INTI International University Campus (INTI-IU) Security Monitoring System With Face Recognition Technology

Abstract

The study is based on the stealing case happened at INTI International University Campus
(INTI-IU) where student lost their personal belongings such as laptop, bag, smartphone, and
wallet in the campus. When the case was reported, the INTI-IU security department has
referred to the closed-circuit television (CCTV) records to trace the suspect but the footage was
too grainy to make out the person’s identity. The tracing process is time-consuming and not
effective, and always ended with unclosed cases. The author is proposing a campus security
monitory system with face recognition technology to identify the unauthorized person who has
entered the campus illegally. Once the stranger is identified, the security department will be
alert immediately for further action. This will tighten the security on campus and provide a
safer place for the staff and students.