SORA NO HIKARI

Abstract

ABSTRACT: Urban Sight represents a groundbreaking shift in urban living, seamlessly blending cutting-edge technology with a human-centric approach to governance. At its core, the project introduces an innovative smart public lighting system, driven by the Internet of Things (loT). This system dynamically adapts street lighting in real-time, optimizing energy consumption and aligning with broader sustainability goals in urban development. Complementing the smart lighting, it integrates advanced aerial inspection through drones equipped with high-resolution cameras and machine learning. With seamless communication using Long Range (LoRa) technology, Urban Sight ensures robust connectivity for real-time data exchange among its components. The fusion of smart lighting, aerial surveillance, and proactive fault detection underscores a dedication to creating urban environments in harmony with the rhythm of human life. The smart street lighting system with drone integration enhances urban safety and efficiency by dynamically adjusting lighting levels and providing aerial surveillance. Safety measures include collision avoidance systems for drones, encrypted communication protocols, and adherence to privacy regulations. Regular maintenance and software updates ensure optimal functionality and mitigate potential risks, contributing to a safer and more sustainable urban environment.

Specification

FIELD OF INVENTION:
· The integration of aerial surveillance and public lighting systems for efficient urban
infrastructure management is disclosed herein. It involves the use of loT technology,
machine learning as well as drones that operate on a newly created energy saving system
which also guarantees public safety while making it possible to monitor different objects
in real time such as roads, bridges etc. The solution provided by this innovation is very
important because through this cities can get smarter since they need intelligent &
sustainable solutions which are in high demand today.
It is designed with an adaptive public lighting system that works depending on the
surrounding conditions & requirements at that particular moment!. With these sensors
connected through loT technology one can adjust lighting so that there is enough light
but too much energy is not consumed hence creating safe environments in towns. As a
result, this reduces municipal lighting costs and promotes other forms of sustainability
as well!.
In addition to this, the invention also introduces drone-based surveillance for
continuous monitoring from above across municipalities. These drones carry out
analysis on traffic flow, state of structures and possible threats using their
high-resolution cameras alongside artificial intelligence. Such information leads to
timely responses thereby increasing safety levels within city environments at large.
By bringing together all these advancements into one package, it improves how well
public services work while also making them safer & more ecologically sound. This is
because it ensures that all sectors operate effectively towards common good with special
focus given towards monitoring any potential hazards that may arise within our
environment even as we seek ways of mitigating against such risks posed to us by nature
or other human activities around us every day hence posing greatest threat among others
towards achievement goal set forth C!lrlier herein before starting this project itself-namely
an innovation aimed at creating better living conditions for people living
currently under modem socio-economic conditions; i.e., smartly developed environment.
BACKGROUND OF INVENTION:
In the present day, it is not easy for the urban areas to manage their infrastructure
especially in relation to public safety, energy consumption, and real-time monitoring. The
traditional lighting wastes much energy since it operates at a constant rate while the
surveillance within the cities is human labor intensive and cannot offer round-the-clock
real-time monitoring!. As many people move into cities they require systems which are
more intelligent & can support their sustainability but above all safe enough and use
resources effectively.
The rise of new technologies such as the Internet of Things (loT), machine learning and
drones mens that solutions may be found for these issues in our cities!. Nevertheless very
a few of the current solutions blend all these technological applications together
coherently. The present invention describes a new system that integrates loT-powered

