Description:TECHNICAL FIELD
[0001] The present invention relates to a pollution monitoring system,
particularly a pollution monitoring camera equipped with sensors and integrated
with Artificial Intelligence (AI) and Machine Learning (ML) technology. The
5 system aims to revolutionize pollution control in metro cities by monitoring
vehicles and detecting those exceeding the air quality index (AQI) limits.
BACKGROUND ART
[0002] Background description includes information that may be useful in
understanding the present invention. It is not an admission that any of the
10 information provided herein is prior art or relevant to the presently claimed
invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Air pollution caused by vehicular emissions has become a significant
environmental and public health concern in metro cities worldwide. The rapid
urbanization and increasing number of vehicles on the roads have led to a
15 substantial rise in harmful pollutants, such as nitrogen oxides (NOx), particulate
matter (PM), volatile organic compounds (VOCs), and carbon monoxide (CO).
These pollutants not only degrade air quality but also contribute to various
respiratory and cardiovascular diseases in the population.
[0004] To combat this growing problem, governments and environmental
20 organizations have implemented various measures, including emission standards,
vehicle inspection programs, and pollution control regulations. However,
monitoring and enforcing these regulations on a large scale have proven to be
challenging tasks. Traditional monitoring methods involve manual inspections,
which are time-consuming, costly, and may not cover all areas adequately.
25 [0005] As technology continues to advance, there has been an increasing
emphasis on developing innovative solutions to address environmental challenges.
In response to the pressing need for effective pollution control measures, a Pollution
Monitoring System has been proposed. This system combines cutting-edge
technology, including cameras with integrated sensors and AI-powered algorithms,3
to create a revolutionary approach to monitoring vehicular emissions and enforcing
pollution control laws.
[0006] The pollution monitoring system's primary objective is to detect and
identify vehicles that exceed the prescribed Air Quality Index (AQI) limits for
5 emissions. AQI is a standardized system that measures the concentration of major
air pollutants and assigns a numerical value to indicate air quality levels. When
vehicles emit pollutants above the AQI limits, they contribute significantly to air
pollution and pose a risk to public health.
[0007] The pollution monitoring system's innovative approach lies in its use of
10 advanced cameras equipped with specialized sensors. These cameras are
strategically installed in key locations within metro cities, such as busy
intersections, toll plazas, and highways, to capture real-time data on vehicle
emissions. The sensors are capable of detecting various pollutants, including NOx,
CO, PM, and VOCs, providing a comprehensive view of the pollution levels.
15 [0008] The collected data is then processed and analyzed using Artificial
Intelligence (AI) and Machine Learning (ML) algorithms. AI enables the system to
identify patterns and trends in the emission data, while ML algorithms allow the
system to learn from the collected data and improve its accuracy over time. By
utilizing AI and ML, the system can quickly and accurately identify vehicles that
20 exceed the AQI limits, making it an efficient and automated solution for pollution
monitoring.
[0009] Moreover, the pollution monitoring system integrates with the Ministry
of Road Transport and Highways (Morth) database to access essential information
about vehicles. This database contains details about the vehicle's maintenance
25 history, emission control certificates, and age. By connecting to this database, the
system gains valuable insights into each vehicle's compliance with pollution control
regulations, helping authorities identify repeat offenders and enforce stricter
penalties for non-compliance.4
[0010] The system's unique combination of advanced technology, database
integration, and AI-powered automation sets it apart from existing pollution
monitoring solutions. Traditional manual methods lack the speed, efficiency, and
coverage provided by the Pollution Monitoring System. Furthermore, the system's
5 ability to adapt and scale to different urban environments, from small cities to
sprawling metropolises, makes it a versatile and effective tool for pollution control
worldwide.
[0011] All publications herein are incorporated by reference to the same extent
as if each individual publication or patent application were specifically and
10 individually indicated to be incorporated by reference. Where a definition or use of
a term in an incorporated reference is inconsistent or contrary to the definition of
that term provided herein, the definition of that term provided herein applies and
the definition of that term in the reference does not apply.
OBJECTS OF THE INVENTION
15 [0012] The principal object of the present invention is to overcome the
disadvantages of the prior art.
[0013] Another object of the present invention is to provide a pollution
monitoring system.
[0014] Another object of the present invention is to detect and identify vehicles
20 that exceed the prescribed air quality index (AQI) limits for emissions.
[0015] Another object of the present invention is to measures the concentration
of major air pollutants and assigns a numerical value to indicate air quality levels.
