisations with touchless recording of attendance attributes. Especially relevant in today’s Covid outbreak, this app provides a safe alternative to touch-based fingerprint attendance systems. The start-up is being incubated at Mahindra e-hub, an incubation centre of Mahindra University under the University’s Centre of Entrepreneurship & Innovation.
In big organisations, for attendance, fingerprint or ID scanners are the norm. In Covid times, “touchless” technology is the call of the hour since anything that is used by many people may turn out to be conduit for transmission of the virus.In addition, a common issue is that of Buddy Punching, where employees do proxy attendance of their colleagues using their IDs results in huge losses and is an unethical practice that still floats around in offices all over the world.
Chakshu.ai has developed Chakshu Face Attendance, a Touchless Employee Attendance App that lets an organisation Clock attendance through an android device (phone or a tablet), using Face Recognition. The Attendance process is Completely touch-Free, and Covid-19 ready. It also eliminates the Buddy Punching problem through SpoofSense: Chakshu’s AI algorithm is trained to detect Spoofing attacks and reject them, thereby making the process secure and trustable.