Terpstra, Nynke (2024) From Detection to Deception: Enhancing PIR Motion Sensors in Office Environments with MIRA. Bachelor's Thesis, Artificial Intelligence.
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Abstract
Pyroelectric infrared (PIR) motion sensors are effective in reducing energy consumption but often fail to detect static occupancy, leading to user discomfort. This project explores the integration of robotic extensions in office environments with motion-activated lighting systems to address their inefficiencies in detecting static users. The project introduces MIRA (Motion InfraRed Activator), a robotic extension equipped with an infrared (IR) laser specifically developed to deceive PIR occupancy-based sensors upon detecting lighting changes. The research encompassed several phases, including interviews with clients to determine design requirements, testing of light sensors to establish the operational thresholds, and experimental setups to evaluate the effectiveness of the IR laser in triggering a PIR sensor. The findings revealed that MIRA could successfully deceive motion sensors within a limited range but faced challenges at extended distances. This project demonstrates the potential for robotic enhancements to improve the accuracy and user experience of PIR motion sensor-based lighting systems.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Jones, S.M. and Wolf, B.J. |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 06 Aug 2024 14:10 |
| Last Modified: | 27 Aug 2024 08:57 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/33782 |
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