Description:FIELD OF THE INVENTION

[0001] The present invention relates to a system for refurbishing walls that automates the detection and repair of wall defects along with selective paint application to improve accuracy, efficiency, and surface finish quality during wall renovation.

BACKGROUND OF THE INVENTION

[0002] A wall refurbishment task is typically performed manually by skilled laborers using paint brushes, rollers, and white cement materials to repair cracks and apply paint coatings over walls. In commercial or residential spaces, especially large-scale interiors or exteriors, the wall maintenance process is time-consuming, labor-intensive, and prone to inconsistencies such as overpainting, missed defects, or poor finishing. Operators often lack real-time tools to detect hidden surface issues or control quality throughout the painting and cementing operations. Consequently, this leads to substandard refurbishing results, increased cost, and repetitive repair cycles due to unaddressed surface imperfections.

[0003] Additionally, during manual wall painting, painters may unintentionally paint over objects mounted on the wall such as electrical outlets, decorative items, or switches, causing damage or messy finishes. Also, there are instances where surface cracks and crevices are overlooked before the paint is applied, leading to early wall degradation. Human painters lack integrated sensory feedback to evaluate surface moisture, pressure, or uniformity, which results in either under-application or paint wastage. Manual paint color change also involves flushing tools manually, which risks contamination between shades. These inefficiencies create an urgent demand for intelligent automation in wall refurbishment processes.

[0004] US8402714B2 discloses a plurality of mullion retrofit adaptors, each having a rear side configured and disposed to fit over the front side of at least some mullion of the existing supporting framework. It also includes a plurality of new mullions, each having a rear side configured and disposed to fit over at least some of the retrofit adaptors. A method for refurbishing an existing curtain wall attached to a base structure is also presented. This proposed concept can significantly reduce the time and costs for refurbishing an existing curtain wall.

[0005] WO2021035778A1 discloses a wall surface renovation method, comprising the following steps: determining a renovation area, and treating the wall surface of the renovation area until a base plane is reached; coating an impregnation curing agent on the renovation area; covering the renovation area by using a fiber texture network sandwich, which contains a three-dimensional intersecting network structure formed by fibers; pressure rolling the wall surface such that the impregnation curing agent impregnates the fibers and penetrates into network pores in the three-dimensional intersecting structure so that the fiber texture network sandwich is wetly attached to the surface of putty, and curing the impregnation curing agent and the putty to form a renovated wall surface. The described renovation method features short construction time, and little dust is produced during construction.

[0006] Conventionally, many methods and systems are available that are focused on automating painting processes or aiding in wall surface repairs. However, these conventional systems and methods often require extensive manual intervention, lack precision in identifying surface defects, and do not efficiently prevent paint application on wall-mounted objects such as switches, frames, or decorations. Furthermore, most of these systems do not check moisture levels, nor do they provide adaptable dispensing solutions for different paint colors or white cement material.

[0007] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a system that automates the process of wall refurbishment and must ensure object avoidance, adaptive surface correction using white cement, moisture detection for paint readiness, and efficient management of multiple paint solutions, thereby reducing manual errors and increasing painting precision with minimal human involvement.

OBJECTS OF THE INVENTION

[0008] The principal object of the present invention is to overcome the disadvantages of the prior art.

[0009] An object of the present invention is to develop a device that is capable of identifying damaged areas and objects that is not supposed to be painted for ensuring that only appropriate wall surfaces receive treatment, which prevents unnecessary corrections and preserves important wall-mounted items.

[0010] Another object of the present invention is to develop a device that is capable of significantly minimizing physical strain and time required from the user during wall refurbishment tasks by automating key functions like surface repair, paint application, and obstacle shielding.

[0011] Another object of the present invention is to develop a device that is capable of selectively dispensing materials based on real-time inputs and conditions, and prevents mixing of different paint types, thereby reducing waste and unnecessary material consumption.

