Apparatus for manufacturing display device and method of manufacturing display device

Abstract

There is provided an apparatus for manufacturing a display device and a method of manufacturing a display device, the apparatus including: a liquid droplet ejecting unit for ejecting liquid droplets; a detection unit disposed on a drop path of the droplet and configured to detect low-resolution data of the droplet to obtain detected low-resolution data; and a control unit configured to determine a volume of each of the droplets based on detecting the low resolution data. The control unit includes: a machine learning unit configured to perform machine learning to determine a correlation between sampled low-resolution data and sampled high-resolution data of the droplet; and a volume extraction unit configured to determine a volume of the falling droplet by amplifying the detected low-resolution data into amplified high-resolution data based on a result of learning by the machine learning unit. The sampled high-resolution data has a magnification greater than the magnification of the sampled low-resolution data.

Description

[0001] This application claims priority to and the benefit of Korean Patent Application No. 10-2023-0098360 filed in the Korean Intellectual Property Office on July 27, 2023, the disclosure of which is incorporated herein by reference in its entirety. Technical Field

[0002] Aspects of embodiments of the present disclosure relate to an apparatus for manufacturing a display device and a method of manufacturing a display device. Background Art

[0003] Electronic devices based on mobility have been widely used. Recently, in addition to small electronic devices such as mobile phones, tablet personal computers (PCs) have been widely used as mobile electronic devices.

[0004] In order to provide and support various functions, these mobile electronic devices include display devices that provide visual information such as images or videos to users. Recently, as the size of components for driving display devices has been reduced, the area of ​​display devices in electronic devices has gradually increased, and structures that can be bent at a certain angle from a flat state have been developed. Summary of the invention

[0005] Embodiments of the present disclosure include an apparatus for manufacturing a display device, in which a detection unit is configured to simultaneously (or synchronously) detect a plurality of falling droplets, and in which machine learning is used to improve the resolution of the droplets detected by the detection unit by amplification.

[0006] However, these aspects and features are illustrative, and the aspects and features of the present disclosure and the problems to be solved thereby are not limited thereto.

[0007] Additional aspects and features will be set forth in part in the description which follows and, in part, will be apparent from the description, or may be learned by practice of the described embodiments of the disclosure.

[0008] According to an embodiment of the present disclosure, an apparatus for manufacturing a display device includes: a plurality of droplet ejection units, each of which includes a nozzle for ejecting droplets; a detection unit arranged on a falling path of a plurality of droplets falling from the plurality of droplet ejection units and configured to detect low-resolution data including shapes of the plurality of droplets to obtain detection low-resolution data; and a control unit configured to determine the volume of each of the plurality of droplets based on the detection low-resolution data. The control unit includes: a machine learning unit configured to perform machine learning to determine a correlation between sampled low-resolution data and sampled high-resolution data, the sampled low-resolution data including shapes of a plurality of sampled low-resolution droplets, the sampled high-resolution data including shapes of sampled high-resolution droplets corresponding to each of the plurality of sampled low-resolution droplets input to the machine learning unit; and a volume extraction unit configured to determine the volume of each of the plurality of droplets by amplifying the detection low-resolution data into amplified high-resolution data based on a result of learning performed by the machine learning unit. The sampled high-resolution data may have a magnification greater than that of the sampled low-resolution data.

[0009] The machine learning unit may include: a sampling data input unit, into which the sampled low-resolution data and the sampled high-resolution data are input; and a model type generator, which is constructed to generate an up-scaled model by analyzing the correlation between the sampled low-resolution data and the sampled high-resolution data.

[0010] The volume extraction unit may include: an enlargement unit, configured to enlarge the detected low-resolution data into enlarged high-resolution data by substituting the detected low-resolution data into an enlarged model; and a volume calculation unit, configured to calculate the volume of each of the multiple droplets by extracting a three-dimensional image of the multiple droplets based on the enlarged high-resolution data.

[0011] The number of the plurality of droplet ejecting units may be greater than the number of the detecting units.

[0012] The detection unit may include a first detection unit and a second detection unit facing the first detection unit, with the plurality of droplets being between the second detection unit and the first detection unit.

[0013] The first detection unit and the second detection unit may each be configured to detect a shape of a portion of an outer surface of the droplet projected onto an arbitrary plane.

[0014] The control unit may be configured to calculate the outer surface of the liquid droplet by connecting a portion other than a shape of a portion of the outer surface of the liquid droplet detected by the first detection unit and the second detection unit.

[0015] The volume extraction unit may be configured to calculate a three-dimensional shape of the droplet by rotating the calculated outer surface of the droplet around a falling path of the droplet, and may calculate the volume of the droplet by using the calculated three-dimensional shape of the droplet.

[0016] The detection unit may comprise a confocal microscope or a confocal sensor.

[0017] The apparatus may further include a receiving unit configured to store the plurality of droplets emitted by the plurality of droplet ejecting units.

[0018] According to another embodiment of the present disclosure, a method for manufacturing a display device includes: inputting sampling low-resolution data and sampling high-resolution data into a machine learning unit to perform machine learning to determine the correlation between the sampling low-resolution data and the sampling high-resolution data, the sampling low-resolution data including the shapes of a plurality of sampling low-resolution droplets, the sampling high-resolution data including the shapes of sampling high-resolution droplets corresponding to each of the plurality of sampling low-resolution droplets; ejecting droplets by using each of a plurality of droplet ejection units, each droplet ejection unit including a nozzle; detecting the low-resolution data by a detection unit to obtain detection low-resolution data, the low-resolution data including the shapes of a plurality of droplets falling from the plurality of droplet ejection units; and determining the volume of each of the plurality of droplets by enlarging the detection low-resolution data into enlarged high-resolution data based on a result learned by machine learning via a volume extraction unit. The sampling high-resolution data may have a magnification greater than that of the sampling low-resolution data.

[0019] The step of machine learning may include: inputting sampling data, the sampling data including sampling low-resolution data and sampling high-resolution data; and generating an upscaling model by analyzing the correlation between the sampling low-resolution data and the sampling high-resolution data.

[0020] The volume extraction step may include: an enlargement step, in which the detected low-resolution data is enlarged into enlarged high-resolution data by substituting the detected low-resolution data into an enlarged model; and a volume calculation step, in which the volume of each of the multiple droplets is calculated based on the enlarged high-resolution data by extracting a three-dimensional image of the multiple droplets.

[0021] The number of the plurality of droplet ejecting units may be greater than the number of the detecting units.

[0022] The detection unit may include a first detection unit and a second detection unit facing the first detection unit, with the plurality of droplets being between the second detection unit and the first detection unit.

[0023] The first detection unit and the second detection unit may each be configured to detect a shape of a portion of an outer surface of the droplet projected on an arbitrary plane.

[0024] The step of volume extraction may include calculating the outer surface of the liquid droplet by connecting a portion excluding a shape of a portion of the outer surface of the liquid droplet detected by the first detection unit and the second detection unit.

