The Role of Image Processing and Deep Learning in IoT-Based Systems: A Comprehensive Review
Deleted Journal,
Год журнала:
2025,
Номер
3(1), С. 165 - 179
Опубликована: Фев. 19, 2025
The
rates
at
which
IoT
is
expanding
are
tremendous,
literally
touching
our
daily
life
experiences
through
various
applications
such
as
smart
city,
healthcare,
agriculture
and
industrial
automation
among-couple
others.
From
amongst
a
number
of
diverse
types
data
produced
by
devices,
image
has
risen
to
the
forefront
one
most
useful
tools
for
real-time
identification
decision
making.
critical
contribution
processing
deep
learning
in
improving
systems
discussed
this
paper.
Image
acquisition,
preprocessing,
segmentation
feature
extraction
procedures
form
basis
acquiring
significant
information
from
raw
imagery
data.
approaches
CNNs,
RNNs,
transfer
learning,
makes
classification
extraction,
object
detection
more
accurate
fully
automated.
These
technologies
have
been
incorporated
used
traffic
monitoring
application,
medical
diagnosis,
environmental
monitoring,
fault
diagnosis
industries.
Nonetheless,
issues
resource
availability,
temporal
delay
security
act
barriers
adoption
microservices
especially
edges
fogs
computing.
To
overcome
these
constraints,
enhancement
on
lightweight
Learning,
Edge
AI
privacy
protection
methodologies
being
advanced
efficient,
secure
real
time
performance.
Hence,
trends
federated
5G
can
also
define
future
based
systems.
This
paper
systematically
critically
reviews
recent
advances
towards
application
architectures
providing
insight
into
its
profile,
challenges
trends.
It
meant
guide
researchers
industry
experts
who
working
building
smarter
scalable
efficient
Язык: Английский
Evaluation of Different Methods and Models for Grass Cereals’ Production Estimation: Case Study in Wheat
Agronomy,
Год журнала:
2023,
Номер
13(6), С. 1500 - 1500
Опубликована: Май 30, 2023
Adequate
management
of
agricultural
crops
requires,
among
other
things,
accessible
and
sufficiently
accurate
methods
for
assessing
plant
nutrition
crop
vegetation
status
production
estimation.
Sustainable
technologies
are
based
on
correct
decisions,
prompt
interventions
appropriate
works,
information
in
real
time,
the
obtaining
can
be
simple,
accessible,
relation
to
different
user
categories
(e.g.,
farmers,
researchers,
decision
makers).
This
study
used
mineral
fertilization
(NPK),
with
11
experimental
variants,
ensure
a
controlled
differentiated
wheat
plants,
“Alex”
cultivar.
Regression
analysis
was
obtain
models
estimating
production,
by
on:
(a)
NPK
fertilizers
applied
(F)
variants;
(b)
physiological
indices
(PI),
represented
chlorophyll
content
(Chl),
terms
macroelement
leaves,
evaluated
foliar
diagnosis
(Nfd,
Pfd,
Kfd);
(c)
imaging
(IA)
digital
images
calculated
indices.
A
set
obtained,
precision
levels
statistical
safety:
R2
=
0.763,
p
0.013
model
(NPKF);
0.883,
<
0.01
(NPKfd);
0.857,
(Chl);
0.975,
normalized
rgb
color
parameters
(RGB
system);
0.925,
DGCI
index.
The
(F
model)
tested
data,
period
six
years,
communicated
studies.
Fit
degree
between
predicted
yield
F
(six-year
average)
confirmed
0.717,
compared
0.763
this
study.
obtained
study,
related
cultivar,
studies,
but
certain
margin
error,
given
coefficient
values,
specific
equations.
approach
concept,
methods,
presented
opportunities
studies
facilitate
their
comparative
analysis,
adaptation,
and/or
development
form
new
that
useful
research,
or
practices,
integration
into
strategies.
Язык: Английский
Application of Information Technology Law in India on IoT/IoE With Image Processing
Advances in computational intelligence and robotics book series,
Год журнала:
2023,
Номер
unknown, С. 135 - 150
Опубликована: Июнь 30, 2023
In
order
to
address
the
issues
posed
by
emerging
technologies
like
IoT,
IP,
and
AI,
legislation
governing
information
technology
in
India
is
undergoing
a
period
of
fast
development
(AI).
Since
these
are
able
gather,
share,
analyse
massive
quantities
data,
regulations
necessary
safeguard
individuals'
right
privacy
about
such
data.
Companies
organizations
need
have
full
awareness
legal
framework
around
IoT/IoE,
image
processing,
AI
guarantee
that
they
compliance
with
laws
been
enacted.
organisations
may
assist
guaranteeing
employing
legally
responsible
way
using
knowledge
gained
through
understanding
consequences
technologies.
It
has
observed
there
several
applications
IT
law
on
IoT/
IoE.
Present
research
work
considering
role
processing
IoT
environment.
Язык: Английский
A secure and robust color image watermarking method using SVD and GAT in the multiresolution DCHWT domain
The Journal of Engineering and Exact Sciences,
Год журнала:
2023,
Номер
9(10), С. 17317 - 01e
Опубликована: Ноя. 9, 2023
This
paper
introduces
an
innovative
and
robust
watermarking
technique
for
safeguarding
the
copyright
of
color
digital
images.