[0012] Another object of the present invention is to develop a device that is capable of halting operation when unfavorable wall conditions (such as excessive moisture) are detected, ensuring that no paint or repair work is done under conditions that compromise adhesion or longevity.

[0013] Yet another object of the present invention is to develop a device that is capable of allowing the user to customize paint types and surface treatment preferences, making itself adaptable to varied renovation needs without requiring technical expertise.

[0014] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.

SUMMARY OF THE INVENTION

[0015] The present invention relates to a system for refurbishing walls that is accessed by a user to repair and paint indoor or outdoor wall surfaces by analyzing surface defects and object locations. In addition, the system identifies moisture levels and regions that are not supposed to be paint, dispense white cement over detected defects, and apply selected paint to ensure precision and eliminate manual errors.

[0016] According to an embodiment of the present invention, a system for refurbishing walls, comprising a housing equipped with a plurality of motorized wheels, the housing being sectioned into multiple compartments for storing paint solutions and white cement, a touch interactive display panel installed over the housing and operatively coupled with a microcontroller to provide input specification regarding color of paint solutions and type of white cement, a paint module interlinked with the microcontroller to apply corresponding paint solution over a wall, the paint module comprises a roller brush connected with a handle via a telescopic rod, a dispenser juxta-positioned over the roller brush, the dispenser and roller brush being connected together via a U-shape rod, the handle operated by a user to maneuver roller brush over a wall and the dispenser being connected to the compartments via a plurality of valves and conduits to dispense paint solution over the brush, the roller brush is connected via a coupler, providing easy attachment or detachment of the roller brush for replacement, the coupler is coupled with a motor having electrical linkage with the microcontroller to adjust the speed of rotation of the roller brush, the speed is adjusted on detecting a condition that the user is moving the roller brush at above or below a threshold value via an integrated RPM sensor, an electromagnetic spring is installed in between the handle and the roller brush to adjust the pressure applied over the wall based on the pressure value detected by a pressure sensor integrated over the surface of the roller brush.

[0017] According to another embodiment of the present invention, the system further includes a vacuum pump connected in between the pipes and a waste chamber, the vacuum pump configured to extract remnants of paint solution from the pipes when color is changed, preventing mixing of paint solutions, an imaging module and NIR (near infrared) sensor attached over the housing, to process surrounding images and identify objects located over the walls that are not to be painted along with surface defects over the walls, the imaging module is configured with machine learning protocol to adaptively learn regarding the objects over that does not require paint, a robotic arm coupled with the paint module, having a foam based plate as an end effector, wherein the robotic arm is controlled by the microcontroller to position the foam based plate in between the roller brush and the detected object, a white cement application module, coupled with the corresponding compartments to dispense the white cement in case any surface defect is detected, the white cement application module comprises a plate attached with a robotic joint, multiple pneumatic sharp pins, a white cement making unit and a plurality of nozzles, a moisture sensor operatively coupled with the handle to determine moisture content over the wall, and in case the sensor reading is above a threshold value, the microcontroller halts functioning of the system.

[0018] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

[0019] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 illustrates an isometric view of a system for refurbishing walls.

DETAILED DESCRIPTION OF THE INVENTION

[0020] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

[0021] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

[0022] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.

[0023] The present invention relates to a system for refurbishing walls that is accessed by a user for performing surface restoration and paint application over walls based on the detected surface condition. Additionally, the system determines surface moisture levels and identifies regions not to be painted, while simultaneously dispensing white cement for defect coverage and selectively apply paint solutions based on user input, thereby delivering improved wall treatment outcomes with minimal human intervention.