[0025] The step of volume extraction may include calculating a three-dimensional shape of the droplet by rotating the calculated outer surface of the droplet around a falling path of the droplet, and calculating the volume of the droplet by using the calculated three-dimensional shape of the droplet.

[0026] The detection unit may comprise a confocal microscope or a confocal sensor.

[0027] The method may further include storing the plurality of droplets emitted by the plurality of droplet ejecting units in a receiving unit.

[0028] Other aspects and features of the disclosure will be apparent from the drawings, claims and details of the detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The above and other aspects and features of the embodiments of the present disclosure will become more apparent through the following description in conjunction with the accompanying drawings, in which:

[0030] Figure 1 is a perspective view schematically showing an apparatus for manufacturing a display device according to an embodiment;

[0031] Figure 2 is schematically shown in Figure 1 A perspective view of a portion of an apparatus for manufacturing a display device shown in FIG.

[0032] Figure 3 is a block diagram describing a control unit according to an embodiment;

[0033] Figure 4 shows sampled low-resolution data according to an embodiment;

[0034] Figure 5 shows sample high resolution data according to an embodiment;

[0035] Figure 6 Detecting low-resolution data according to an embodiment is shown;

[0036] Figure 7 shows zoomed-in high-resolution data according to an embodiment;

[0037] Figure 8 shows data for extracting droplet volume according to an embodiment;

[0038] Fig. 9 is a schematic flow chart describing a method of manufacturing a display device according to an embodiment;

[0039] Fig.10 is a plan view schematically showing a display device manufactured by using the apparatus for manufacturing a display device according to the embodiment;

[0040] Fig.11 is Fig.10 A cross-sectional view of the display device shown in FIG.

[0041] Fig.12 According to the embodiment Fig.10 and Fig.11 : An equivalent circuit diagram of a pixel of a display panel is shown in FIG. DETAILED DESCRIPTION

[0042] Reference will now be made in detail to embodiments, examples of which are shown in the accompanying drawings. The described embodiments may have different forms and should not be construed as being limited to the descriptions set forth herein. Therefore, the embodiments are described below only by reference to the accompanying drawings to explain aspects and features of the present specification.

[0043] Because various modifications and various embodiments of the present disclosure are possible, specific embodiments are shown in the drawings and described in detail in the detailed description. With reference to the embodiments described in detail below in conjunction with the drawings, aspects and features of the present disclosure and methods for implementing them will be apparent. However, the present disclosure is not limited to the embodiments disclosed herein and may be implemented in various forms.

[0044] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings, and the same or corresponding components are indicated by the same reference numerals, and in the case where the same reference numerals are assigned, redundant explanation may be omitted.

[0045] It will be understood that when an element or layer is referred to as being "on," "connected to," or "bound to" another element or layer, the element or layer may be directly on, directly connected to, or directly bound to the other element or layer, or one or more intervening elements or layers may also be present. When an element or layer is referred to as being "directly on," "directly connected to," or "directly bound to" another element or layer, there are no intervening elements or layers. For example, when a first element is described as being "bound to" or "connected to" a second element, the first element may be directly bound to or directly connected to the second element, or the first element may be indirectly bound to or indirectly connected to the second element via one or more intervening elements.

[0046] In the accompanying drawings, for ease of explanation, the sizes of various elements, layers, etc. may be exaggerated. The same reference numerals represent the same elements. As used herein, the term "and / or" includes any combination and all combinations of one or more of the related listed items. In addition, when describing the embodiments of the present disclosure, the use of "may" relates to "one or more embodiments of the present disclosure". When expressions such as "at least one (kind / person) in ... " and "any one (kind / person) in ... " are located after a column of elements, the entire column of elements is modified without modifying the individual elements in the column. For example, the expression "at least one (kind / person) in a, b, and c" represents only a, only b, only c, both a and b, both a and c, both b and c, all of a, b, and c, or their variations. As used herein, the term "use" and its variations may be considered to be synonymous with the term "utilize" and its variations, respectively. As used herein, the terms "substantially", "about (approximately)" and similar terms are used as approximate terms, not as degree terms, and are intended to explain the inherent deviations of the measured values ​​or calculated values ​​that will be recognized by those of ordinary skill in the art.

[0047] It will be understood that, although the terms first, second, third, etc. can be used to describe various elements, components, regions, layers and / or parts here, these elements, components, regions, layers and / or parts should not be limited by these terms. These terms are used to distinguish an element, component, region, layer or part from another element, component, region, layer or part. Therefore, without departing from the teaching of the exemplary embodiment, the first element, component, region, layer or part discussed below can be referred to as the second element, component, region, layer or part.

[0048] For ease of description, spatially relative terms such as "under", "below", "below", "above", "on", etc. may be used herein to describe the relationship of one element or feature to another (additional) element or feature as shown in the accompanying drawings. It will be understood that, in addition to the orientation depicted in the accompanying drawings, the spatially relative terms are intended to include different orientations of the device in use or operation. For example, if the device in the accompanying drawings is turned over, the elements described as "under" or "below" other elements or features will then be oriented to be "above" or "on" the other elements or features. Therefore, the term "under" can include both above and below orientations. The device can be oriented otherwise (rotated 90 degrees or in other orientations), and the spatially relative descriptors used herein should be interpreted accordingly.

[0049] The terms used herein are for the purpose of describing the embodiments of the present disclosure and are not intended to limit the present disclosure. As used herein, unless the context clearly indicates otherwise, the singular forms "one" and "one (kind / person)" are also intended to include plural forms. It will also be understood that when the terms "include", "comprise" and / or its variations are used in this specification, the stated features, wholes, steps, operations, elements and / or components are indicated, but the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or their groups are not excluded.

[0050] In the following embodiments, the x-axis, y-axis, and z-axis are not limited to the three axes on the Cartesian coordinate system, and can be interpreted in a broader sense including the same meaning. For example, the x-axis, y-axis, and z-axis can be perpendicular to each other, but can refer to different directions that are not perpendicular to each other.

[0051] In the present disclosure, a specific process order may be performed in a different order than described. For example, two consecutively described processes may be performed substantially simultaneously or in an order opposite to the described order.

[0052] The control unit and / or any other related device or component according to the embodiments of the present disclosure described herein can be implemented using any suitable hardware, firmware (e.g., application specific integrated circuit), software and / or a suitable combination of software, firmware and hardware. For example, the various components of the control unit can be formed on an integrated circuit (IC) chip or on a separate IC chip. In addition, the various components of the control unit can be implemented on a flexible printed circuit film, a carrier package (TCP), a printed circuit board (PCB), or formed on the same substrate as the control unit. In addition, the various components of the control unit can be processes or threads running on one or more processors in one or more computing devices, which execute computer program instructions and interact with other system components to perform the various functions described here. The computer program instructions are stored in a memory, which can be implemented in a computing device using a standard memory device such as a random access memory (RAM) as an example. The computer program instructions can also be stored in other non-temporary computer-readable media such as CD-ROMs, flash drives, etc. as examples. In addition, it should be appreciated by those skilled in the art that, without departing from the scope of the exemplary embodiments of the present disclosure, the functions of various computing devices can be combined or integrated into a single computing device, or the functions of a specific computing device can be distributed throughout one or more other computing devices.

