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Security System Integrated on Street Lights using IoT
Subject area: Science,Engineering and Technology · Area of research: Machine Learning and IoT
Abstract
Since the Internet of Things and the desire for smart cities have increased, integrating security systems with smart streetlights has become a common solution. The suggested technology enables real-time surveillance and notifies authorities of questionable behaviour in an effort to increase security in public areas. The IoT protocols used by the smart street lights, which are outfitted with cameras, motion sensors, and other sensors, enable wireless communication with a central server. This enables quick alerts to authorised people in the event of anomalies and effective data processing. Algorithms for advanced analytics and machine learning are used to identify patterns and trends, enabling proactive analysis. A key component of the smart street lamp system is energy efficiency. It accomplishes this using two methods: optimising lighting usage by activating lamps based on a defined minimum brightness threshold and shutting them off during the day; and changing bulb intensity when no human presence is detected after nightfall. The bulbs are powered by solar energy, which results in significant energy savings. The suggested system is made to be affordable, simple to implement, and scalable to accommodate various city sizes and security requirements. It provides a comprehensive solution for boosting public safety and security while fostering environmental friendliness by integrating security systems into intelligent street lights. This ground-breaking approach uses IoT to make cities safer and more secure places to live.
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How to cite this paper
@article{1704543,
author = {Aneeket Kumar, Abhinandan Vashisht, Charvi Verma},
title = {Security System Integrated on Street Lights using IoT},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {6},
number = {11},
pages = {702-707},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1704543.pdf},
abstract = {Since the Internet of Things and the desire for smart cities have increased, integrating security systems with smart streetlights has become a common solution. The suggested technology enables real-time surveillance and notifies authorities of questionable behaviour in an effort to increase security in public areas. The IoT protocols used by the smart street lights, which are outfitted with cameras, motion sensors, and other sensors, enable wireless communication with a central server. This enables quick alerts to authorised people in the event of anomalies and effective data processing. Algorithms for advanced analytics and machine learning are used to identify patterns and trends, enabling proactive analysis. A key component of the smart street lamp system is energy efficiency. It accomplishes this using two methods: optimising lighting usage by activating lamps based on a defined minimum brightness threshold and shutting them off during the day; and changing bulb intensity when no human presence is detected after nightfall. The bulbs are powered by solar energy, which results in significant energy savings. The suggested system is made to be affordable, simple to implement, and scalable to accommodate various city sizes and security requirements. It provides a comprehensive solution for boosting public safety and security while fostering environmental friendliness by integrating security systems into intelligent street lights. This ground-breaking approach uses IoT to make cities safer and more secure places to live.},
month = {May},
}