[0024] Referring to Figure 1, an isometric view of a system for refurbishing walls is illustrated, comprising a housing 101 equipped with a plurality of motorized wheels 102, the housing 101 being sectioned into multiple compartments 103, a touch interactive display panel 104 installed over the housing 101, a paint module 105 installed on the housing 101, the paint module 105 comprises a roller brush 105a connected with a handle 115 via a telescopic rod 116 and a coupler, a dispenser 105b juxta-positioned over the roller brush 105a, the dispenser 105b and roller brush 105a being connected together via a U-shape rod 105c, the dispenser 105b is installed with multiple nozzles 105d and being connected to the compartments 103 via a plurality of valves 113 and conduits 114, a vacuum pump 106 connected in between the pipes and a waste chamber 107, an electromagnetic spring 108 is installed in between the handle 115 and the roller 105a, an imaging module 109 attached over the housing 101, a robotic arm 110 coupled with the paint module 105, having a foam based plate 111 as an end effector, a white cement application module 112 installed over the housing 101, the white cement application module 112 comprises a plate 112a attached with a robotic joint 112b and multiple pneumatic sharp pins 112c, a white cement making unit 112d and a plurality of nozzles 112e.

[0025] The system disclosed herein comprises a housing 101, which serves as one of the main structures of the system and is positioned over a ground surface of an enclosure (e.g., residential buildings, commercial and office spaces, industrial facilities, and hospitality industries). In an embodiment of the present invention, the housing 101 is configured in various geometrical shapes, such as a rectangular cuboidal, cylindrical, or trapezoidal form.

[0026] Internally, the housing 101 is sectioned into multiple compartments 103, each of which is designated to store paint solutions of different colors and white cement, thus enabling the system to execute both painting and wall defect repair functions. The housing 101 is configured with multiple motorized wheels 102 which provide autonomous movement to the housing 101 over the surface.

[0027] In an embodiment of the present invention, a push button is installed with the housing 101 to activate or deactivate the system. The push button typically consists of a button cap which is the visible rounded part of the button that the user presses. When the user pushes the push button, it pushes down a plunger, which is a small rod or a cylinder. Inside the push button, there are electrical contacts made of electrical materials like metal. When the user presses the push button, it completes the electrical circuit, allowing current to flow and triggering a microcontroller associated with the system to activate the system.

[0028] A touch interactive display panel 104 is installed over the housing 101 that is accessed by the user to provide input details regarding color of paint solutions and type of white cement. The touch interactive display panel 104 as mentioned herein is typically an LCD (Liquid Crystal Display) screen that displays options of color of paint solutions and type of white cement in a visible form. The screen is equipped with touch-sensitive technology, allowing the user to interact directly with the display using their fingers. A touch controller IC (Integrated Circuit) is responsible for processing the analog signals generated when the user inputs details regarding their desired color of paint solutions and type of white cement.

[0029] In an embodiment of the present invention, a touch controller is typically connected to the microcontroller through various interfaces which may include but are not limited to PI (Serial Peripheral Interface) or I2C (Inter-Integrated Circuit).

[0030] A paint module 105 is installed over the housing 101 to apply a corresponding paint solution onto the wall. The paint module 105 is configured to receive inputs from the microcontroller regarding the desired paint color. Once a selection is made, the paint module 105 draws the correct paint from the designated compartment 103 and applies it on the wall.

[0031] The paint module 105 includes a roller brush 105a, which serves as a primary applicator of paint and is accessed by the user to maneuver roller brush 105a over the wall. The roller brush 105a is connected to a handle 115 via a telescopic rod 116, allowing users to adjust the length of the tool based on the height or reach of the target wall area. The telescopic rod 116 not only enhances ergonomic usability but also allows for dynamic control in both high and low elevation zones without the need for ladders or scaffolding.

[0032] As the user maneuver the roller brush 105a using the handle 115, the plurality of motorized wheels 102 is activated in synchrony with the user's movement. The system is programmed such that the wheels 102 respond to changes in handle 115 orientation and displacement whether the user moves forward, backward, or laterally. In an embodiment of the present invention, a motion-tracking sensors embedded within the handle 115 that detects the trajectory and velocity of the user’s movement. In response, the microcontroller sends real-time signals to the motors to adjust wheel 102 rotation and steering direction, which allows the housing 101 to follow the user dynamically, maintaining an optimal trailing distance so that the paint module 105 remains continuously supplied.