[0053] Figure 1 is a perspective view schematically showing an apparatus 100 for manufacturing a display device according to an embodiment, Figure 2 is schematically shown in Figure 1 0 is a perspective view of a portion of an apparatus 100 for manufacturing a display device shown in FIG.

[0054] Reference Figure 1 and Figure 2 , an apparatus 100 for manufacturing a display device may include a supporting unit 110 , a stage 120 , a moving unit 130 , a droplet ejecting unit 140 , a detecting unit (eg, a detector) 150 , a containing unit 160 , and a control unit (eg, a controller) 180 .

[0055] The supporting unit 110 may include a stage 111, a guide member 112, a substrate moving member 113, and a substrate rotating member 114. The stage 111 may include an alignment mark for aligning the display substrate S.

[0056] The display substrate S may be a substrate used in a display device currently manufactured. The display substrate S may include glass or a polymer resin such as polyethersulfone, polyacrylate, polyetherimide, polyethylene naphthalate, polyethylene terephthalate, polyphenylene sulfide, polyarylate, polyimide, polycarbonate (PC), cellulose triacetate (TAC), or cellulose acetate propionate.

[0057] The guide members 112 may be spaced apart from the substrate moving member 113 and on either side of the substrate moving member 113. The length of each of the guide members 112 may be greater than the length of the edge of the display substrate S. In such an embodiment, Figure 1 The length of the guide member 112 and the edge length of the display substrate S are measured in the x-axis direction.

[0058] The stage 120 may be disposed on the guide member 112. In an embodiment, the guide member 112 may include a constant track so that the stage 120 may exhibit linear motion in a longitudinal direction of the guide member 112 (e.g., along the longitudinal direction of the guide member 112). For example, the guide member 112 may include a linear motion track.

[0059] The substrate moving member 113 may be disposed on the platform 111. The substrate moving member 113 may extend in the longitudinal direction of the guide member 112. Figure 1 , the substrate moving member 113 can be Figure 1 In addition, the substrate moving member 113 may include a track, and the substrate rotating member 114 may perform linear motion along the track. For example, the substrate moving member 113 may include a linear motion track.

[0060] The substrate rotating member 114 may be provided to be rotatable on the substrate moving member 113 (e.g., may be rotatably provided on the substrate moving member 113). When the substrate rotating member 114 rotates, the display substrate S provided on the substrate rotating member 114 also rotates. In an embodiment, the substrate rotating member 114 may rotate around (or about) a rotation axis perpendicular to one surface of the platform 111 on which the display substrate S is placed. When the substrate rotating member 114 rotates around a rotation axis perpendicular to one surface of the platform 111 on which the display substrate S is placed, the display substrate S provided on the substrate rotating member 114 also rotates around a rotation axis perpendicular to one surface of the platform 111 on which the display substrate S is placed. In such an embodiment, the substrate rotating member 114 may fix the display substrate S after placing the display substrate S on the platform 111. For example, the substrate rotating member 114 may include one of a vacuum chuck, an electrostatic chuck, and an adhesive chuck.

[0061] The stage 120 may be disposed on the guide member 112. That is, the stage 120 may be disposed on the guide members 112 that are spaced apart from each other on either side of the substrate moving member 113 (eg, on opposite sides of the substrate moving member 113).

[0062] The stage 120 may move in the longitudinal direction of the guide member 112. In an embodiment, the stage 120 may be manually linearly moved or may be automatically linearly moved by including a motor, a cylinder, etc. For example, the stage 120 may be automatically linearly moved by including a linear motion block moving along a linear motion track.

[0063] The moving unit 130 may move linearly on (or along) the stage 120. For example, the stage 120 may include a constant track along which the moving unit 130 may move linearly. In such an embodiment, the droplet ejection unit 140 may be disposed on the moving unit 130 and may move together with the moving unit 130 when the moving unit 130 moves.

[0064] The moving unit 130 and the droplet ejecting unit 140 may be arranged in various ways. For example, a plurality of moving units 130 and a plurality of droplet ejecting units 140 may be provided. In such an embodiment, one droplet ejecting unit 140 may be provided on one moving unit 130, a portion of the plurality of droplet ejecting units 140 (e.g., one of the plurality of droplet ejecting units 140) may be arranged on one moving unit 130, or another portion of the plurality of droplet ejecting units 140 (e.g., another of the plurality of droplet ejecting units 140) may be arranged on another moving unit 130.

[0065] In another embodiment, a plurality of droplet ejecting units 140 may be provided, and one moving unit 130 may be provided. In such an embodiment, a plurality of droplet ejecting units 140 may be arranged on one moving unit 130, and may be simultaneously moved according to the movement of the moving unit 130. In such an embodiment, each of the droplet ejecting units 140 may include at least one head including at least one nozzle.

[0066] Hereinafter, for convenience of explanation, an embodiment in which a plurality of moving units 130 and a plurality of droplet ejecting units 140 are provided and one droplet ejecting unit 140 is provided on one moving unit 130 will be described in detail.

[0067] A plurality of moving units 130 may be provided. In such an embodiment, the number of moving units 130 may correspond to the number of droplet ejecting units 140. For example, each of the moving units 130 may include a first moving unit 131, a second moving unit 132, and a third moving unit 133.

[0068] The first mobile unit 131 and the second mobile unit 132 may be spaced apart from each other, and the second mobile unit 132 and the third mobile unit 133 may be spaced apart from each other. The distance between the first mobile unit 131 and the second mobile unit 132 may be equal to the distance between the second mobile unit 132 and the third mobile unit 133. In another embodiment, the distance between the first mobile unit 131 and the second mobile unit 132 and the distance between the second mobile unit 132 and the third mobile unit 133 may be different from each other. In the above embodiment, the first mobile unit 131, the second mobile unit 132, and the third mobile unit 133 may move independently of each other.

[0069] The moving unit 130 may move linearly on (or along) the stage 120. For example, the moving unit 130 may move in the length direction of the stage 120. For example, at least one of the first moving unit 131, the second moving unit 132, and the third moving unit 133 may move in a linear direction. Figure 1 Move in the y-axis direction or in the direction opposite to the y-axis direction.

[0070] In an embodiment, the moving unit 130 may be manually linearly moved. In another embodiment, the moving unit 130 may be automatically linearly moved by including a motor, a cylinder, etc. For example, the moving unit 130 may include a linear motion block that moves along a linear motion track.

[0071] The droplet ejecting unit 140 may be disposed on the moving unit 130 . For example, the first droplet ejecting unit 141 may be disposed on the first moving unit 131 , the second droplet ejecting unit 142 may be disposed on the second moving unit 132 , and the third droplet ejecting unit 143 may be disposed on the third moving unit 133 .

