DEVELOPMENT OF ROBOTIC SECURITY AND INFORMATION SYSTEM USING RASPBERRY PI WITH LIDAR AND TRANSPONDER COMMUNICATION, ESP CAMERA, AND LOCATION RESPONSE CAPABILITY

Abstract

This research capstone project presents a robotic security system that utilizes LIDAR (Light Detection and Ranging) technology, transponder communication, and Raspberry Pi. The system design enables obstacle detection, autonomous navigation with LIDAR-based mapping, and real-time video monitoring through an ESP camera. The LIDAR sensor provides accurate range measurement, while the transponder module facilitates secure data transmission and location tracking with response capability. The Raspberry Pi microcontroller functions as the processing unit that manages data and controls robot movement. This project introduces an innovation in security surveillance designed to provide reliable and efficient functionality for various industrial applications. The system concept is based on the IPOF framework. The study adopts the Experimental Prototyping Development Methodology (EPDM) to test the functional reliability of hardware integration and software compatibility. This methodology ensures systematic development and validation of the prototype. Data were analyzed using purposive sampling, and a 4-point Likert scale was applied to interpret quantitative outcomes, with results evaluated through weighted mean analysis. The developed Robotic Security and Information System integrated computer architectural design based on electrical schematic modeling using the PROTEUS application for hardware testing and portability. The Raspberry Pi Integrated Development Environment (IDE) with Python served as the primary tool to process hardware data signals, enabling a complete closed-loop system automation. The reliability of the design architecture was established through repeated testing and experimentation, resulting in a robust prototype for implementation. The system architecture integrates sensors such as LIDAR, GPS, and ESP camera into the Raspberry Pi platform. The Raspberry Pi software within the IDE processes data signals from the circuit to enable surveillance, navigation, and tracking. The system demonstrated responsiveness to location-based triggers, while the transponder ensured secure data transmission. Communication interfaces, including Cloud and Ethernet, connected the system to support effective navigational functionality.