[0016] Another object of the present invention is to provide an elegant, reliable
and precise approach towards the pollution monitoring system.
25 [0017] Yet another object of the present invention is to provide a process of
improving functionalities of the pollution monitoring system.5
SUMMARY
[0018] The present invention relates to a pollution monitoring system,
particularly a pollution monitoring camera equipped with sensors and integrated
with Artificial Intelligence (AI) and Machine Learning (ML) technology. The
5 system aims to revolutionize pollution control in metro cities by monitoring
vehicles and detecting those exceeding the air quality index (AQI) limits.
[0019] The pollution monitoring system includes a camera with integrated
sensors capable of detecting and measuring air pollutants emitted by vehicles, an
artificial intelligence (AI) module for processing and analyzing real-time data from
10 the camera and sensors, a machine learning (ML) module for continuously learning
from collected data and improving the accuracy of pollutant detection, and a
database integration module connected to the Ministry of Road Transport and
Highways (Morth) database to access vehicle information, including maintenance
history, emission control certificates, and age.
15 [0020] According to an aspect, the camera with integrated sensors is
strategically installed at key locations within metro cities, including busy
intersections, toll plazas, and highways, to capture emissions data from a wide range
of vehicles. The sensors are capable of detecting pollutants, including but not
limited to nitrogen oxides (NOx), carbon monoxide (CO), particulate matter (PM),
20 and volatile organic compounds (VOCs). The AI module utilizes machine vision
algorithms to identify and differentiate vehicles emitting pollutants above the
prescribed Air Quality Index (AQI) limits.
[0021] According to an aspect, the ML module continuously learns from realtime data and historical records to improve the accuracy and efficiency of pollutant
25 detection and vehicle identification. The database integration module accesses
vehicle information from the Morth database, enabling authorities to monitor
compliance with pollution control regulations and identify repeat offenders. The
pollution monitoring system further comprising a communication module to relay
real-time emissions data and alerts to relevant authorities and stakeholders.6
[0022] According to an aspect, the system generates comprehensive reports
and insights on pollution levels and vehicle emissions to aid in decision-making and
policy formulation. The system is scalable and adaptable, capable of deployment in
various urban environments, including small cities and large metropolitan areas.
5 The system is powered by renewable energy sources to promote environmental
sustainability and reduce its own carbon footprint.
[0023] These and other features will become apparent from the following
detailed description of illustrative embodiments thereof, which is to be read in
connection with the accompanying drawings. While the invention has been
10 described and shown with reference to the preferred embodiment, it will be apparent
that variations might be possible that would fall within the scope of the present
invention.
BRIEF DESCRIPTION OF DRAWINGS
[0024] So that the manner in which the above-recited features of the present
15 invention can be understood in detail, a more particular description of the invention,
briefly summarized above, may have been referred by embodiments, some of which
are illustrated in the appended drawings. It is to be noted, however, that the
appended drawings illustrate only typical embodiments of this invention and are
therefore not to be considered limiting of its scope, for the invention may admit to
20 other equally effective embodiments.
[0025] These and other features, benefits, and advantages of the present
invention will become apparent by reference to the following text figure, with like
reference numbers referring to like structures across the views, wherein: Figures
attached: N.A.
25 DETAILED DESCRIPTION OF THE INVENTION
[0026] While the present invention is described herein by way of example
using embodiments and illustrative drawings, those skilled in the art will recognize
that the invention is not limited to the embodiments of drawing or drawings
described and are not intended to represent the scale of the various components.7
Further, some components that may form a part of the invention may not be
illustrated in certain figures, for ease of illustration, and such omissions do not limit
the embodiments outlined in any way. It should be understood that the drawings
and the detailed description thereto are not intended to limit the invention to the
5 particular form disclosed, but on the contrary, the invention is to cover all
modifications, equivalents, and alternatives falling within the scope of the present
invention as defined by the appended claim.
[0027] As used throughout this description, the word "may" is used in a
permissive sense (i.e. meaning having the potential to), rather than the mandatory
10 sense, (i.e. meaning must). Further, the words "a" or "an" mean "at least one” and
the word “plurality” means “one or more” unless otherwise mentioned.
Furthermore, the terminology and phraseology used herein are solely used for
descriptive purposes and should not be construed as limiting in scope. Language
such as "including," "comprising," "having," "containing," or "involving," and
15 variations thereof, is intended to be broad and encompass the subject matter listed
thereafter, equivalents, and additional subject matter not recited, and is not intended
to exclude other additives, components, integers, or steps. Likewise, the term
"comprising" is considered synonymous with the terms "including" or "containing"
for applicable legal purposes. Any discussion of documents acts, materials, devices,
20 articles, and the like are included in the specification solely for the purpose of
providing a context for the present invention. It is not suggested or represented that
any or all these matters form part of the prior art base or were common general
knowledge in the field relevant to the present invention.