[0072] The droplet ejecting unit 140 may eject the droplets DR into the display substrate S or into the receiving unit 160. The droplets DR may be red, green, and blue inks in which pigment particles are mixed with liquid crystals, an alignment agent, and a solvent. In another embodiment, the droplets DR may be a polymer or a low molecular weight organic material corresponding to a light emitting layer of an organic light emitting display device. In another embodiment, the droplets DR may include a solution containing inorganic particles such as a quantum dot material.

[0073] The amount of droplets DR independently supplied to each of the first droplet ejecting unit 141, the second droplet ejecting unit 142, and the third droplet ejecting unit 143 (or emitted by each of the first droplet ejecting unit 141, the second droplet ejecting unit 142, and the third droplet ejecting unit 143) can be adjusted. In such an embodiment, each of the first droplet ejecting unit 141, the second droplet ejecting unit 142, and the third droplet ejecting unit 143 can be electrically connected to the control unit 180. Therefore, the amount of droplets DR ejected from each of the first droplet ejecting unit 141, the second droplet ejecting unit 142, and the third droplet ejecting unit 143 can be adjusted by the control unit 180. In the above-mentioned embodiment, at least one of the first droplet ejecting unit 141, the second droplet ejecting unit 142, and the third droplet ejecting unit 143 may include at least one nozzle for ejecting one droplet DR. In such an embodiment, when a plurality of nozzles are provided, at least one of the plurality of nozzles may provide the droplet DR to an opening described later (see, for example, Fig.11 For example, a nozzle can provide a droplet DR to an opening (see, e.g. Fig.11 In another embodiment, at least two nozzles can provide droplets DR to one opening (see, for example, Fig.11 19OP in it).

[0074] The detection unit 150 may detect and measure the shape of the droplet DR ejected by the droplet ejecting unit 140. For example, the detection unit 150 may detect and measure the shape of a portion of the outer surface of the droplet DR ejected by the droplet ejecting unit 140, or may detect and measure the shape of a portion of the cross section of the droplet DR ejected by the droplet ejecting unit 140. The detection unit 150 may detect the shape of the outer surface of the droplet DR projected onto the first plane SF1 (i.e., an arbitrary plane). The detection unit 150 may include a first detection unit 151 and a second detection unit 152.

[0075] The first detection unit 151 and the second detection unit 152 may detect the droplets DR ejected from the droplet ejecting unit 140 to the receiving unit 160. The first detection unit 151 and the second detection unit 152 may be arranged on a falling path of the droplets DR dropped from the droplet ejecting unit 140. In addition, the first detection unit 151 and the second detection unit 152 may be arranged in opposite directions based on the falling path of the droplets DR. That is, the second detection unit 152 may be disposed opposite to (e.g., facing) the first detection unit 151, with the dropped droplets DR between the second detection unit 152 and the first detection unit 151. For example, in Figure 2 In the embodiment, the first detection unit 151 and the second detection unit 152 may be spaced apart from each other in the x-axis direction.

[0076] The first detection unit 151 and the second detection unit 152 may detect the shape of a portion of the outer surface of the droplet DR projected onto the first plane SF1. If the shapes of the portions of the outer surface of the droplet DR detected by the first detection unit 151 and the second detection unit 152 are not connected to each other (for example, if the first detection unit 151 and the second detection unit 152 do not completely image the outer surface of the droplet DR), the control unit 180 may connect other portions except the shapes of the portions of the outer surface of the droplet DR detected by the first detection unit 151 and the second detection unit 152 (for example, the control unit 180 may infer or generate imaging data of the missing outer surface of the droplet DR).

[0077] The detection unit 150 may have various shapes. For example, the detection unit 150 may include a confocal microscope, an interference microscope, or a color confocal line sensor. The confocal microscope can obtain various two-dimensional images of objects with different depths, and is a microscope that reconstructs the three-dimensional structure of the object based on these two-dimensional images. The confocal microscope may be, for example, a color confocal microscope, a color line confocal microscope, etc. An interference microscope is a microscope that measures and quantifies by observing changes in the microstructure and phase of an object. The interference microscope may be, for example, a laser interference microscope, a white light interference microscope, etc. Hereinafter, for ease of explanation, an embodiment in which the detection unit 150 includes a confocal line sensor will be described in detail.

[0078] The number of the droplet ejecting units 140 may be greater than the number of the detecting units 150. The number of a set of detecting units 151 and 152 may be smaller than the number of the droplet ejecting units 140. Therefore, one detecting unit 150 may detect a plurality of droplets DR at the same time.

[0079] exist Figure 1 and Figure 2In the embodiment shown in FIG. 1 , three droplet ejecting units 140 and one detection unit 150 are provided. However, this is merely an example, and the number of droplet ejecting units 140 and the number of detection units 150 are not limited thereto. For example, in another embodiment, a plurality of detection units 150 may be provided, and the number of droplet ejecting units 140 may be greater than the number of detection units 150.

[0080] The accommodation unit 160 may be disposed between the guide members 112. In such an embodiment, the accommodation unit 160 may temporarily store the droplets DR when the droplets DR dropped from the droplet ejecting unit 140 are measured. The accommodation unit 160 may be disposed on the platform 111. In another embodiment, the accommodation unit 160 may also be disposed on the lower surface of the platform 111. In such an embodiment, a hole (or opening) may be formed in a portion of the platform 111 where the accommodation unit 160 is disposed.

[0081] In the apparatus 100 for manufacturing a display device, droplets DR may be supplied to a display substrate S so that an organic material layer may be formed on the display substrate S. In such an embodiment, the droplets DR need to be precisely ejected onto the display substrate S. To confirm this, after each droplet ejecting unit 140 is arranged to correspond to the receiving unit 160, the droplets DR may be detected by the detection unit 150 while ejecting the droplets DR onto the receiving unit 160. In another embodiment, each droplet ejecting unit 140 may eject the droplets DR onto the display substrate S, and the detection unit 150 may detect the droplets DR. In another embodiment, each droplet ejecting unit 140 may be placed on a support plate (the support plate is separately provided at a portion where the substrate rotating member 114 or the receiving unit 160 is provided), and the droplet ejecting unit 140 may supply the droplets DR to a test substrate having the same shape as the display substrate S, so that the detection unit 150 may detect the droplets DR. However, hereinafter, for convenience of explanation, an embodiment in which the liquid droplet ejecting unit 140 ejects the liquid droplets DR into the receiving unit 160 and the detecting unit 150 detects the liquid droplets DR will be described in detail.

[0082] The control unit 180 may extract (e.g., may determine based on the result of measurement using the detection unit 150) the volume of each of the plurality of droplets DR dropped from the plurality of droplet ejecting units 140 based on the result of measurement using the detection unit 150. The control unit 180 may control at least one of the droplet ejecting unit 140 and the moving unit 130 based on the volume of the droplet DR (e.g., based on the determined volume).

[0083] For example, the control unit 180 may control the amount of droplets DR ejected by the droplet ejection unit 140 and / or the ejection speed of the droplets DR. In addition, the position of the droplet ejection unit 140 may be changed by the moving unit 130 in response to the control unit 180, so that the ejection angle of the droplets DR and the falling path of the droplets DR may be adjusted so that the droplets DR fall at a desired position. In another embodiment, the droplet ejection unit 140 may be cleaned according to the ejection angle of the droplets DR or the falling path of the droplets DR, or the moving speed of the display substrate S or the moving speed of the droplet ejection unit 140 may be controlled.