OBJECTIVES:
1. Enhance Energy Efficiency:
The aim of this project is to create an intelligent public lighting technology that
can adjust its brightness level based on the environmental data at that time & the
needs of users. It is geared at cutting down electricity consumption levels,
reducing operation costs with a view to promoting environmental sustainability
especially in our cities.
2. Improve Public Safety:
This project seeks to unite high-definition camera-equipped drones for
day-to-day city surveillance purposes. The primary objective here is to ensure
quick identification & response of any safety hazards posed within the cities
such as; anomalous threats on one hand with those related to transportation
systems or even buildings' infrastructure at large.
3. Facilitate Real-Time Infrastructure Management:
How can we have a consistent system for urban planners and other officers who
work for municipalities so that they may get live information from their
surveillance cameras and streetlights? The main goal here includes supporting
decision making processes through enough data availability, proper distribution
of resources as well as ensuring timely maintenance hence contributing towards
good urban planning.
4. Promote Sustainable Urban Development:
It intends to ensure that there is reduced ecological footprint through using such
kinds of solutions in the city which are meant for improving quality living while
well organizing public properties.
5. Provide a Scalable Framework:
Develop scalability focused design such that it can be deployed with ease across
various small & large cities having different levels of infrastructural facilities
available!. This will make sure that the system can be customized to suit
different urban areas.
6. Utilize Advanced Data Analytics:
In this innovation we shall make use of complex software programming like
artificial intelligence to study information obtained !Tom both air space &
ground level surveillance cameras for better decision making. By doing this we intend not just on recogmzmg some patterns but also turning them into
something practical which could help us plan our cities more effectively.
7. Enhance Community Engagement:
By offering platforms where people interact with these intelligent systems such
as lighting and surveillance cameras, there will be increased sense of belonging
among society members hence promoting better living conditions. This would
then lead to improvement in data collection through creating trust between
service providers and residents' associations which would see them work
hand-in-hand towards achieving the same goal; meeting everyone's needs
equally without favoritism or discrimination!.
8. Ensure Data Security and Privacy:
Strong encryption techniques and security protocols should be put in place so as
to safeguard any confidential data being monitored through such means. This
objective is about protecting people's privacy & following the law when using
surveillance technology!.
9. Streamline Maintenance Operations:
The integration of an effective proactive fault detection system coupled with
optimal maintenance reporting procedures aimed at reducing downtime without
compromising on safety standards is referred to as what?. This will lead towards
increased trust in service provider & residents association working together
equally ensuring they all meet common end result; serving every individual
without any form favor shown among them!
10. Encourage Development of Smart City Technologies:
The purpose of this project is to foster the development of cutting-edge urban
technologies which can capitalize on connectivity & intelligence for achieving
safety, efficiency as well as sustainability in our cities. It is also in line with
promoting smart city projects at large!.





CLAIMS:
We CLAIM,
Claim 1: A smart infrastructure model for street lighting and aerial surveillance using LoRa
communication and loT-enabled sensors to monitor and maintain urban infrastructure, enhancing
public safety and reducing energy consumption.
Claim 2: A drone-integrated system in the smart lighting network of claim I, wherein the aerial
surveillance drones autonomously monitor streets and detect anomalies such as traffic violations
or potential security threats, providing real-time data to the control centre.
Claim 3: The system of claim 2, where machine learning algorithms are employed to predict
street lighting maintenance requirements and fault detection in bulbs, reducing downtime and
enabling proactive maintenance strategies.
Claim 4: The system of claim I, a fault detection system in streetlights, powered by loT sensors
and LoRa communication, which continuously monitors voltage, temperature, and operational
efficiency, and sends alerts to maintenance teams in case of detected faults.
Claim 5: The system of claim I, wherein an aerial surveillance feature, integrated with Al-based
object detection algorithms, identifies and classifies real-time threats or unusual behaviour in
public areas, improving urban security and emergency response.
Claim 6: The system of claim 2, wherein a centralized dashboard receives and analyzes data
from both drones and loT sensors on streetlights to create visual reports, alerts, and automated
fault repair schedules for urban management teams.
Claim 7: The system of claim l, wherein integrating predictive maintenance for streetlights
based on historical data will result in reduced operational costs, fewer light failures, and an
optimised maintenance workforce allocation.
Claim 8: The system of claim 2, wherein the aerial surveillance drones autonomously dock and
charge on street lights, ensuring uninterrupted operation and coverage of large urban areas.
Claim 9: The system of claim 2, wherein surveillance data is transmitted using LoRa technology
to cover long distances efficiently with low power consumption, making it suitable for wide-area
urban deployments .

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