Night vision motion detection for a real-time security system
Date of Publication
2014
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Alexander C. Abad
Defense Panel Chair
Lawrence Yasay Materum
Defense Panel Member
Enrique M. Manzano
Melvin K. Cabatuan
Abstract/Summary
In order to further maintain peace and provide security to the people now a day, Closed-circuit television CCTV surveillance system is being utilized. This study focused on the design and implementation of a low cost smart security camera with night vision capability using Raspberry Pi (RPI) and OpenCV. The system has human detection and smoke detection capability that can provide precaution to potential crimes and potential fire. The credit card size Raspberry Pi (RPI) with Opencv handles the image processing, controls algorithms for the alarms and sends captured picture to user’s email via Wi-Fi. As part of its alarm system, it will the recorded sounds: 2intruder3 or 2smoke detected3 when there is a detection. The system uses ordinary webcam but its IR filter was removed in order to have night capability.
Abstract Format
html
Language
English
Format
Accession Number
TU18730
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
123 leaves : illustrations (some colored) ; 28 cm.
Recommended Citation
Abaya, W., Basa, J., & Sy, M. (2014). Night vision motion detection for a real-time security system. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/12192