[0084] Figure 3 is a block diagram illustrating a control unit 180 according to an embodiment, Figure 4 is a diagram showing sampled low-resolution data SLD according to an embodiment, Figure 5 is a diagram showing sampled high resolution data SHD according to an embodiment, Figure 6 is a diagram showing detection of low resolution data ELD according to an embodiment, Figure 7 is a diagram showing enlarged high-resolution data UHD according to an embodiment, and Figure 8 is a diagram showing data for extracting (or determining) the volume of a droplet according to an embodiment.

[0085] Reference Figures 2 to 8 The control unit 180 may extract (eg, may determine) the volume of each of the plurality of droplets DR based on the detected low resolution data ELD. The control unit 180 may include a machine learning unit 181 and a volume extraction unit 182.

[0086] First, refer to Figures 3 to 5 , the sampled low-resolution data SLD and the sampled high-resolution data SHD can be input into the machine learning unit 181, so that the correlation between the sampled low-resolution data SLD and the sampled high-resolution data SHD can be learned by the machine learning unit 181 (for example, it can be machine learning).

[0087] The data input to the machine learning unit 181 is data measured in advance after the droplet ejecting unit 140 ejects the droplet DR. For example, the sampled low-resolution data SLD and the sampled high-resolution data SHD are previously measured data.

[0088] The sampling low-resolution data SLD may be data including shapes of a plurality of sampling low-resolution droplets SLDR For example, the sampling low-resolution data SLD may be data including shapes of each of the first sampling low-resolution droplet SLDR1, the second sampling low-resolution droplet SLDR2, and the third sampling low-resolution droplet SLDR3.

[0089] The sampling high-resolution data SHD may be data including the shape of a sampling high-resolution droplet SHDR corresponding to each of a plurality of sampling low-resolution droplets SLDR. The resolution and magnification of the sampling high-resolution data SHD may be higher than the resolution and magnification of the sampling low-resolution data SLD. Therefore, the number of sampling low-resolution droplets SLDR included in the sampling low-resolution data SLD may be greater than the number of sampling high-resolution droplets SHDR included in the sampling high-resolution data SHD. For example, Figure 4 and Figure 5 As shown in , the number of sampling low-resolution droplets SLDR included in one sampling low-resolution data SLD may be three, and the number of sampling high-resolution droplets SHDR included in one sampling high-resolution data SHD may be one.

[0090] However, the number of sampled high-resolution data SHD may correspond to the number of sampled low-resolution droplets SLDR. Figure 5 Only the Figure 4 The first sampled low-resolution droplet SLDR1 in the image corresponds to a sampled high-resolution data SHD. Figure 4 As shown in , when three sampled low-resolution droplets SLDR are provided, three sampled high-resolution data SHD can be provided.

[0091] The machine learning unit 181 may include a sampling data input unit 1811 and a model type generator 1812 .

[0092] The sampled low-resolution data SLD and the sampled high-resolution data SHD may be input to the sampled data input unit 1811. The sampled low-resolution data SLD input to the sampled data input unit 1811 may be plural. In addition, the sampled high-resolution data SHD input to the sampled data input unit 1811 may be plural as in the sampled low-resolution data SLD (e.g., in a number corresponding to the sampled low-resolution data SLD).

[0093] The model type generator 1812 may generate an up-scaling model by analyzing the correlation between the sampled low-resolution data SLD and the sampled high-resolution data SHD.

[0094] In such an embodiment, the model type generator 1812 may generate an upscaling model by inputting the sampled low-resolution data SLD as an independent variable and by inputting the sampled high-resolution data SHD as a dependent variable and analyzing the correlation between the sampled low-resolution data SLD and the sampled high-resolution data SHD.

[0095] Reference Figure 2 , Figure 3 as well as Figures 6 to 8The volume extraction unit 182 can extract (for example, can determine by correcting (for example, by amplifying) the detected low-resolution data ELD into enlarged high-resolution data UHD) the volumes of multiple droplets DR based on the result of the learning performed by the machine learning unit 181.

[0096] Here, the detected low-resolution data ELD may be data actually detected by the detection unit 150. The detected low-resolution data ELD may be data including the shapes of a plurality of detected low-resolution droplets ELDR. For example, the number of detected low-resolution droplets ELDR may be equal to Figure 4 For example, the detection low-resolution data ELD may be data including the shape of each of the first detection low-resolution droplet ELDR1, the second detection low-resolution droplet ELDR2, and the third detection low-resolution droplet ELDR3.

[0097] The upscaled high-resolution data UHD may be data obtained by correcting (eg, by upscaling) the detection low-resolution data ELD. The upscaled high-resolution data UHD may have a resolution higher than that of the detection low-resolution data ELD.

[0098] The volume extraction unit 182 may include an amplification unit 1821 and a volume calculation unit 1822 .

[0099] The amplification unit 1821 can amplify the detected low-resolution data ELD into the amplified high-resolution data UHD by substituting (or inputting) the detected low-resolution data ELD into the amplified model. When the detected low-resolution data ELD is substituted into the amplified model, the resolution and amplification rate of the detected low-resolution droplet ELDR can be improved. Figure 7 As shown in , the resolution can be improved (eg, only improved) by adjusting the magnification again.

[0100] The volume calculation unit 1822 may calculate the volume of each of the plurality of droplets DR by extracting a plurality of three-dimensional images of the plurality of droplets DR based on the enlarged high-resolution data UHD. Figure 8As shown in , the volume extraction unit 182 can calculate the three-dimensional shape of the enlarged high-resolution droplet UHDR based on the enlarged high-resolution data UHD by rotating the outer surface of the enlarged high-resolution droplet UHDR based on the falling path of the enlarged high-resolution droplet UHDR. Here, the falling path of the enlarged high-resolution droplet UHDR may be the central axis of the enlarged high-resolution droplet UHDR. In addition, the volume extraction unit 182 can calculate the volume of the droplet DR by using the three-dimensional shape of the enlarged high-resolution droplet UHDR.

[0101] For example, the volume extraction unit 182 may rotate the first enlarged high-resolution droplet UHDR1 around the first central axis CL1, the second enlarged high-resolution droplet UHDR2 around the second central axis CL2, and the third enlarged high-resolution droplet UHDR3 around the third central axis CL3, thereby calculating the volume of each of the three droplets DR.

[0102] Fig. 9 is a schematic flowchart for describing a method of manufacturing a display device according to an embodiment.

[0103] exist Fig. 9 In, with Figures 1 to 8 The same reference numerals as those in the drawings represent the same elements, and thus, redundant descriptions thereof may be omitted.

[0104] Reference Fig. 9 , a method 200 of manufacturing a display device may include machine learning (210), droplet ejection (220), detection (230), and volume extraction (240).

