RASPBERRY PI BASED FACE IDENTIFICATION ATTENDANCE SYSTEM

currently, industries, organisations are using personal identification strategies such as RFID, Iris recognition, Fingerprint identification is used for taking attendance. Among of all these personalidentification strategies including face recognition is most natural, less time is taken and highly efficientone despite being difficult to implement, a continuous observation for overcoming it. It has sever al applications in at tendancemanagement system sand security systems. In this work, a systemisim plemented that takes attendance for students during lecture, employees in industries and etc. using face detection and recognitiontechnology. A time period is set for taking attendance and the data baseis automatically uploaded into the web server through the internet connectivity. This process is donewithout any human intervention. In the system a Raspberry Pi installed with Open CV library and a Rasp berry Pi Camera module is connected for facial detection and Recognition. The data is stored in the memory card connected to Raspberry Pi and it can be accessed through the internet. The results show that acontinuousobservationincreasesaccuracy and maximizes the output