The present subject matter relates to ironing equipment for detecting and pressing
clothes i.e. complex fabrics, and more particularly, to a smart automatic ironing system
for automatically detecting complex fabrics and providing the optimum temperature
settings for that specific fabric.
BACKGROUND AND PRIOR ART:
[001] In general, people coming with ironing clothes, cloth etc. with electric iron, the
special-purpose ironing board that is also combined with having reaches flatiron quickly
and easily, electric iron and ironing board have more and more been subject to the
welcome of Modern Family, and even some drycleaner's and clothes production
enterprise also adopt above-mentioned these simple flatiron methods. This electric iron
and ironing board all need manual operation, and namely a hand is pinned and needed
ironing clothes/fabrics, and hand is taken electric iron flatiron, and both fatigue is also
inconvenient, and flatiron speed is slow, and accidentally electric iron also easily burns
out scald people, clothes/fabrics or causes fire. Different fabrics have their own burning
points and the temperature has to be adjusted accordingly.
[002] Accordingly, the main disadvantages in the present devices, the optimum
temperature for the fabric being ironed to the user, as the temperature settings selected by
the user by using the thermostat are not always correctly adapted to the type of the fabric.
If the fabric is ironed at a temperature which is too high, it can be damaged and if it is
ironed at a very low temperature, therefore the fabric won’t be ironed well.
[003] In the mostly available devices in the market, presets are available for major
fabric types. But, it is neither convenient to inexperienced nor sufficient for all fabric. At
present, the ironing equipment technology such as known electric iron, ironing board do
not have automation of detecting complex fabrics and provide the optimum temperature
settings for that specific fabric.
[004] There are several devices and systems for automating pressing fabric have been
disclosed in the prior arts.
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[005] Chinese patent application 103668924 discloses an intelligent automatic ironing
system comprising an upper ironing plate, a flat electric iron, a lower clothes ironing
plate and an intelligent control module which are integrally molded; the upper ironing
plate and the lower clothes ironing plate are hinged; the flat electric iron is under control
of the intelligent control module; after clothes to be ironed are placed and well paved on
the lower clothes ironing plate, the upper ironing plate is turned to be buckled on the
lower clothes ironing plate, is used for judging the size and position of the clothes to be
ironed, is firstly fast moved to the clothes, irons at a normal speed, displays an alarm
after finishing ironing, and is then fast reset for standby; multiple heating tubes arranged
in the flat electric iron can be all used for heating or used for heating in turn under the
control of the control module to achieve the automatic ironing and temperature control
aims. The intelligent automatic ironing system has the excellent combined effect, and can
be automatically, fast and efficiently used for intelligentized ironing as long as the
clothes are paved on the ironing plate. The intelligent automatic ironing system is smart
in design, reasonable in structure, stable in property, very fast and convenient to use,
laborsaving and timesaving, and widely used for a family, a dry cleaner, a clothes
enterprise and the like.
[006] US Patent 5, 345, 060 relates to an iron includes a heating element, heating
control, for the heating element, and a control thermostat. To determine the type of fabric
on which the iron is placed during ironing, the iron includes a type-of-fabric detector,
which can be an electrostatic detector or an optical detector. A maximum temperature
limit Ts defines the maximum ironing temperature of delicate fabrics. In the case of
incorrect settings the operation of the iron is invalidated. The operation of the detector
can be rendered dependent upon a humidity detector which measures a resistivity of the
fabric. The operation of these detectors may also depend on a detector for the state of use
of the iron.
[007] US Patent 5, 642, 579 relates to a steam iron having an electrically heated
soleplate, a steam generator comprising a water tank, a water pump and a steam chamber
for supplying steam via steam vents in the soleplate. The steam production is made
dependent on the temperature of the fabric a fabric temperature sensor embedded in the
soleplate. A cool fabric triggers the production of steam. The production is stopped as
soon as the fabric temperature reaches the condensing temperature of steam. Since no
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more steam is absorbed in the fabric when the condensing temperature is reached, any
more steam production is waste of water and power. In this way any further steam
production is prevented and waste of water and power is avoided. After steaming has
stopped the fabric temperature sensor can be advantageously used to control the drying
power of the soleplate to avoid scorching of the fabric and to avoid waste of power.
