PiBase: An IoT-based Security System using Raspberry Pi and Google Firebase
Venkat Margapuri, Niketa Penumajji, Mitchell Neilsen

TL;DR
PiBase is an IoT security system utilizing Raspberry Pi, sensors, and machine learning for intruder detection and alerting in smart environments, emphasizing low cost and high effectiveness.
Contribution
The paper introduces PiBase, a novel IoT-based security system integrating face recognition and motion detection with cloud messaging for smart environment security.
Findings
Face detection recall of 94.6%
System effectively detects intruders in real-time
Low-cost implementation using Raspberry Pi and open-source tools
Abstract
Smart environments are environments where digital devices are connected to each other over the Internet and operate in sync. Security is of paramount importance in such environments. This paper addresses aspects of authorized access and intruder detection for smart environments. Proposed is PiBase, an Internet of Things (IoT)-based app that aids in detecting intruders and providing security. The hardware for the application consists of a Raspberry Pi, a PIR motion sensor to detect motion from infrared radiation in the environment, an Android mobile phone and a camera. The software for the application is written in Java, Python and NodeJS. The PIR sensor and Pi camera module connected to the Raspberry Pi aid in detecting human intrusion. Machine learning algorithms, namely Haar-feature based cascade classifiers and Linear Binary Pattern Histograms (LBPH), are used for face detection and…
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Taxonomy
TopicsIoT-based Smart Home Systems · Video Surveillance and Tracking Methods · Currency Recognition and Detection
Methodstravel james
