With the increasing number of COVID 19 cases, employees have stop using
conventional way of authentication such as fingerprint or paper and pen, for to
avoid infection, which is time consuming process as well as it lacks for accuracy
and security. Therefore, the need of automatic identification and secure
technology has increased. This report presents the development of “Face
Recognition and Detection Using Microsoft Face API” which is designed to
address and solve this issue. The proposed system includes Structured Query
Language (SQL) for the database, Microsoft API for the face recognition, and
multi programing languages such as Hypertext Preprocessor (PHP), JavaScript,
and HyperText Markup Language (HTML) for the system development. The
main functionality of the proposed system is that it provides strong secure
reliable online authentication system using face recognition with accurate
timestamp for each employee that will ensure the safety of all the employee with
no infection. A sample of ten individual has been taken to test the effectiveness of
the system. The results indicates that 99% of the face was successfully identified.