[0033] Furthermore, a vibration motor embedded in the handle 115 to alert the user to specific conditions. This haptic feedback provides immediate, discreet warnings to improve painting technique and comfort in case a gyro sensor installed on the handle 115, detects any unwanted tilt.

• The roller vibrates if the handle 115 is tilted too far left or right (beyond 30°) while painting, which alerts the user to correct their angle, ensuring even paint distribution and preventing uneven coverage.
• If the sensor detects jerky or uneven arm strokes or rapid up-down motion, the handle 115 vibrates. This repeating pulse gently reminds the user to maintain a consistent stroke rhythm, preventing streaks and blotches effectively.
• If the gyro sensor identifies an uncomfortable or awkward handle 115 angle, the motorized joint shifts slightly. The microcontroller adjusts the roller's head angle for better comfort, optimizing user ergonomics during painting, especially overhead tasks.

[0034] Positioned juxta to the roller brush 105a is a dispenser 105b, whose role is to transfer paint solution directly onto the brush 105a surface. The dispenser 105b and roller brush 105a are mechanically joined by a U-shape rod 105c, forming a unified structural assembly that maintains consistent alignment and spacing. The dispenser 105b includes multiple nozzles 105d distributed evenly across its length, with the length of the dispenser 105b precisely matching that of the roller brush 105a, which ensures a uniform distribution of paint across the roller brush 105a, eliminating streaks or uneven coating and facilitating a smooth application on the wall surface.

[0035] The dispenser 105b is fluidly connected to the compartments 103 via a plurality of valves 113 and conduits 114. These conduits 114 channel paint solution from the selected storage compartment 103 to the dispenser 105b. The microcontroller receives user input via the touch interactive display panel 104 and is configured to selectively actuate the corresponding valve 113 based on the selected color of paint solution. The valve 113 works by utilizing electrical energy to automize the flow solution in a controlled flow pattern by converting the pressure energy of a fluid into kinetic energy, which increases the fluid's velocity. Upon actuation of valve 113 by the microcontroller, a pump linked with the valve, pressurizes the incoming paint solution, increasing its pressure significantly. When the valve 113 opens, the selected paint solution flows through the conduits 114 into the dispenser 105b, where it is evenly emitted through the nozzles 105d onto the roller brush 105a.

[0036] To ensure precise and adaptive control over application dynamics, the roller brush 105a is connected via a coupler, which allows easy attachment or detachment of the brush 105a head for replacement or maintenance. The coupler is linked to a motor, which is electrically connected to the microcontroller. This motor controls the rotational speed of the roller brush 105a, which directly affects the spread rate and consistency of paint application. An integrated RPM (rotation per minute) sensor continuously monitors the speed at which the user is maneuvering the roller brush 105a. If the movement falls above or below a threshold value, the sensor sends feedback to the microcontroller, which accordingly adjusts the motor’s speed to maintain optimal paint flow and roller performance, thereby ensuring uniform surface coverage.

• If the user moves the roller quickly (e.g., 50 cm/s), the motor decreases the roller's rotation speed. This ensures sufficient paint is applied over the larger area covered, preventing thin spots and maintaining consistent coverage effectively.
• Conversely, if movement slows (e.g., 10 cm/s), the motor increases the painting roller’s rotation speed. This prevents over-application of paint in small areas, ensuring an even coat and avoiding drips or excessive buildup efficiently.

