2019
DOI: 10.35508/jme.v0i0.1786
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Rancang Bangun Sistem Pengenalan Wajah Daftar Pencarian Orang (Dpo) Berbasis Jaringan Saraf Tiruan

Abstract: This study aims to design a system that is able to recognize the face of a people search list (DPO). The application is built using opencv and dlib ddan system testing is done with a dataset consisting of 6 target people. The target was identified when it was exactly perpendicular to the camera but the detection failed when the target's face was not exactly perpendicular. This study also models the transmission of target data detected using long range radio (LORA) at a frequency of 915

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“…Therefore, based on the problems above, researchers took the initiative to create a Prototype of a DPO Search Information System (People Search List) on CCTV Cameras Using Face Recognition. This tool will of course reduce resources from searching for people who are on the People Wanted List (DPO), because apart from recording events that occurred at that time, this tool also carries out the process of matching DPO data with data that has just been recorded using Face Recognition and sends a notification to the application installed on Android if there is data that matches the People Search List in the database (Lami et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, based on the problems above, researchers took the initiative to create a Prototype of a DPO Search Information System (People Search List) on CCTV Cameras Using Face Recognition. This tool will of course reduce resources from searching for people who are on the People Wanted List (DPO), because apart from recording events that occurred at that time, this tool also carries out the process of matching DPO data with data that has just been recorded using Face Recognition and sends a notification to the application installed on Android if there is data that matches the People Search List in the database (Lami et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…On the software side, developing artificial intelligence-based programming libraries, such as Open CV (Kaehler & Bradski, 2016) and Tensorflow (Dillon et al, 2017), led to the developing of pattern recognition-based automation systems. Biometric recognition-based applications (Lami et al, 2019), such as attendance and people search Employee Presence System Using Nodemcu for Fingerprint and Face ID Internet of Things (IoT) and object recognition-based applications, can be easily implemented on small processors and memory devices.…”
Section: Introductionmentioning
confidence: 99%