Personal Verification in Community using Facial Recognition Biometric Technology on the Raspberry Pi Platform

Abstract

To develop a digital innovation to prevent strangers entering the community. The objective of this research is to assess the effectiveness of personal identification devices in the community with biometric technology for face detection and recognition.; and to assess the adoption of
an equipment to use in different communities. We applied biometric technology  for developing the face recognition system on the Raspberry Pi platform; we implemented the system in various types of communities such as a local community, dormitory/condominium community, and village community. This research used the accuracy as the main factor for system efficiency evaluation. The system was tested by using 100 persons as a sampling test. The system efficiency evaluation result found that the accuracy rate is 0.98. After the system implementation in 3 types of community, we  applied UTAUT model  to evaluate the system satisfaction in  term of the system acceptance by using a sample of 50 persons for each community. The result found that the average mean of the system satisfaction  in the good level with mean 4.00.  As the results of the experiment, we can conclude that applying the biometric technology  for preventing strangers entering into the community  has  a good results in both of performance and acceptance rate. We also concluded that the dormitory/condominium community require the system immediately,  followed by a local community and village community, respectively.