Pi Camera Distance Effect on Face Recognition

Abstract

Face recognition is biometric technology has been awesome and popular in this century. Not only as an identification of a, it can can be used as a medium to secure the privacy data of companies and related agencies, even for someone's personal room. Various types have developed more precisely, either directly using laptops or embedded systems. Raspberry Pi is embedded medium with Picamera is able to detect the presence of a person in a determined area. The algorithm used is haarcascade with a combination of histogram of oriented gradient as database encoding. The database containing the vector of each sample from the respondent will be compared with real time picamera capture. As a result, faces can be recognized as objects and according to the owner's name. The placement of objects varies from 0.5 meters to 3 meters. Light intensity also given effect on detection process. The highest level of compatibility occurs during the day with lux of such a size.