[0105] In the machine learning (210), the sampled low-resolution data SLD and the sampled high-resolution data SHD may be input to a machine learning unit (see, e.g. Figure 3 181), and the correlation between the sampled low-resolution data SLD and the sampled high-resolution data SHD can be machine-learned.

[0106] The machine learning (210) may include a sample data input (211) and a model type generation (212). The sample data input (211) may be a process in which the sampled low-resolution data SLD and the sampled high-resolution data SHD are input to a sample data input unit (see, for example, Figure 3 The model type generation (212) may be an operation in which the model type generator (see, for example, Figure 3 1812) is an operation of analyzing (or determining) the correlation between the sampled low-resolution data SLD and the sampled high-resolution data SHD to generate a magnified model MD.

[0107] The droplet ejection (220) may be a plurality of droplet ejection units including nozzles (see, e.g. Figure 1 The detection (230) may be an operation in which the detection unit (see, for example, Figure 1 150) detects the operation of detecting low-resolution data ELD.

[0108] Volume extraction (240) may be a process in which a volume extraction unit (see e.g. Figure 3 182) is an operation of extracting (e.g., determining or calculating) the volumes of the plurality of droplets DR by correcting (or upscaling) the detected low-resolution data ELD into upscaled high-resolution data UHD based on the result of the learning performed during the machine learning (210).

[0109] Volume extraction (240) may include amplification (241) and volume calculation (242). Amplification (241) may be a process in which an amplification unit (see, e.g., Figure 3 1821 in the example) is an operation of upscaling the detected low resolution data ELD into the upscaled high resolution data UHD by substituting (or inputting) the detected low resolution data ELD into the upscaled model MD. The volume calculation (242) may be an operation in which the volume calculation unit (see, for example, Figure 3 1822) is an operation of calculating the volume of each of the plurality of droplets DR by extracting a three-dimensional image of the plurality of droplets DR based on the enlarged high-resolution data UHD.

[0110] Fig.10 is a plan view schematically showing a display device 1 manufactured by using the apparatus for manufacturing a display device according to the embodiment, and Fig.11 It is schematically shown Fig.10 0 is a cross-sectional view of a display device 1 manufactured by using an apparatus for manufacturing a display device.

[0111] Reference Fig.10 and Fig.11 The display device 1 may include a display area DA in which the pixels PX are disposed and a non-display area NDA disposed around the display area DA. The display device 1 may include a display substrate S. The display substrate S may include a substrate 10 and layers of the display layer DL except the common electrode 23.

[0112] The display layer DL and the thin film encapsulation layer TFE may be disposed on the substrate 10. The display layer DL may include a pixel circuit layer PCL and a display element layer DEL.

[0113] The substrate 10 may include glass or a polymer resin such as polyethersulfone, polyacrylate, polyetherimide, polyethylene naphthalate, polyethylene terephthalate, polyphenylene sulfide, polyarylate, polyimide, polycarbonate (PC), triacetate cellulose (TAC), or cellulose acetate propionate.

[0114] A barrier layer may be further provided between the display layer DL and the substrate 10. The barrier layer (ie, a barrier layer for preventing foreign matter from penetrating) may have a material including silicon nitride (SiN x , where x>0) or silicon oxide (SiO x , where x>0) is a single layer or multilayer structure of an inorganic material.

[0115] The pixel circuit layer PCL may be disposed on the substrate 10. The pixel circuit layer PCL may include a thin film transistor TFT and a buffer layer 11, a first insulating layer 13a, a second insulating layer 13b, a third insulating layer 15 and a planarization layer 17 disposed below or / and on components of the thin film transistor TFT.

[0116] The buffer layer 11 may include an inorganic insulating material such as silicon nitride, silicon oxynitride, and silicon oxide, and may have a single-layer or multi-layer structure including the above-mentioned inorganic insulating material.

[0117] The thin film transistor TFT may include a semiconductor layer 12, and the semiconductor layer 12 may include polycrystalline silicon. In another embodiment, the semiconductor layer 12 may include amorphous silicon, an oxide semiconductor, an organic semiconductor, etc. The semiconductor layer 12 may have a channel region 12c and a drain region 12a and a source region 12b on both sides (e.g., on opposite sides) of the channel region 12c. The gate electrode 14 may overlap the channel region 12c.

[0118] The gate electrode 14 may include a low resistance metal material. The gate electrode 14 may include a conductive material including molybdenum (Mo), aluminum (Al), copper (Cu), titanium (Ti), etc., and may have a multi-layer or single-layer structure including the above materials.

[0119] The first insulating layer 13a between the semiconductor layer 12 and the gate electrode 14 may include silicon oxide (eg, SiO 2 ), Silicon Nitride (SiN x ), silicon oxynitride (SiON), aluminum oxide (e.g., Al 2 O 3 ), titanium oxide (e.g., TiO 2 ), tantalum oxide (e.g., Ta 2 O 5 ), hafnium oxide (e.g., HfO 2 ) or zinc oxide (e.g., ZnO and / or ZnO 2) of inorganic insulating materials.

[0120] The second insulating layer 13b may be provided to cover the gate electrode 14. Similar to the first insulating layer 13a, the second insulating layer 13b may include silicon oxide (eg, SiO 2 ), Silicon Nitride (SiN x ), silicon oxynitride (SiON), aluminum oxide (e.g., Al 2 O 3 ), titanium oxide (e.g., TiO 2 ), tantalum oxide (e.g., Ta 2 O 5 ), hafnium oxide (e.g., HfO 2 ) or zinc oxide (e.g., ZnO and / or ZnO 2 ) of inorganic insulating materials.

[0121] The upper electrode Cst2 of the storage capacitor Cst may be disposed above the second insulating layer 13b. The upper electrode Cst2 may overlap the gate electrode 14 thereunder. The gate electrode 14 and the upper electrode Cst2 overlap each other with the second insulating layer 13b therebetween may form a storage capacitor Cst. That is, the gate electrode 14 may serve as the lower electrode Cst1 of the storage capacitor Cst.

[0122] In this manner, the storage capacitor Cst and the thin film transistor TFT may overlap each other. In some embodiments, the storage capacitor Cst may not overlap with the thin film transistor TFT (eg, may be offset from the thin film transistor TFT).

[0123] The upper electrode Cst2 may include aluminum (Al), platinum (Pt), palladium (Pd), silver (Ag), magnesium (Mg), gold (Au), nickel (Ni), neodymium (Nd), iridium (Ir), chromium (Cr), lithium (Li), calcium (Ca), molybdenum (Mo), titanium (Ti), tungsten (W) and / or copper (Cu), and may have a single-layer or multi-layer structure including the above materials.

[0124] The third insulating layer 15 may be provided to cover the upper electrode Cst2. The third insulating layer 15 may include silicon oxide (eg, SiO 2 ), Silicon Nitride (SiN x ), silicon oxynitride (SiON), aluminum oxide (e.g., Al 2 O 3 ), titanium oxide (e.g., TiO 2 ), tantalum oxide (e.g., Ta 2 O 5 ), hafnium oxide (e.g., HfO 2 ) or zinc oxide (e.g., ZnO and / or ZnO 2The third insulating layer 15 may have a single-layer or multi-layer structure including the above-mentioned inorganic insulating material.

