In several cities, street lighting stands as a significant cost, primarily due to the high power consumption of sodium vapour lights. This results in enormous expenses, which could be better utilised for the country's overall growth. Manual control of street lights, typically during the evening and morning, leads to significant energy loss when switching between ON and OFF states. Implementing an autonomous system presents several advantages, including reduced electricity wastage and substantial cost savings. This research paper introduces a computerised framework for automating park lamps, aimed at conserving energy. The proposed smart park lamp system aims to minimise energy usage through two approaches: turning off lamps during daylight hours and activating them only when brightness levels reach a defined minimum threshold, as well as reducing lamp intensity when no one is present in the park after sundown. Sensors attached to the lamp detect the presence of individuals, resulting in increased intensity, while the lamp dims to a low intensity when the sensors no longer detect anyone. This methodology promises significant energy savings and eliminates a considerable amount of manual labor.
IRE Journals:
Aneeket Kumar , Abhinandan Vashisht , Charvi Verma
"Smart Street Light System Using IoT" Iconic Research And Engineering Journals Volume 6 Issue 11 2023 Page 559-563
IEEE:
Aneeket Kumar , Abhinandan Vashisht , Charvi Verma
"Smart Street Light System Using IoT" Iconic Research And Engineering Journals, 6(11)