Parsing of data between computers was the first major breakthrough which took place to record attendance data for each student but now a days there is rapid adoption of Attendance management systems in all kind of institutions (academic, corporate or high security settings). Walk-in presence, RFID cards or qr codes & fingerprint biometrics and proxy risk (in addition to time leech problem) are all present in Ageans but these are standing quarrels that offer manual error in addition to hygiene issues as not unreasonable administrative heavy loads but have had extremely limited scalability. The work aims to deal with these problems by carrying out a comparative assessment between manual attendance procedures, existing approaches and an onsite real-time face recognition−based attendance system utilizing Haar Cascade based detection, Linear Discriminant Analysis LDA Local Binary Pattern Histogram LBPH and SQL-based automated log data.