[008] US Patent 5, 349, 160 relates to an iron comprising a heating element and
heating-control means for the heating element. It has a humidity detector which measures
the degree of humidity of the fabric and which influences the electric power dissipated in
the heating element. In order to measure the degree of humidity a circuit measures the
resistivity of the fabric between two contact electrodes and subsequently averages the
electric signal resulting from the movement of the iron on the fabric. A circuit may be
added which measures the rhythm of the variations of said electric signal and which thus
detects whether the iron is in use or not in use.
[009] In the present invention relates to overcome the problem of obstacles, the smart
automatic ironing system for automatically detecting complex fabrics and providing the
optimum temperature settings for that specific fabric.
[0010] The information disclosed in this background of the disclosure section is only for
enhancement of understanding of the general background of the invention and should not
be taken as an acknowledgement or any form of suggestion that this information forms
the prior art already known to a person skilled in the art.
OBJECTS OF THE INVENTION:
[0011] The principal objective of the present invention is to provide smart automatic
ironing system for automatically detecting complex fabrics and providing the optimum
temperature settings for that specific fabric.
[0012] Another object of the present invention is to prevent the excessive use of
electricity.
[0013] Yet another object of the present invention is to prevent burning of clothes/fabrics
due to negligence by the user.
[0014] Yet another object of the present invention is to providing the process of ironing
fast and easy.
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[0015] Still, another object of the present invention is to provide simple and cost
effective ironing system.
[0016] These and other objects and advantages of the present subject matter will be
apparent to a person skilled in the art after consideration of the following detailed
description taken into consideration with accompanying drawings in which preferred
embodiments of the present subject matter are illustrated.
SUMMARY OF THE INVENTION:
[0017] The present invention relates to a smart automatic ironing system for
automatically detecting complex fabrics and providing the optimum temperature settings
for that specific fabric.
[0018] In an embodiment of the present subject matter relates to smart automatic ironing
system comprising an iron plate; an image capturing device placed on above the iron
plate. The image capturing device is provided for capturing the texture of clothes/fabrics.
Further, the ironing system comprises an on-chip placed near the iron plate to set the
temperature as per the required degrees for that texture; and a humidity sensor placed
near the iron plate to monitor the dryness on the fabric.
[0019] In addition, the ironing system includes a LED light display configured to install
on a visible area of the ironing system. Accordingly, the texture to the temperature
mapping is installed through a machine learning using datasets. When the smart
automatic ironing system is not moving, the different temperature is to be set to the smart
automatic ironing system such that the smart automatic ironing system is switched off
beyond the static temperature. Therefore, maintains the humidity to the texture mapping
like, the temperature-texture mapping and online training can be performed.
[0020] The foregoing summary is illustrative only and is not intended to be in any way
limiting. In addition to the illustrative aspects, embodiments, and features described
above, further aspects, embodiments, and features will become apparent by reference to
the drawings and the following detailed description.
BRIEF DESCRIPTION OF THE DRAWINGS
[0021] Fig. 1 illustrates schematic view of smart automatic ironing system, in accordance
with an embodiment of the present invention;
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[0022] Fig. 2 illustrates flow diagram of control process for temperature of the iron coil
in the smart automatic ironing system, in accordance with an embodiment of the present
invention;
[0023] Figs. 3 illustrate flow diagram of method for operating a smart automatic ironing
system, in accordance with an embodiment of the present invention; and
[0024] Fig. 4 illustrates structural view of smart automatic ironing system, in accordance
with an embodiment of the present invention.
[0025] The figure depicts embodiments of the present subject matter for the purposes of
illustration only. A person skilled in the art will easily recognize from the following
description that alternative embodiments of the structures and methods illustrated herein
may be employed without departing from the principles of the disclosure described
herein.
DESCRIPTION OF THE PREFERRED EMBODIMENTS:
[0026] While the embodiments of the disclosure are subject to various modifications and
alternative forms, specific embodiment thereof have been shown by way of example in
the figures and will be described below. It should be understood, however, that it is not
intended to limit the disclosure to the particular forms disclosed, but on the contrary, the
disclosure is to cover all modifications, equivalents, and alternative falling within the
scope of the disclosure.