[0037] To further refine the quality of paint application, an electromagnetic spring 108 is installed in between the handle 115 and the roller brush 105a. This component dynamically controls the pressure exerted by the roller on the wall surface. A pressure sensor integrated on the surface of the roller brush 105a detects real-time contact force. The pressure sensor contains a piezoelectric material, which generates a voltage in response to mechanical stress. When a pressure is exerted by the roller on the wall surface, it deforms the piezoelectric material. The pressure exerted by the roller on the wall surface causes the material to deform, creating a strain. This strain results in the generation of an electric charge across the material, producing a voltage signal proportional to the applied pressure. The generated voltage is typically very small so the signal is amplified to make it suitable for further processing.

[0038] The sensor data is processed by the microcontroller, which adjusts the tension or compression in the electromagnetic spring 108, which ensures that an optimal amount of pressure is applied not excessive to cause spillage or wall damage, and not less to result in faint coating regardless of variations in surface texture or user grip.

[0039] A vacuum pump 106 is connected with the pipes that is activated when the user switches paint colors. It functions to extract residual paint solution from the internal conduits 114, ensuring that no leftover paint contaminates the new color. The waste paint is directed into a dedicated waste chamber 107 installed over the housing 101, preserving color purity, protecting internal valves 113 and dispenser 105b from clogging.

[0040] Meanwhile, an imaging module 109 and NIR (near infrared) sensor mounted on the housing 101, work together to enable environmental analysis of wall surfaces that are not to be painted (such as switches, sockets, decorative elements, and wall-mounted objects) along with surface defects over the walls. The imaging module 109 consists of a high-resolution camera sensor array, typically multispectral, which captures visible-spectrum images of the wall in real time. These images provide critical visual context such as object outlines, boundaries, wall coloration, and potential obstructions.

[0041] Alongside the imaging module 109, the NIR sensor operates in the near-infrared spectrum, detecting subtle variations in thermal or reflective properties of wall materials and embedded objects. The NIR sensor is particularly effective at identifying underlying wall damage, moisture-prone zones, or inconsistencies in material density that may not be visible to the standard camera module. Together, the imaging and NIR sensors provide complementary data streams, one in the visual domain and the other in the infrared spectrum, offering an effective understanding of wall conditions.

[0042] All collected data is routed to the microcontroller, where it is processed by a pre-installed machine learning protocol integrated within the imaging module 109. This machine learning is trained using a dataset containing images and annotated classifications of various common wall-mounted objects, surface irregularities, and non-paintable elements. The machine learning protocols uses computer vision techniques such as object detection (e.g., bounding boxes or segmentation masks), texture analysis, and edge detection to parse the incoming image data.

[0043] When the imaging module 109 scans a wall, the machine learning model begins by performing real-time image inference to detect familiar shapes, edges, and reflective patterns. For example, the model identifies an object (e.g., a light switch), it flags that region as a non-paintable zone. Over time, the machine learning protocol operates adaptively, meaning that as it encounters new wall layouts, unusual object types, or lighting variations, it continuously refines its detection performance. This is achieved through incremental learning, where false positives or new object classifications are logged and, optionally, used to update the model via periodic cloud-based or local retraining. For example, if a previously unrecognized wall-mounted thermostat is detected and manually flagged as non-paintable, it stores this example and adjusts its object recognition parameters for future tasks.

[0044] Additionally, the machine learning module is responsible for defect classification, using both imaging and NIR data to differentiate between cosmetic marks and structural issues, which enables detection whether an anomaly requires white cement filling via the white cement application module 112, or whether it painted over.

[0045] These detections are translated into masking coordinates, which the microcontroller uses to command a robotic arm 110 coupled with the paint module 105, having a foam-based plate 111 to block paint flow from reaching that area. The robotic arm 110 is a type of mechanical arm which is usually available with similar function to a human arm. The segments of such a manipulator are connected by joints allowing either rotational motion or translational displacement. The robotic arm 110 contains several segments that are attached together by joints also referred to as axes. The robotic arm 110 contains several segments that are attached together by motorized joints also referred to as axes. Each joint of the segments contains a step motor that rotates and allows the robotic arm 110 to complete a specific motion in translating the equipped plate 111 in between the roller brush 105a and the detected object.