[0125] Each of the drain electrode 16a and the source electrode 16b may be located on the third insulating layer 15. The drain electrode 16a and the source electrode 16b may include a conductive material (e.g., a good conductive material). The drain electrode 16a and the source electrode 16b may include a conductive material including molybdenum (Mo), aluminum (Al), copper (Cu), titanium (Ti), etc., and may have a multilayer or single-layer structure including the above materials. In an embodiment, the drain electrode 16a and the source electrode 16b may have a multilayer structure of Ti / Al / Ti.

[0126] The planarization layer 17 may include an organic insulating material. The planarization layer 17 may include an organic insulating material, for example, a general polymer such as polymethyl methacrylate (PMMA) or polystyrene (PS), a polymer derivative having a phenolic group, an acryl-based polymer, an imide-based polymer, an aryl ether-based polymer, an amide-based polymer, a fluorine-based polymer, a paraxylene-based polymer, a vinyl alcohol-based polymer, and a mixture thereof.

[0127] The display element layer DEL may be disposed on the pixel circuit layer PCL having the above structure. The display element layer DEL may include an organic light emitting diode OLED, and a pixel electrode 21 of the organic light emitting diode OLED may be electrically connected to the thin film transistor TFT through a contact hole (e.g., a contact opening) defined in the planarization layer 17 (e.g., extending through the planarization layer 17).

[0128] The pixel PX may include an organic light emitting diode OLED and a thin film transistor TFT. Each pixel PX may emit red light, green light, or blue light, for example, through the organic light emitting diode OLED, or may emit red light, green light, blue light, or white light.

[0129] The pixel electrode 21 may include, for example, indium tin oxide (ITO), indium zinc oxide (IZO), zinc oxide (ZnO), indium oxide (eg, In 2 O 3 ), indium gallium oxide (IGO) or aluminum zinc oxide (AZO). In another embodiment, the pixel electrode 21 may include a reflective layer containing Ag, Mg, Al, Pt, Pd, Au, Ni, Nd, Ir, Cr or a compound or mixture thereof. In another embodiment, the pixel electrode 21 may also include a conductive oxide of ITO, IZO, ZnO or In on / below the above-mentioned reflective layer. 2 O 3 The formed layer.

[0130] A pixel defining layer 19 having an opening 19OP exposing the center of the pixel electrode 21 may be disposed on the pixel electrode 21. The pixel defining layer 19 may include an organic insulating material and an inorganic insulating material. The opening 19OP may define an emission area (hereinafter referred to as an emission area EA) of light emitted from the organic light emitting diode OLED. For example, the width or diameter of the opening 19OP may correspond to the width or diameter of the emission area EA.

[0131] The light emitting layer 22 may be disposed in the opening 19OP in the pixel defining layer 19. The light emitting layer 22 may include a polymer or a low molecular weight organic material that emits light of a specific color. In another embodiment, the light emitting layer 22 may include a quantum dot material. The light emitting layer 22 may be formed by ejecting droplets from an apparatus for manufacturing the display device 1 according to an embodiment.

[0132] The first functional layer and the second functional layer may be arranged below and on the light emitting layer 22, respectively. The first functional layer may include, for example, a hole transport layer (HTL) or an HTL and a hole injection layer (HIL). The second functional layer may be a component or layer disposed on the light emitting layer 22. The second functional layer may include an electron transport layer (ETL) and / or an electron injection layer (EIL). Similar to the common electrode 23 to be described later, the first functional layer and / or the second functional layer may be a common layer formed to cover the substrate 10 as a whole.

[0133] The common electrode 23 may include a conductive material with a low work function. For example, the common electrode 23 may include a (semi) transparent layer including Ag, Mg, Al, Pt, Pd, Au, Ni, Nd, Ir, Cr, Li, Ca, or an alloy thereof. In another embodiment, the common electrode 23 may also include a conductive material such as ITO, IZO, ZnO, or In on the (semi) transparent layer including the above materials. 2 O 3 layer.

[0134] The thin film encapsulation layer TFE may be disposed on the common electrode 23. In an embodiment, the thin film encapsulation layer TFE may include at least one inorganic encapsulation layer and at least one organic encapsulation layer, and Fig.11 An embodiment is shown in which the thin film encapsulation layer TFE includes a first inorganic encapsulation layer 31 , an organic encapsulation layer 32 , and a second inorganic encapsulation layer 33 , which are sequentially stacked.

[0135] The first inorganic encapsulation layer 31 and the second inorganic encapsulation layer 33 may include one or more inorganic materials among aluminum oxide, titanium oxide, tantalum oxide, hafnium oxide, zinc oxide, silicon oxide, silicon nitride and silicon oxynitride. The organic encapsulation layer 32 may include a polymer material. The polymer material may include an acryl resin, an epoxy resin, polyimide, polyethylene, etc. In an embodiment, the organic encapsulation layer 32 may include acrylate.

[0136] In another embodiment, the thin film encapsulation layer TFE can be omitted, and the upper substrate as a transparent member and the substrate 10 are combined with each other via a sealing member, so that the internal space between the substrate 10 and the upper substrate is sealed. A hygroscopic agent or a filling material can be arranged in the internal space. The sealing member can be a sealant, and in another embodiment, the sealing member can include a material that can be cured by a laser. For example, the sealing member can be a glass material. In some embodiments, the sealing member can be a urethane resin, an epoxy resin, an acryl resin as an organic sealant, or a silicone as an inorganic sealant. The urethane resin can be, for example, urethane acrylate, etc. The acryl resin can be, for example, butyl acrylate, ethylhexyl acrylate, etc. The sealing member can include a material that can be cured by heating.

[0137] Fig.12 According to the embodiment Fig.10 and Fig.11 0 is an equivalent circuit diagram of a pixel PX of a display panel shown in FIG.

[0138] Each pixel PX may include a pixel circuit PC and a display element (e.g., an organic light emitting diode OLED) connected to the pixel circuit PC. The pixel circuit PC may include a first thin film transistor T1, a second thin film transistor T2, and a storage capacitor Cst. Each pixel PX may emit, for example, red light, green light, blue light, or white light through the organic light emitting diode OLED.

[0139] The second thin film transistor T2 (i.e., a switching thin film transistor) may be connected to the scan line SL and the data line DL, and may be configured to transmit a data voltage input from the data line DL to the first thin film transistor T1 in response to a switching voltage input from the scan line SL. The storage capacitor Cst may be connected to the second thin film transistor T2 and the driving voltage line PL, and may store a voltage corresponding to a difference between a voltage transmitted from the second thin film transistor T2 and a first power supply voltage ELVDD supplied to the driving voltage line PL.