[0028] In this disclosure, whenever a composition or an element or a group of
25 elements is preceded with the transitional phrase “comprising”, it is understood that
we also contemplate the same composition, element, or group of elements with
transitional phrases “consisting of”, “consisting”, “selected from the group of
consisting of, “including”, or “is” preceding the recitation of the composition,
element or group of elements and vice versa.8
[0029] The present invention is described hereinafter by various embodiments
with reference to the accompanying drawing, wherein reference numerals used in
the accompanying drawing correspond to the like elements throughout the
description. This invention may, however, be embodied in many different forms
5 and should not be construed as limited to the embodiment set forth herein. Rather,
the embodiment is provided so that this disclosure will be thorough and complete
and will fully convey the scope of the invention to those skilled in the art. In the
following detailed description, numeric values and ranges are provided for various
aspects of the implementations described. These values and ranges are to be treated
10 as examples only and are not intended to limit the scope of the claims. In addition,
several materials are identified as suitable for various facets of the implementations.
[0030] The present invention relates to a pollution monitoring system,
particularly a pollution monitoring camera equipped with sensors and integrated
with Artificial Intelligence (AI) and Machine Learning (ML) technology. The
15 system aims to revolutionize pollution control in metro cities by monitoring
vehicles and detecting those exceeding the air quality index (AQI) limits.
[0031] The pollution monitoring system includes a camera with integrated
sensors capable of detecting and measuring air pollutants emitted by vehicles, an
artificial intelligence (AI) module for processing and analyzing real-time data from
20 the camera and sensors, a machine learning (ML) module for continuously learning
from collected data and improving the accuracy of pollutant detection, and a
database integration module connected to the Ministry of Road Transport and
Highways (Morth) database to access vehicle information, including maintenance
history, emission control certificates, and age.
25 [0032] According to an aspect, the camera with integrated sensors is
strategically installed at key locations within metro cities, including busy
intersections, toll plazas, and highways, to capture emissions data from a wide range
of vehicles. The sensors are capable of detecting pollutants, including but not
limited to nitrogen oxides (NOx), carbon monoxide (CO), particulate matter (PM),9
and volatile organic compounds (VOCs). The AI module utilizes machine vision
algorithms to identify and differentiate vehicles emitting pollutants above the
prescribed Air Quality Index (AQI) limits.
[0033] According to an aspect, the ML module continuously learns from real-
5 time data and historical records to improve the accuracy and efficiency of pollutant
detection and vehicle identification. The database integration module accesses
vehicle information from the Morth database, enabling authorities to monitor
compliance with pollution control regulations and identify repeat offenders. The
pollution monitoring system further comprising a communication module to relay
10 real-time emissions data and alerts to relevant authorities and stakeholders.
[0034] According to an aspect, the system generates comprehensive reports
and insights on pollution levels and vehicle emissions to aid in decision-making and
policy formulation. The system is scalable and adaptable, capable of deployment in
various urban environments, including small cities and large metropolitan areas.
15 The system is powered by renewable energy sources to promote environmental
sustainability and reduce its own carbon footprint.
[0035] The invention is a revolutionary pollution monitoring system designed
to address the increasing concern of air pollution caused by vehicular emissions in
metro cities. The system incorporates a unique combination of advanced
20 technology, including a Pollution Monitoring Camera with integrated sensors,
Artificial Intelligence (AI), and Machine Learning (ML) capabilities, as well as
seamless integration with the Ministry of Road Transport and Highways (Morth)
database.
[0036] At its core, the pollution monitoring camera is equipped with
25 sophisticated sensors capable of detecting and measuring various air pollutants
emitted by vehicles. These pollutants may include nitrogen oxides (NOx), carbon
monoxide (CO), particulate matter (PM), volatile organic compounds (VOCs), and
other harmful substances contributing to air pollution. The camera is strategically
installed at key locations within metro cities, such as busy intersections, toll plazas,10
and highways, to capture emissions data from a wide range of vehicles.