[0046] A white cement application module 112 is a specialized subassembly designed to detect, prepare, and repair surface defects on the wall. It operates in close integration with the imaging module 109, the NIR sensor, and the microcontroller, all of which coordinate to determine defect location, severity, and required material dispensing. Upon confirmation of a defect, the microcontroller activates the white cement application module 112 to perform a sequence of automated actions.

[0047] The white cement application module 112 includes a plate 112a attached with a robotic joint 112b. The plate 112a serves as a stable mounting base for the defect-repair tools, such as the pneumatic pins 112c and nozzles 112e. The robotic joint 112b allows for multi-axis movement (e.g., pitch, yaw, and vertical translation), enabling the plate 112a to be positioned with high precision against the defective area of the wall, regardless of height or angle. The joint is motorized and controlled by the microcontroller, which calculates the optimal approach path and orientation based on the coordinates received from the imaging module 109.

[0048] Once the plate 112a is positioned in front of the defect, the microcontroller activates the multiple pneumatic sharp pins 112c embedded within the plate 112a. These pins 112c are powered by compressed air, controlled via solenoid valves. The sharp pins 112c perform the crucial task of preparing the defect surface, they pierce or scrape away any loose debris, flaking paint, or surface buildup that may interfere with proper adhesion of white cement. In cases of shallow cracks or filled gaps, the pneumatic pins 112c also widen or clean the opening to ensure that the white cement properly penetrates and bond with the underlying substrate.

[0049] After surface preparation, the white cement application module 112 engages the white cement making unit 112d, which is a self-contained component responsible for producing fresh white cement paste on demand.

[0050] In an embodiment of the present invention, the white cement making unit 112d consist of internal mixing blades or paddles and input conduits 114 linked to dry powder and water compartments 103 within the main housing 101. Upon activation, the white cement making unit 112d draws in predefined ratios of water and white cement powder, mixes them into a homogeneous paste, and maintains it at the right viscosity suitable for application. The microcontroller ensures the mixing duration, speed, and ratios are optimized based on predefined parameters or ambient temperature/humidity feedback as detected via a temperature sensor or humidity sensor.

[0051] Once the cement paste is ready, it is directed toward the plurality of nozzles 112e arranged on the plate 112a via a conduit connected between the mixing unit and application module 112. These nozzles 112e are distributed across the surface of the plate 112a to cover defects of varying shapes and sizes. The nozzle array is connected via small hoses to the output of the white cement making unit 112d and features valve-controlled actuation to selectively discharge cement through one or more nozzles 112e depending on the geometry and location of the defect as detected by the imaging module 109.

[0052] In an embodiment of the present invention, some nozzles 112e may deliver thin streams for hairline cracks, while others may eject broader flows for patching large dents or holes.

[0053] When the cement is applied, the robotic joint 112b slightly reposition the plate 112a or employ a flat extension to smooth and level the applied material, ensuring it is flush with the wall surface. The repaired area is then left to cure naturally before the paint module 105 resumes operation over it.

[0054] The application module 112 also includes a projection unit, which illuminates detected wall patches with a focused light and clearly highlights areas requiring white cement application, making users immediately aware of where treatment is needed. It serves as an intuitive visual guide, simplifying the patching process for the user.

[0055] In an embodiment of the present invention, the projection unit typically a holographic projection unit or laser-based projection unit.

[0056] Meanwhile, a moisture sensor operatively coupled with the handle 115, meaning the moisture sensor is physically mounted or integrated near the point where the user positions the roller brush 105a against the wall. This placement allows the sensor to take direct, real-time readings of the wall’s surface moisture content as the user is manoeuvring the brush 105a across different areas.

