HAND GESTURE AND DETEKSI WAJAHDETECTION USING RASPBERRY PI

Face detection is currently used for various purposes, one of which to record employees attendance. This strategy ineffective since the still can hack attendance by making their own photos and put them in desks. If they are unable come office,they always ask colleagues submit already available photos.Therefore, an alternative that complement current face method highly needed.One methods be hand gesture detection.This study aims detect gestures made ensure whether really work or not,so chance manipulation quite small.For purpose recognition, this utilized Local Binary Pattern Histogram algorithm. LBPH algorithm image matching process between images have been given training taken real time.The was first using a raspberry pi camera then processed examine it matches registered ID not.The results showed recognition detectable accordance with ID.The number includes numbers 1 10. The test that, average time required reading laptop 9.2 seconds, while 14,2 seconds.Motion takes longer than because laptop's performance higher raspberry.