[0027] The terms “comprises”, “comprising”, or any other variations thereof used in the
disclosure, are intended to cover a non-exclusive inclusion, such that a device, system,
assembly that comprises a list of components does not include only those components but
may include other components not expressly listed or inherent to such system, or
assembly, or device. In other words, one or more elements in a system or device
proceeded by “comprises… a” does not, without more constraints, preclude the existence
of other elements or additional elements in the system or device.
[0028] The present subject matter relates to smart automatic ironing system for
automatically detecting complex fabrics and providing the optimum temperature settings
for that specific fabric.
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[0029] Reference may be made to Figure 1 illustrating schematic view of smart
automatic ironing system, in accordance with an embodiment of the present invention.
The smart automatic ironing system (100) comprises an iron plate; an image capturing
device (101) placed on above the iron plate. The image capturing device (101) is
provided for capturing the texture of clothes/fabrics, wherein the image capturing device
(101) is consisting of an infrared (IR) night vision camera i.e. Raspberry Pi Infrared IR
Night Vision Camera, which includes the features of 5MP with Omni Vision 5647 sensor
in a fixed focus mode.
[0030] Further, the ironing system (100) comprises an on-chip placed near the iron plate
to set the temperature as per the required degrees for that texture; and a humidity sensor
(104) placed near the iron plate to monitor the dryness on the fabric. The humidity sensor
(104) is consisting of DHT22/AM2302 digital temperature & humidity sensor which is a
premium quality of humidity & temperature sensor from Tectonics. Moglix is a wellknown e-commerce platform for a qualitative range of humidity & temperature sensor.
[0031] In addition, the ironing system (100) includes a LED light display configured to
install on a visible area of the ironing system (100) such that the LED light display is
configured to provide the indication to the user or operator if the presented texture is not
available in the datasets. Also, the ironing system (100) includes a manual knob (102) to
control the temperature manually; and a sprayer (103) which is inserted to the ironing
system (100) which is user for safe spray starch for ironing.
[0032] Accordingly, the texture to the temperature mapping is installed through a
machine learning using datasets. When the ironing system (100) is not moving, the
different temperature is to be set to the smart automatic ironing system (100) such that
the smart automatic ironing system (100) is switched off beyond the static temperature.
Therefore, maintains the humidity to the texture mapping like, the temperature-texture
mapping and online training can be performed.
[0033] Reference may be made to Figure 2 illustrating flow diagram of control process
for temperature of the iron coil in the smart automatic ironing system, in accordance with
an embodiment of the present invention. In existing ironing system provides the optimum
temperature for the fabric being ironed to the user, as the temperature settings selected by
the user by using the thermostat are not always correctly adapted to the type of the fabric.
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If the fabric is ironed at a temperature which is too high, it can be damaged and if it is
ironed at a very low temperature, it won’t be ironed well.
[0034] In accordance with an embodiment of the present subject matter relates to
humidity & temperature sensor for detecting the moisture content in the fabric and
adapting the temperature accordingly. If the moisture content is more than the permissive
range for the fabric, temperature is increased else if is decreased.
[0035] Accordingly, Tc is the temperature of the iron coil, TFH is the upper range of the
fabric temperature and TFL is the lower range of fabrics. In the below equation
determined to the optimum temperature is calculated corresponding to the fabric type and
humidity.
TFH > Tc> TFL
[0036] Optimum temperatures for certain fabrics: Linen: 230 C/445 F; Triacetate: 200
C/390 F; Cotton: 204 C/400 F; Viscose/Rayon: 190 C/375 F; Wool: 148 C/300 F;
Polyester: 148 C/300 F; Silk: 148 C/300 F; Acetate: 143 C/290 F; Acrylic: 135 C/275 F;
Lycra/Spandex: 135 C/275 F; Nylon: 135 C/275 F.