[0057] Internally, the moisture sensor typically operates based on dielectric constant measurement. The sensor includes a pair of conductive probes or a surface-mounted pad array. When brought close to or in contact with the wall surface, the sensor emits a small electrical signal and measures how the wall material alters the flow of current or electric field. Since water has a significantly higher dielectric constant than dry wall materials, the presence of moisture increases the detected signal value. This raw electrical data is then translated into a quantitative moisture level reading, typically expressed as a percentage or relative scale.

[0058] The moisture data is instantly transmitted to the microcontroller, which constantly compares it to a predefined threshold value stored in its memory. This threshold represents the maximum allowable wall moisture level for effective paint or cement application. If the detected value remains below this threshold, the system continues to function normally, allowing the paint module 105 or white cement application module 112 to operate.

[0059] However, if the moisture reading exceeds the threshold, the microcontroller triggers a safety interlock that halts all active functions of the device, which includes disabling the roller brush 105a motor, closing the paint valves 113, and locking the movement of the robotic arm 110.

[0060] In an embodiment of the present invention, a notification is displayed on the touch interactive display panel 104, informing the user that the wall surface is excessive damp for reliable operation.

[0061] The present invention works best in the following manner, where the user interacts with the touch interactive display panel 104 to provide inputs related to the color of paint solutions and the type of white cement to be used. These inputs are processed by the microcontroller that controls the entire operation of the system. The housing 101 itself is mobile, being supported by the plurality of motorized wheels 102, and internally organized into multiple compartments 103 for storing various paint solutions and white cement required for different stages of wall treatment. Once the desired paint color and cement type are selected, the paint module 105, which is interlinked with the microcontroller, prepares to apply the selected paint solution. The paint module 105 includes the roller brush 105a connected to the handle 115 via the telescopic rod 116, allowing the user to extend the brush 105a reach manually. the dispenser 105b is juxta-positioned over the roller brush 105a, and both are mechanically connected by the U-shape rod 105c. The microcontroller actuates the specific valve 113 to direct the chosen paint solution through conduits 114 to the dispenser 105b, which then delivers it to the roller brush 105a. As the user maneuvers the handle 115, the brush 105a applies the paint smoothly over the wall. Before paint application begins, the imaging module 109 and the NIR (near infrared) sensor, mounted on the housing 101, scan the wall. These components analyze the surface to detect objects located over the walls that must be excluded from paint coverage (such as electrical fittings, wall hangings, etc.) and also identify any surface defects such as holes, dents, or cracks. The imaging module 109 is configured with the machine learning protocol, which enables it to learn over time which types of objects typically do not require painting, thus improving detection accuracy in repeated usage. When the imaging module 109 detects such the object, the microcontroller commands the robotic arm 110 that is coupled with the paint module 105 to activate. The robotic arm 110 positions the foam-based plate 111, which serves as the end effector, between the roller brush 105a and the detected object that blocks the roller brush 105a from contacting or painting the protected object, allowing the rest of the wall to be treated seamlessly.

[0062] In continuation, if the surface defect is detected, the white cement application module 112 is activated. This module is connected to the appropriate compartments 103 containing white cement. The plate 112a attached with the robotic joint 112b positions itself at the defect site. The module also includes multiple pneumatic sharp pins 112c, which may be used to roughen or prepare the surface for cement application. Then, the white cement making unit 112d prepares the mixture, and the plurality of nozzles 112e dispense the white cement into the defect area to restore surface uniformity before painting proceeds. To ensure optimal surface conditions, the moisture sensor is integrated into the handle 115. As the user begins applying paint, this sensor continuously checks the moisture content over the wall. If the moisture level exceeds the predefined threshold, indicating that the surface is too damp for effective paint or cement adhesion, the microcontroller halts all system functions until the condition improves. To maintain color purity, especially when switching between different paint solutions, the system includes the vacuum pump 106 connected between the pipes and the waste chamber 107. When the new color is selected, the vacuum pump 106 is triggered by the microcontroller to extract any remnants of paint solution from the conduits 114, thus preventing undesired color mixing. Additionally, the roller brush 105a is mounted using the coupler, which allows for easy detachment and replacement of the brush 105a as needed. This coupler is also connected to the motor, which has the electrical linkage with the microcontroller. the RPM sensor monitors the rotational speed of the brush 105a. If the user moves the brush 105a at the speed outside the designated range, the motor adjusts the rotation accordingly to ensure consistent and even paint application. Finally, to regulate the pressure applied on the wall surface during painting, the electromagnetic spring 108 is installed between the handle 115 and the roller brush 105a. the pressure sensor integrated into the surface of the roller brush 105a measures the applied force. Based on the sensor data, the electromagnetic spring 108 adjusts its stiffness in real time, ensuring that the brush 105a applies the uniform pressure on the wall, which contributes to better paint coverage and finish.

