Title

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 Engg

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

Print

Accession Number

TU18730

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

123 leaves : illustrations (some colored) ; 28 cm.

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