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Smart Streetlight Energy Saving System Based on mmWave Radar

التفاصيل البيبلوغرافية
العنوان: Smart Streetlight Energy Saving System Based on mmWave Radar
المؤلفون: Yu-Kai Lin, Jhih-Ci Li, Kai-Li Wang, Yu-Ping Liao
المصدر: Advances in Technology Innovation (2024)
بيانات النشر: Taiwan Association of Engineering and Technology Innovation, 2024.
سنة النشر: 2024
المجموعة: LCC:Technology (General)
مصطلحات موضوعية: deep learning, LSTM, mmWave radar, point cloud data, DBSCAN, Technology (General), T1-995
الوصف: Streetlights serve as fundamental infrastructure to meet the lighting needs of people on every road. However, their extensive deployment often results in unnecessary energy waste, with many streetlights maintaining high brightness despite minimal usage during the night. This study aims to develop a smart energy-efficient streetlight system that automatically adjusts lighting levels based on the absence of vehicles and pedestrians, detected after a 3-minute countdown. Specifically, the study utilizes mmWave radar to collect point cloud data, which undergoes denoising through Doppler, DBSCAN, and XYZ techniques. Additionally, the mmWave radar assists in training an LSTM model to identify pedestrian pathways. The implementation of the proposed system significantly reduces energy consumption and annual costs by automatically dimming or turning off streetlights in areas with minimal pedestrian activity during nighttime.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2415-0436
2518-2994
Relation: https://ojs.imeti.org/index.php/AITI/article/view/13175; https://doaj.org/toc/2415-0436; https://doaj.org/toc/2518-2994
DOI: 10.46604/aiti.2024.13175
URL الوصول: https://doaj.org/article/d05ad2601bf44b449c669d0e7eb31c60
رقم الأكسشن: edsdoj.05ad2601bf44b449c669d0e7eb31c60
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24150436
25182994
DOI:10.46604/aiti.2024.13175