[0063] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , Claims:1) A system for refurbishing walls, comprising:

i) a housing 101 equipped with a plurality of motorized wheels 102, the housing 101 being sectioned into multiple compartments 103 for storing paint solutions and white cement;
ii) a touch interactive display panel 104 installed over the housing 101 and operatively coupled with a microcontroller to provide input specification regarding color of paint solutions and type of white cement;
iii) a paint module 105 interlinked with the microcontroller to apply corresponding paint solution over a wall;
iv) an imaging module 109 and NIR (near infrared) sensor attached over the housing 101, to process surrounding images and identify objects located over the walls that are not to be painted along with surface defects over the walls;
v) a robotic arm 110 coupled with the paint module 105, having a foam-based plate 111 as an end effector, wherein the robotic arm 110 is controlled by the microcontroller to position the foam-based plate 111 in between the roller brush 105a and the detected object;
vi) a white cement application module 112, coupled with the corresponding compartments 103 to dispense the white cement in case any surface defect is detected; and
vii) a moisture sensor operatively coupled with the handle 115 to determine moisture content over the wall, and in case the sensor reading is above a threshold value, the microcontroller halts functioning of the device.

2) The device as claimed in claim 1, wherein the paint module 105 comprises a roller brush 105a connected with a handle 115 via a telescopic rod 116, a dispenser 105b juxta-positioned over the roller brush 105a, the dispenser 105b and roller brush 105a being connected together via a U-shape rod 105c.

3) The device as claimed in claim 2, wherein the handle 115 operated by a user to maneuver roller brush 105a over a wall and the dispenser 105b being connected to the compartments 103 via a plurality of valves 113 and conduits 114 to dispense paint solution over the brush 105a.

4) The device as claimed in claim 3, wherein the microcontroller is configured to selectively actuate corresponding valve 113 based on the selected color of paint solution.

5) The device as claimed in claim 3, further comprising a vacuum pump 106 connected in between the pipes and a waste chamber 107, the vacuum pump 106 configured to extract remnants of paint solution from the pipes when color is changed, preventing mixing of paint solutions.

6) The device as claimed in claim 1, wherein the imaging module 109 is configured with machine learning protocol to adaptively learn regarding the objects over that does not require paint.

7) The device as claimed in claim 2, wherein the roller brush 105a is connected via a coupler, providing easy attachment or detachment of the roller brush 105a for replacement.

8) The device as claimed in claim 7, wherein the coupler is coupled with a motor having electrical linkage with the microcontroller to adjust the speed of rotation of the roller brush 105a, wherein the speed is adjusted on detecting a condition that the user is moving the roller brush 105a at above or below a threshold value via an integrated RPM sensor.

9) The device as claimed in claim 2, further comprising an electromagnetic spring 108 is installed in between the handle 115 and the roller brush 105a to adjust the pressure applied over the wall based on the pressure value detected by a pressure sensor integrated over the surface of the roller brush 105a.

10) The device as claimed in claim 1, wherein the white cement application module 112 comprises a plate 112a attached with a robotic joint 112b, multiple pneumatic sharp pins 112c, a white cement making unit 112d and a plurality of nozzles 112e.