Innovative Solutions: LBPH Technology Driving the Future of Intelligent Security Systems

In today’s organisations, attendance is crucial for confirming a person’s dedication, presence, and ability to spot unauthorised access. Historically, roll calls or signatures have been used to manually record attendance. But in the age of digitalization, facial recognition presents a state-of-the-art approach to tracking attendance. This technique analyses a person’s facial traits to verify their identity. This model performs image extraction and other crucial tasks by utilising the Local Binary Pattern Histogram (LBPH) approach. Following identification, the system records the date, time, and names of those who have been identified into an Excel file. The unauthorised entry is likewise recognised and mentioned in the proposed approach. This model is remarkably capable of detecting numerous faces at once, which simplifies the attendance process. It’s especially helpful in congested circumstances because it can distinguish between duplicate items. Consequently, there is far less reliance on manual attendance systems. The proposed model can identify attendance in a multi-face detection environment with 98% accuracy, granting security access to the premises.