Autolight: Smart Motion Detection Lighting System (Passive Infrared Sensor)

This study presents the design and development of a Passive Infrared (PIR) motion-activated lighting system intended to reduce energy waste and improve safety in residential and community environments. The project focuses on a sensor-based approach that operates without the use of a microcontroller, demonstrating how a PIR sensor can directly control a lighting circuit through motion detection. The system detects changes in infrared radiation emitted by the human body and automatically activates an LED light when movement is present, while keeping the light off in the absence of motion.
The motivation for this project is rooted in common situations observed in Filipino households and barangay facilities, where lights are frequently left on unintentionally or manually operated lighting is neglected, leading to unnecessary electricity consumption and poorly lit areas. The methodology includes system planning, schematic design, component integration, and prototype testing under controlled indoor conditions. The prototype consists of a PIR sensor, LED light, resistors, power supply, and basic wiring components arranged to achieve reliable motion detection and automatic lighting response.
Results from initial testing indicate that the PIR-based system successfully detects human motion within its effective range and responds by activating the lighting output with minimal delay. The system demonstrates consistent performance for indoor lighting applications and shows potential for improving energy efficiency and safety. Observations also reveal limitations such as sensitivity to environmental temperature changes and restricted detection range.
Overall, the study confirms the feasibility of using PIR sensors for simple motion-activated lighting applications. The project highlights the potential of low-cost, sensor-based automation as a practical solution for households and community areas. Future improvements may include sensitivity adjustment, extended detection coverage, and integration with advanced control systems.

Computer Engineering – Embedded Systems and Sensor-Based Automation

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