[0140] The first thin film transistor T1 may be a driving thin film transistor, which may be connected to the driving voltage line PL and the storage capacitor Cst, and may control a driving current flowing from the driving voltage line PL through the organic light emitting diode OLED in response to a voltage value stored in the storage capacitor Cst. The organic light emitting diode OLED may emit light having a certain brightness by using (or according to) the driving current. The counter electrode (e.g., cathode) of the organic light emitting diode OLED may receive a second power supply voltage ELVSS.

[0141] Fig.12An embodiment in which the pixel circuit PC includes two thin film transistors and one storage capacitor is shown, but the embodiments of the present disclosure are not limited thereto. The number of thin film transistors and the number of storage capacitors may be changed differently according to the design of the pixel circuit PC. For example, in addition to the above-mentioned two thin film transistors, the pixel circuit PC may include four, five or more thin film transistors.

[0142] According to the embodiments of the present disclosure, the measurement time of the droplet volume can be reduced and the measurement accuracy can be improved.

[0143] It should be understood that the embodiments described herein should be considered in a descriptive sense and not for limiting purposes. The description of features or aspects within each embodiment should generally be considered to be applicable to other similar features or aspects in other embodiments. Although the embodiments of the present disclosure have been described with reference to the accompanying drawings, it will be understood by those of ordinary skill in the art that various changes in form and detail may be made therein without departing from the spirit and scope as defined by the claims and their equivalents.

Claims

1. An apparatus for manufacturing a display device, the apparatus comprising: a plurality of droplet ejecting units, each droplet ejecting unit comprising a nozzle for ejecting droplets; a detection unit disposed on a falling path of a plurality of liquid droplets dropped from the plurality of liquid droplet ejecting units and configured to detect low-resolution data including shapes of the plurality of liquid droplets to obtain detection low-resolution data; as well as a control unit configured to determine the volume of each of the plurality of droplets based on the detected low-resolution data, the control unit comprising: a machine learning unit configured to perform machine learning to determine a correlation between sampled low-resolution data and sampled high-resolution data, the sampled low-resolution data comprising shapes of a plurality of sampled low-resolution droplets, the sampled high-resolution data comprising shapes of sampled high-resolution droplets corresponding to each of the plurality of sampled low-resolution droplets input to the machine learning unit; and a volume extraction unit configured to determine the volume of each of the plurality of droplets by enlarging the detected low-resolution data into enlarged high-resolution data based on a result of learning by the machine learning unit, and The sampled high-resolution data has a magnification greater than that of the sampled low-resolution data.

2. The device according to claim 1, wherein The machine learning unit comprises: a sampling data input unit to which the sampling low-resolution data and the sampling high-resolution data are input; and A model type generator is configured to generate an upscaling model by analyzing the correlation between the sampled low-resolution data and the sampled high-resolution data.

3. The device according to claim 2, wherein: The volume extraction unit comprises: an enlargement unit configured to enlarge the detection low-resolution data into the enlarged high-resolution data by substituting the detection low-resolution data into the enlarged model; and A volume calculation unit is configured to calculate the volume of each of the plurality of liquid droplets by extracting a three-dimensional image of the plurality of liquid droplets based on the enlarged high-resolution data.

4. The device according to claim 1, wherein: The number of the plurality of liquid drop ejecting units is greater than the number of the detecting units.

5. The device according to claim 1, wherein: The detection unit comprises: a first detection unit; and The second detection unit faces the first detection unit, and the plurality of droplets are between the second detection unit and the first detection unit.

6. The device according to claim 5, wherein: The first detection unit and the second detection unit are each configured to detect a shape of a portion of an outer surface of the droplet projected on an arbitrary plane.

7. The device according to claim 6, wherein: The control unit is configured to calculate the outer surface of the liquid droplet by connecting a portion other than the shape of the portion of the outer surface of the liquid droplet detected by the first detection unit and the second detection unit.

8. The device according to claim 7, wherein: The volume extraction unit is configured to calculate a three-dimensional shape of the droplet by rotating the calculated outer surface of the droplet based on the falling path of the droplet, and is configured to calculate the volume of the droplet by using the calculated three-dimensional shape of the droplet.

9. The device according to claim 1, wherein: The detection unit comprises a confocal microscope or a confocal sensor. 10 . The apparatus of claim 1 , further comprising a receiving unit configured to store the plurality of droplets emitted from the plurality of droplet ejecting units.

11. A method for manufacturing a display device, the method comprising the following steps: inputting the sampled low-resolution data and the sampled high-resolution data into a machine learning unit to perform machine learning to determine a correlation between the sampled low-resolution data and the sampled high-resolution data, the sampled low-resolution data including shapes of a plurality of sampled low-resolution droplets, and the sampled high-resolution data including shapes of sampled high-resolution droplets corresponding to each of the plurality of sampled low-resolution droplets; ejecting a liquid droplet by using each of a plurality of liquid droplet ejecting units along a drop path, each of the plurality of liquid droplet ejecting units including a nozzle; detecting low-resolution data by a detection unit to obtain detected low-resolution data, the low-resolution data including shapes of a plurality of liquid droplets dropped from the plurality of liquid droplet ejecting units; as well as extracting, via a volume extraction unit, a volume of each of the plurality of droplets by upscaling the detected low-resolution data into upscaling high-resolution data based on a result learned by the machine learning unit, The sampled high-resolution data has a magnification greater than that of the sampled low-resolution data.

12. The method according to claim 11, wherein: The steps of machine learning include: inputting sampling data, the sampling data comprising the sampling low-resolution data and the sampling high-resolution data; and An upscaling model is generated by analyzing the correlation between the sampled low-resolution data and the sampled high-resolution data.

13. The method according to claim 12, wherein: The steps of volume extraction include: an upscaling step, in which the detected low-resolution data is upscaled into the upscaled high-resolution data by substituting the detected low-resolution data into the upscaling model; and A volume calculation step is performed in which the volume of each of the plurality of liquid droplets is calculated by extracting a three-dimensional image of the plurality of liquid droplets based on the enlarged high-resolution data.

14. The method according to claim 11, wherein: The number of the plurality of liquid drop ejecting units is greater than the number of the detecting units.

15. The method according to claim 11, wherein: The detection unit comprises: a first detection unit; and The second detection unit faces the first detection unit, and the plurality of droplets are between the second detection unit and the first detection unit.

16. The method according to claim 15, wherein: The first detection unit and the second detection unit are each configured to detect a shape of a portion of an outer surface of the droplet projected on an arbitrary plane.

17. The method according to claim 16, wherein: The step of volume extraction includes calculating the outer surface of the droplet by connecting portions other than the shape of the portion of the outer surface of the droplet detected by the first detection unit and the second detection unit.

18. The method according to claim 17, wherein: The step of volume extraction includes calculating a three-dimensional shape of the droplet by rotating the calculated outer surface of the droplet based on the falling path of the droplet, and calculating the volume of the droplet by using the calculated three-dimensional shape of the droplet.

19. The method according to claim 11, wherein: The detection unit comprises a confocal microscope or a confocal sensor. 20 . The method of claim 11 , further comprising storing the plurality of droplets dropped from the plurality of droplet ejecting units in a receiving unit.

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