RANCANG BANGUN DAN PENGUJIAN ALAT DETEKSI PENYUSUP MENGGUNAKAN KAMERA, RASPBERRY PI 4 MODEL B, DAN OPENCV 4

Rifai Slamet, NIM.: 16620017 (2020) RANCANG BANGUN DAN PENGUJIAN ALAT DETEKSI PENYUSUP MENGGUNAKAN KAMERA, RASPBERRY PI 4 MODEL B, DAN OPENCV 4. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

This research was motivated by the absence of an intruder detection device capable of processing images using OpenCV 4. This study aimed to design, manufacture and test an intruder detection device using a camera, Raspberry Pi 4 Model B, and OpenCV 4. This research was conducted in 3 stages, namely designing, manufacturing and testing intruder detection device. The design of the device was carried out using the Sketchup 2018 software. The making of this device was carried out in 3 processes, namely making hardware, making dataset, and making software. The testing of the intruder detection device includes monitoring and detection testing. Monitoring testing was done by giving monitoring commands to telegram bot, while detection testing was done by giving detection commands to telegram bot. In detection testing was done by varying the intensity of light, distance and angle of the object to the intruder detection device. The test results show that the accuracy of monitoring the intruder detection device is 100%, while the detection accuracy is 99.722% in the light and 98.055% in the dark.

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