The
method
operates
within
domain
SVD-based
multiresolution
discrete
cosine
harmonic
wavelet
transforms.
In
this
approach,
pre-processing
phase
employs
successive
generalized
Arnold
transforms
to
encrypt
RGB
watermark
layers,
significantly
enhancing
security
algorithm.
Subsequently,
blue
layer
host
image
undergoes
R-level
2D-DCHWT
processing.
encrypted
is
embedded
by
altering
singular
values
image's
approximation
coefficients.
Additionally,
a
reliable
extraction
algorithm
devised
recover
from
potentially
compromised
watermarked
images
without
requiring
access
original
image.
Through
extensive
experiments
comparisons
with
other
relevant
algorithms,
findings
demonstrate
that
scheme
effectively
embeds
into
not
only
ensures
high
levels
invisibility
but
also
establishes
robustness,
making
it
well-suited
protection
copyrights.
Язык: Английский
A Comprehensive Analysis of Image Segmentation Using Advance Artificial Intelligence
Advances in Science, Technology & Innovation/Advances in science, technology & innovation,
Год журнала:
2024,
Номер
unknown, С. 141 - 148
Опубликована: Янв. 1, 2024
Язык: Английский
A Research on Two-Stage Facial Occlusion Recognition Algorithm based on CNN
Engineering Technology & Applied Science Research,
Год журнала:
2024,
Номер
14(6), С. 18205 - 18212
Опубликована: Дек. 2, 2024
In
recent
years,
pattern
recognition
has
garnered
widespread
attention,
especially
in
the
domain
of
face
recognition.
Traditional
methods
have
certain
limitations
unconstrained
environments
due
to
factors
such
as
lighting,
facial
expressions,
and
poses.
Deep
learning
can
be
used
address
these
challenges.
This
paper
proposes
a
comprehensive
approach
occlusion
based
on
two-stage
Convolutional
Neural
Network
(CNN).
Face
verification
aims
at
verifying
whether
two
images
belong
same
individual,
it
is
more
fundamental
task
compared
The
process
essentially
involves
multiple
instances
verification,
sequentially
validating
different
individuals
ultimately
determine
corresponding
individual
for
each
face.
primary
steps
this
research
include
detection,
image
preprocessing,
landmark
localization,
extraction,
feature
matching
recognition,
2D
image-assisted
3D
reconstruction.
A
novel
CNN
was
designed
detection
alignment.
first
stage
network
dedicated
search
windows
regressing
vector
boundaries.
second
utilizes
assist
reconstruction
perform
secondary
cases
not
identified
stage.
method
demonstrated
excellent
performance
handling
occlusions,
achieving
high
accuracy
datasets
AFW
FDDB.
On
test
dataset,
reached
97.3%,
surpassing
original
89.1%.
outperforms
traditional
algorithms
general
approaches.
study
achieved
efficient
validation
further
unrecognized
situations,
contributing
enhancement
system
performance.
Язык: Английский
IOT-BASED SOLUTION FOR DETECTION DEFECTS IN INFRASTRUCTURE OBJECTS USING RASPBERRY PI
Electronics and Information Technologies,
Год журнала:
2023,
Номер
21
Опубликована: Янв. 1, 2023
Monitoring
the
current
condition
of
roads,
materials
and
communication
networks
can
often
be
difficult
in
accessibility
damaged
place
to
visually
assess
criticality
condition.
The
state
such
infrastructure
facilities
makes
it
possible
data
collected
from
sensors,
intermediate
analysis
is
automated
microcomputers
or
microprocessors.
For
a
visual
assessment
condition,
video
with
overlay
filters
was
used
highlight
areas
damage.
first
type
object
defect
corrosion,
which
detected
by
applying
color
filter,
second
cracks
key
points
filled
an
edge
filter.
transfer
number
pixels
filtered
frame
Raspberry
Pi
performed
using
MQTT
protocols
Internet
Things
system.
AWS
IoT
rule
constantly
reads
logged
messages
subscription
push
necessary
into
Elasticsearch
database
for
further
analysis.
Keywords
:
Thing,
cloud
technologies,
defects,
Pi,
crack.
Язык: Английский
BPG-based compression of Poisson noisy images
Опубликована: Окт. 13, 2023
The
article
is
devoted
to
the
lossy
compression
of
noisy
images,
considering
currently
popular
trend
green
computing.
In
this
paper,
we
show
how
can
be
incorporated
into
solving
an
essential
task
image
data
transferring
via
communication
lines
and
what
benefits
it
bring
area
interest.
We
consider
case
images
corrupted
with
signal-dependent
Poisson-distributed
noise,
which
quite
common
in
real-life
situations.
Compression
has
several
peculiarities,
among
there
existence
optimal
operation
point
(OOP),
a
value
control
parameter
(CCP)
where
compressed
closer
noise-free
than
original
one.
possible
presence
OOP
for
various
visual
quality
metrics,
both
SSIM-based
PSNR-based.
recommendations
its
neighborhood
are
presented.
Язык: Английский