[0037] The below table shows the moisture content by weight optimum for different
clothes/fabrics:
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[0038] Reference may be made to Figure 3 illustrating flow diagram of method for
operating a smart automatic ironing system. In accordance with another embodiment of
the present subject matter relates to a method for operating smart automatic ironing
system, comprising the steps of: switching on the smart automatic ironing system;
establishing a wireless connection with a monitor support and a mobile application on a
smart phone in use; initializing an image capturing device which is adapted to place on
an iron plate of the smart automatic ironing system; selecting a plurality of frames from a
continuous feedback of the image capturing device; and sending the selected image to the
smart phone and detecting the texture on the pre-trained neural network off loaded to the
smart phone from the database on fire store and sending back the predicted fabric to the
iron plate.
[0039] Accordingly, the texture to the temperature mapping is installed through a
machine learning using datasets. When the smart automatic ironing system is not moving,
the different temperature is to be set to the smart automatic ironing system such that the
smart automatic ironing system is switched off beyond the static temperature.
[0040] In accordance with another embodiment of the present subject matter relates to
neural network mechanism comprising a base of the neural network consisting of VGG16 convolution neural network proposed by K. The input to the cov1 layer is of fixed size
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224 x 224 RGB image. The image is passed through a stack of convolution (conv.)
layers, where the filters were used with a very small receptive field: 3×3 (which is the
smallest size to capture the notion of left/right, up/down, center). In one of the
configurations, it also utilizes 1×1 convolution filters, which can be seen as a linear
transformation of the input channels (followed by non-linearity). The convolution stride
is fixed to 1 pixel; the spatial padding of conv. Layer input is such that the spatial
resolution is preserved after convolution, i.e. the padding is 1-pixel for 3×3 conv. layers.
Spatial pooling is carried out by five max-pooling layers, which follow some of the conv.
layers (not all the conv. layers are followed by max-pooling). Max-pooling is performed
over a 2×2 pixel window, with stride 2.
[0041] Accordingly, Three Fully-Connected (FC) layers follow a stack of convolution
layers (which has a different depth in different architectures): the first two have 4096
channels each, the third performs 1000-way ILSVRC classification and thus contains
1000 channels (one for each class). The final layer is the soft-max layer. The
configuration of the fully connected layers is the same in all networks.
[0042] Reference may be made to figure 4 illustrating structural view of smart automatic
ironing system, in accordance with an embodiment of the present invention. In this
present invention provides the press has an accuracy of 92.7% in detecting the right cloth
material. If unsure, a suitable warning is shown and the settings can be manipulated
manually initially. Further, when the texture is accurately determined using the
temperature sensor and humidity sensor (104) DH22 the current values obtained from the
input of these sensors can be used to calculate the deviation from the optimum values.
Using the deviation the values of temperature and humidity can be regulated to the
optimum conditions found by studying about the fabrics.
[0043] Accordingly, since all the fabrics have an optimum temperature and moisture
content, we can use these values in relation to avoid burning of the fabric itself, when
temperature rises above a certain point, the moisture content will decrease. This will be
picked up by DH22 as it can note both offsets in Temperature and moisture and we can
rectify that redundancy by increasing the moisture content or suppressing the heat supply.
In the smart automatic ironing system is made up of heat resistant plastic knows as
thermosets plastic material. The extreme heat resistance is one of the defining properties
of high temperature plastic known as thermosets. Long touted for their light-weight and
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chemical-resistant properties, it is the high heat-resistance that makes the performance of
thermosets plastics exceptional in demanding applications and environments.
[0044] In accordance with advantages of the present subject matter as compared with the
existing devices. In the present invention automatically detects the complex fabrics and
provides the optimum temperature settings for that specific fabric. The present invention
saves the electricity as less energy will be wasted. Further, the automatic updates to
detection systems, the detection systems are automatically updated at a decided time
interval, the users can opt in to send their fabric data each time they encounter a new
fabric composition/type not in the database. The present invention provides the automatic
fault detection and reporting via the mobile app. In addition, heats up quickly as soon as a
fabric type is detected, If unsure about the composition of the fabric warnings are
displayed and the user can interact and choose a temperature setting from the mobile app
whether opting the data to share with us. If a new fabric composition is encountered, we
display the temperature settings for the closest match with our database and then we start
with a temperature that is below the one of the closest match. Then the user can increase
the temperature and tweak it to find the optimum temperature. (Data is stored into the
database if the user permits and once the data from multiple users for nearly the same
composition; the optimum temperature is further tweaked). In addition, the present
invention designed with slick, easy-to-glide surfaces that help the person ironing to work
quickly. The shape is broad across the middle, which covers a good deal of fabric with
each swipe, while the pointed end easily reaches small nooks and crannies in the
clothing's contours.