[0037] The unique aspect of this invention lies in its AI and ML modules,
which play a crucial role in analyzing the real-time data collected by the camera
and sensors. The AI module utilizes machine vision algorithms to identify and
5 differentiate vehicles emitting pollutants above the prescribed Air Quality Index
(AQI) limits. This enables authorities to precisely pinpoint the vehicles responsible
for contributing to elevated pollution levels. The ML module continuously learns
from the collected data and historical records, allowing the system to improve its
accuracy and efficiency in detecting pollutants and identifying vehicles over time.
10 [0038] In addition to its cutting-edge technology, the Pollution Monitoring
System integrates with the Morth database. This database provides essential
information about each vehicle, including its maintenance history, emission control
certificates, and age. By accessing this information, the system can effectively
monitor compliance with pollution control regulations and identify repeat
15 offenders. It provides a comprehensive solution that allows authorities to take
appropriate actions against vehicles that consistently exceed pollution limits,
encouraging vehicle owners to maintain their vehicles in compliance with
environmental standards.
[0039] The system also includes a communication module that relays real-time
20 emissions data and alerts to relevant authorities and stakeholders. This ensures that
prompt action can be taken in response to instances of high pollution levels.
Additionally, the system generates comprehensive reports and insights on pollution
levels and vehicle emissions. These reports aid in decision-making and policy
formulation to tackle pollution more effectively at a broader level.
25 [0040] The pollution monitoring system is designed to be scalable and
adaptable, making it suitable for deployment in various urban environments,
ranging from small cities to large metropolitan areas. Its flexibility allows it to be
customized to meet the unique needs and challenges of each healthcare
organization, ensuring the most efficient and effective pollution monitoring and11
control.
[0041] Furthermore, the system embraces environmental sustainability by
incorporating renewable energy sources to power its operations. This eco-friendly
approach not only helps reduce pollution but also exemplifies the system's
5 commitment to promoting environmental consciousness and reducing its carbon
footprint.
[0042] While the foregoing describes various embodiments of the invention,
other and further embodiments of the invention may be devised without departing
from the basic scope thereof. The scope of the invention is determined by the claims
10 that follow. The invention is not limited to the described embodiments, versions or
examples, which are included to enable a person having ordinary skill in the art to
make and use the invention when combined with information and knowledge
available to the person having ordinary skill in the art.
[0043] Thus, the scope of the present disclosure is defined by the appended
15 claims and includes both combinations and sub-combinations of the various
features described hereinabove as well as variations and modifications thereof,
which would occur to persons skilled in the art upon reading the foregoing
description. , Claims:/We Claim:
1. A pollution monitoring system comprising:
a camera with integrated sensors capable of detecting and measuring air
5 pollutants emitted by vehicles;
an Artificial Intelligence (AI) module for processing and analyzing real-time
data from the camera and sensors;
a Machine Learning (ML) module for continuously learning from collected data
and improving the accuracy of pollutant detection; and
10 a database integration module connected to the Ministry of Road Transport and
Highways (Morth) database to access vehicle information, including
maintenance history, emission control certificates, and age.
2. The pollution monitoring system of claim 1, wherein the camera with integrated
sensors is strategically installed at key locations within metro cities, including
15 busy intersections, toll plazas, and highways, to capture emissions data from a
wide range of vehicles.
3. The pollution monitoring system of claim 1 or claim 2, wherein the sensors are
capable of detecting pollutants, including but not limited to nitrogen oxides
(NOx), carbon monoxide (CO), particulate matter (PM), and volatile organic
20 compounds (VOCs).
4. The pollution monitoring system of claims 1, wherein the AI module utilizes
machine vision algorithms to identify and differentiate vehicles emitting
pollutants above the prescribed Air Quality Index (AQI) limits.
5. The pollution monitoring system of claims 1, wherein the ML module
25 continuously learns from real-time data and historical records to improve the
accuracy and efficiency of pollutant detection and vehicle identification.
6. The pollution monitoring system of claims 1, wherein the database integration
module accesses vehicle information from the Morth database, enabling13
authorities to monitor compliance with pollution control regulations and
identify repeat offenders.
7. The pollution monitoring system of claims 1, further comprising a
communication module to relay real-time emissions data and alerts to relevant
5 authorities and stakeholders.
8. The pollution monitoring system of claims 1, wherein the system generates
comprehensive reports and insights on pollution levels and vehicle emissions to
aid in decision-making and policy formulation.
9. The pollution monitoring system of claims 1, wherein the system is scalable and
10 adaptable, capable of deployment in various urban environments, including
small cities and large metropolitan areas.
10. The pollution monitoring system of claims 1, wherein the system is powered by
renewable energy sources to promote environmental sustainability and reduce
its own carbon footprint.