Tracking attendance of students or employees is an important aspect for organizations in terms of resource planning, work allocation, and progress tracking. Tracking attendance manually is a time-consuming process. Hence, the deployment of facial recognition-based attendance tracking and monitoring is gaining traction across the globe.
A new patent has been granted in Russia. The patent holder is PJSC Sberbank, a state-owned Russian banking and financial services company headquartered in Moscow. The company was known as “Sberbank of Russia” until 2015. Sberbank has operations in several European and post-Soviet countries. The patent is very relevant for the present conditions, since nations like Russia and China are tracking their citizens digitally during the quarantine to know where they are at all times and if they are violating the mandatory quarantine.
Facial recognition technology has become one of the most utilized tools in airports and other entities. It is a great tool for risk assessment and controlling ational security around the globe. Facial recognition projects have been around since last century. There were many primitive attempts that took place in the 1980s.
The most notable project, and a predecessor of the currently evolved facial recognition technology, was development by Paul Viola and Michael Jones in 2001. The Viola–Jones object detectionframework is the first framework to provide competitive object detection rates in real-time. At the time a standard available computer could produce 15 images per second using this method.