[0045] It will be further appreciated that functions or structures of a plurality of
components or steps may be combined into a single component or step, or the functions
or structures of one-step or component may be split among plural steps or components.
The present invention contemplates all of these combinations. Unless stated otherwise,
dimensions and geometries of the various structures depicted herein are not intended to
be restrictive of the invention, and other dimensions or geometries are possible. In
addition, while a feature of the present invention may have been described in the context
of only one of the illustrated embodiments, such feature may be combined with one or
more other features of other embodiments, for any given application. It will also be
appreciated from the above that the fabrication of the unique structures herein and the
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operation thereof also constitute methods in accordance with the present invention. The
present invention also encompasses intermediate and end products resulting from the
practice of the methods herein. The use of “comprising” or “including” also contemplates
embodiments that “consist essentially of” or “consist of” the recited feature.
[0046] Although embodiments for the present subject matter have been described in
language specific to structural features, it is to be understood that the present subject
matter is not necessarily limited to the specific features described. Rather, the specific
features and methods are disclosed as embodiments for the present subject matter.
Numerous modifications and adaptations of the system/component of the present
invention will be apparent to those skilled in the art, and thus it is intended by the
appended claims to cover all such modifications and adaptations which fall within the
scope of the present subject matter.

I/WE Claims:
1. A smart automatic ironing system (100), comprises of:
an iron plate;
an image capturing device (101) adapted to place on above the iron plate;
said image capturing device is provided for capturing the texture of clothes/fabrics;
an on-chip adapted to place near the iron plate; said on-chip is provided to
set the temperature as per the required degrees for that texture;
a humidity sensor (104) adapted to place near the iron plate to monitor the
dryness on the fabric; and
a LED light display which is configured to install on a visible area of the
smart automatic ironing system (100);
wherein the texture to the temperature mapping is installed through a
machine learning using datasets;
wherein when the smart automatic ironing system (100) is not moving, the
different temperature is to be set to the smart automatic ironing system (100) such
that the smart automatic ironing system (100) is switched off beyond the static
temperature.
2. The smart automatic ironing system (100) as claimed in claim 1, wherein the
humidity sensor (104) is configured to monitor the dryness on the fabric and
minimum humidity will be maintained automatically for maximum efficiency and
safety.
3. The smart automatic ironing system (100) as claimed in claim 1, wherein the image
capturing device (101) is consisting of an infrared (IR) night vision camera.
4. The smart automatic ironing system (100) as claimed in claim 1, wherein the LED
light display is configured to provide the indication to the user or operator if the
presented texture is not available in the datasets.
5. The smart automatic ironing system (100) as claimed in claim 1, wherein the smart
automatic ironing system (100) is made up of heat resistant plastic knows as
thermosets plastics.
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6. The smart automatic ironing system (100) as claimed in claim 1 further comprises a
manual knob (102) to control the temperature manually.
7. A method for operating smart automatic ironing system, comprising the steps of:
switching on the smart automatic ironing system;
establishing a wireless connection with a monitor support and a mobile
application on a smart phone in use;
initializing an image capturing device which is adapted to place on an iron
plate of the smart automatic ironing system;
selecting a plurality of frames from a continuous feedback of the image
capturing device; and
sending the selected image to the smart phone and detecting the texture on
the pre-trained neural network off loaded to the smart phone from the database on
fire store and sending back the predicted fabric to the iron plate;
wherein the texture to the temperature mapping is installed through a
machine learning using datasets;
wherein when the smart automatic ironing system is not moving, the
different temperature is to be set to the smart automatic ironing system such that
the smart automatic ironing system is switched off beyond the static temperature.
8. The method as claimed in claim 6, wherein the base of the neural network
consisting of VGG-16 convolution neural network model.